Mapping the fractional cover of nonphotosynthetic vegetation and its spatiotemporal variations in the Xilingol grassland using MODIS imagery (2000−2019)
Mapping the fractional cover of nonphotosynthetic vegetation and its spatiotemporal variations in the Xilingol grassland using MODIS imagery (2000−2019)
复制标题
利用MODIS影像绘制锡林郭勒草原非光合植被覆盖度及其时空变化(2000年—2019年)
DOI:
10.1080/10106049.2020.1801860
复制
发表时间:
--
影响因子:
3.8
通讯作者:
Zhoulong Wang
中科院分区:
文献类型:
--
作者:
Guoqi Chai;Jingpu Wang;Mengquan Wu;Guoqing Li;Li Zhang;Zhoulong Wang
Obtaining accurate information on the fractional cover of non-photosynthetic vegetation (NPV) (fNPV) on grasslands is essential for monitoring soil erosion risk, assessing grassland productivity and managing grassland ecosystems. However, few studies have monitoredfNPVin the Xilingol grassland region (XGR) and its spatiotemporal variations based on Moderate Resolution Imaging Spectroradiometer (MODIS) images. In this study, we determined the upper dead fuel index (DFI) threshold for NPV in the XGR. Then, a remote-sensing inversion model forfNPVwas established based on the ground-measuredfNPVand the DFI derived from MODIS images. Based on the inversion model, we obtained the spatial distribution and spatiotemporal variations infNPVfrom 2000 to 2019. The results indicated that the DFI can reflect the NPV in the XGR with an upper threshold of 27.2. The DFI-fNPVlinear regression model showed a good performance, with a coefficient of determination (R2) of 0.60 and a root mean square error of leave-one-out cross-validation (RMSECV) of 0.1574. Furthermore, the spatial distribution offNPVexhibited significant heterogeneity, andfNPVdecreased from the northeastern XGR to the southwestern XGR. The overall trend of the interannualfNPVin the XGR increased in a fluctuating manner during 2000–2019. ThefNPVincreased in 66.92% of the XGR and decreased in a relatively small proportion (18.21%) of the XGR.