Land cover maps are tools that provide vital information about the Earth's land use and cover patterns. They aid policy development, urban planning, and forest and agricultural monitoring.[1][2]
The systematic mapping of land cover patterns, including change detection, often follows two main approaches:
Field survey
Remote sensing satellite image processing.[3] This cost-efficient approach employs several techniques for image pre-processing and processing to accurately map land cover patterns. These techniques detect changes at various spatial scales following a series of machine learning simulations and statistical applications.
Image pre-processing is normally done through radiometric corrections, while image processing involves the application of either unsupervised or supervised classifications and vegetation indices quantification for land cover map production.
^Wessels, Konrad J.; Reyers, Belinda; van Jaarsveld, Albert S.; Rutherford, Mike C. (April 2003). "Identification of potential conflict areas between land transformation and biodiversity conservation in north-eastern South Africa". Agriculture, Ecosystems & Environment. 95 (1): 157–178. doi:10.1016/s0167-8809(02)00102-0. ISSN 0167-8809.
^Gebhardt, Steffen; Wehrmann, Thilo; Ruiz, Miguel; Maeda, Pedro; Bishop, Jesse; Schramm, Matthias; Kopeinig, Rene; Cartus, Oliver; Kellndorfer, Josef; Ressl, Rainer; Santos, Lucio (2014-04-30). "MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data". Remote Sensing. 6 (5): 3923–3943. Bibcode:2014RemS....6.3923G. doi:10.3390/rs6053923. ISSN 2072-4292.
^Cracknell, Matthew J.; Reading, Anya M. (February 2014). "Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information". Computers & Geosciences. 63: 22–33. Bibcode:2014CG.....63...22C. doi:10.1016/j.cageo.2013.10.008. ISSN 0098-3004.
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