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Title: A new technique for seasonal land-cover change analysis using directional brightness differencing
Contributor(s): Sinha, Priyakant (author); Kumar, Lalit  (author)orcid 
Publication Date: 2012
Open Access: Yes
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Abstract: Due to seasonal spectral variability in land-cover of cool temperate climatic conditions, the method that suits best for seasonal land-cover change identification remains uncertain. The study tested 11 different binary change detection methods and compared their capability in detecting land-cover change/no-change information in different seasons. Multi-date Thematic Mapper (TM) data pertaining to different seasons were used for a wide set of change image generation. A relatively new approach was applied for optimal threshold value determination for separation of change/no-change areas. Research indicated that irrespective of the method used, the results using vegetation index change images, particularly Normalized Difference Vegetation Index (NDVI)-based change images outperformed all other tested techniques in change detection process (overall accuracy> 90% and Kappa value> 0.85 for all six change periods).
Publication Type: Journal Article
Source of Publication: The GSTF Journal of Engineering Technology, 1(1), p. 61-66
Publisher: Global Science and Technology Forum (GSTF)
Place of Publication: Singapore
ISSN: 2251-3701
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
Socio-Economic Objective (SEO): 960504 Ecosystem Assessment and Management of Farmland, Arable Cropland and Permanent Cropland Environments
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Environmental and Rural Science

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