Remote Sensing Monitoring of Drought Based on Landsat8 and NDVI-Ts Characteristic Space Method - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

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

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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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Dates and versions

hal-02124259 , version 1 (09-05-2019)

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Attribution - CC BY 4.0

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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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