A Global Grassland Drought Index (GDI) Product: Algorithm and Validation
作者： Binbin He , Zhanmang Liao , Xingwen Quan , Xing Li , Junjie Hu
DOI: 10.3390/RS71012704
关键词:
摘要: Existing drought indices have been widely used to monitor meteorological and agricultural drought; however, few of them are focus on monitoring for grassland regions. This study presented a new index, the Grassland Drought Index (GDI), conditions in global These regions vital environment human society but susceptible drought. The GDI was constructed based three measures water content: precipitation, soil moisture (SM), canopy content (CWC). precipitation information extracted from available datasets, SM estimated by downscaling exiting data 1 km resolution, CWC retrieved PROSAIL (PROSPECT + SAIL) model. Each variable scaled 0 each pixel absolute minimum maximum values over time, these variables were combined with selected weights construct GDI. According validation at regional scale, correlated Standardized Precipitation (SPI) some extent, captured most area identified United States Monitor (USDM) maps. In addition, product spatial resolution substantially agreed Evapotranspiration (SPEI) throughout period 2005–2010, it provided detailed accurate about location duration evaluation using known events.
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