Advances of Remote Sensing in Land Cover and Land Use Mapping
Materialtyp:
ArtikelUtgivningsinformation: CH MDPI - Multidisciplinary Digital Publishing Institute 2025Beskrivning: 1 electronic resource (330 p.)Innehållstyp: - text
- computer
- online resource
- 9783725859191
- 9783725859207
- Reference, Information and Interdisciplinary subjects
- Research and information: general
- Aerial photos
- Alaska
- Artificial neural network
- Automation
- Bedrock mapping
- CA-Markov model
- CHIRPS
- CNN
- Cellular automata
- Climate change
- Cokriging
- Combined model
- Contaminated areas
- Cover change
- Deep learning
- Environmental impact
- Fine-tuning
- Flow
- Future projection
- GIS
- GeoWEPP
- Google Earth Engine
- High-performance computing
- Hyperspectral image
- Hyperspectral image classification
- IDRISI
- Kriging
- LULC
- LULC changes
- LULC classification
- LULC projection
- Land cover
- Land cover classification
- Land cover mapping
- Land use
- Land use land cover changes
- Land-use planning
- Landsat 8
- MODIS NDVI time series product
- MOLUSCE plugin
- Machine learning
- Neural network
- Otsu thresholding
- Quaternary geology
- Random forest
- Reconstruction
- Remote sensing
- Seasonal dynamics
- Sediment yield
- Semantic segmentation
- Sequential Gaussian simulation
- South Africa
- Spatial dependence
- Temporal variability
- Training data
- U-net
- UMngeni river catchment
- Validation data
- Workflow
Open Access Unrestricted online access star
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 transformations, the contributions aim to enhance the accuracy, consistency, and transparency of LULC assessments. It showcases cutting-edge applications of remote sensing technologies, including developments in artificial intelligence, the increasing availability of satellite data, and the integration of large geospatial databases. These tools facilitate improved observation, monitoring, and modelling of land-related processes. The articles included explore novel approaches to understanding the spatial and temporal dynamics of land systems, addressing multi-scale patterns and changes in land use and cover. This Special Issue serves as a comprehensive overview of how contemporary remote sensing techniques can inform spatial planning and environmental management, grounded in robust methodological frameworks and operational case studies across various disciplines.
Creative Commons Licence cc by cc https://creativecommons.org/licenses/by/4.0/
eng
Freely available e-book