Data/hora: 13/06/2024 13:04:54

Biblioteca(s): 	Embrapa Solos.	
Data corrente: 	20/05/2024	
Data da última atualização: 	20/05/2024	
Autoria: 	COSTA, G. A. O. P. da; SIMÕES, M.; SINGH, D.; HERLIN, I.; BERROIR, J. P.; SILVA, E. F. da.	
Afiliação: 	GILSON ALEXANDRE OSTWALD PEDRO DA COSTA, UNIVERSIDADE DO ESTADO DO RIO DE JANEIRO; MARGARETH GONCALVES SIMOES, CNPS; DHARMENDRA SINGH, INDIAN INSTITUTE OF TECHNOLOGY; ISABELLE HERLIN, INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE; JEAN-PAUL BERROIR, INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE; ENIO FRAGA DA SILVA, CNPS.	
Título: 	A methodology to support environmental degradation monitoring and analysis using AVHRR data.	
Ano de publicação: 	2005	
Fonte/Imprenta: 	In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 12., 2005, Goiânia. Anais [...]. São José dos Campos: INPE, 2005. p. 2941-2948.	
Idioma: 	Inglês	
Conteúdo: 	This work proposes a particular approach to assess information about soil degradation from NOAA/AVHRR data. As erosive processes change physical and chemical properties of the soil, altering, consequently, the superficial color, monitoring the change in color over time can help to identify and analyze those processes. A methodology for the determination of soil color from NOAA/AVHRR data was devised, based on a theoretical model that establishes the relationship among the soil color, described in the Munsell color system, vegetation indices, surface temperature and emissivity. The test area of the methodology was the Upper Taquari Basin, in the central region of Brazil, where the lack of land use planning and soil conservation practices have been causing severe erosion and siltation of the water bodies, increasing the spatial and temporal significance of flood events over the Brazilian Pantanal region. The tests showed that the methodology was efficient in determining soil color using the NDVI, MSAVI and PAVI vegetation indices. Best results were obtained for the hue color component. To further test the methodology, the calculated digital color models were compared with the characteristic color of soil classes of that region.	
Palavras-Chave: 	Emissividade; Índice de vegetação; Temperatura da superfície.	
Thesagro: 	Cor; Ecologia; Erosão; Sensoriamento Remoto; Solo.	
Thesaurus Nal: 	Remote sensing; Soil color; Soil erosion.	
Categoria do assunto: 	P Recursos Naturais, Ciências Ambientais e da Terra	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1164322/1/A-methodology-to-support-environmental-degradation-2005.pdf	
Registro original: 	Embrapa Solos (CNPS)	
Exemplares: 	CNPS - (21472-1) - UPC - AA - DD -  -  -  - DIS