Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review

• Published in: ISPRS journal of photogrammetry and remote sensing Vol. 159; pp. 364 - 377
• Main Authors: Gao, Lin, Wang, Xiaofei, Johnson, Brian Alan, Tian, Qingjiu, Wang, Yu, Verrelst, Jochem, Mu, Xihan, Gu, Xingfa
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.01.2020
• Subjects: algorithms; ecology; forestry; fractional vegetation cover; monitoring; Normalized difference vegetation index; phenotype; Remote sensing; Review; soil; Spectral unmixing; systematic review; Vegetation fractional cover; Normalized difference vegetation index; Review; Vegetation fractional cover; Remote sensing; Spectral unmixing

Green fractional vegetation cover (fc) is an important phenotypic factor in the fields of agriculture, forestry, and ecology. Spatially explicit monitoring of fc via relative vegetation abundance (RA) algorithms, especially those based on scaled maximum/minimum vegetation index (VI) values, has been...