Desert Vegetation FVC Analysis

Authors: Nickolas Orbash*, , Jack Livingston, Slippery Rock University, Xianfeng Chen, Slippery Rock University
Topics: Remote Sensing
Keywords: fvc, climate change, Manasi Rivershed, China, linear spectral mixing, endmembers
Session Type: Paper
Day: 4/11/2018
Start / End Time: 8:00 AM / 9:40 AM
Room: Lafayette, Marriott, River Tower Elevators, 41st Floor
Presentation File: No File Uploaded


We examined fractional vegetative cover (FVC) change in the Manasi Rivershed in China’s Xinjiang Uyghur Autonomous Region over 24 years. Changes in FVC in are often associated with changes in microclimate and alterations of land use. FVC is being widely studied as an indicator of regional climate change. Satellite images from the Thematic Mapper in 1989 and Operational Land Imager in 2013 were the primary data sources for the study. Preprocessing included accounting for the solar zenith angle and the earth-sun distance to produce measurements which are consistent for the two images. We produced an estimation of fractional vegetation cover by conducting a linear spectral mixing analysis (LSM) in ENVI on the two images. The LSM analysis method uses endmembers chosen from the image to represent different components which characterize the target area’s desert landscape. We chose photosynthetic vegetation, non-photosynthetic vegetation, and soil to be the endmembers for the analysis. Our field team also collected ground truth data in 2014 and 2017 to assess the accuracy of the LSM analysis. Our results indicate there has been a shift in FV cover and land use in the study area over the 24 year period.

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