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Recent studies have indicated that conditions of surrounding landscape matrix around a habitat patch can influence avian community in the patch. This fact suggests the importance of the permeability of habitat boundaries for bird individuals.
The environment is deteriorating on a long-term basis in the Ejina River Basin in Inner Mongolia, China as a result of a water shortage. The shortage was caused by increased water use by industries and agriculture after 1992 along the upper part of the Ejina River.
AW3Dsup(TM), the world's most precise global 3D map service, became the world's first five-meter-resolution 3D map covering all global land spaces in April 2016 by using Advanced Land Observing Satellite (ALOS).
In this study, we compared pixel-based image analysis and object-based image analysis (OBIA) as methods of land cover classification of urban areas, using high resolution digital aerial photography.
Here we propose an accurate and robust method for large-area land-use and land-cover (LULC) mapping using multi-temporal optical data. The conventional method for LULC classification usually uses time-series data at regular intervals to consider the seasonality of LULC.
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