Extracting Information on Rocky Desertification from Satellite Images: A Comparative Study
Description:
This article uses three common open-access satellite image datasets (Sentinel-2B, Landsat-8, and Gaofen-6) for extracting information on rocky desertification in a typical karst region (Guangnan County, Yunnan) of southwest China, using three machine-learning algorithms implemented in the Python programming language: random forest (RF), bagged decision tree (BDT), and extremely randomized trees (ERT).
Date:
June 26, 2021
Creator:
Pu, Junwei; Zhao, Xiaoqing; Dong, Pinliang; Wang, Qian & Yue, Qifa
Item Type:
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Partner:
UNT College of Liberal Arts & Social Sciences