Remotely sensed (RS) imagery is increasingly being adopted in investigations and applications outside of traditional land-use land-cover change (LUCC) studies. This is due to the increased awareness by governments, NGOs and Industry that earth observation data provide important and useful spatial and temporal information that can be used to make better decisions, design policies and address pro...

We used the conversion of land use and its effects (CLUE-s) model to simulate scenarios of land-cover change in Montane mainland southeast Asia (MMSEA), a region in the midst of transformation due to rapid intensification of agriculture and expansion of regional trade markets. Simulated changes affected approximately 10 % of the MMSEA landscape between 2001 and 2025 and 16 % between 2001 and 20...

Historical aerial images are important to retain past ground surface information. The land-use land-cover change in the past can be identified using historical aerial images. Automatic historical image registration and stitching is essential because the historical image pose information was usually lost. In this study, the Scale Invariant Feature Transform (SIFT) algorithm was used for feature ...

Remote sensing data that consists of satellite observations of the land surface, biosphere, solid Earth, atmosphere, and oceans, combined with historical climate records and predictions from ecosystem models, offers new opportunities for understanding how the Earth is changing, for determining what factors cause these changes, and for predicting future changes. Data mining and knowledge discove...

Understanding landscape conversion is vital for assessing the impacts of ecological and anthropogenic disturbances at regional and global scales. Since rangelands cover nearly half of the global land surface, and because a large part of rangelands is located in semi-arid ecosystems, they serve as critical land cover types for determining regional biodiversity, global biogeochemical cycles, and ...

The study of land cover change is an important problem in the Earth science domain because of its impacts on local climate, radiation balance, biogeochemistry, hydrology, and the diversity and abundance of terrestrial species. Data mining and knowledge discovery techniques can aid this effort by efficiently discovering patterns that capture complex interactions between ocean temperature, air pr...

Statewide land cover change detection analysis provides a useful tool for conservation planning and environmental monitoring and addresses issues of habitat fragmentation and urban sprawl. Furthermore, using historical and recent land cover data offers two perspectives on landscape dynamics. To this end, the first alliance level land cover map of Kansas recently completed by the KARS Program wa...

Schulz, J. J. (corresponding author, [email protected]): Department of Earth and Environmental Science, University of Potsdam, Karl-Liebknecht Str. 24-25, D–14476 Potsdam, Germany Cayuela, L. ([email protected]): Área de Biodiversidad y Conservación, Universidad Rey Juan Carlos, c/Tulipán s/n, E–28933 Móstoles, Madrid, Spain Rey-Benayas, J. M. ([email protected]): Departamento de...

Introduction Conclusions References

Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, wit...