Scene selection and the use of NASA's global orthorectified Landsat dataset for land cover and land use change monitoring
Tatem, Andrew J., Nayar, Anjali and Hay, Simon I. (2007) Scene selection and the use of NASA's global orthorectified Landsat dataset for land cover and land use change monitoring. International Journal of Remote Sensing, 27, (14), 3073-3078. (doi:10.1080/01431160600589195). (PMID:21994469).
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This study examines the utility of NASA's circa 1990 and circa 2000 global orthorectified Landsat dataset for land cover and land use change mapping and monitoring across Africa. This is achieved by comparing the temporal and spatial variation of NDVI, measured independently by the NOAA-AVHRR at the time of Landsat scene acquisition, against the seasonal mean for each Landsat scene extent. Decadal sequences of drift-corrected NOAA-AVHRR imagery were used to calculate NDVI means and standard deviations for the periods covered by the scenes composing the c.1990 and c.2000 Landsat datasets. The specific NOAA-AVHRR NDVI values at the acquisition date of each individual Landsat scene were also calculated and the differences, both from the mean and scaled by standard deviation, were mapped for the Landsat scene footprints in the c.1990 and c.2000 datasets. The resulting maps show the temporal position of each Landsat scene within the seasonal NDVI cycle, and provide a valuable guide to assist in quantifying uncertainty and interpreting land cover and land use changes inferred from these Landsat data.
|Digital Object Identifier (DOI):||doi:10.1080/01431160600589195|
|Subjects:||G Geography. Anthropology. Recreation > G Geography (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
|Divisions :||Faculty of Social and Human Sciences > Geography and Environment
|Accepted Date and Publication Date:||
|Date Deposited:||25 Oct 2012 08:38|
|Last Modified:||31 Mar 2016 14:36|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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