Em todo o mundo, existe uma crescente competição pelo uso de água entre os diversos setores da sociedade. A agricultura é uma grande consumidora do total de água doce disponível. Neste contexto, é desejável uma realocação dos recursos hídricos usados na agricultura para outros setores, tais como o abastecimento público. Desde que realizada de forma controlada, a irrigação com efluentes de estação de tratamento de esgoto (EETE) é altamente atrativa, pois além de possibilitar a liberação de recursos hídricos de melhor qualidade para outras atividades humanas, serve como uma forma de tratamento complementar do efluente, fornecendo ainda água e nutrientes essenciais aos cultivos agrícolas. No entanto, o uso sustentável dos EETEs na agricultura depende não apenas dos aspectos químicos, físicos e biológicos do sistema soloplanta- água, como também de aspectos sócio-econômicos. Assim, o presente trabalho teve por objetivo estudar os efeitos da irrigação com EETE no agrossistema, avaliando a aceitação da prática pelo proprietário rural e mapeando as áreas potencialmente irrigáveis com efluente no município de Lins. Dos 15 proprietários entrevistados, todos se mostraram favoráveis à prática e destinariam, ao menos uma parte da propriedade, para irrigação com o EETE. O fato do resíduo (efluente) originar-se do tratamento de esgoto urbano não influenciou a percepção dos agricultores quanto ao potencial de aproveitamento agrícola do efluente. O principal fator determinante da maior ou menor aceitação da prática diz respeito aos possíveis ganhos econômicos envolvidos (maior produtividade e menor despesa com fertilizantes minerais). Para os proprietários, o maior empecilho à adoção generalizada da prática corresponde aos custos envolvidos no transporte do efluente até as propriedades. Da área total do município de Lins, 73,42% estão cultivados com pastagens e cana-de-açúcar. Considerando-se as instruções técnicas utilizadas para a definição das áreas apropriadas para irrigação com efluente, existe no município um potencial de 112,9 km2 de áreas aptas, ou seja, 19,82% da área total do município passível de receber EETE via irrigação por aspersão. A inexistência de bases legais que regulamentem o uso deste subproduto, se apresenta como o principal fator limitante para a irrigação de culturas no município de Lins. / Worldwide, there is an increasing competition for the use of water between different sectors of society. The agriculture is a major consumer of the total fresh water available. In this context, it is desirable a reallocation of water resources used in agriculture to other sectors, such as public supply. Since done in a controlled way, irrigation with effluent from sewage treatment plants (TSE) is highly attractive, enabling the release of better water quality sources for other human activities, serving as a complementary treatment of the effluent, also providing water and essential nutrients to agricultural crops. However, the sustainable agricultural use of TSE depends not only of chemical, physical and biological aspects of the soil-plant-water system, but also of socioeconomic aspects. Thus, this study aimed to investigate the effects of TSE irrigation in the agrosystem, evaluating the acceptance of the practice by the rural owners and mapping the potentially effluent irrigable areas in the city of Lins. Of the 15 rural owners interviewed, all were in favor of the practice and could reserve, at least a part of the property, for the irrigation with TSE. The fact that the waste (effluent) originates from the treatment of urban sewage has not influenced the perception of farmers about the potential agricultural use of the effluent. The main determining factor of greater or lesser acceptance of the practice relates to the possible economic gains involved (greater productivity and lower expenses with mineral fertilizers). For the rural owners, the biggest drawback to a widespread adoption of the practice corresponds to the costs involved in transporting the sewage to the properties. Of the total area of the municipal district of Lins, 73.42% are cultivated with grassland grass and sugarcane. Considering the technical instructions employed to define the suitable areas for effluent irrigation, there is a local potential of 112.9 km2 of suitable areas, or 19.82% of the total area of the municipality may receive STE via sprinkler irrigation. The lack of legal basis regulating the use of this byproduct represents the main restriction for the crops irrigation in the municipality of Lins.

Unidades de conservação possuem o objetivo de preservar a natureza, evitando o desmatamento e promovendo a sustentabilidade do meio ambiente. Contudo, para que estas atendam aos propósitos para os quais foram criadas, sem acarretar prejuízos sociais ou conflitos com as populações locais, estudos aplicados interdisciplinares são essenciais, agregando conhecimento útil à gestão e ao planejamento das unidades de conservação. Sob a ótica da ciência da complexidade, o objetivo principal deste trabalho foi desenvolver modelos que auxiliassem na compreensão das mudanças no uso e cobertura da terra, realizassem simulações de cenários futuros, e permitissem observar os efeitos da implantação de políticas de preservação sobre a paisagem. Construímos modelos dinâmicos baseados em cadeias de Markov e autômatos celulares, aliados a técnicas de geoprocessamento. Os modelos foram aplicados a um estudo de caso, o Parque estadual do Itinguçu, ao longo de uma série temporal de materiais aerofotográficos de quase 50 anos (1962-2010). Os resultados dos modelos mostraram que a implantação da unidade de conservação foi essencial para barrar o desmatamento, mas que as práticas tradicionais de agricultura itinerante não estavam diretamente relacionadas à conversão da área de floresta, indicando que a incompatibilidade entre preservação e presença humana, muitas vezes usada como justificativa para a implantação de unidades de proteção integral, deve ser reavaliada sob outra perspectiva. Os resultados também apontaram para um desempenho satisfatório do modelo de Markov em projetar tendências, apesar de possuir certa aleatoriedade na alocação dos elementos no espaço. O incremento do autômato celular diminuiu tal aleatoriedade, mas não foi tão eficiente em reproduzir as tendências observadas nas matrizes de transição quanto o modelo de Markov. Concluímos que a metodologia aplicada no presente trabalho foi útil para compreendermos as mudanças na paisagem da área de estudo, e que a escolha do modelo (Markov ou Markov com autômato celular) deve ser feita com base em uma análise criteriosa caso a caso, em conformidade com as prioridades do estudo a ser realizado. Espera-se que esta pesquisa possa fomentar a discussão sobre o uso desta metodologia como uma ferramenta para planejamento e análise de políticas de conservação da natureza e gestão do território / Conservation units have the purpose to preserve the nature, avoiding the deforestation and promoting the environment sustainability. However, for these to be effective in that purpose, without causing social injuries or conflicts with the local population, interdisciplinary applied studies are essential and must be made by different areas of science, adding useful knowledge to the management of protected areas. Under the vision of the Complexity Science, the main goal of this research was to develop models that help in understanding the land use and cover changes, perform simulations of future scenarios, and allow observing the effects of the implementation of conservation policies on the landscape. We built Markov and cellular automata models, allied to the geoprocessing techniques. The models were applied to a case study, the Parque Estadual do Itinguçu, over a time series of aero photographic materials of almost 50 years (1962-2010). The results of the models showed that the implementation of the conservation unit was essential to stop the deforestation, but the traditional practices of shifting cultivation were not directly related to the conversion of forest area, indicating that the incompatibility between conservation and human presence, often used as justification for the implementation of some strict protection units, should be reviewed from a different perspective. The results also pointed to a satisfactory performance of the Markov model to project trends, despite having certain randomness in the allocation of elements in space. Add cellular automata to model decreased this randomness, but was not so effective in reproducing the observed trends in transition matrices than the Markov model. We concluded that the methodology applied in this study was useful for understanding the changes in the landscape of the study area, and that the choice of model (Markov or Markov with cellular automata) should be based on a careful analysis in accordance with the priorities of the study to be applied. We hope that this research can encourage the discussion of this methodology as a tool for analysis of conservation policies of nature and land management

