A drought index based on slopes in NDVI-T<sub>s</sub> spaces used in monitoring drought in China

Shuhua Qi; Changyao Wang; Zheng Niu

doi:10.1117/12.513294

24 February 2004 A drought index based on slopes in NDVI-T_s spaces used in monitoring drought in China

Shuhua Qi, Changyao Wang, Zheng Niu

Proceedings Volume 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V; (2004) https://doi.org/10.1117/12.513294
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

In the study, the NDVI and land surface temperature (T_s) were calculated using NOAA-AVHRR image to construct the NDV/-Ts space from which a dryness index-temperature/vegetation dryness index (TVDI) which was based on the slopes was suggested according the interpretation of NDVI-T_s SPACE. With the dryness index, the drought spatial patterns in China for every ten days in May 2000 were studied. The dryness index that combines the land surface temperature with vegetation spectral index is computationally straightforward because it was based on the information derived from satellite data only. Using the TVDI, the surface moisture status in May in 2000 was studied. The TVDI spatial pattern was compared with the measured topsoil moisture from the weather stations around China with the linear regression strategy. A negative linear correlation between TVDI and the measures soil moisture was found, thus TVDI’s validity in monitoring drought was verified. TVDI and CWSI that was based on T_s only were compared. Results showed that TVDI had a more remarkable relation than CWSI to soil moisture. So we can reach the point safely that TVDI based on the combinational information of T_s and NDVI was superior to CWSI solely based on T_s in monitoring regional drought.

Citation Download Citation

Shuhua Qi, Changyao Wang, and Zheng Niu "A drought index based on slopes in NDVI-T_s spaces used in monitoring drought in China", Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); https://doi.org/10.1117/12.513294

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