NDLI: Mapping landscape change using multi-resolution remotely-sensed data , intensity analysis and trend analysis

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Mapping landscape change using multi-resolution remotely-sensed data , intensity analysis and trend analysis

Content Provider	Semantic Scholar
Author	Münch, Zahn
Copyright Year	2017
Abstract	Comparison of land-cover maps for different time steps can reveal important landscape transitions. Though land-cover categories derived by classification of satellite imagery are assumed accurate they may contain error which not only influences sizes and types of change identified, but also can mask important category dynamics. Seasonality or climate variability may be concealed in a land-cover classification generated from a particular point in time. In this paper, a spatial–temporal multi-resolution mapping approach is used to integrate trend data from Moderate Resolution Imaging Spectroradiometer (MODIS) with Landsat-derived land-cover change maps to characterize hypothetical error in land-cover change maps. Land-cover maps derived from Landsat imagery for 2000 and 2014 for two watersheds in the rural Eastern Cape of South Africa were compared to determine gross loss and gain per category for eight land-cover classes using intensity analysis in a transition matrix. Predicted change was characterized as persistence, gains and losses. Land-cover change categories and their associated hypothesized error were correlated with linear and non-linear NDVI trends. Spatial dependence was detected among the errors associated with regions of complex terrain where inherent uncertainty of land-cover classification is high due to shadow masking steep slopes. Categories indigenous forest and plantations were spectrally and phenologically more similar than others causing confusion particularly at coarser resolution. Small fragmented categories, wetlands in particular, could not be better identified using trends in the coarser resolution MODIS imagery. However, with longer time series of Landsat data now freely available, this shortcoming can be corrected.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://ia800805.us.archive.org/11/items/ProceedingsOfThe28thInternationalCartographicConferenceJuly2-72017/419693.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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