Em todo o mundo, existe uma crescente competição pelo uso de água entre os diversos setores da sociedade. A agricultura é uma grande consumidora do total de água doce disponível. Neste contexto, é desejável uma realocação dos recursos hídricos usados na agricultura para outros setores, tais como o abastecimento público. Desde que realizada de forma controlada, a irrigação com efluentes de estação de tratamento de esgoto (EETE) é altamente atrativa, pois além de possibilitar a liberação de recursos hídricos de melhor qualidade para outras atividades humanas, serve como uma forma de tratamento complementar do efluente, fornecendo ainda água e nutrientes essenciais aos cultivos agrícolas. No entanto, o uso sustentável dos EETEs na agricultura depende não apenas dos aspectos químicos, físicos e biológicos do sistema soloplanta- água, como também de aspectos sócio-econômicos. Assim, o presente trabalho teve por objetivo estudar os efeitos da irrigação com EETE no agrossistema, avaliando a aceitação da prática pelo proprietário rural e mapeando as áreas potencialmente irrigáveis com efluente no município de Lins. Dos 15 proprietários entrevistados, todos se mostraram favoráveis à prática e destinariam, ao menos uma parte da propriedade, para irrigação com o EETE. O fato do resíduo (efluente) originar-se do tratamento de esgoto urbano não influenciou a percepção dos agricultores quanto ao potencial de aproveitamento agrícola do efluente. O principal fator determinante da maior ou menor aceitação da prática diz respeito aos possíveis ganhos econômicos envolvidos (maior produtividade e menor despesa com fertilizantes minerais). Para os proprietários, o maior empecilho à adoção generalizada da prática corresponde aos custos envolvidos no transporte do efluente até as propriedades. Da área total do município de Lins, 73,42% estão cultivados com pastagens e cana-de-açúcar. Considerando-se as instruções técnicas utilizadas para a definição das áreas apropriadas para irrigação com efluente, existe no município um potencial de 112,9 km2 de áreas aptas, ou seja, 19,82% da área total do município passível de receber EETE via irrigação por aspersão. A inexistência de bases legais que regulamentem o uso deste subproduto, se apresenta como o principal fator limitante para a irrigação de culturas no município de Lins. / Worldwide, there is an increasing competition for the use of water between different sectors of society. The agriculture is a major consumer of the total fresh water available. In this context, it is desirable a reallocation of water resources used in agriculture to other sectors, such as public supply. Since done in a controlled way, irrigation with effluent from sewage treatment plants (TSE) is highly attractive, enabling the release of better water quality sources for other human activities, serving as a complementary treatment of the effluent, also providing water and essential nutrients to agricultural crops. However, the sustainable agricultural use of TSE depends not only of chemical, physical and biological aspects of the soil-plant-water system, but also of socioeconomic aspects. Thus, this study aimed to investigate the effects of TSE irrigation in the agrosystem, evaluating the acceptance of the practice by the rural owners and mapping the potentially effluent irrigable areas in the city of Lins. Of the 15 rural owners interviewed, all were in favor of the practice and could reserve, at least a part of the property, for the irrigation with TSE. The fact that the waste (effluent) originates from the treatment of urban sewage has not influenced the perception of farmers about the potential agricultural use of the effluent. The main determining factor of greater or lesser acceptance of the practice relates to the possible economic gains involved (greater productivity and lower expenses with mineral fertilizers). For the rural owners, the biggest drawback to a widespread adoption of the practice corresponds to the costs involved in transporting the sewage to the properties. Of the total area of the municipal district of Lins, 73.42% are cultivated with grassland grass and sugarcane. Considering the technical instructions employed to define the suitable areas for effluent irrigation, there is a local potential of 112.9 km2 of suitable areas, or 19.82% of the total area of the municipality may receive STE via sprinkler irrigation. The lack of legal basis regulating the use of this byproduct represents the main restriction for the crops irrigation in the municipality of Lins.

Sudan as a Sahelian country faced numerous drought periods resulting in famine and mass immigration. Spatial data on dynamics of land use and land cover is scarce and/or almost nonexistent. The study area in the North Kordofan State is located in the centre of Sudan and falls in the Sahelian eco-climatic zone. The region generally yields reasonable harvests of rainfed crops and the grasslands supports plenty of livestock. But any attempts to develop medium- to longterm strategies of sustainable land management have been hampered by the impacts of drought and desertification over a long period of time. This study aims to determine and analyse the dynamics of change of land use/land cover classes. The study attempts also to improve classification accuracy by using different data transformation methods like PCA, TCA and CA. In addition it tries to investigate the most reliable methods of pre-classification and/or post-classification change detection. The research also attempts to assess the desertification process using vegetation cover as an indicator. Preliminary mapping of major soil types is also an objective of this study. Landsat data of MSS 187/51 acquired on 01.01.1973 and ETM+ 174/51 acquired on 16.01.2001 were used. Visual interpretation in addition to digital image processing was applied to process the imagery for determining land use/land cover classes for the recent and reference image. Pre- and post-classification change detection methods were used to detect changes in land use/land cover classes in the study area. Pre-classification methods include image differencing, PC and Change Vector Analysis. Georeferenced soil samples were analysed to measure physical and chemical parameters. The measured values of these soil properties were integrated with the results of land use/ land cover classification. The major LULC classes present in the study area are forest, farm on sand, farm on clay, fallow on sand, fallow on clay, woodyland, mixed woodland, grassland, burnt/wetland and natural water bodies. Farming on sandy and clay soils constitute the major land use in the area, while mixed woodland constitutes the major land cover. Classification accuracy is improved by adopting data transformation by PCA, TCA and CA. Pre-classification change detection methods show indistinct and sketchy patterns of change but post-classification method shows obvious and detailed results. Vegetation cover changes were illustrated by use of NDVI. In addition preliminary soil mapping by using mineral indices was done based on ETM+ imagery. Distinct patterns of clay, gardud and sand areas could be classified. Remote sensing methods used in this study prove a high potential to classify land use/land cover as well as soil classes. Moreover the remote sensing methods used confirm efficiency for detecting changes in LULC classes and vegetation cover during the addressed period.

