Drought Analysis of an Area Using Google Earth Engine
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8568-5_10
Reference9 articles.
1. https://india.mongabay.com/2021/05/southern-indias-2016-2018-drought-was-the-worst-in-150-years/
2. Pai DS, Sridhar L, Guhathakurta P, Hatwar HR (2011) District-wide drought climatology of the southwest monsoon season over India based on standardized precipitation index (SPI). Nat Hazards. https://doi.org/10.1007/s11069-011-9867-8
3. Jahangir Alam ATM, Sayedur Rahman M, Saadat AHM (2013) Monitoring meteorological and agricultural drought dynamics in Barind region Bangladesh using standard precipitation index and Markov chain model. Int J Geomat Geosci 3(3). ISSN 0976-4380
4. Shah R, Bharadiya N, Manekar V (2015) Drought index computation using standardized precipitation index (SPI) method for Surat District, Gujarat. Aquat Procedia 4:1243–1249. https://doi.org/10.1016/j.aqpro.2015.02.162
5. Sazib N, Mladenova I, Bolten J (2018) Leveraging the Google Earth Engine for drought assessment using global soil moisture data. Remote Sens 10:1265. https://doi.org/10.3390/rs10081265
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