title: [Estimation of desert vegetation coverage based on multi-source remote sensing data].
abstract: Taking the lower reaches of Tarim River in Xinjiang of Northwest China as study areaAbstract: Taking the lower reaches of Tarim River in Xinjiang of Northwest China as study area and based on the ground investigation and the multi-source remote sensing data of different resolutions, the estimation models for desert vegetation coverage were built, with the precisions of different estimation methods and models compared. The results showed that with the increasing spatial resolution of remote sensing data, the precisions of the estimation models increased. The estimation precision of the models based on the high, middle-high, and middle-low resolution remote sensing data was 89.5%, 87.0%, and 84.56%, respectively, and the precisions of the remote sensing models were higher than that of vegetation index method. This study revealed the change patterns of the estimation precision of desert vegetation coverage based on different spatial resolution remote sensing data, and realized the quantitative conversion of the parameters and scales among the high, middle, and low spatial resolution remote sensing data of desert vegetation coverage, which would provide direct evidence for establishing and implementing comprehensive remote sensing monitoring scheme for the ecological restoration in the study area.
authors.affiliation: College of Pratacultural and Environmental Science, Xinjiang Agricultural University, Urumqi 830052, China. wanhongmei0508@163.com
authors.forename: Hong-Mei
authors.initials: HM
authors.lastname: Wan
authors.forename: Xia
authors.initials: X
authors.lastname: Li
authors.forename: Dao-Rui
authors.initials: DR
authors.lastname: Dong
mesh_terms: D002681:China; D003247:Conservation of Natural Resources; D003889:Desert Climate; D017753:Ecosystem; D008962:Models, Theoretical; D063245:Plant Development; D058998:Remote Sensing Technology / Q000379:methods