Remote Sensing Monitoring of Drought Based on Landsat8 and NDVI-Ts Characteristic Space Method - Computer and Computing Technologies in Agriculture XI Access content directly
Conference Papers Year : 2019

Remote Sensing Monitoring of Drought Based on Landsat8 and NDVI-Ts Characteristic Space Method

Abstract

Drought has an important impact to agriculture, and its monitoring is very necessary for many regions subjected to drought in Shandong province. Gaomi city of Shandong was chosen as a study area to probe remote sensing monitoring method of drought. Landsat8 satellite data and soil volumetric moisture content data from filed investigation were used. Temperature- vegetation method was adopted to monitor drought in the study area. The results showed that land surface temperature was negatively related to NDVI. Temperature vegetation dryness index (TVDI) had a significant correlation with soil water content. TVDI can reflect the drought in the study. It suggests that TVDI can be used as a effective index to monitor drought in the study area.
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hal-02124259 , version 1 (09-05-2019)

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Shouzhen Liang, Tao Liu, Zhen Chen, Xueyan Sui, Xuehui Hou, et al.. Remote Sensing Monitoring of Drought Based on Landsat8 and NDVI-Ts Characteristic Space Method. 11th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Aug 2017, Jilin, China. pp.116-125, ⟨10.1007/978-3-030-06137-1_12⟩. ⟨hal-02124259⟩
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