The growing Landsat data archive represents more than four decades of continuous Earth observation. Landsat's role in scientific analysis has increased dramatically in recent years as a result of the open-access policy of the U.S. Geological Survey (USGS). However, this rich data record suffers from relatively low temporal resolution due to the 16-day revisit period of each Landsat satellite. To estimate Landsat images at other points in time, researchers have proposed data-fusion approaches that combine existing Landsat data with images from other sensors, such as MODIS (Moderate Resolution Imaging Spectroradiometer) from the Terra and Aqua satellites. MODIS provides daily revisits, however, with a spatial resolution that is significantly lower than that of Landsat. Fusion of Landsat and MODIS is challenging because of differences in their spatial resolution, band designations, swath width, viewing angle and the noise level. Fusion is even more challenging for heterogeneous landscapes. In the first part of our work, the multiresolution analysis offered by the wavelet transform was explored as a suitable environment for Landsat and MODIS fusion. Our proposed Wavelet-based Spatiotemporal Adaptive Reflectance Fusion Model (WSTARFM) is the first model to merge Landsat and MODIS successfully. It handles the heterogeneity of the landscapes more effectively than the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) does. The system has been tested on simulated data and on actual data of two study areas in North Carolina. For a challenging heterogeneous study area near Greensboro, North Carolina, WSTARFM produced results with median R-squared values of 0.98 and 0.95 for the near-infrared band over deciduous forests and developed areas, respectively. Those results were obtained by withholding an actual Landsat image, and comparing it with a predicted version of the same image. These values represent an improvement over results obtained using the well-known STARFM technique. Similar improvements were obtained for the red band. For the second (homogeneous) study area, WSTARFM produced comparable prediction results to STARFM. In the second part of our work, Landsat-MODIS fusion has been explored from the temporal perspective. The fusion is performed on the Landsat and MODIS per-pixel time series. A new Multisensor Adaptive Time Series Fitting Model (MATSFM) is proposed. MATSFM is the first model to use mapped MODIS values to guide the fitting applied to the sparse Landsat time series. MATSFM produced results with median R-squared of 0.98 over the NDVI images of the first heterogeneous study area compared to 0.97 produced by STARFM. For the second study area, MATSFM also produced better prediction accuracy than STARFM. / Ph. D.

O presente trabalho avaliou diferentes parâmetros espaciais e temporais da evapotranspiração real (ETr) para três coberturas vegetais diferentes (cana-de-açúcar, floresta plantada e mata nativa) utilizando o Modelo de Duas Fontes (TSM) em ambiente SIG. Para a utilização do referido modelo, foi realizada uma adaptação do TSM aos padrões brasileiros e uma validação da estimativa de ETr com dados de balanços de chuva-vazão obtidos à campo em três bacias representativas na região de Corumbataí/SP, para dois anos hidrológicos completos. Desenvolveu-se também uma nova metodologia de integralização dos dados de ETr horários em mensais e anuais. Posteriormente, obteve-se a ETr para dois anos de estudo para áreas com cana-de-açúcar, floresta plantada e mata nativa. Avaliou-se como a evapotranspiração variou temporalmente e espacialmente, com a utilização dos parâmetros: altitude, declividade, faces de exposição do terreno, tipos de solo e biomas. Temporalmente, analisando os resultados mensais, sazonais e anuais, a cana-de-açúcar consumiu menos água do que a floresta plantada e a mata nativa. Para a altitude, concluiu-se que, quanto maior a altitude, maior a ETr anual. Quanto à declividade do terreno, concluiu-se que, quanto maior a declividade, maior foi a ETr anual. Quanto às faces de exposição do terreno, a face plana foi a que apresentou menor ETr. Para a mata nativa, as faces não apresentaram diferença; já para a floresta plantada, as faces norte e oeste consumiram mais água, enquanto para a cana-de-açúcar os maiores valores de ETr ocorreram na face oeste. Para os solos, as três coberturas vegetais apresentaram maior ETr em solos diferentes; porém o Neossolo Litólico apresentou altos consumos de água comumente entre todas as coberturas. Por fim, para a cultura da cana-de-açúcar, não foram obtidas diferenças significativas na estimativa de ET real anual quando plantada em áreas de Cerrado ou Mata Atlântica. Já para floresta plantada e mata nativa, houve variações significativas no consumo de água dessas coberturas, em áreas com esses biomas. / This study evaluated different spatial and temporal parameters of actual evapotranspiration (ETr) for three different vegetation cover (sugarcane, planted forest and native forest) using the Two Source Model (TSM) in a GIS environment. For the use