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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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Enti autori: Gadal, Sébastien, Mozgeris, Gintautas
Natura: Livro
Lingua:Inglês
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2025
Soggetti:
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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
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Accesso online:https://directory.doabooks.org/handle/20.500.12854/175014
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