Forest Type Identification with Random Forest Using Sentinel-1A, Sentinel-2A, Multi-Temporal Landsat-8 and DEM Data

• Published in: Remote sensing (Basel, Switzerland) Vol. 10; no. 6; p. 946
• Main Authors: Liu, Yanan, Gong, Weishu, Hu, Xiangyun, Gong, Jianya
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.06.2018
• Subjects: DEM; forest types; Landsat-8; multi-source; random forest; Sentinel imagery

Carbon sink estimation and ecological assessment of forests require accurate forest type mapping. The traditional survey method is time consuming and labor intensive, and the remote sensing method with high-resolution, multi-spectral commercial satellite images has high cost and low availability. In...