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Since there are no mathematical models that can calculate the Laguna de Bustillos’ water storage levels, water balance requires this data to understand the connectivity between this water body and the Cuauhtemoc aquifer. This article presents a new three-dimensional reconstruction technique based on a time series of multispectral remote sensing ima...
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In the northeast of Mexico, the genus Abies forms forests considered relicts, with distribution only recognized by governmental instances for the state of Nuevo León. There are four species of Abies known within the state of Tamaulipas, which are listed by IUCN, but only two of them (A. vejarii and A. guatemalensis) form forests, being those found...
Since there are no mathematical models that can calculate the Laguna de Bustillos’ water storage levels, water balance requires this data to understand the connectivity between this water body and the Cuauhtemoc aquifer. This article presents a new three-dimensional reconstruction technique based on a time series of multispectral remote sensing ima...
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... Radiation flux from the sun penetrates deep into the water column in clear water conditions, absorbing energy (Smith & Tyler, 1967). Under conditions of turbidity and low depth (<3 m) (Rojas-Villalobos, Alatorre-Cejudo, Stringman, Samani, & Brown, 2018), suspended particles on the surface layer scatter solar radiation. Therefore, the water temperature increases resulting in more evaporation (Kirk, 1985). ...
Waterbody evaporation (E) within endorheic basins in semiarid areas is critical in determining the water balance. Accurate E measurements can provide valuable information for the sustainable management of water resources in the face of climate change scenarios. However, evaporation can be estimated through methods as efficient as Penman using variables from agroclimatic stations, such as wind velocity, net radiation, relative humidity, and air temperature, which have spatiotemporal variability. Within the evaporation models based on remote sensing (RS) is the surface energy balance model (SEB), which has been applied to different methodologies and extends the measurements of evapotranspiration (ET) at a regional level. SEB-based methodologies use physical principles with minimal weather data requirements to estimate ET. Hence, this article compares two RS methodologies that estimate evaporation: The Regional Evapotranspiration Estimate Model (REEM) and the Earth Engine Evapotranspiration Flux (EEFlux). Comparing ET measurements obtained from REEM and EEFlux for seven Landsat OLI scenes in the agriculture cycle of April to September applied against the simplified Penman equation showed that the REEM performed better (d = 94 %) than the EEFlux (d = 68 %) for the indicated period. Although the comparison of REEM and EEFlux shows accurate E measurements (REEM), gridded weather data (EEFlux) needs to improve, increasing the scale using local information.
Since there are no mathematical models that can calculate the Laguna de Bustillos’ water storage levels, water balance requires this data to understand the connectivity between this water body and the Cuauhtemoc aquifer. This article presents a new three-dimensional reconstruction technique based on a time series of multispectral remote sensing images, bathymetry, a topographic survey with high precision GPS, and regional contours. With the images of Landsat ETM+/OLI and Sentinel 2A from 2012 to 2013, 2016, and 2017, the contours of the water surface were extracted using the MNDWI and were associated with an elevation received from GPS. An Autonomous Surface Vehicle was also used to obtain the bathymetry of the lake. A topographic survey was carried out using GPS in populated areas, and the contour lines extracted from the INEGI Continuous Elevations Model 3.0. A DEM was constructed using ArcGIS 10.5.1, and surfaces and volumes were calculated at different elevations and compared with 16 Landsat TM/ETM+/OLI multispectral images from 1999 to 2018. The results showed that the mean of the average intersection area between the test images and the area extracted from the 3D model is above 90.9% according to the confidence interval, kappa overall accuracy 95.2–99.7 %, and a coefficient 89.9–99.3 %. This model proved to be very accurate on a regional scale when the water level exceeded 1971.32 meters above mean sea level and useful to evaluate and administer water resources. DOI: https://doi.org/10.54167/tch.v12i1.129