Στα πλαίσια της παρούσας έρευνας, μελετήθηκε η προστατευόμενη περιοχή του Οικολογικού Δικτύου Natura 2000: «Λιμνοθάλασσα Πύλου (Διβάρι), Νήσος Σφακτηρία, Αγ. Δημήτριος» με κωδικό GR2550004. Διεξάχθηκαν δύο εποχικές δειγματοληψίες, στις 31 Αυγούστου του 2012 και στις 21 Απριλίου του 2013. Η λιμνοθάλασσα της Γιάλοβας έχει έκταση περίπου 2,5 Km2, μέγιστο βάθος 1 m και επικοινωνεί με τον κόλπο του Ναυαρίνου μέσω ενός τεχνητού διαύλου. Αρχικά, πραγματοποιήθηκε η ηχοβολιστική αποτύπωση του πυθμένα, με χρήση ηχοβολιστή πλευρικής σάρωσης (Side Scan Sonar, SSS) με σκοπό να αποκαλυφθεί, τόσο η μορφολογία του βυθού, όσο και η παρουσία, η αφθονία και η χωρική κατανομή των υδρόβιων μακροφύτων. Κατόπιν, σε 9 προεπιλεγμένους δειγματοληπτικούς σταθμούς, πραγματοποιήθηκε καταγραφή των φυσικοχημικών παραμέτρων και συλλέχθηκαν δείγματα υδρόβιας χλωρίδας. Με τη βοήθεια του ηχοβολιστή πλευρικής σάρωσης μελετήθηκε, περίπου, το 37% της έκτασης της λιμνοθάλασσας. Μέσω αυτής της διαδικασίας, προέκυψαν 6 διαφορετικοί ακουστικοί τύποι που αντιστοιχούν σε 6 διαφορετικά ποσοστά φυτοκάλυψης: πυκνή (76-100%), λιγότερο πυκνή (51-75%), αραιή (26-50%), πολύ αραιή (6-25%), σπάνια (1-5%) και καθόλου (<1%). Αφού κατασκευάστηκε το μωσαϊκό του πυθμένα, με τη χρήση των λογισμικών Triton Isis και TritonMap (Delphmap) της Triton Imaging Inc., διαπιστώθηκε ότι, η λιμνοθάλασσα καλύπτεται από βλάστηση σε ποσοστό περίπου 25% ενώ, περίπου, το 75% δεν καταλαμβάνεται από κάποιο είδος υδρόβιας βλάστησης, και το υπόστρωμα είναι αμμώδες/ ιλυοαμμώδες (Μπούζος et al., 2002a). Τα αποτελέσματα του Αυγούστου έδειξαν ότι, η πυκνή φυτοκάλυψη φτάνει περίπου στο 2% της υπό μελέτη έκτασης, και χωρικά περιορίζεται κοντά στο δίαυλο επικοινωνίας με τη θάλασσα. Η υδρόβια χλωρίδα που απαντά στους σταθμούς αυτούς αποτελείται από τα είδη Ruppia cirrhosa σε μίξη με την Cymodocea nodosa, με κυρίαρχο είδος τη Ruppia cirrhosa. Όσο απομακρυνόμαστε από το δίαυλο, η πυκνή φυτοκάλυψη εναλλάσσεται με λιγότερο πυκνή, σε ποσοστό 1% επί του συνόλου, και αποτελείται από τα ίδια είδη. Η αραιή φυτοκάλυψη, απαντά σε ποσοστό 3% και χωρικά κατανέμεται στο δίαυλο επικοινωνίας, αλλά και στα νοτιοδυτικά της λιμνοθάλασσας, όπου, εκτός από τη Ruppia cirrhosa, απαντά και η Cladophora glomerata. To ποσοστό της πολύ αραιής φυτοκάλυψης κυμαίνεται γύρω στο 15% και χωρικά κατανέμεται, κυρίως, στα βορειοανατολικά της λιμνοθάλασσας, όπου απαντά μόνο η Ruppia cirrhosa, ενώ, σε ποσοστό 4%, η φυτοκάλυψη είναι σπάνια και απαντά στα βορειοδυτικά και στα κεντρικά σημεία της λιμνοθάλασσας. Τον Απρίλιο, η χωρική κατανομή των υδρόβιων μακροφύτων είναι ακόμα πιο περιορισμένη, με συμμετοχή μόνο της Ruppia cirrhosa, η οποία συγκεντρώνεται κυρίως, κοντά στο δίαυλο επικοινωνίας με τον κόλπο του Ναυαρίνου, καθώς εκεί ευνοείται η ανανέωση του νερού και οι περιβαλλοντικές συνθήκες είναι κατάλληλες για την ανάπτυξή τους. Τονίζεται επίσης ότι, τον Απρίλιο, συλλέχθηκε από τα βόρεια της λιμνοθάλασσας ένα είδος του γένους Ulva spp, που αποτελεί δείκτη ευτροφικών συνθηκών (Orfanidis et al., 2005, Aliaume et al., 2007). Γενικά, το κυρίαρχο είδος στη λιμνοθάλασσα, και τις δύο δειγματοληπτικές περιόδους, είναι το κοσμοπολίτικο είδος Ruppia cirrhosa το οποίο έχει καταγραφεί ξανά στην περιοχή (Tiniakos et al., 1997). Σε όλους τους δειγματοληπτικούς σταθμούς, καταγράφηκαν οι παράμετροι: θερμοκρασία, αλατότητα, pH και διαλυμένο οξυγόνο, αλλά και το βάθος της λιμνοθάλασσας, η διαφάνεια του νερού και η ένταση της φωτοσυνθετικά ενεργής ακτινοβολίας (PAR). Επιπλέον, υπολογίστηκαν οι συγκεντρώσεις της χλωροφύλλης-α, τα ολικά αιωρούμενα στερεά (TSS), οι συγκεντρώσεις των ανόργανων ενώσεων αζώτου και φωσφόρου, καθώς και τα επίπεδα της ολικής αλκαλικότητας των ανθρακικών και όξινων ανθρακικών ιόντων. Τα αποτελέσματα έδειξαν χωρική και χρονική διακύμανση όλων των παραμέτρων, με πιο σημαντικές τις διακυμάνσεις της θερμοκρασίας, της αλατότητας και της συγκέντρωσης των θρεπτικών ενώσεων αζώτου και φωσφόρου. H εποχική διακύμανση των περιβαλλοντικών παραμέτρων προκαλεί φυσικό stress στους υδρόβιους οργανισμούς επηρεάζοντας την αφθονία και εξάπλωσή τους (Crouzet et al., 1999). O έλεγχος των στατιστικώς σημαντικών διαφορών των φυσικοχημικών παραμέτρων, πραγματοποιήθηκε με τον έλεγχο Mann-Whitney U, ο οποίος έδειξε ότι υπάρχουν στατιστικώς σημαντικές διαφορές, μεταξύ των δύο εποχών, που αφορούν στις παραμέτρους: διαφάνεια, αλατότητα, θερμοκρασία, pH, TSS, NO2, CO3ˉ και HCO3=. Αντίθετα, δεν εντοπίστηκαν στατιστικώς σημαντικές διαφορές μεταξύ των δύο εποχικών δειγματοληψιών στις παραμέτρους: βάθος, διαλυμένο οξυγόνο, χλωροφύλλη-α, NO3, NH4 και PO4. Ενδεικτικά, η θερμοκρασία παρουσίασε μεγάλη εποχική διακύμανση, σημειώνοντας πολύ υψηλές τιμές τον Αύγουστο (28,80 C - 30,50 C), και πολύ χαμηλότερες τον Απρίλιο (19,0 0C - 20,40C). Η αλατότητα παρουσίασε μεγάλες διακυμάνσεις από σταθμό σε σταθμό, κυρίως τον Αύγουστο, αλλά και από εποχή σε εποχή. Συγκεκριμένα τον Αύγουστο, κυμάνθηκε από 42,73‰ έως 54,42‰ ενώ τον Απρίλιο κυμάνθηκε γύρω στο 31‰ σε όλη την έκταση της λιμνοθάλασσας. Επιπρόσθετα, το pH παρουσίασε στατιστικώς σημαντικές διαφορές, καθώς τον Αύγουστο κυμάνθηκε στο 8,23 κατά μέσο όρο, αναφορικά για όλη τη λιμνοθάλασσα, ενώ τον Απρίλιο παρουσίασε πτωτική τάση, αφού η μέση του τιμή ήταν 6,99. Όσον αφορά στις συγκεντρώσεις των θρεπτικών, τα αμμωνιακά ιόντα ήταν η κυρίαρχη μορφή αζώτου, καθώς παρουσίασε υψηλές τιμές και τις δύο δειγματοληπτικές περιόδους, ενώ, τα νιτρώδη ιόντα, παρόλο που διέφεραν στατιστικώς σημαντικά, σε γενικές γραμμές, κυμάνθηκαν σε χαμηλά επίπεδα και τους δύο μήνες (έως 0,010 mg/l). Το διαλυμένο οξυγόνο παρέμεινε σε φυσιολογικά επίπεδα και τους δύο μήνες, όπου η μέση τιμή του ήταν 8 mg/l. Το βάθος δεν μεταβλήθηκε σημαντικά, ενώ τα επίπεδα της χλωροφύλλης-α, ήταν υψηλά και τις δύο χρονικές περιόδους. Η ανάλυση Spearman έδειξε σαφείς συσχετίσεις μεταξύ των περιβαλλοντικών παραμέτρων. Ανάμεσα στις πιο σημαντικές συγκαταλέγονται, η αρνητική συσχέτιση της διαφάνειας με την εποχή και το βάθος. Επιπλέον, σημαντική είναι η αρνητική συσχέτιση της αλατότητας και της θερμοκρασίας με την εποχή, αλλά και η θετική συσχέτιση μεταξύ των δύο πρώτων. Στη συνέχεια, εξίσου