Prediction drought using CA–Markov model and neural networks and its relationship to landforms
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-023-11325-0.pdf
Reference69 articles.
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2. Ali Z, Hussain I, Nazeer A, et al (2020) Measuring and restructuring the risk in forecasting drought classes: an application of weighted Markov chain based model for standardised precipitation evapotranspiration index (SPEI) at one-month time scale. 72:1–10. https://doi.org/10.1080/16000870.2020.1840209
3. Bai JJ, Yu Y, Di L (2017) Comparison between TVDI and CWSI for drought monitoring in the Guanzhong Plain, China. J Integr Agric 16:389–397. https://doi.org/10.1016/S2095-3119(15)61302-8
4. Balzter H (2000) Markov chain models for vegetation dynamics. Ecol Modell 126:139–154. https://doi.org/10.1016/S0304-3800(00)00262-3
5. Brown DG, Pijanowski BC, Duh JD (2000) Modeling the relationships between land use and land cover on private lands in the Upper Midwest, USA. J Environ Manag 59:247–263. https://doi.org/10.1006/JEMA.2000.0369
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