Probability assessment of vegetation vulnerability to drought based on remote sensing data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
http://link.springer.com/article/10.1007/s10661-018-7089-1/fulltext.html
Reference41 articles.
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2. Bhuiyan, C., Saha, A. K., Bandyopadhyay, N., & Kogan, F. N. (2017). Analyzing the impact of thermal stress on vegetation health and agricultural drought–a case study from Gujarat, India. GIScience & Remote Sensing, 1–22.
3. Bokal, S., Grobicki, A., Kindler, J., & Thalmeinerova, D. (2014). From national to regional plans—the Integrated Drought Management Programme of the Global Water Partnership for Central and Eastern Europe. Weather and Climate Extremes, 3, 37–46.
4. Chang, S., Wu, B., Yan, N., Davdai, B., & Nasanbat, E. (2017). Suitability assessment of satellite-derived drought indices for Mongolian grassland. Remote Sensing, 9(7), 650.
5. Choi, M., Jacobs, J. M., Anderson, M. C., & Bosch, D. D. (2013). Evaluation of drought indices via remotely sensed data with hydrological variables. Journal of Hydrology, 476, 265–273.
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