The Angostura Faical Regional Conservation Area is a protected area of the Equatorial Dry Forest, which seeks to guarantee the appropriate use of fauna and flora resources under sustainable practices by local populations, in addition to reducing the effects of climate change. Therefore, the trend of the Normalized Difference Vegetation Index (NDVI) in the Angostura Faical Regional Conservation Area was determined and the areas were quantified based on their trend over time. Geographic information systems, remote sensing and platforms such as Google Earth Engine made it possible to obtain data from Landsat 5-7-8 satellite images, and the R programming language was also used in the RStudio integrated development environment for statistical analysis with the Mann Kendall test which is qualitative in nature. It was found that in the time series the neutral trend predominates with a normal behavior in an area of 7,304,568 hectares, in a favorable case in the vegetation, 1,489,457 hectares were found with a positive trend and with a negative trend in the vegetation one surface of 0, 458 hectares located near the La Angostura creek where runoff is captured in rainy weather. It should be considered that the monitoring of the environment is of vital importance for the conservation of natural areas and of the utmost importance for those that provide an environmental service. For this reason, the behavior of our protected areas must be known in order to make decisions with foundations and taking hold of technology

The scarce information that is counted and its importance in hydrological studies helps us to understand, simulate, and predict the events associated with the behavior of water. I think it is necessary to check the gridded data PISCOpm V.2.1 monthly rainfall with the observations in our Tumbes basin. For this, a comparative study was carried out between the observed and estimated values, concerning the weather station, elevation, seasonality of the year, and climatic region. Indicators such as the Coefficient of Determination(R2), Nash-Sutcliffe Efficiency Index (NS), and Percentage Statistical Bias (PBIAS%) were considered. At the monthly level, good correlation results were obtained, with values greater than 0,61, in the Nash - Sutcliffe efficiency index values greater than 0,60 and a minimum variation in the Percentage Statistical Bias. Regarding the elevation of the basin, data were obtained with a minimum adjustment in all the indicators. For the seasonal arrangement, summer presents the best average fit, followed by fall and spring. Winter presents a very good adjustment for 4 out of 9. Finally, of the 3 climatic regions, the D(i)A' region presents the best adjustment in the 3 indicators. It was possible to verify the adjustment of the data, having different results according to the evaluated criterion. This supports the use of observed data and its usefulness for studies in the Tumbes basin such as floods, droughts, hydrological and hydraulic modeling, completion of missing data, etc. Based on the results, studies of water availability, analysis of extreme events, etc. can be carried out.