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	Hyperspectral Monitoring Driven by Machine Learning Methods for Grassland Above-Ground Biomass 期刊论文 Remote Sensing, 2022, 卷号: 14, 期号: 9 作者: Huang, Weiye; Li, Wenlong; Xu, Jing; Ma, Xuanlong; Li, Changhui 收藏 \| 浏览/下载：79/0 \| 提交时间：2022/05/19 Adaptive boosting Biomass Data mining Feature extraction Remote sensing Aboveground biomass Alpine grasslands Features selection Gaussian process regression Growing season HyperSpectral Interpretability Machine learning methods Machine learning models Support vectors machine
	Land Use/Land Cover Mapping Based on GEE for the Monitoring of Changes in Ecosystem Types in the Upper Yellow River Basin over the Tibetan Plateau 期刊论文 Remote Sensing, 2022, 卷号: 14, 期号: 21 作者: Feng, Senyao; Li, Wenlong; Xu, Jing; Liang, Tiangang; Ma, Xuanlong 收藏 \| 浏览/下载：73/0 \| 提交时间：2022/12/21 Decision trees Engines Forestry Land use Machine learning Mapping Rivers Watersheds Wetlands Ecosystem type Google earth engine Google earths Land cover mapping Land use/land cover Land use/land cover mapping Machine-learning Sentinel-2 Upper yellow river basin Upper yellow rivers Yellow River basin

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