Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/18693
Título: Change detection technique based on the radiometric rotation controlled by no-change axis, applied on a semi-arid landscape
Autor: Maldonado, Francisco Dario
Santos, João Roberto dos
Graça, Paulo Maurício Lima Alencastro de
Palavras-chave: Arid Regions
Imaging Techniques
Radiometers
Remote Sensing
Vegetation
Atmospheric Correction
Grazing
Rotation Controlled By No-change Axis
Landforms
Detection Method
Digital Image
Field Survey
Imagery
Landsat Thematic Mapper
Landscape
Methodology
Radiometric Survey
Bos
Capra Hircus
Data do documento: 2007
Revista: International Journal of Remote Sensing
Encontra-se em: Volume 28, Número 8, Pags. 1789-1804
Abstract: We demonstrate a new digital technique for change detection that integrates field survey data in a methodology. The field survey was specifically designed to control the operation of this new technique for change detection. The Radiometric Rotation Controlled by No-change Axis (RCNA) technique was applied with spectral bands in the visible spectral range without atmospheric correction. The 190.37 km2 study area is located in the centre of the semi-arid region of northeast Brazil. This region is occupied by a natural shrub vegetation and low arboreal type steppe. This is known locally as 'caatinga', and in this area the predominant use is grazing by cattle and goat. Two TM/Landsat images in digital format of the dry seasons of 1984 and 1996 were used together with two ETM+/Landsat images for the dry seasons of 1999 and 2001. Three change maps were generated, all with accuracy index values of around 0.70, which is acceptable for areas with complex patterns like semi-arid lands. In conclusion, there is no need to apply atmospheric correction methods to a pair of multi-temporal images to obtain an acceptable accuracy of change detection in semi-arid regions. Although this technique can combine images from different sensors, this requires that both have similar spectral ranges.
DOI: 10.1080/01431160600905821
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