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http://ipicyt.repositorioinstitucional.mx/jspui/handle/1010/2375| Estimation of the environment component of the Water Poverty Index via remote sensing in semi-arid zones | |
| BRISEIDA LOPEZ ALVAREZ María de los Ángeles Urbano Peña Janete Morán Ramírez José Alfredo Ramos Leal JOSE TUXPAN VARGAS | |
| En Embargo | |
| 30-11-2021 | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1080/02626667.2020.1839081 | |
| Water poverty index environment Resource Soil adjusted vegetation index (SAVI) Normalized difference vegetation index (NDVI) Foliar area index (LAI) Cigreen Socio-hydrology | |
| "Groundwater has become an alternative water supply for various sectors of the population and the economy, and its extraction is increasing worldwide. The water poverty index (WPI) is a holistic tool that enables the establishment of links between poverty, social marginalization, environmental integrity, water availability and health. The index includes five components – water resources, access, capacity, environment and use – which are evaluated on a scale of 0 to 100. The objective of this research is to calculate the WPI by applying remote perception techniques to the environment component. Through multi-temporal analysis, we estimate the variability of soil cover in a semi-arid area of San Luis Potosí in Mexico, where the available surface water and groundwater is mainly for agriculture. The overall result for the studied area was a WPI of 56, which reflects contradictions in the management of the resource that is abundant." | |
| Taylor & Francis | |
| 2020 | |
| Artículo | |
| B. Lopez-Alvarez, M. A. Urbano-Peña, J. Moran-Ramírez, J. A. Ramos-Leal & J. Tuxpan-Vargas (2020) Estimation of the environment component of the Water Poverty Index via remote sensing in semi-arid zones, Hydrological Sciences Journal, 65:16, 2647-2657, DOI: 10.1080/02626667.2020.1839081 | |
| HIDROLOGÍA | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Publicaciones Científicas Geociencias Aplicadas |