of this model, was made an adaptation of TSM to Brazilian standards patterns and was made a validation of the estimated ETr with a rain-flow balance data obtained on the field in three representative watersheds in the region of Corumbataí/SP, Brazil, for two full years hydrological. It was developed a new methodology to convert hourly ETr to monthly and annually data. Later, was obtained the ETr for two years of study to areas with sugarcane, planted and natural forests and was evaluated how this evapotranspiration behaved temporally and spatially, using the parameters: altitude, slope, exposure faces of the terrain, soil types and biomes. Temporally, analyzing the monthly, seasonal and annual results, the sugarcane consumed less water than the planted and natural forests. For altitude, it was found that the higher the altitude, the greater the annual ETr. For the slope aspect, it was concluded that the higher the slope, the greater the annual ETr. As for the land exposure faces, the flat face showed the lowest ETr. For the native forest, the faces showed no difference. For the planted forest, north and west sides consumed more water, while for sugarcane higher ETr values were on the west face. For soils, the three vegetation covers showed higher ETr in different soils, but the Neossolo Litólico showed high water consumption common for all. Finally, for the sugarcane, were not obtained significant differences for the annual actual ET when planted in areas of Cerrado and Atlantic Forest. As for planted and natural forests, there were significant variations in water consumption by these covers on the area of the studied biomes.

Este trabalho objetivou pesquisar a relação da temperatura de superfície (LST) e do estoque de carbono no solo (ECS) com os diferentes tipos de uso e cobertura do solo (UCT). Sabe-se que tais parâmetros podem ser influenciados pelas atividades antrópicas, podendo afetar a integridade do agroecossistema (IAG) da bacia do Rio Corumbataí (BRC). Entende-se por IAG, a capacidade de manutenção de suas propriedades \"primitivas\" e prestação de serviços ecossistêmicos à sociedade. Para alcançar o objetivo proposto, a dinâmica de UCT foi mapeada, a partir da classificação de imagens do satélite Landsat e fotografias aéreas, dos anos de 1962 a 2011. A LST foi obtida por técnicas de sensoriamento remoto, utilizando a banda termal do sensor TM (Thematic Mapper) do Landsat, para os anos de 1985, 1990, 1995, 1999, 2002 e 2011. A análise do ECS foi feita a partir da coleta de amostras de solo, em diferentes UCT: mata nativa, cana-de-açúcar, pastagem e fruticultura, na profundidade de 0-10 e 10-20 cm. Os resultados indicaram que a LST e os ECS da área de estudo são influenciados pelo UCT e pelo manejo das culturas. Verificou-se ainda que algumas políticas agrícolas, adotadas no período de 1962 a 2011, influenciaram a dinâmica de UCT e, consequentemente, a capacidade do agroecossistema da BRC no fornecimento de serviços ecossistêmicos e também geraram custos ambientais. A abordagem interdisciplinar adotada neste trabalho, com o emprego das geotecnologias, mostrou ser capaz de avaliar a integridade do agroecossistema da BRC, podendo subsidiar o planejamento de uso do solo visando a maximizar a relação benefício/custo das atividades antrópicas, considerando a LST e o ECS. Tal abordagem pode ser aplicada em diferentes áreas do conhecimento para a análise da sustentabilidade e integridade ambiental dos agroecossistemas. / In this work, the aim was search the relationship between both surface temperature (LST) and soil organic carbon (SOC) with several sort of land use cover (LUC). We know such a parameters can be influenced by anthropic activities, it can affects the Corumbataí River basin (CRB) agro ecosystem integrity (AGI). AGI means, the capacity of both maintenance of its \"primitive\" properties and supplies public ecosystem service. Reaching the proposed goal, the LUC dynamic was mapping through both Landsat-TM image classification and aerial photography from 1962 to 2011. The LST has been obtained by remote sensing technique through Lansat-TM thermal band to the years 1985, 1990, 1995, 1999, 2002 and 2011. The ECS analyze was carried out by soil sample collected in different type of LUC: forest native, sugar cane, pasture and orchard, in the 0-10 and 10-20 cm depths. The results have indicated both the BRC of the LST and SOC are influenced by both together LUC and crop tillage. Furthermore, some agricultural policy adopted during from 1962 to 2011 influenced the LUC dynamic, thus the CRB agro ecosystem capacity of supply agro ecosystem services as well as provided environmental cost. The interdisciplinary approach employed, with the use of geotechnologies, has shown to be able to assessment the CRB agro ecosystem integrity, it can supports the LUC planning in order to maximize the benefit/cost ratio anthropic activities, considering both the LST and ECS. Such an approach can be applied in several knowledge areas to evaluation of sustainability and agro ecosystem environmental integrity.

