The Effect of Topographic Correction on Forest Tree Species Classification Accuracy

• Published in: Remote sensing (Basel, Switzerland) Vol. 12; no. 5; p. 787
• Main Authors: Dong, Chao, Zhao, Gengxing, Meng, Yan, Li, Baihong, Peng, Bo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2020
• Subjects: Accuracy; Classification; Dominant species; Earth rotation; Empirical analysis; Forest farming; Forest resources; forest species; gee; Illumination; illumination correction; Image enhancement; Image quality; Landsat; Landsat satellites; Light intensity; Luminous intensity; Mapping; Methods; mount taishan; Plant species; Pretreatment; Rainforests; Reflectance; Remote sensing; Sensors; Species classification; Studies; Topography; Training; Trees; Vegetation; Visual effects; China

Topographic correction can reduce the influences of topographic factors and improve the accuracy of forest tree species classification when using remote-sensing data to investigate forest resources. In this study, the Mount Taishan forest farm is the research area. Based on Landsat 8 OLI data and fi...