Open AccessStudy on Remote Sensing Retrieval of Soil Moisture in Arid Desert Area Based on FTVDI
Author(s) -
Zhenzhen Lu,
Daqing Wang,
Zhibin Ding,
Yue Shi,
Hao Ning,
Jiahao Zhao,
Hongfei Zhao,
HuiRu Cui,
Han Xu,
Zijian Cheng,
Xiaoning Zhao
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/826/1/012051
Subject(s) - arid , environmental science , vegetation (pathology) , water content , dryness , satellite , remote sensing , china , desert (philosophy) , moisture , normalized difference vegetation index , satellite imagery , leaf area index , geography , meteorology , geology , agronomy , medicine , paleontology , philosophy , geotechnical engineering , surgery , archaeology , epistemology , pathology , aerospace engineering , engineering , biology
In this study, the desert oasis area of Minqin, Gansu Province was taken as the study area, and China Gaofen-6(GF-6) satellite and China-Brazil Earth Resource Resources Satellite - 04 (CBERS-04) were invlked as remote sensing data sources. The soil moisture was retrieved by using Forward Temperature Vegetation Dryness Index (FPVDI), and the spatial distribution of soil moisture was analyzed. The result showed that FTVDI could be directly and accurately retrieve soil moisture.