Submitted by NATÁLIA SOARES DA SILVA null (nataliasoasilva@hotmail.com) on 2017-01-25T15:52:11Z No. of bitstreams: 1 Natalia Tese com ficha.pdf: 3382712 bytes, checksum: bec77c34de08a6140f88f32e659fd0e8 (MD5) / Approved for entry into archive by LUIZA DE MENEZES ROMANETTO (luizamenezes@reitoria.unesp.br) on 2017-01-27T12:21:22Z (GMT) No. of bitstreams: 1 silva_ns_dr_bot.pdf: 3382712 bytes, checksum: bec77c34de08a6140f88f32e659fd0e8 (MD5) / Made available in DSpace on 2017-01-27T12:21:22Z (GMT). No. of bitstreams: 1 silva_ns_dr_bot.pdf: 3382712 bytes, checksum: bec77c34de08a6140f88f32e659fd0e8 (MD5) Previous issue date: 2016-11-25 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / O sensoriamento remoto tem sido uma ferramenta bastante utilizada em diferentes campos das ciências e não seria diferente na agricultura sendo um dos principais motivos de sua utilização a facilidade para a obtenção de dados dos sensores, já que muitos são disponibilizados gratuitamente em plataformas na internet. É indiscutível que a agricultura é um dos maiores consumidores dos recursos hídricos e que seu uso quando de forma adequada pode gerir excelentes resultados na produção dos cultivos agrícolas. A hipótese do estudo é que técnicas de sensoriamento remoto, aplicadas na área de interesse, podem se transformar em ferramenta para a gestão dos recursos hídricos dedicados à agricultura irrigada com cobertura de palha no solo. Nesse contexto o objetivo principal da pesquisa foi monitorar através do sensoriamento remoto o desenvolvimento do feijoeiro conduzido em sistema de Pivô Central cultivado com cobertura de palha no solo, na região de Paranapanema-SP, determinando quais parâmetros poderão ser utilizados para a gestão da irrigação. O estudo foi desenvolvido através da análise de imagens Landsat e Terra para obtenção do índice de vegetação por diferença normalizada (NDVI) por sensoriamento remoto e suas relações com outras variáveis (umidade do solo, índice de área foliar e evapotranspiração) a fim de parametrizar o desenvolvimento do feijoeiro, além da aplicação do modelo de índice de umidade do solo (IUS). Observou-se uma similaridade no comportamento do NDVI tanto nas imagens obtidas pelo satélite Landsat quanto Terra, onde no início do cultivo o NDVI é baixo devido à baixa porcentagem de cobertura verde e à medida que a cultura se desenvolve esses valores aumentam com o acréscimo da cobertura vegetal onde o ponto máximo é verificado na fase de enchimento do grão e decréscimo na maturação. Com a determinação de um índice (IUS) por sensoriamento remoto infere-se a umidade do solo e é possível monitorar as condições do feijoeiro durante o período de cultivo. / Remote sensing has been a tool widely used in different fields of science and it would not be different for agriculture. It is ease to obtaining data from sensors, since many are available on platforms on the internet. There is no doubt that agriculture is one of the largest consumers of water resources, and when properly manage, excellent results are obtained from agricultural crops production. The main objective of the study was to monitor through remote sensing the development of bean conducted under Central Pivot irrigation, cultivated with no-till and direct seedling, in the region of Paranapanema-SP. Additionally determining which parameters may be used for the irrigation management. The study hypothesis was that remote sensing techniques, applied in the area of interest, can become a tool for the management of water resources devoted to irrigated agriculture with no-till and direct seedling. The study was developed through the analysis of Landsat and Terra images, obtaining the normalized difference vegetation index (NDVI) by remote sensing and its relations with other variables (soil moisture, leaf area index and evapotranspiration) in order to the parametrization of the development of common bean, as well as the application of the model index of soil moisture (IUS). There were similarities in the behavior of NDVI for images from Landsat satellite and Terra. At the beginning of bean development NDVI was low due to the low percentage of cover; as the crop develops these values increased with the development of vegetation cover. The maximum value of NDVI was obtained during the filling phase of the grain in the pods and a decrease in maturation. With the determination of the IUS by remote sensing it can be infers soil water content.

