Remote Sensing Monitoring of Drought Based on Landsat8 and NDVI-Ts Characteristic Space Method
| Autor: | Chen Zhen, Meng Wang, Xuehui Hou, Liu Tao, Huimin Yao, Liang Shouzhen, Xueyan Sui |
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| Rok vydání: | 2019 |
| Předmět: |
010504 meteorology & atmospheric sciences
0211 other engineering and technologies 02 engineering and technology Vegetation 01 natural sciences Normalized Difference Vegetation Index Remote sensing (archaeology) Soil water medicine Environmental science Dryness Monitoring methods medicine.symptom Water content 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing Characteristic space |
| Zdroj: | Computer and Computing Technologies in Agriculture XI ISBN: 9783030061364 CCTA (1) |
| DOI: | 10.1007/978-3-030-06137-1_12 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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