This study identifies the effects of land use change in the area of direct influence of the Dulcepamba River for hydroelectric production in relation to vegetation, river course, and damage to the population, among others, through multi-temporal analysis of satellite images 20- years old, this study presents conclusive results based on a methodology for detecting land use change through multitemporal analysis, which was contrasted and verified with topographic and visual field identification, in the evaluation of the 4 time periods analyzed, exists change in the river and closed areas affected with changes influence of the riverbed, which affects the area where the local population lives and carries out their economic activities. The cause-effect relationship of the anthropic interventions in the river and the impacts on the area of the "village" and the "populated area" is also evidenced by comparing the representative images of each period in which there were significant changes, from October 2001 to December 2019

The generation of permeability maps is based on the analysis and interpretation of geology, environmental morphology, land use, and slope, which enables the selection of sampling areas with similar characteristics. The method represents the integration of the physical characteristics of the study area and then determines the infiltration capacity differences in the most representative geopedologic units. In determining the basic data, minidisc infiltrometers were used to perform seventy-two infiltration tests in different types of soils with varying organic matter content, texture, soil structure, and vegetation cover, which showed the spatial variability that exists in two cantons of Loja province, Ecuador. In addition, it was observed that the infiltration rate depended mainly on the content of the organic matter in the soil and is consistent with information collected on permeability worldwide. In this study, generated pedotransfer function (FTP) coefficient of determination R2 0.78, the determination of the coefficient indicates a satisfactory estimate of the permeability with the variables that were analyzed; in addition, the methodology for assessing the permeability was suitable for the conditions of this investigation. For this reason, the method described here should be tested in other areas of the country with a greater number of field trials and with more variable contents of organic matter and soil textural classes.

The generation of permeability maps is based on the analysis and interpretation of geology, environmental morphology, land use, and slope, which enables the selection of sampling areas with similar characteristics. The method represents the integration of the physical characteristics of the study area and then determines the infiltration capacity differences in the most representative geopedologic units. In determining the basic data, minidisc infiltrometers were used to perform seventy-two infiltration tests in different types of soils with varying organic matter content, texture, soil structure, and vegetation cover, which showed the spatial variability that exists in two cantons of Loja province, Ecuador. In addition, it was observed that the infiltration rate depended mainly on the content of the organic matter in the soil and is consistent with information collected on permeability worldwide. In this study, generated pedotransfer functon(FTP) coefficient of determination R2 0.78, the determination of the coefficient indicates a satisfactory estimate of the permeability with the variables that were analyzed; in addition, the methodology for assessing the permeability was suitable for the conditions of this investigation. For this reason, the method described here should be tested in other areas of the country with a greater number of field trials and in as with more variable contents of organic matter and soil textural classes.

This study identifies the effects of land use change in the area of direct influence of the Dulcepamba River for hydroelectric production in relation to vegetation, river course, and damage to the population, among others, through multi-temporal analysis of satellite images 20- years old.