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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16465
Title: A methodology to support the analysis of environmental degradation using noaa AVHRR data
Authors: Meirelles M.S.
Costa G.A.
Singh D.
Berroir J.P.
Herlin I.
Silva E.F.
Coutinho H.L.
Altan O.
Published in: Proceedings of International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Abstract: 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 in the Upper Taquari Basin.
Citation: Proceedings of International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, (2004), 220- 224
URI: http://repository.iitr.ac.in/handle/123456789/16465
Issue Date: 2004
Publisher: International Society for Photogrammetry and Remote Sensing
Keywords: Color
Ecology
Emissivity
Erosion
Remote sensing
Soil
Surface temperature
Vegetation index
ISSN: 16821750
Author Scopus IDs: 13408507000
57214062246
36912015700
7003374274
55999400600
57212116234
7003447923
Author Affiliations: Meirelles, M.S., Rio de Janeiro State University (UERJ), Geomatics Dept., Brazil, Brazilian Agricultural Research Corporation (EMBRAPA), Soil Research Center, Brazil
Costa, G.A., Rio de Janeiro State University (UERJ), Geomatics Dept., Brazil
Singh, D., Indian Institute of Technology, Roorkeee, India
Berroir, J.P., Institut National de Recherche en Informatique et Automatique (INRIA), France
Herlin, I., Institut National de Recherche en Informatique et Automatique (INRIA), France
Silva, E.F., Brazilian Agricultural Research Corporation (EMBRAPA), Soil Research Center, Brazil
Coutinho, H.L., Brazilian Agricultural Research Corporation (EMBRAPA), Soil Research Center, Brazil
Appears in Collections:Conference Publications [ECE]

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