Research on the quantitative diagnosis of drought hazard degree of winter wheat using multi-source remote sensing data

Haixia He

doi:10.1117/12.2205636

14 December 2015 Research on the quantitative diagnosis of drought hazard degree of winter wheat using multi-source remote sensing data

Haixia He

Author Affiliations +

Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98151P (2015) https://doi.org/10.1117/12.2205636
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

The purpose of this study is to perform the quantitative diagnosis of drought hazard degree using multi-source remote sensing data. Hazard degree is the basic function for disaster risk assessment and loss assessment. Quantitative diagnosis of drought hazard degree is essential to decision-making of drought early warning and emergency relief in practice. The currently used diagnosis methods are based on disaster loss and drought indices. The response process and impacts of drought in different crop growth stages were ignored in these methods. So, the instructions were not dynamic and real time. This study investigated the drought hazard degree diagnosing of winter wheat based on continuous multi-source remote sensing imagery and comprehensive ground-based observations. The resulted indicated that the correlation is high and drought hazard degree is suitable and sensitive to reveal drought disaster-forming environment evolution, drought formation mechanism and drought influence.

Citation Download Citation

Haixia He "Research on the quantitative diagnosis of drought hazard degree of winter wheat using multi-source remote sensing data", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151P (14 December 2015); https://doi.org/10.1117/12.2205636

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