IDL Coding of Fy-3 VIRR-based Temperature Vegetation Drought Index and Application in Shaanxi Province

doi:10.3969/j.issn.1000-6362.2015.04.016

Abstract

Abstract: The purpose of the present study is to monitor the soil drought of Shaanxi province based on the temperature vegetable drought index (TVDI). The visible and infrared rafiometer (VIRR) level-1 data from the FY-3 satellite was used as the source of data for the present study on cloud detection and inversion of land surface temperature and TVDI. The Interactive Data Language (IDL) was used to develop an application to preprocess FY3 VIRR level-1 data, implement cloud detection, and inverse the land surface temperature and TVDI-based soil drought. The data inversion proved that the TVDI obtained from FY-3 VIRR level-I data had a negative relation of about -0.535 with the relative humidity of the soil in 20cm underground.It can truly reflect the soil drought of Shaanxi Province. The TVDI data inversion truly reflected the soil drought for stations in Shaanxi province except Yulin where the vegetation coverage is low.

Key words: Land surface temperature, Normalized difference vegetation index(NDVI), Temperature vegetable drought index (TVDI), Relative soil humidity, IDL languages, Shaanxi province

WANG Wei-Dong，ZHAO Qing-lan，LI Hua-long，ZHOU Hui. IDL Coding of Fy-3 VIRR-based Temperature Vegetation Drought Index and Application in Shaanxi Province[J]. Chinese Journal of Agrometeorology, 2015, 36(04): 513-520.

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