σημαντική είναι η θετική συσχέτιση του pH με την αλατότητα και τη θερμοκρασία, αλλά αξιοσημείωτες είναι και οι θετικές συσχετίσεις που παρουσιάζουν τα TSS με τη θερμοκρασία και το pH, και η χλωροφύλλη-α με τη διαφάνεια. Σύμφωνα με τα κριτήρια που έθεσε η Οργάνωση για Συνεργασία και Ανάπτυξη (ΟΕCD) για τα στάσιμα ύδατα, προέκυψε η τροφική κατάσταση της λιμνοθάλασσας, με βάση τις μέσες και οριακές τιμές των παραμέτρων: TP, χλωροφύλλη-α και διαφάνεια (Secchi depth) (OECD, 1982). Έτσι, με βάση τη μέση συγκέντρωση του ολικού φωσφόρου χαρακτηρίζεται ως υπερτροφική τον Αύγουστο και ως ευτροφική τον Απρίλιο. Όσον αφορά στη χλωροφύλλη-α, με βάση τις μέσες και μέγιστες τιμές που σημειώθηκαν τον Αύγουστο, η λιμνοθάλασσα χαρακτηρίζεται ως ευτροφική, ενώ τον Απρίλιο χαρακτηρίζεται ως ευτροφική, με βάση τη μέση τιμή, αλλά ως μεσοτροφική, με βάση τη μέγιστη τιμή που καταγράφηκε. Τέλος, όσον αφορά στη διαφάνεια, σύμφωνα με τις μέσες και ελάχιστες τιμές της, η λιμνοθάλασσα, και τους δύο μήνες, χαρακτηρίζεται ως υπερτροφική. Με χρήση των Γεωγραφικών Συστημάτων Πληροφοριών (ΓΣΠ), και με υπόβαθρο ένα μωσαϊκό ορθοφωτοχαρτών της Κτηματολόγιο Α.Ε., που αποκτήθηκαν κατά το διάστημα 2007-2009, κατασκευάστηκε ο χάρτης των καλύψεων/ χρήσεων γης του συστήματος ταξινόμησης Corine Land Cover 2000, για ολόκληρη την προστατευόμενη περιοχή. Ακολούθως, έγινε η αντιστοίχηση των κατηγοριών καλύψεων/ χρήσεων γης που προέκυψαν, με τους τύπους οικοτόπων του Παραρτήματος Ι της Οδηγίας 92/43/ΕΚ, στο 3ο επίπεδο ταξινόμησης. Επιπλέον, πραγματοποιήθηκε μια ποιοτική σύγκριση μεταξύ του νέου χάρτη και του χάρτη του Corine Land Cover, που κατασκευάστηκε για την περιοχή το 2000. Με βάση το χάρτη που κατασκευάστηκε διαπιστώθηκε ότι, υπάρχει ποικιλία φυσικών τύπων οικοτόπων, που προσδίδουν στην περιοχή ιδιαίτερη οικολογική και αισθητική αξία. Περιμετρικά της λιμνοθάλασσας απαντούν μεσογειακά αλίπεδα (Juncetalia maritimi), καλαμώνες, μεσογειακοί λειμώνες υψηλών χόρτων και βούρλων (Molinio Holochoenion), παρόχθια δάση-στοές και λόχμες (Nerio-Tamaricetea και Securinegion tinctoriae), σχηματισμοί με αρκεύθους (Juniperus spp.), υποτυπώδεις κινούμενες θίνες, κινούμενες θίνες της ακτογραμμής με Ammophila arenaria και μονοετή βλάστηση μεταξύ των ορίων πλημμυρίδας και αμπώτιδας. Επιπλέον, στη νήσο Σφακτηρία, στους λόφους του Παλαιόκαστρου και του Πετροχωρίου, απαντούν απόκρημνες βραχώδεις ακτές με βλάστηση στη Μεσόγειο (με ενδημικά Limonium spp.), Garrigues της Ανατολικής Μεσογείου και φρύγανα ενώ, οι όχθες του ποταμού Σελά χαρακτηρίζονται από δάση ανατολικής πλατάνου (Platanus orientalis). Τονίζεται η σημειακή συμμετοχή του τύπου προτεραιότητας των θινών των παραλιών με αρκεύθους (Juniperus spp). Επιπλέον, σε μεγάλη έκταση, απαντούν οι αγροτικές καλλιέργειες, με κυρίαρχους τους ελαιώνες, περιοχές αστικού πρασίνου, δρόμοι αλλά και οικισμοί. Τα αποτελέσματα της παρούσας εργασίας όπως η αποτύπωση της μορφολογίας του πυθμένα της λιμνοθάλασσας και των καλύψεων/ χρήσεων γης, στα όρια της προστατευόμενης περιοχής και η περαιτέρω εκτίμηση της οικολογικής κατάστασης της λιμνοθάλασσας θα συμβάλλουν περαιτέρω στην ορθολογική διαχείριση της. / In the context of this research, the protected area of the «Natura 2000» ecological network: "Pylos Lagoon, Sfaktiria island, St. Dimitrios" with the sitecode GR2550004, has been studied. Two sampling campaigns were carried out, οn August 31st 2012 and on April 21st 2013. Gialova lagoon covers an area of 2.5 Km2 with a maximum depth of 1 m and is connected with the adjoining Navarino Bay, via a small channel. Firstly, side scan sonar bottom interpretation was carried out, in order to investigate, not only the morphology of the lagoon’s bottom, but also the presence, abundance and spatial distribution of aquatic macrophytes. In addition, physicochemical parameters were recorded in 9 different sampling stations. Furthermore, samplings of aquatic vegetation were carried out as well. Initially, with the use of SSS, roughly 37% of the lagoon’s surface has been studied. Side scan sonar imagery resulted in 6 different acoustic types, which correspond to 6 different percentages of plant cover: thick (76-100%), less than thick (51-75%), sparse (26-50%), too sparse (6-25%), rare (1-5%) and absent (<1%). Having built the mosaic of the bottom of the lagoon, with the use of software Triton Isis and Triton Map (Delphmap) of Triton Imaging Inc., it was found that, the lagoon is covered by vegetation at 25%, while 75% is not occupied by any kind of aquatic vegetation, but the substrate is sandy/mudsandy (Bouzos et al., 2002a). The results of August showed that the thick plant cover reaches approximately 2% of the study area, and it is spatially restricted near the communication channel with the sea. The aquatic flora which responds to these stations is Ruppia cirrhosa in mixing with the Cymodocea nodosa, with the Ruppia cirrhosa as the dominant species. When we move away from the communication channel, the thick plant cover alternates with less than thick, representing 1% of the total, and consists of the same species. The sparse plant cover responds to 3% and is spatially distributed in the communication channel, but also in the southwest of the lagoon, where, apart from the Ruppia cirrhosa, Cladophora glomerata is found as well. The percentage of too sparse vegetation is around 15%, and it is spatially distributed mainly in the north-east of the lagoon, where only Ruppia cirrhosa is found, while, the vegetation is rare at 4%, and responds to the northwest and the central points of the lagoon. In April, the spatial distribution of aquatic macrophytes is even more limited, involving only the Ruppia cirrhosa, which is mainly concentrated near the communication channel with the adjoining Navarino Bay, which favored the renewal of water and where the environmental conditions are suitable for their development. It should be also noted that, in April, an occasional species of the genus Ulva spp., was collected from the northern section of the lagoon. This species is an indicator of eutrophic conditions (Orfanidis et al., 2005, Aliaume et al., 2007). In general, the dominant species