Land use and land cover (LULC) analysis has become increasingly significant in environmental studies due to its direct impact on the environment. Changes in LULC affect the ecological and climatic ...
An advanced Land Use and Land Cover (LULC) classification system using Sentinel-2 Multispectral (13-band) satellite imagery. While most AI models use only 3 RGB channels, this project utilizes the ...
This project performs land cover classification for the Central Chhattisgarh region using Landsat 8 Surface Reflectance imagery within the Google Earth Engine (Python API). Both unsupervised and ...
With efficient land use and land cover (LULC) classification, employing imagery from remote sensors analysis with high spatial resolution images may yield substantial benefits. Due to recent ...
Abstract: The research presents a hybrid LULC classification framework of the UC Merced dataset of 2,100 RGB images distributed across 21 classes, utilizing SMOTE to overcome class imbalance, and data ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results