"August 2022"@en . . . . . . "Land cover maps are tools that provide vital information about the Earth's land use and cover patterns. They aid policy development, urban planning, forest and agricultural monitoring, etc. The systematic mapping of land cover patterns, including change detection, often follows two main approaches: \n* Field survey \n* Remote sensing satellite image processing. This cost efficient approach employs several image pre-processing and processing techniques 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 classifications or supervised classifications and vegetation indices quantification for land cover map production."@en . . "67383410"^^ . . . . . . "non-standard capitalisation and use of italics"@en . . . "Land cover maps"@en . . . . . . . . . "24261"^^ . . . . . . . . . . . . . . . . . . . . . "Land cover maps are tools that provide vital information about the Earth's land use and cover patterns. They aid policy development, urban planning, forest and agricultural monitoring, etc. The systematic mapping of land cover patterns, including change detection, often follows two main approaches: Image pre-processing is normally done through radiometric corrections, while image processing involves the application of either unsupervised classifications or supervised classifications and vegetation indices quantification for land cover map production."@en . . . . . . . . . . . . . "1123042638"^^ . . . .