O presente trabalho avaliou diferentes parâmetros espaciais e temporais da evapotranspiração real (ETr) para três coberturas vegetais diferentes (cana-de-açúcar, floresta plantada e mata nativa) utilizando o Modelo de Duas Fontes (TSM) em ambiente SIG. Para a utilização do referido modelo, foi realizada uma adaptação do TSM aos padrões brasileiros e uma validação da estimativa de ETr com dados de balanços de chuva-vazão obtidos à campo em três bacias representativas na região de Corumbataí/SP, para dois anos hidrológicos completos. Desenvolveu-se também uma nova metodologia de integralização dos dados de ETr horários em mensais e anuais. Posteriormente, obteve-se a ETr para dois anos de estudo para áreas com cana-de-açúcar, floresta plantada e mata nativa. Avaliou-se como a evapotranspiração variou temporalmente e espacialmente, com a utilização dos parâmetros: altitude, declividade, faces de exposição do terreno, tipos de solo e biomas. Temporalmente, analisando os resultados mensais, sazonais e anuais, a cana-de-açúcar consumiu menos água do que a floresta plantada e a mata nativa. Para a altitude, concluiu-se que, quanto maior a altitude, maior a ETr anual. Quanto à declividade do terreno, concluiu-se que, quanto maior a declividade, maior foi a ETr anual. Quanto às faces de exposição do terreno, a face plana foi a que apresentou menor ETr. Para a mata nativa, as faces não apresentaram diferença; já para a floresta plantada, as faces norte e oeste consumiram mais água, enquanto para a cana-de-açúcar os maiores valores de ETr ocorreram na face oeste. Para os solos, as três coberturas vegetais apresentaram maior ETr em solos diferentes; porém o Neossolo Litólico apresentou altos consumos de água comumente entre todas as coberturas. Por fim, para a cultura da cana-de-açúcar, não foram obtidas diferenças significativas na estimativa de ET real anual quando plantada em áreas de Cerrado ou Mata Atlântica. Já para floresta plantada e mata nativa, houve variações significativas no consumo de água dessas coberturas, em áreas com esses biomas. / This study evaluated different spatial and temporal parameters of actual evapotranspiration (ETr) for three different vegetation cover (sugarcane, planted forest and native forest) using the Two Source Model (TSM) in a GIS environment. For the use of this model, was made an adaptation of TSM to Brazilian standards patterns and was made a validation of the estimated ETr with a rain-flow balance data obtained on the field in three representative watersheds in the region of Corumbataí/SP, Brazil, for two full years hydrological. It was developed a new methodology to convert hourly ETr to monthly and annually data. Later, was obtained the ETr for two years of study to areas with sugarcane, planted and natural forests and was evaluated how this evapotranspiration behaved temporally and spatially, using the parameters: altitude, slope, exposure faces of the terrain, soil types and biomes. Temporally, analyzing the monthly, seasonal and annual results, the sugarcane consumed less water than the planted and natural forests. For altitude, it was found that the higher the altitude, the greater the annual ETr. For the slope aspect, it was concluded that the higher the slope, the greater the annual ETr. As for the land exposure faces, the flat face showed the lowest ETr. For the native forest, the faces showed no difference. For the planted forest, north and west sides consumed more water, while for sugarcane higher ETr values were on the west face. For soils, the three vegetation covers showed higher ETr in different soils, but the Neossolo Litólico showed high water consumption common for all. Finally, for the sugarcane, were not obtained significant differences for the annual actual ET when planted in areas of Cerrado and Atlantic Forest. As for planted and natural forests, there were significant variations in water consumption by these covers on the area of the studied biomes.

