Paper
18 September 2009 Agricultural drought monitoring, forecasting and loss assessment in China
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Abstract
The thesis, on the basis of the researches in the past, discusses the researches on agricultural drought monitoring, forecasting and loss assessment evaluation as well as its application status in China. While discussing and comparing different soil moisture monitoring methods, the thesis also introduces Gstar-1 which is an automatic soil moisture observer with independent property right, and CSMI which is the new remote sensing monitoring index for soil moisture on the basis of MODIS data, and gives a comprehensive introduction to the loss assessment of China. Through the real-time monitoring, forecasting and assessment of drought occurrence and development, the thesis is dedicated to reducing the influence of drought to agricultural production to the largest extent. At last, on the basis of the problems in research, the thesis proposes the future research direction.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huailiang Chen, Hongwei Zhang, Ronghua Liu, and Weidong Yu "Agricultural drought monitoring, forecasting and loss assessment in China", Proc. SPIE 7472, Remote Sensing for Agriculture, Ecosystems, and Hydrology XI, 74721P (18 September 2009); https://doi.org/10.1117/12.830273
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Cited by 8 scholarly publications.
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KEYWORDS
Soil science

Agriculture

Meteorology

Remote sensing

Atmospheric modeling

Environmental sensing

Sensors

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