Data/hora: 13/06/2024 18:33:02

Biblioteca(s): 	Embrapa Agricultura Digital; Embrapa Pantanal.	
Data corrente: 	17/04/2023	
Data da última atualização: 	27/10/2023	
Autoria: 	LOUZADA, R. O.; REIS, L. K.; DINIZ, J. M. F. de S.; ROQUE, F. de O.; GAMA, F. F.; BERGIER, I.	
Afiliação: 	RÔMULLO OLIVEIRA LOUZADA, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; LETÍCIA K. REIS, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; JULIANA MARIA FERREIRA DE SOUZA DINIZ, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; FÁBIO DE OLIVEIRA ROQUE, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; FÁBIO F. GAMA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; IVAN BERGIER TAVARES DE LIMA, CPAP.	
Título: 	Combining optical and microwave remote sensing for assessing gullies in human-disturbed vegetated landscapes.	
Ano de publicação: 	2023	
Fonte/Imprenta: 	Catena, v. 228, 107127, July 2023.	
ISSN: 	1872-6887	
DOI: 	https://doi.org/10.1016/j.catena.2023.107127	
Idioma: 	Inglês	
Conteúdo: 	The 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.	
Palavras-Chave: 	Classificação de floresta aleatória; Desmistura espectral; Detecção de ravinas; Gully detection; Random Forest classification; SAR; Spectral unmixing.	
Thesagro: 	Sensoriamento Remoto; Uso da Terra.	
Thesaurus Nal: 	Land use; Landscapes; Remote sensing.	
Categoria do assunto: 	--
X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Pantanal (CPAP)	
Exemplares: 	CNPTIA - (21668-1) - UPC - AP - DD -  -  -  - DIS
CPAP - (60890-1) - UPC - AP - DD - 2023 -  - 2023 - DIS