Este trabalho objetivou pesquisar a relação da temperatura de superfície (LST) e do estoque de carbono no solo (ECS) com os diferentes tipos de uso e cobertura do solo (UCT). Sabe-se que tais parâmetros podem ser influenciados pelas atividades antrópicas, podendo afetar a integridade do agroecossistema (IAG) da bacia do Rio Corumbataí (BRC). Entende-se por IAG, a capacidade de manutenção de suas propriedades \"primitivas\" e prestação de serviços ecossistêmicos à sociedade. Para alcançar o objetivo proposto, a dinâmica de UCT foi mapeada, a partir da classificação de imagens do satélite Landsat e fotografias aéreas, dos anos de 1962 a 2011. A LST foi obtida por técnicas de sensoriamento remoto, utilizando a banda termal do sensor TM (Thematic Mapper) do Landsat, para os anos de 1985, 1990, 1995, 1999, 2002 e 2011. A análise do ECS foi feita a partir da coleta de amostras de solo, em diferentes UCT: mata nativa, cana-de-açúcar, pastagem e fruticultura, na profundidade de 0-10 e 10-20 cm. Os resultados indicaram que a LST e os ECS da área de estudo são influenciados pelo UCT e pelo manejo das culturas. Verificou-se ainda que algumas políticas agrícolas, adotadas no período de 1962 a 2011, influenciaram a dinâmica de UCT e, consequentemente, a capacidade do agroecossistema da BRC no fornecimento de serviços ecossistêmicos e também geraram custos ambientais. A abordagem interdisciplinar adotada neste trabalho, com o emprego das geotecnologias, mostrou ser capaz de avaliar a integridade do agroecossistema da BRC, podendo subsidiar o planejamento de uso do solo visando a maximizar a relação benefício/custo das atividades antrópicas, considerando a LST e o ECS. Tal abordagem pode ser aplicada em diferentes áreas do conhecimento para a análise da sustentabilidade e integridade ambiental dos agroecossistemas. / In this work, the aim was search the relationship between both surface temperature (LST) and soil organic carbon (SOC) with several sort of land use cover (LUC). We know such a parameters can be influenced by anthropic activities, it can affects the Corumbataí River basin (CRB) agro ecosystem integrity (AGI). AGI means, the capacity of both maintenance of its \"primitive\" properties and supplies public ecosystem service. Reaching the proposed goal, the LUC dynamic was mapping through both Landsat-TM image classification and aerial photography from 1962 to 2011. The LST has been obtained by remote sensing technique through Lansat-TM thermal band to the years 1985, 1990, 1995, 1999, 2002 and 2011. The ECS analyze was carried out by soil sample collected in different type of LUC: forest native, sugar cane, pasture and orchard, in the 0-10 and 10-20 cm depths. The results have indicated both the BRC of the LST and SOC are influenced by both together LUC and crop tillage. Furthermore, some agricultural policy adopted during from 1962 to 2011 influenced the LUC dynamic, thus the CRB agro ecosystem capacity of supply agro ecosystem services as well as provided environmental cost. The interdisciplinary approach employed, with the use of geotechnologies, has shown to be able to assessment the CRB agro ecosystem integrity, it can supports the LUC planning in order to maximize the benefit/cost ratio anthropic activities, considering both the LST and ECS. Such an approach can be applied in several knowledge areas to evaluation of sustainability and agro ecosystem environmental integrity.

