ABSTRACT 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.

中文翻译：

---

半干旱区水贫困指数环境分量遥感估算

摘要 地下水已成为人口和经济各个部门的替代供水，其开采量在全球范围内不断增加。水贫困指数 (WPI) 是一个整体工具，可以在贫困、社会边缘化、环境完整性、水资源可用性和健康之间建立联系。该指数包括五个组成部分——水资源、获取、容量、环境和使用——在 0 到 100 的范围内进行评估。本研究的目的是通过将远程感知技术应用于环境组成部分来计算 WPI。通过多时相分析，我们估计了墨西哥圣路易斯波托西半干旱地区土壤覆盖的变异性，该地区可用的地表水和地下水主要用于农业。