By Rainer Sandau, Klaus Briess (auth.), Emilio Chuvieco, Jonathan Li, Xiaojun Yang (eds.)
Global swap reviews are more and more being thought of an essential resource of knowledge to appreciate the Earth atmosphere, particularly within the framework of human-induced weather swap and land use transformation. satellite tv for pc Earth staring at structures offer a special software to observe these adjustments. whereas the variety of purposes and cutting edge innovations is continually expanding, this ebook offers a precis of key case stories the place satellite tv for pc facts provide severe details to appreciate the explanations and results of these environmental alterations, minimizing their adverse affects. This ebook might be of curiosity to researchers and practitioners within the box of distant sensing, geographical info, meteorology and environmental sciences. additionally scientists and graduate as much as post-graduate point scholars in environmental technological know-how will locate precious details during this book.
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Additional resources for Advances in Earth Observation of Global Change
Springer, Berlin Leitao AB, Miller J, Ahern J, McGarigal K (2006) Measuring landscapes: a planner’s handbook. Island Press, Washington, DC Li B and Zhou Q (2009) Accuracy assessment on multi-temporal land cover change detection using a trajectory error matrix. Int J Remote Sens 30(5):1283–1296 Liu H, Zhou Q (2005) Developing urban growth predictions from spatial indicators based on multitemporal images. Comput Environ Urban Syst 29:580–594 McGarigal K, Cushman SA, Neel MC, Ene E (2002) FRAGSTATS: spatial pattern analysis program for categorical paps.
The reference data do not include some isolated administrative units in this study area, 22 Q. Zhou and B. 3 Source of reference data: Statistics Bureau of Xinjiang Uygur Autonomous Region (1995, 2001, 2006, 2007, 2008). so that some differences in the statistics between image and reference are expected. 3%. 2% comparing with the former year of 2007. 1 shows the result of land cover change trajectories. Since the land cover changes are mainly caused by increased farmland in the past decade with the Fig.
Traditionally, the global change research community has produced three kinds of spatial land use change models: empirical estimation models, dynamic simulation models and rule-base simulation models (He and Lo, 2007). Dynamic simulation models and empirical estimation models have been used to model land use changes. Rule-based simulation models are most suitable for incorporating spatial interaction effects and handling temporal dynamics. However, they focus on simulation of spatial pattern rather than on interpretation or understanding of spatio-temporal processes of urban growth.