No description available.

No description available.

Inland lakes are important resources to humans, while the eutrophication effect caused by an overload of nutrients is a significant problem. This study focuses on utilizing the satellite remote sensing to monitor the water quality of Lake Simcoe, Ontario, Canada, which has been suffering from the overload of Total Phosphorus (TP) and therefore eutrophication for decades. The data employed in this study includes 22 cloud-free Landsat 5 TM images, as well as the nearly simultaneous in-situ data from 15 observation stations on the lake. Compared to the generally used model, an improved model is developed in this study to estimate the Secchi Disk Transparency (SDT), a parameter for water clarity measurements, using the TM images. Models based on different band combinations are compared to estimate the chlorophyll-a (chl-a) concentration. The results of these estimations are validated using the in-situ data by the linear regression analysis, and the accuracies are measured by the correlation coefficients R2. The results reveal that the improved SDT model provides higher prediction accuracies than the general model when applied to 68.2% (15 out of 22) of the images. The majority of the SDT predictions show high R2, whereas some of the estimated chl-a concentrations have weak relationships with the in-situ data. The possible reasons for this are the geo-location of stations, as well as the influences of chl-a and Dissolved Organic Carbon (DOC). The resultant concentration maps indicate that the eutrophic water is normally distributed at the near-shore areas and the northeastern part of Lake Simcoe. In addition, the southern Cook’s Bay has always been suffering from an extremely serious water quality problem even until now. Meanwhile, the water quality of the southwestern part of Lake Simcoe is much better than the other parts of this lake. The results also show that the water quality of Lake Simcoe was at its worst in August and September for the past 22 years while it was much better in the other sampling seasons. According to the trend of the monthly averaged SDT, on an overall scale, the SDT dropped from 1980 to 1982 and then kept relatively stable until the fall of 1992, followed by a gradual increase until 2000, and then stayed constant until the summer of 2008. The chl-a concentration reveals an inverse trend, i.e., the higher the chl-a concentration, the more turbid the water.

Inland lakes are important resources to humans, while the eutrophication effect caused by an overload of nutrients is a significant problem. This study focuses on utilizing the satellite remote sensing to monitor the water quality of Lake Simcoe, Ontario, Canada, which has been suffering from the overload of Total Phosphorus (TP) and therefore eutrophication for decades. The data employed in this study includes 22 cloud-free Landsat 5 TM images, as well as the nearly simultaneous in-situ data from 15 observation stations on the lake. Compared to the generally used model, an improved model is developed in this study to estimate the Secchi Disk Transparency (SDT), a parameter for water clarity measurements, using the TM images. Models based on different band combinations are compared to estimate the chlorophyll-a (chl-a) concentration. The results of these estimations are validated using the in-situ data by the linear regression analysis, and the accuracies are measured by the correlation coefficients R2. The results reveal that the improved SDT model provides higher prediction accuracies than the general model when applied to 68.2% (15 out of 22) of the images. The majority of the SDT predictions show high R2, whereas some of the estimated chl-a concentrations have weak relationships with the in-situ data. The possible reasons for this are the geo-location of stations, as well as the influences of chl-a and Dissolved Organic Carbon (DOC). The resultant concentration maps indicate that the eutrophic water is normally distributed at the near-shore areas and the northeastern part of Lake Simcoe. In addition, the southern Cook’s Bay has always been suffering from an extremely serious water quality problem even until now. Meanwhile, the water quality of the southwestern part of Lake Simcoe is much better than the other parts of this lake. The results also show that the water quality of Lake Simcoe was at its worst in August and September for the past 22 years while it was much better in the other sampling seasons. According to the trend of the monthly averaged SDT, on an overall scale, the SDT dropped from 1980 to 1982 and then kept relatively stable until the fall of 1992, followed by a gradual increase until 2000, and then stayed constant until the summer of 2008. The chl-a concentration reveals an inverse trend, i.e., the higher the chl-a concentration, the more turbid the water.