By Rainer Sandau, Klaus Briess (auth.), Emilio Chuvieco, Jonathan Li, Xiaojun Yang (eds.)
ISBN-10: 9048190843
ISBN-13: 9789048190843
Global switch experiences are more and more being thought of an important resource of data to appreciate the Earth surroundings, particularly within the framework of human-induced weather switch and land use transformation. satellite tv for pc Earth staring at platforms offer a different instrument to watch these alterations. whereas the diversity of purposes and cutting edge options is continually expanding, this publication offers a precis of key case stories the place satellite tv for pc info provide severe details to appreciate the factors and results of these environmental alterations, minimizing their detrimental affects. This e-book may be of curiosity to researchers and practitioners within the box of distant sensing, geographical details, meteorology and environmental sciences. additionally scientists and graduate as much as post-graduate point scholars in environmental technology will locate necessary info during this book.
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Extra resources for Advances in Earth Observation of Global Change
Example text
3, the decreasing trend of NLSI during the whole study period illustrates an aggregation pattern in farmland extension that small patches are combined into big one. The change of AWFDI significantly reflects the change of water supply. The extension mode of farmland is a scattering mode in the fringe of older farmland when water supply is rich. However, once being lack of water like the situation in 2008, cultivated farmland is mainly concentrated along the river with a less complex edge, which shows a lower value of AWFDI.
Empirical estimation models use statistical techniques to model the relationships between land use changes and the drivers based on historic data. , 2001; Schneider and Pontius, 2001), agriculture (Serneels and Lambin, 2001), and urban growth modeling (Allen and Lu, 2003; Landis and Zhang, 1998; Wu and Yeh, 1997). In many cases, these models fit spatial processes and land use change outcome reasonably well (Irwin and Geoghegan, 2001). Allen and Lu (2003) also highlighted use of statistical methods, mainly LR, to identify which variables best represent urban change process properly.
2009). Empirical estimation models use statistical techniques to model the relationships between land use changes and the drivers based on historic data. , 2001; Schneider and Pontius, 2001), agriculture (Serneels and Lambin, 2001), and urban growth modeling (Allen and Lu, 2003; Landis and Zhang, 1998; Wu and Yeh, 1997). In many cases, these models fit spatial processes and land use change outcome reasonably well (Irwin and Geoghegan, 2001). Allen and Lu (2003) also highlighted use of statistical methods, mainly LR, to identify which variables best represent urban change process properly.
Advances in Earth Observation of Global Change by Rainer Sandau, Klaus Briess (auth.), Emilio Chuvieco, Jonathan Li, Xiaojun Yang (eds.)
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