Data/hora: 22/06/2024 02:18:43

Biblioteca(s): 	Embrapa Solos.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Data corrente: 	07/10/2021	
Data da última atualização: 	08/10/2021	
Autoria: 	SINGH, D.; MEIRELLES, M. S. P.; COSTA, G. A.; HERLIN, I.; BERROIR, J. P.; SILVA, E. F.	
Afiliação: 	D. SINGH, Indian Institute of Technology; MARGARETH GONCALVES SIMOES, CNPS; G. A. COSTA, UERJ; I. HERLIN, Institut National de Recherche en Informatique et Automatique; J. P. BERROIR, Institut National de Recherche en Informatique et Automatique; E. F. SILVA, CNPS.	
Título: 	Environmental degradation analysis using NOAA/AVHRR data.	
Ano de publicação: 	2006	
Fonte/Imprenta: 	Advances in Space Research, v. 37, n. 4, p. 720-727, 2006.	
DOI: 	https://doi.org/10.1016/j.asr.2004.12.052	
Idioma: 	Inglês	
Conteúdo: 	This paper proposes a particular approach to assess information about soil degradation, based on a methodology to calculate soil color 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 relationship among the soil color (described in the Munsell Color System, i.e., in terms of Hue, Value and Chroma), vegetation indices, surface temperature and emissivity has been established, which is based on the theoretical model. The methodology has three main phases: determination of the regression models among soil color and vegetation indices, emissivity and surface temperature; generation of digital soil color models; and statistical evaluation of the estimated color. The tests showed that the methodology is efficient in determining soil color using the various vegetation indices (i.e., Normalized vegetation index NDVI, Modified soil adjusted vegetation index MSAVI). One vegetation index, i.e., Purified adjusted vegetation index (PAVI) is proposed to subsidies the effect of vegetation over the soil. Best results were obtained for the Hue color component. To further test the methodology, the estimated digital color models were compared with the characteristic color of soil classes in the test area. The results of this application confirmed the methodology's capacity to determine the soil color from NOAA/AVHRR data. This type of study is quite helpful to know the erosion of soil as well as some abrupt change in soil due to natural hazards by space borne or air-borne sensors.	
Thesaurus Nal: 	Remote sensing; Soil color; Soil erosion.	
Categoria do assunto: 	P Recursos Naturais, Ciências Ambientais e da Terra	
Registro original: 	Embrapa Solos (CNPS)	
Exemplares: 	CNPS - (20808-1) - UPC - AP - DD -  -  -  - DIS