in the lagoon, in both sampling periods, is the cosmopolitan species Ruppia cirrhosa, which has been recorded before in the region (Tiniakos et al., 1997). The following parameters were recorded in all the sampling stations: temperature, salinity, pH and dissolved oxygen, but also the depth of the lagoon, the transparency of the water’s column and the volume of photosynthetically active radiation (PAR). Furthermore, chlorophyll-a, total suspended solids (TSS), inorganic nitrogen and phosphorus compounds, as well as the levels of total alkalinity of carbonates and acid carbonates were calculated. The results showed spatial and temporal variability of all parameters, and the most significant fluctuations were observed in temperature, salinity and in nitrogen and phosphorus concentrations. This seasonal variation of environmental parameters causes natural stress on aquatic organisms affecting their abundance and their spatial distribution (Crouzet et al., 1999). The control of the statistically significant differences in physicochemical parameters was carried out with the Mann-Whitney U test, which has shown that, there are statistically significant differences between the two seasons, relating to parameters: transparency, salinity, temperature, pH, TSS, NO2, CO3ˉ and HCO3=. In contrast, there were not statistically significant differences between the two sampling periods for parameters: depth, dissolved oxygen, Chl-a, NO3, NH4 and PO4. More specifically, the temperature has large seasonal variation, noting very high values in August (28.8ᵒ C – 30.5ᵒ C) and much lower in April (19.0ᵒ C – 20.4ᵒ C). The salinity showed large fluctuations from station to station, especially in August, but also from season to season. Specifically in August, it ranged from 42.73‰ to 54.42‰ and in April fluctuated around 31‰ throughout the lagoon. In addition, the pH values presented statistically significant differences. In August, pH ranged from around 8.23 on average, with respect to the entire lagoon, while in April showed a downward trend, when the average value was around 6.99. With regard to the concentrations of nutrients, ammonium ions were the dominant form of nitrogen, as it presented high values in both sampling periods, while the nitrite ions, although differed statistically significantly, in general, varied in low levels both months. Dissolved oxygen, remained at normal levels in both sampling periods, where the average value was around 8 mg/l. The depth did not change significantly, while the levels of Chl-a, were very high in both time periods. The Spearman analysis showed clear correlations between environmental parameters. Among the most important is, the negative correlation of transparency with season and depth. In addition, significant is the negative correlation of salinity and temperature with season, but also the positive correlation between the first two. Of course, equally important is the positive correlation of pH with salinity and temperature, but also significant are the positive correlations of the TSS with temperature and pH, and Chl-a with transparency. Finally, it is mentioned that there is negative correlation of total phosphorus with season and acid carbonates, and positive correlation with salinity, temperature, pH and TSS. In accordance with the standards set by the Organization for Cooperation and Development (OECD) for stagnant water, the trophic status of the lagoon has been established, on the basis of the average and maximum values of parameters: TP, Chl-a and transparency (Secchi depth) (OECD, 1982). So, on the basis of the average concentration of total phosphorus, it is characterized as hypereutrophic in August and as eutrophic in April. As regards the Chl-a, on the basis of the average and maximum values occurred in August, the lagoon is characterised as eutrophic, while in April it is characterized as eutrophic, based on the average value, but as mesotrophic, on the basis of the maximum value recorded. Finally, with regard to transparency, in accordance with the average and minimum values, the lagoon is characterized as hypereutrophic in both seasons. With the use of Geographical Information Systems (GIS) and with the help of ortho-corrected aerial photographs, acquired during 2007 and 2009, a Land Cover Land Use map was constructed. Subsequently, the categories of Corine Land Cover that came up, matched with the habitat types included in the Annex I of the Directive 92/43/EC, according to the 3rd classification level. Furthermore, the land cover/ land use categories of the new map compared with those of the map that constructed in 2000 for the same area, in order to estimate the changes during the years that have passed. The map, which was constructed in the context of this research, showed that there is a variety of natural habitat types, which gives the area special ecological and aesthetic value. In particular, around the lagoon, we found mediterranean salt meadows (Juncetalia maritimi), reedbeds, mediterranean grassland with high grass and rush (Molinio Holochoenion), southern riparian forest-arcades and scrubs galleries (Nerio-tamaricetea and Securinegion tinctoriae), formations with juniper thickets (Juniperus spp.), embryonic dunes, shifting dunes along the shoreline with Ammophila Arenaria and vegetation of drift lines. In addition, on the Sfaktiria island, in Paleokastro and Petrochori hills respond vegetated sea cliffs of the Mediterranean coasts (with endemic Limonium spp.), Garrigues of eastern Mediterranean and phrygana, while the banks of the river Selas are characterized by oriental plane woods (Platanus orientalis). The spot presence of dune juniper thickets is emphasized (Juniperus spp), which is a priority habitat. In addition, to a large extent, there are agricultural crops with olive groves, urban areas, roads and different kinds of settlements. The ultimate aim of this study is the visual interpretation of the morphology of the bottom of the lagoon and the Land Cover Land Uses, within the limits of the protected area and the further assessment of the ecological status of the lagoon.

Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro / O atual nível das mudanças uso do solo causa impactos nas mudanças ambientais globais. Os processos de mudanças do uso e cobertura do solo são processos complexos e não acontecem ao acaso sobre uma região. Geralmente estas mudanças são determinadas localmente, regionalmente ou globalmente por fatores geográficos, ambientais, sociais, econômicos e políticos interagindo em diversas escalas temporais e espaciais. Parte desta complexidade é capturada por modelos de simulação de mudanças do uso e cobertura do solo. Uma etapa do processo de simulação do modelo CLUE-S é a quantificação da influência local dos impulsores de mudança sobre a probabilidade de ocorrência de uma classe de uso do solo. Esta influência local é obtida ajustando um modelo de regressão logística. Um modelo de regressão espacial é proposto como alternativa para selecionar os impulsores de mudanças. Este modelo incorpora a informação da vizinhança espacial existente nos dados que não é considerada na regressão logística. Baseado em um cenário de tendência linear para a demanda agregada do uso do solo, simulações da mudança do uso do solo para a microbacia do Coxim, Mato Grosso do Sul, foram geradas, comparadas e analisadas usando o modelo CLUE-S sob os enfoques da regressão logística e espacial para o período de 2001 a 2011. Ambos os enfoques apresentaram simulações com muito boa concordância, medidas de acurácia global e Kappa altos, com o uso do solo para o ano de referência de 2004. A diferença entre os enfoques foi observada na distribuição espacial da simulação do uso do solo para o ano 2011, sendo o enfoque da regressão espacial que teve a simulação com menor discrepância com a demanda do uso do solo para esse ano. / Present state of land use changes impacts global environmental changes. Land use and cover changes are complex processes and do not occur at random pattern in an area. In general, they are determined locally, regionally and globally by geographic, environmental, social, economic and political factors interacting at diverse temporal and spatial scales. Part of this complexity can be modeled by land use and cover change simulation models. An important step of simulation process in CLUE-S model is local influence of driving forces over the occurrence of a land use type. This influence is obtained by logistic regression model. A spatial lag regression model is proposed to select driving forces. This model incorporates spatial neighborhood information which is ignored by logistic regression. Based on a lineal trend scenario of land use demand, simulations of land use changes for Coxim microbasin, Mato Grosso do Sul, were generated, analyzed and compared using CLUE-S model under logistic and spatial regression approaches. The period of simulations was 2001-2011. Both approaches revealed elevated concordance, high global accuracy and Kappa index, to land use for 2004 reference year. Differences were observed for spatial distribution for land use simulations for 2011. Spatial lag regression simulation for 2011 reached less discrepancy to land use demand for that year.

Atualmente, uma atividade que se tornou estratégica a nível nacional é o cultivo de espécies oleaginosas para o mercado alimentício e energético, em especial o plantio da palma de óleo (dendê) na região nordeste do estado do Pará, na Amazônia oriental. Esta cultura, assim como tem apresentado benefícios, como fixação do homem no campo, recuperação de áreas degradadas e redução da perda de solo, também tem apresentado riscos de ordem social e ambiental, como possíveis expropriações de terras e aumento do desmatamento e empobrecimento da diversidade ecológica. Mas se conhece pouco ainda dos impactos da expansão dessa cultura sobre o balanço hídrico e processos erosivos. Por isso, este trabalho estimou os impactos da expansão da cultura da palma de óleo na dinâmica de mudança de uso e cobertura da terra, bem como no escoamento superficial e na produção de sedimentos. Para isto, aplicou-se o modelo hidrossedimentológico Soil and Water Assessment Tool (SWAT) e o modelo de dinâmica espacial Conversion of Land Use and its Effects at Small region extent (CLUES) sobre as sub-bacias não monitoradas dos rios Bujaru (SBRB) e Mariquita (SBRM), com calibração do SWAT realizada a partir da técnica de regionalização de vazão por regressão não linear e medições em campo com o molinete hidrométrico. A princípio, as equações de regressão se apresentaram eficientes nas estimativas de dados de vazão para as sub-bacias, fundamentadas no bom resultado da calibração e validação sobre as estações reais. Nas áreas de palma de óleo, o modelo foi capaz de estimar com bom grau de eficiência a evapotranspiração nestas Unidades de Resposta Hidrológica da SBRB (1089,2 mm) e da SBRM (1093,1 mm), em relação a literatura e medidas em torre de monitoramento micrometeorológico. O modelo CLUE-S foi capaz de integralizar as variáveis explanatórias com as demandas agregadas e as características de elasticidade com o objetivo de gerar cenários futuros de uso e cobertura da terra, bem como modelar a palma de óleo nas sub-bacias, identificando as variáveis biofísicas como as principais forçantes de mudança de uso e cobertura da terra. As estimativas de escoamento superficial e produção de sedimentos apontaram para uma redução na SBRB e um aumento na SBRM entre os cenários de 2008, 2013 e o cenário projetado com o CLUE-S para 2023 em especial por razão da grande variação das áreas de vegetação secundária. As áreas de Palma de Óleo tiveram menor escoamento superficial e produção de sedimentos médio mensal do período mais chuvoso em ambas sub-bacias e em todos os cenários em relação as áreas de Agricultura Geral e Pastagem. Os resultados também mostraram a boa capacidade do uso integrado dos modelos SWAT e CLUE-S na geração de dados que contribuem para a análise do impacto ambiental da expansão da palma de óleo na região nordeste do estado do Pará, sendo também importante para o planejamento e gestão ambiental rural em bacias hidrográficas não monitoradas na Amazônia Oriental, pois demonstra a eficiência do método em proporcionar o aumento dos conhecimentos do comportamento hidrológico destas bacias em relação a dinâmica