Advances of Remote Sensing in Land Cover and Land Use Mapping

The reprint of this Special Issue of Remote Sensing highlights recent advancements in the mapping of land use and land cover (LULC), emphasizing methodological innovation and scientific rigor. In response to growing challenges from climate variability, territorial dynamics, and societal transformati...

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Médium:	Online
Jazyk:	angličtina
Vydáno:	MDPI - Multidisciplinary Digital Publishing Institute 2026
Témata:	Land use Land cover Machine learning Remote sensing Random forest MOLUSCE plugin Artificial neural network Cellular automata Spatial dependence Temporal variability Sequential Gaussian simulation Kriging Cokriging CHIRPS High-performance computing Workflow Automation MODIS NDVI time series product Contaminated areas Reconstruction LULC classification LULC changes CA-Markov model LULC projection Land-use planning GIS IDRISI UMngeni river catchment LULC Landsat 8 South Africa Semantic segmentation Land cover mapping Deep learning Land cover classification Climate change Cover change GeoWEPP Sediment yield Flow Fine-tuning CNN U-net Training data Validation data Alaska Land use land cover changes Google Earth Engine Environmental impact Future projection Neural network Quaternary geology Bedrock mapping Aerial photos Otsu thresholding Combined model Seasonal dynamics Hyperspectral image Hyperspectral image classification N A thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
On-line přístup:	ONIX_20260416T142754_9783725859191_19
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Advances of Remote Sensing in Land Cover and Land Use Mapping

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