Correlation analysis of different optical remote sensing indices for drought monitoring: a case study of Canton Sarajevo, Bosnia and Herzegovina
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-023-11930-2.pdf
Reference112 articles.
1. AghaKouchak, A., Farahmand, A., Melton, F., Teixeira, J., Anderson, M., Wardlow, B., & Hain, C. (2015). Remote sensing of drought: Progress, challenges and opportunities. Reviews of Geophysics, 53(2), 452–480. https://doi.org/10.1002/2014RG000456
2. Alahacoon, N., & Edirisinghe, C. M. (2022a). A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale. Geomatics, Natural Hazards and Risk, 13(1), 762–799. https://doi.org/10.1080/19475705.2022.2044394
3. Alahacoon, N., & Edirisinghe, C. M. (2022b). Novel index for hydrological drought monitoring using remote sensing approach: Standardized water surface index (SWSI). Remote Sensing, 14(21), 5324. https://doi.org/10.3390/rs14215324
4. Amalo, L. F., Hidayat, R., & Haris. (2017). Comparison between remote-sensing-based drought indices in East Java. IOP Conference Series: Earth and Environmental Science 54, 012009. https://doi.org/10.1088/1755-1315/54/1/012009
5. Amalo, L. F., Ma’rufah, U., & Permatasari, P. A. (2018). Monitoring 2015 drought in West Java using normalized difference water index (NDWI). IOP Conference Series Earth and Environmental Science, 149(1), 012007. https://doi.org/10.1088/1755-1315/149/1/012007
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