espacial de uso e cobertura do solo. / Nowadays, oilseed production for food and energy has become a strategic activity at national level in Brazil, particularly oil palm crops located in the Northeast of Pará State, Eastern Amazon. Oil palm crops have shown benefits such as keeping farmers on the land, recovering degraded areas and reducing soil loss. Conversely, it may also increase social and environmental risks linked to land tenure instability and land expropriation, deforestation and biodiversity losses. In such context, there is still a lack of knowledge concerning the impacts of such crop on the local water balance and erosion processes. Thus, this research estimated the impacts of increasing oil palm crops on land use and land cover change dynamics, as well as on runoff and soil erosion processes. To do so, it was applied the Soil and Water Assessment Tool (SWAT) and the spatial explicit framework Conversion of Land Use and its Effects at Small region extent (CLUE-S) over two ungauged sub-basins of Bujaru (SBRB) and Mariquita (SBRM) rivers. SWAT calibration was done by the regionalization streamflow method that adopts nonlinear regression and field measurements using a current meter. Initially, regression equations were effective in streamflow data estimation for the subbasins, this was based on effective calibration and validation results upon real stations. In the oil palm crop areas, the SWAT modeling was able to successfully estimate evapotranspiration on both hydrologic response unit of SBRB (1089,2 mm) and SBRM (1093,1mm) when compared to the literature and measures in micrometeorological monitoring tower. When applying CLUE-S model it was capable to integrate explanatory variables to scenario demands and elasticity parameters determining land use/cover change. Such integration allowed modelling oil palm spatial-temporal dynamics in current and future scenario demands within the two sub-basins SBRB and SBRM, as well as the identification of biophysical variables as the core drivers of land use/cover change. Runoff and sediment yield pointed out towards a decline in SBRB and an increase in SBRM in the current scenario between 2008 and 2013, as well as in the future scenario modelled using CLUE-S land use/cover change maps for 2023, particularly because of a large variation in the dynamics of secondary vegetation between the two sub-basins. Oil palm areas had smaller monthly average runoff and sediment yield in the rainiest period in both sub-basins and in current and future scenarios regarding agriculture and pasture areas. The results also show a suitable capability of integration between SWAT and CLUE-S models when generating data that contribute to the analysis of environmental impact of oil palm expansion in the Northeast of Para State. Such contribution is also relevant to the rural environmental planning and management in ungauged river-basins in Eastern Amazon, since the results found here demonstrate the efficiency of the method in providing an improved knowledge of the hydrological behavior of these basins concerning land use and land cover changes dynamics.

Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro / O atual nível das mudanças uso do solo causa impactos nas mudanças ambientais globais. Os processos de mudanças do uso e cobertura do solo são processos complexos e não acontecem ao acaso sobre uma região. Geralmente estas mudanças são determinadas localmente, regionalmente ou globalmente por fatores geográficos, ambientais, sociais, econômicos e políticos interagindo em diversas escalas temporais e espaciais. Parte desta complexidade é capturada por modelos de simulação de mudanças do uso e cobertura do solo. Uma etapa do processo de simulação do modelo CLUE-S é a quantificação da influência local dos impulsores de mudança sobre a probabilidade de ocorrência de uma classe de uso do solo. Esta influência local é obtida ajustando um modelo de regressão logística. Um modelo de regressão espacial é proposto como alternativa para selecionar os impulsores de mudanças. Este modelo incorpora a informação da vizinhança espacial existente nos dados que não é considerada na regressão logística. Baseado em um cenário de tendência linear para a demanda agregada do uso do solo, simulações da mudança do uso do solo para a microbacia do Coxim, Mato Grosso do Sul, foram geradas, comparadas e analisadas usando o modelo CLUE-S sob os enfoques da regressão logística e espacial para o período de 2001 a 2011. Ambos os enfoques apresentaram simulações com muito boa concordância, medidas de acurácia global e Kappa altos, com o uso do solo para o ano de referência de 2004. A diferença entre os enfoques foi observada na distribuição espacial da simulação do uso do solo para o ano 2011, sendo o enfoque da regressão espacial que teve a simulação com menor discrepância com a demanda do uso do solo para esse ano. / Present state of land use changes impacts global environmental changes. Land use and cover changes are complex processes and do not occur at random pattern in an area. In general, they are determined locally, regionally and globally by geographic, environmental, social, economic and political factors interacting at diverse temporal and spatial scales. Part of this complexity can be modeled by land use and cover change simulation models. An important step of simulation process in CLUE-S model is local influence of driving forces over the occurrence of a land use type. This influence is obtained by logistic regression model. A spatial lag regression model is proposed to select driving forces. This model incorporates spatial neighborhood information which is ignored by logistic regression. Based on a lineal trend scenario of land use demand, simulations of land use changes for Coxim microbasin, Mato Grosso do Sul, were generated, analyzed and compared using CLUE-S model under logistic and spatial regression approaches. The period of simulations was 2001-2011. Both approaches revealed elevated concordance, high global accuracy and Kappa index, to land use for 2004 reference year. Differences were observed for spatial distribution for land use simulations for 2011. Spatial lag regression simulation for 2011 reached less discrepancy to land use demand for that year.

