Drought monitoring and agricultural drought loss risk assessment based on multisource information fusion-Reference-Cited by-同舟云学术

Drought monitoring and agricultural drought loss risk assessment based on multisource information fusion

Published:2021-10-28 Issue: Volume: Page:
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Zhang Manman,Luo Dang,Su Yongqiang

Funder

National Natural Science Foundation of China

Scientific and Technological Plan Fund Project of Henan Province

Key Research Project Plan of Henan Universities

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s11069-021-05078-w.pdf

Reference46 articles.

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2. de Brito CS, da Silva RM, Santos CAG et al (2021) Monitoring meteorological drought in a semiarid region using two long-term satellite-estimated rainfall datasets: a case study of the Piranhas River basin, northeastern Brazil. Atmos Res 250:105380

3. Fang SB (2011) Exploration of method for discrimination between trend crop yield and climatic fluctuant yield. J Nat Disasters 20(6):13–18 (In Chinese)

4. Geng SM, Yan DH, Yang ZY et al (2018) Characteristics analysis of summer maize yield loss caused by drought stress in the Northern Huaihe Plain, China. Irrig Drain 67(2):251–268

5. Hou W, Chen ZQ, Zuo DD et al (2018) Drought loss assessment model for southwest China based on a hyperbolic tangent function. Int J Disaster Risk Reduct 33:477–484

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