Cargando…
Spatial statistics techniques for SPEI and NDVI drought indices: a case study of Khuzestan Province
Drought is a major water resources management issue in Iran. Khuzestan Province is in a drought state due to water shortage. Therefore, identifying areas at high risk of drought and when drought occurs is essential for drought management. For this purpose, this study used precipitation and temperatu...
Autores principales: | Nejadrekabi, M., Eslamian, S., Zareian, M. J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799989/ https://www.ncbi.nlm.nih.gov/pubmed/35126565 http://dx.doi.org/10.1007/s13762-021-03852-8 |
Ejemplares similares
-
Forecasting SPEI and SPI Drought Indices Using the Integrated Artificial Neural Networks
por: Maca, Petr, et al.
Publicado: (2016) -
Development and application of high resolution SPEI drought dataset for Central Asia
por: Pyarali, Karim, et al.
Publicado: (2022) -
Spatiotemporal drought analysis by the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) in Sichuan Province, China
por: Liu, Changhong, et al.
Publicado: (2021) -
Assessing the impacts of agricultural drought (SPI/SPEI) on maize and wheat yields across Hungary
por: Mohammed, Safwan, et al.
Publicado: (2022) -
Spatiotemporal drought analysis in Bangladesh using the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI)
por: Kamruzzaman, Mohammad, et al.
Publicado: (2022)