Statistical modelling of drought-related yield losses using soil moisture-vegetation remote sensing and multiscalar indices in the south-eastern Europe
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DOI: 10.1016/j.agwat.2020.106168
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- Manman Zhang & Dang Luo & Yongqiang Su, 2022. "Drought monitoring and agricultural drought loss risk assessment based on multisource information fusion," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 775-801, March.
- Potopová, V. & Trifan, T. & Trnka, M. & De Michele, C. & Semerádová, D. & Fischer, M. & Meitner, J. & Musiolková, M. & Muntean, N. & Clothier, B., 2023. "Copulas modelling of maize yield losses – drought compound events using the multiple remote sensing indices over the Danube River Basin," Agricultural Water Management, Elsevier, vol. 280(C).
- Meng, Huayue & Qian, Long, 2024. "Performances of different yield-detrending methods in assessing the impacts of agricultural drought and flooding: A case study in the middle-and-lower reach of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 296(C).
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- Soumyashree Dixit & V. Neethin & K. V. Jayakumar, 2023. "Assessment of Crop-Drought Relationship: A Climate Change Perspective," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 4075-4095, August.
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- Rigas Giovos & Dimitrios Tassopoulos & Dionissios Kalivas & Nestor Lougkos & Anastasia Priovolou, 2021. "Remote Sensing Vegetation Indices in Viticulture: A Critical Review," Agriculture, MDPI, vol. 11(5), pages 1-20, May.
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More about this item
Keywords
EVI2 MODIS; SWI-12 and SWI-14 ASCAT; Remotely sensed drought indices; SPEI climate-based drought index; Bayesian neural network; Statistical modelling of risk;All these keywords.
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