58 Journal of Geographical Research | Volume 04 | Issue 04 | October 2021 Journal of Geographical Research https://ojs.bilpublishing.com/index.php/jgr Copyright © 2021 by the author(s). Published by Bilingual Publishing Co. This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License. (https://creativecommons.org/licenses/by-nc/4.0/). DOI: https://doi.org/10.30564/jgr.v4i4.3780 *Corresponding Author: Gema Marco Dos Santos, Departament of Agrochemistry and Environment, University Miguel Hernández of Elche, Edif, Alcudia, Elche, 03202, Spain; Email: gema.marcodos.santos@gmail.com Jose Navarro-Pedreño, Departament of Agrochemistry and Environment, University Miguel Hernández of Elche, Edif, Alcudia, Elche, 03202, Spain; Email: jonavar@umh.es 1. Introduction Reservoirs are a very important tool for water manage- ment, especially in semi-arid areas [1] . They facilitate water supply in scarcity periods, flood control, hydroelectric power generation and other uses [2] . In arid and semi- arid areas, with water scarcity and irregular precipitation, an effcient use of water resources is one of the greatest challenges for managers [3] , especially considering the climate change projections where a decrease in available water resources is expected [4,5] . In Spain, there has been a significant increase in water demand mainly to the ARTICLE Using Landsat Images to Determine Water Storing Capacity in Mediterranean Environments Gema Marco Dos Santos * Jose Navarro-Pedreño * Ignacio Meléndez-Pastor Ignacio Gómez Lucas Departament of Agrochemistry and Environment, University Miguel Hernández of Elche, Edif, Alcudia, Elche, 03202, Spain ARTICLE INFO ABSTRACT Article history Received: 28 September 2021 Revised: 26 October 2021 Accepted: 29 October 2021 Published Online: 31 October 2021 Reservoirs play an important role in water management and are key elements for water supply. Monitoring is needed in order to guarantee the quantity and quality of stored water. However, this task is sometimes not easy. The objective of this study was to develop a procedure for predicting volume of stored water with remote sensing in water bodies under Mediterranean climate conditions. To achieve this objective, multispectral Landsat 7 and 8 images (NASA) were analyzed for the following fve reservoirs: La Serena, La Pedrera, Beniarrés, Cubillas and Negratín (Spain). Reservoirs water surface was computed with the spectral angle mapper (SAM) algorithm. After that, cross-validation regression models were computed in order to assess the capability of water surface estimations to predict stored water in each of the reservoirs. The statistical models were trained with Landsat 7 images and were validated by using Landsat 8 images. Our results suggest a good capability of water volume prediction from free satellite imagery derived from surface water estimations. Combining free remote sensing images and open source GIS algorithms can be a very useful tool for water management and an integrated and effcient way to control water storage, especially in low accessible sites. Keywords: Climate change Decision-making tools GIS Reservoir Water storage