Quantitatively Assessing and Attributing Land Use and Land Cover Changes on China's Loess Plateau.
Xiaozheng DuXiang ZhaoShunlin LiangJiacheng ZhaoPeipei XuDonghai WuPublished in: Remote. Sens. (2020)
Keyphrases
- land cover
- remote sensing
- multispectral
- change detection
- remote sensing images
- land cover classification
- satellite images
- remote sensing imagery
- remotely sensed images
- geographic information systems
- satellite data
- supervised classification
- urban growth
- remote sensing data
- land cover change
- environmental variables
- remotely sensed data
- urban areas
- climate change
- high resolution
- landsat tm
- object oriented
- supervised learning
- databases