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

被引：2

作者：

Liang, Shouzhen ^{[1
,2
]}

Liu, Tao ^{[1
,2
]}

Chen, Zhen ^{[3
]}

Sui, Xueyan ^{[1
,2
]}

Hou, Xuehui ^{[1
,2
]}

Wang, Meng ^{[1
,2
]}

Yao, Huimin ^{[1
,2
]}

机构：

[1] Shandong Inst Agr Sustainable Dev, Jinan, Peoples R China

[2] Minist Agr, Key Lab East China Urban Agr, Jinan, Peoples R China

[3] Weifang Bur Land Resources, Weifang, Peoples R China

来源：

COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, PT I | 2019年 / 545卷

关键词：

Remote sensing; Drought; NDVI; Temperature; SURFACE; INDEX; EMISSIVITY;

D O I：

10.1007/978-3-030-06137-1_12

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

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.

引用

页码：116 / 125

页数：10

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