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Reconstruction and application of the temperature-vegetation-precipitation drought index in mainland China based on remote sensing datasets and a spatial distance model by Wei Wei; Haoyan Zhang; Libang Ma; Xufeng Wang; Zecheng Guo; Binbin Xie; Junju Zhou; Jiping Wang is a Environmental Science article available to read on EtoBox.

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In recent years, remote sensing drought monitoring indices have been gradually developed and have been widely used for global or regional drought monitoring due to their strong drought-monitoring capabilities and easy implementation advantages. However, some defects of remote sensing drought indices stand to be improved due to certain errors in the inversion of surface characteristics by remote sensing datasets. The temperature-vegetation-precipitation drought index (TVPDI) was taken as the research object, and the leaf area index (LAI), the difference between the land surface temperature (LST) and monthly average temperature, and Global Precipitation Measurement (GPM) precipitation data were selected instead of the normalized difference vegetation index (NDVI), LST and tropical rainfall measuring mission (TRMM) data to improve TVPDI. The improved remote sensing drought index was named the improved temperature-vegetation-precipitation drought index (iTVPDI). The drought-monitoring accuracy of iTVPDI was verified by the gross primary productivity (GPP), soil moisture, and crop yield per unit. The drought-monitoring ability of iTVPDI was verified with traditional drought indices, inc

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Author

Wei Wei; Haoyan Zhang; Libang Ma; Xufeng Wang; Zecheng Guo; Binbin Xie; Junju Zhou; Jiping Wang

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Environmental Science (Physical Sciences)