Paper
31 January 1995 Evaluation of green vegetation fractional cover in Mediterranean ecosystems from spectral unmixing of Landsat TM and AVIRIS data
Bernard Lacaze, Joachim Hill, Wolfgang Mehl
Author Affiliations +
Abstract
Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIRIS data for estimating green vegetation fractional cover in a test area of Southern France, using reference endmember spectra taken from a library of ground high spectral resolution measurements of vegetation elements and various soil and rock surfaces. Results are expressed as relative contributions of shade, green vegetation and background on a pixel by pixel basis. Results of SMA appear similar to the calculation of a simple spectral vegetation index (NDVI), but can give more interpretable results in terms of scaled fractions of green vegetation or soil and rock backgrounds.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bernard Lacaze, Joachim Hill, and Wolfgang Mehl "Evaluation of green vegetation fractional cover in Mediterranean ecosystems from spectral unmixing of Landsat TM and AVIRIS data", Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); https://doi.org/10.1117/12.200774
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Vegetation

Shape memory alloys

Earth observing sensors

Landsat

Soil science

Data modeling

Ecosystems

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