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Evaluating the Impact of Drought Using Remote Sensing in a Mediterranean, Semi-arid Region

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  • Sergio Vicente-Serrano

Abstract

This paper analyses monthly differences in drought impact on vegetation activity in a semi-arid region in the north-east of the Iberian Peninsula between 1987 and 2000. The study determines spatial differences in the effects of drought on the natural vegetation and agricultural crops by means of the joint use of vegetation indexes derived from AVHRR images, a drought index (standardized precipitation index), and Geographic Information Systems. The results show that the effect of drought on vegetation varies noticeably between areas, a pattern that is determined mainly by the location of land-cover types. The influence also varies each month and, in general, is higher during the spring and summer. Aridity and vegetation characteristics similarly account, in part, for spatial differences in the impact of drought on vegetation. In general, the most arid areas, where vegetation cover and activity are low, are those in which the interannual variability of vegetation activity is more determined by the drought occurrence. In assessing drought impact, this analysis takes into account the effects of drought on the vegetation and also considers spatial and seasonal differences. The results should be useful for the management of natural vegetation and crops and for the development of better drought mitigation strategies. Copyright Springer 2007

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  • Sergio Vicente-Serrano, 2007. "Evaluating the Impact of Drought Using Remote Sensing in a Mediterranean, Semi-arid Region," 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. 40(1), pages 173-208, January.
    • Handle: RePEc:spr:nathaz:v:40:y:2007:i:1:p:173-208
    DOI: 10.1007/s11069-006-0009-7
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    1. Olga Wilhelmi & Donald Wilhite, 2002. "Assessing Vulnerability to Agricultural Drought: A Nebraska Case Study," 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. 25(1), pages 37-58, January.
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    2. Dimitrios Myronidis & Dimitrios Stathis & Konstantinos Ioannou & Dimitrios Fotakis, 2012. "An Integration of Statistics Temporal Methods to Track the Effect of Drought in a Shallow Mediterranean Lake," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(15), pages 4587-4605, December.
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    5. Rui Li & Jing’ai Wang & Tianjie Zhao & Jiancheng Shi, 2016. "Index-based evaluation of vegetation response to meteorological drought in Northern China," 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. 84(3), pages 2179-2193, December.
    6. Sergio M. Vicente-Serrano & Miquel Tomas-Burguera & Santiago Beguería & Fergus Reig & Borja Latorre & Marina Peña-Gallardo & M. Yolanda Luna & Ana Morata & José C. González-Hidalgo, 2017. "A High Resolution Dataset of Drought Indices for Spain," Data, MDPI, vol. 2(3), pages 1-10, June.
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    9. V. K. Prajapati & M. Khanna & M. Singh & R. Kaur & R. N. Sahoo & D. K. Singh, 2021. "Evaluation of time scale of meteorological, hydrological and agricultural drought indices," 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. 109(1), pages 89-109, October.
    10. Kiyoumars Roushangar & Roghayeh Ghasempour & Vahid Nourani, 2022. "Spatiotemporal Analysis of Droughts Over Different Climate Regions Using Hybrid Clustering Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 473-488, January.
    11. Maliheh Arekhi & Serhun Saglam & Ulas Yunus Ozkan, 2020. "Drought monitoring and assessment using Landsat TM/OLI data in the agricultural lands of Bandar-e-Turkmen and Gomishan cities, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(7), pages 6691-6708, October.
    12. López-Vicente, M. & Navas, A., 2012. "A new distributed rainfall-runoff (DR2) model based on soil saturation and runoff cumulative processes," Agricultural Water Management, Elsevier, vol. 104(C), pages 128-141.
    13. Gülay Onuşluel Gül & Ali Gül & Mohamed Najar, 2022. "Historical evidence of climate change impact on drought outlook in river basins: analysis of annual maximum drought severities through daily SPI definitions," 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. 110(2), pages 1389-1404, January.
    14. Bardia Bayat & Mohsen Nasseri & Banafsheh Zahraie, 2015. "Identification of long-term annual pattern of meteorological drought based on spatiotemporal methods: evaluation of different geostatistical approaches," 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. 76(1), pages 515-541, March.
    15. Zheng Li & Tao Zhou & Xiang Zhao & Kaicheng Huang & Shan Gao & Hao Wu & Hui Luo, 2015. "Assessments of Drought Impacts on Vegetation in China with the Optimal Time Scales of the Climatic Drought Index," IJERPH, MDPI, vol. 12(7), pages 1-20, July.

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