This work is focused on wood-pastures and their change trajectory and evolution since 1845 to present time. Research was conducted in selected cadastral areas in region Hradec Králové. In the intoduction of the work are defined pastures, wood-pastures and benefits of this active management. It focuses on changes in land-covers in places of historic pastures, their extinction, creation and continuous exsistence. The main sources of informations are historical maps and the field research.

This work is processed in a form of study on a topic of description of change trajectories in a historical development of woody pastures in selected areas of Moravian Silesian region and Olomouc region, Czech Republic. There were chosen 6 cadastrals of stable cadastral in the study areas. These were studied for the change trajectories between the 19. and 21. century. The analysis were processed in geographic information systems with usage of landscape metric methods. The main goal of this work is description, interpretation and explanation of change trajectories of woody pastures in studied areas. This work also shows the interactions between changes in the landscape and the character of the landscape. The first part discusses definitions and descriptions of woody pastures in general and also brings the newest information of the studied topic. The main part of this work is the study itself. The main benefits of this work lies mainly in describtion of the changes in development of the woody pastures in the studied areas. The information and data obtained may contribute to better understanding of the ways of historical development of woody pastures. Obtained data will be used for future studies on a level of whole Czech republic.

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This thesis is focused on monitoring changes in the trajectory of wood-pasture mainly in changes in management. The main goal of research was land-cover according to the Imperial prints and current orthophoto maps. Area of interest is located in the Stredocesky and the Ustecky region, specifically my intereset was six historic regions in the Midwestern Bohemia, which had the largest landscape heterogeneity. The first part describes the historical development of wood-pastures, their definition and the current status. Information was obtained from the Czech and foreign literature. Another part deals with specific trajectories in the area of interest. Changes in wood-pasture from mid-19th century to the present day were compared by program ArcGIS. In conclusion you can find the evaluation of the results by graphs, tables and verbal evaluation of the likely causes of changes in trajectory.

Orientador: Maria de Lourdes Bueno Trindade Galo / Resumo: Atualmente o volume de dados produzidos tem atingido patamares nunca imaginados, sobretudo em decorrência da multiplicação do número de sensores e da popularização da internet, com a web 2.0 e as redes sociais. Dentre os diversos tipos de sensores existentes, os de imageamento, transportados principalmente por satélites, produzem vastos conjuntos de observações da superfície da Terra. A observação contínua da Terra por satélites possibilita o monitoramento de mudanças no uso e cobertura da terra. Contudo, em diversas pesquisas relacionadas a mudanças no planeta, são utilizados apenas pequenos fragmentos do imenso conjunto de dados existente, essencialmente devido a ainda haver uma lacuna científicatecnológica relacionada aos procedimentos de organização, armazenamento, análise e representação de grandes conjuntos de dados. Portanto, nessa pesquisa foi definida uma estrutura para organização, armazenamento e recuperação de dados espaço-temporais, com o propósito de fornecer suporte a detecção de mudanças na cobertura da terra. Para tanto, foi definida como aplicação a análise de séries temporais de Normalized Difference Vegetation Index (NDVI) derivadas de imagens adquiridas desde 1984 até 2017, pelos sensores Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+) e Operational Land Imager (OLI) para a região de Porto Velho, Rondônia. Foi construída uma série temporal de NDVI para a posição de cada pixel presente na área de estudo. Regiões de referência foram definidas par... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Nowadays the size of datasets has been reaching levels never seen before, mainly due to new sensors and the widespread of the internet, with web 2.0 and social media. Among the various types of sensors, the imaging sensors, mainly carried by satellites, have produced big Earth observations datasets. The regular Earth observation by satellites enable to monitor Land Use/Cover Change (LUCC). However, in many researches related to LUCC, only small parts of the big Earth Observation datasets are normally used, because there is still a scientifictechnological gap related to the organization, storage, analysis and representation of big Earth Observations data. Therefore, in this research was defined a database for the organization, storage and retrieval of spatio-temporal data, to support a LUCC task. Therefore, the time series analysis of Normalized Difference Vegetation Index (NDVI) of images acquired from 1984 to 2017 by Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+) and Operational Land Imager (OLI) for the region of Porto Velho, Rondônia was defined as the application. To the position each of the pixel in the study area was built a NDVI time series. Reference areas were defined to retrieve reference time series that describe the land cover types and the change classes (anthropic and natural). The Fast Dynamic Time Warping (FastDTW) algorithm was used to measure the similarity between the time series, to be classified and reference ones. To find the time series clas... (Complete abstract click electronic access below) / Mestre

With an increased human impact, natural resources are under great pressure.  Deforestation is one effect of this, and the largest threat against biodiversity.. Changes in tropical habitats is a major concern for conservation biologists, due to its high biodiversity and rapid decreased area. Recently, developmental activities and habitat destruction have caused a major decline in the abundance of the terrestrial mega-fauna.This is especially evident in areas with a high human population and a rich mega-fauna as in India. The purpose of this project was to determine the land-use cover change (LUCC) in the area of Karbi Anglong, which lies in the middle of Assam, India. This was done by identifying different vegetation types from satellite images, from the years 1992, 2002 and 2011 using a remote sensing application (ERDAS) and ArcGIS. Interviews in the area werealso operated, and data about how animal use the corridors were used along with registered human-tiger conflicts. The results show that during the first period, a total of 360 km2 of the area changed vegetation type, mostly due to an increase of agricultural areas. The second largest change (79 km2) was an increase of moist mixed deciduous forest which seems to have taken over some of the semi evergreen forest’s previous area. If that is the case it is most likely an effect of selective logging from the local people, who use fire wood as fuel.All in all, there has been a great habitat loss along withfragmentation of the landscape. The conflict data shows that tigers are present between the core areas, and the interviews show that the migrations of other animals are also common.To maintain the high ecological values in Karbi Anglong, it is of great importance to maintain connectivity between core areas and stop further habitat loss and fragmentation.

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