Submitted by Geyciane Santos (geyciane_thamires@hotmail.com) on 2015-07-27T15:15:30Z No. of bitstreams: 1 Dissertação - Jorge Alberto Lopes da Costa.pdf: 12254367 bytes, checksum: e92aa3fbce27b2b569e2f3aae45e851d (MD5) / Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2015-07-28T15:14:18Z (GMT) No. of bitstreams: 1 Dissertação - Jorge Alberto Lopes da Costa.pdf: 12254367 bytes, checksum: e92aa3fbce27b2b569e2f3aae45e851d (MD5) / Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2015-07-28T15:19:49Z (GMT) No. of bitstreams: 1 Dissertação - Jorge Alberto Lopes da Costa.pdf: 12254367 bytes, checksum: e92aa3fbce27b2b569e2f3aae45e851d (MD5) / Made available in DSpace on 2015-07-28T15:19:50Z (GMT). No. of bitstreams: 1 Dissertação - Jorge Alberto Lopes da Costa.pdf: 12254367 bytes, checksum: e92aa3fbce27b2b569e2f3aae45e851d (MD5) Previous issue date: 2011-07-07 / Não informada / In recent decades the areas of rainforest in the Amazon region has been heavily impacted by a rapid process of conversion of vegetation cover in other types of use due to human action. In the context of global change, the use of mapping and monitoring land cover and provide information for the analysis and evaluation of environmental impacts due to accelerated changes in the landscape. Therefore, this study evaluated the potential of data from synthetic aperture radar for discriminating use and land cover in the region of Manaus, Amazonas state. We used a multipolarized image from sensor airborne SAR-R99B (L band), with 3 m spatial resolution. Were evaluated the MAXVER-ICM and SVM (Support Vector Machine) classifiers, where in all cases we used the images individually multipolarized amplitude (HH, HV and VV), in pairs (HH and HV), (HV and VV) and (HH and VV) and together (HH, HV and VV). The results were compared using as parameter the Kappa coefficient. The SVM classifier had higher accuracy compared to MAXVER-ICM classifier. The best classifications were obtained for the dual polarization (HH and VV) with MARVER-ICM classifier and (HH, HV and VV) with the SVM classifier both using the images with the filter. The accuracy was highest with SVM for classification and filter images (kappa = 0.7736). Were analyzed the influence of using GAMMA filter performance on the classifiers where it showed that filtered images have provided an increase in the results, on average, about 8%. Thus there was the analysis of the classification results, which found that the best result was provided by the dataset multipolarized (HH, HV and VV) classified by the SVM method. Thus, we concluded that the use of radar imagery in mapping thematic classes use and land cover in tropical regions, can be considered as a viable proposal. / Nas últimas décadas as áreas de floresta tropical na região Amazônica têm sido fortemente impactada por um rápido processo de conversão da cobertura vegetal em outros tipos de uso devido à ação antrópica. No contexto das mudanças globais, os mapeamentos e monitoramentos de uso e cobertura da terra fornecem subsídios para as análises e avaliações dos impactos ambientas em virtude de acelerados processos de mudança na paisagem. Neste contexto, este estudo avaliou o potencial dos dados de radar de abertura sintética para discriminação de uso e cobertura da terra na região de Manaus, estado do Amazonas. Foi utilizada uma imagem multipolarizada do sensor aerotransportado SAR-R99B (banda L), com 3 metros de resolução espacial. Realizaram-se classificações na imagem radar sem filtro e com filtro Gamma 3x3. Avaliou-se o classificador pontual MAXVER-ICM e o SVM (Support Vector Machine), onde em todos os casos utilizou-se das imagens multipolarizadas em amplitude individualmente (HH, HV e VV), aos pares (HH e HV), (HV e VV) e (HH e VV) e em conjunto (HH, HV e VV). Os resultados obtidos foram comparados utilizando-se como parâmetro o coeficiente de concordância Kappa. O classificador SVM apresentou acurácia superior em relação ao classificador MAXVER-ICM. As melhores classificações foram obtidas para a polarização dual HH e VV com o classificador MAXVER-ICM e (HH, HV e VV) com o classificador SVM ambos utilizando as imagens com filtro. A acurácia mais elevada foi para a classificação com SVM e imagens com filtro (kappa = 0,7736). Analisou-se a influência do uso de filtro GAMMA no desempenho dos classificadores onde se contatou que as imagens filtradas proporcionaram um incremento nos resultados, em média, na ordem de 8%. Deste modo realizou-se a análise dos resultados das classificações, onde se constatou que o melhor resultado foi proporcionado pelo conjunto de dados multipolarizados (HH, HV e VV)classificados através do método SVM. Assim, concluiu-se que o uso de imagens de radar no mapeamento de classes temáticas de uso e cobertura da terra, em regiões tropicais, pode ser considerado como uma proposta viável.

As mudanças climáticas globais, regionais e locais representam, na atualidade, uma das maiores preocupações da humanidade. Essas mudanças podem ocorrer tanto a partir de causas naturais quanto a partir de causas antrópicas. As áreas das cidades se caracterizam por apresentarem temperaturas mais elevadas quando comparadas com as áreas rurais. Essa anomalia térmica causa a formação de ilhas de calor e esse fenômeno é reconhecidamente importante em estudos de clima urbano. O objetivo do presente trabalho foi, através de técnicas do sensoriamento remoto, identificar e analisar as ilhas de calor do Município de Piracicaba, SP verificando sua sazonalidade, intensidade e morfologia. Para tanto foi necessário realizar uma análise climática regional e verificar a possibilidade do uso do algoritmo de transformação termal do software IDRISI 3.2 nas imagens do satélite Landsat 7. Para validar o algoritmo foram aplicados dois métodos de transformação de temperatura aparente de superfície. Para a análise climática regional foram estudados os principais elementos climáticos do Município de Piracicaba, SP utilizando-se de dados da Estação Meteorológica da ESALQ/USP entre os anos de 1950 e 2005 e estes foram correlacionados com variáveis da urbanização. Concluiu-se, com os dados encontrados, que os elementos temperatura, precipitação, umidade relativa e evaporação tiveram tendência de aumento no período estudado e todos eles foram classificados como tendências climáticas. A temperatura apresentou tendência de aumento mais acentuada e se correlacionou positivamente com o aumento da urbanização. O algoritmo de transformação do software IDRISI 3.2 para o satélite Landsat 7 foi validado, sendo uma importante ferramenta para a utilização de imagens de melhor resolução. As ilhas de calor mais intensas do verão são representadas por locais com excesso de material de construção civil e pouca ou nenhuma área verde. A diferença entre a área urbana e a área rural da cidade ultrapassou 16°C no verão. O Parque da Rua do Porto é uma ilha de frescor e exerce um “efeito oásis” no centro e nos bairros vizinhos. O perfil das ilhas de calor do Município de Piracicaba não segue aquele delimitado por OKE (1974). As ilhas de calor variam sazonal e espacialmente e a intensidade destas, ao longo das estações do ano, está intimamente relacionada com a sazonalidade da cultura da cana-deaçúcar. As ilhas de calor da época da entressafra são, em média, 3.5°C mais intensas que as da época da safra. Por fim, pode-se afirmar que o uso e a cobertura do solo rural e urbano é um dos grandes agentes modificadores do clima local e regional. / Global, regional and local climate changes represent one of the greatest concerns of humanity. Climate changes can occur through natural or anthropogenic causes. Urban areas usually present higher temperatures than rural areas. This thermal effect is called “heat-island phenomenon” and has great importance on urban climate studies. In the present work, we identified and analyzed the heat-islands from Piracicaba, São Paulo using remote sensing techniques. The heat-islands were analyzed according to its seasonality, intensity and morphology using images from Landsat 7 satellite. We performed analysis on regional climate changes and investigated the use of the IDRISI thermal algorithm to convert Landsat 7 infrared thermal data on land surface temperature (LST). In order to transform Landsat 7 infrared thermal data we used two mathematical methods. Climate changes were analyzed by monitoring the climate elements for long periods of time, enabling the visualization of directional or periodical regional changes. The main climate elements were studied using data from ESALQ meteorological station for the last 55 years (1950-2005). Temperature, relative humidity, evaporation and precipitation variation were found to be correlated with urban growth parameters. The results indicated that temperature, precipitation, relative humidity and evaporation increased during the studied period and have been classified as “climate trends”. The temperature presented the more accentuated trend of increase and was positively correlated with the growing urbanization. The software IDRISI 3.2 can be used with Landsat 7 high resolution images, being a useful and rapid tool to study urban heat islands. The most intense summer heatislands were represented by regions with higher amounts of constructed areas and almost any green area. In fact, during the summer the difference between the urban and rural areas was greater than 10°C. The Rua do Porto park was identified as a fresh-island and showed the “oasis effect” to the Center and neighbouring regions. Heat-islands varied according to the season and space and its intensity is intimately related to the sugar-cane seasonality. During the intercrop period the heat-islands were 3.5°C more intense than during the crop period. In conclusion land cover and land use affect local and regional climates.