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- Shi, Lei, et al. Show all 5 Authors
- Remote sensing letters 2016 v.7 no.7 pp. 671-680
- Landsat; anthropogenic activities; conservation areas; forest canopy; lighting; models; reflectance; remote sensing; soil; vegetation; vegetation index; China
- ... This letter explores factors affecting the quantification and mapping of forest canopy fractional cover (CFC), and explores causes of CFC change. CFC was quantified using a simple linear mixture model based on the modified soil-adjusted vegetation index (MSAVI) derived from Landsat TM surface reflectance data of Fanjingshan National Nature Reserve (FNNR) in China. Different soil and vegetation end ...