02359naa a2200349 a 450000100080000000500110000800800410001902200140006002400540007410000190012824501370014726000090028452013170029365000130161065000150162365000190163865000250165765000170168265300430169965300250174265300260176765300200179365300330181365300080184665300220185470000160187670000260189270000200191870000160193870000160195477300390197021575572023-10-27       2023    bl uuuu     u00u1 u    #d  a1872-68877 ahttps://doi.org/10.1016/j.catena.2023.1071272DOI1 aLOUZADA, R. O.  aCombining optical and microwave remote sensing for assessing gullies in human-disturbed vegetated landscapes.h[electronic resource]  c2023  aThe accurate assessment of the gully is key to stopping soil loss, especially in agricultural landscapes. This study aims to combine freely distributed remote sensing data for the evaluation of gullies located in a tropical watershed with a history of cattle production. Eighty-four vectorized gullies were defined in the Pirizal River basin, part of the highly eroded Upper Taquari (Brazil). We examined 56 variables from Sentinel-1/2 and ALOS-PALSAR-1 datasets, including SAR products and optical products like textures, water, vegetation, and terrain indices. Following a correlation analysis, 19 variables were selected for mapping in a Random Forest classifier by considering samples of active (soil) and stabilized (vegetation) pixels. The method reached an overall accuracy of 89%, in which soil abundance was responsible for 44% of the overall importance in the classification. Optical indices and texture products outperformed SAR products, whose importance represented only 14%. In the studied river basin, about 63% of the gullies were found stabilized, 30% in the process of stabilization, and only 7% active. The method proved effective, low cost, and promptly replicable to general river basins with gullies, mainly those in the tropics where vegetation has a significant role in soil loss control.  aLand use  aLandscapes  aRemote sensing  aSensoriamento Remoto  aUso da Terra  aClassificação de floresta aleatória  aDesmistura espectral  aDetecção de ravinas  aGully detection  aRandom Forest classification  aSAR  aSpectral unmixing1 aREIS, L. K.1 aDINIZ, J. M. F. de S.1 aROQUE, F. de O.1 aGAMA, F. F.1 aBERGIER, I.  tCatenagv. 228, 107127, July 2023.