Remote Sensing | |
Improving Estimates of Grassland Fractional Vegetation Cover Based on a Pixel Dichotomy Model: A Case Study in Inner Mongolia, China | |
Fei Li2  Wei Chen1  Yuan Zeng2  Qianjun Zhao2  | |
[1]School of Geosciences and Info-Physics, Central South University, Changsha 410083, China | |
[2] E-Mail: | |
[3]Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China | |
[4] E-Mails: | |
关键词: grassland; fractional vegetation cover; pixel dichotomy model; Inner Mongolia; MODIS; Landsat 8; | |
DOI : 10.3390/rs6064705 | |
来源: mdpi | |
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【 摘 要 】
Linear spectral mixture analysis (SMA) is commonly used to infer fractional vegetation cover (FVC), especially for pixel dichotomy models. However, several sources of uncertainty including normalized difference vegetation index (NDVI) saturation and selection of endmembers inhibit the effectiveness of SMA for the estimation of FVC. In this study, Moderate-resolution Imaging Spectroradiometer (MODIS) and Landsat 8/Operational Land Imager (OLI) remote sensing data for the early growing season and
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
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RO202003190025724ZK.pdf | 985KB | ![]() |