标题:THE SENSITIVITY OF EVAPOTRANSPIRATION FOR LAND USES AND TOPOGRAPHY IN AREA OF CERRADO BIOME - BRAZIL – A SENSIBILIDADE DA EVAPOTRANSPIRAÇÃO PARA USOS DO SOLO E TOPOGRAFIA EM ÁREA DO BIOMA CERRADO – BRASIL
摘要:Evapotranspiration (ET) is a crucial element in the space-time dynamics of humidity, energy, and heat, and is related to climatic, pedogeomorphological, and phytophysiognomic aspects of the landscape. Therefore, estimating ET requires dynamic temporal and integrated analysis with biophysical factors of the landscape. The study aimed to analyze ET behavior by land use and cover and topographic conditions in time series. The Simple Algorithm For Evapotranspiration Retrieving (SAFER) model was used to obtain the ET variable over 01/21, 02/22, 05/13 and 06/30/2019 (variables). A database of explanatory covariable was built, including land use and land cover, data from satellite image (Landsat-8), and digital elevation model (SRTM). The values of variables and covariates were extracted for a points grid and separated for three altimetric conditions, and in the point data, Gaussian Linear Models (GLM) were applied. The most explanatory spectral covariates for ET variation were Albedo and Surface Temperature, and the topographies were Digital Elevation Model and Topographic Humidity Index. In general, the wet period has a higher rate of ET (2.06 mm d - ¹). The Forests generated the highest ET regardless of the period (1.62 mm d - ¹ to 4.03 mm d - ¹). The elevated topography also influences ET increase concerning the same classes at lower altimetry (A2 and A3). This influence is associated with the dynamics of altitude and intrinsic elements of the region, such as the marshy environment in region A3, where the highest ET values occurred. This work stands out from the peers as it addresses the influence of aspects of the landscape on the knowledge of evapotranspiration variation, a vanguard theme in the scope of spatial analysis.
其他摘要:Evapotranspiration (ET) is a crucial element in the space-time dynamics of humidity, energy, and heat, and is related to climatic, pedogeomorphological, and phytophysiognomic aspects of the landscape. Therefore, estimating ET requires dynamic temporal and integrated analysis with biophysical factors of the landscape. The study aimed to analyze ET behavior by land use and cover and topographic conditions in time series. The Simple Algorithm For Evapotranspiration Retrieving (SAFER) model was used to obtain the ET variable over 01/21, 02/22, 05/13 and 06/30/2019 (variables). A database of explanatory covariable was built, including land use and land cover, data from satellite image (Landsat-8), and digital elevation model (SRTM). The values of variables and covariates were extracted for a points grid and separated for three altimetric conditions, and in the point data, Gaussian Linear Models (GLM) were applied. The most explanatory spectral covariates for ET variation were Albedo and Surface Temperature, and the topographies were Digital Elevation Model and Topographic Humidity Index. In general, the wet period has a higher rate of ET (2.06 mm d - ¹). The Forests generated the highest ET regardless of the period (1.62 mm d - ¹ to 4.03 mm d - ¹). The elevated topography also influences ET increase concerning the same classes at lower altimetry (A2 and A3). This influence is associated with the dynamics of altitude and intrinsic elements of the region, such as the marshy environment in region A3, where the highest ET values occurred. This work stands out from the peers as it addresses the influence of aspects of the landscape on the knowledge of evapotranspiration variation, a vanguard theme in the scope of spatial analysis.
关键词:Remote Sensing; SAFER; GLM; and hypsometric regions.
其他关键词:Remote Sensing; SAFER; GLM; and hypsometric regions.