A repository containing data for the paper" Urbanization-led land cover change impacts terrestrial carbon storage capacity: A high-resolution remote sensing-based nation-wide assessment in Pakistan (1990–2020)"
Google Earth Engine App - Tamil Nadu LandUse LandCover classification - Random Forest Classifier
ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.
Research compendium of the article: A plataform for land use and land cover data integration and trajectory analysis
Online documentation for Collect Earth Online.
Python Client Library for Sample Database Model
Satellite-based causal attribution of coastal water clarity degradation to nickel smelting expansion at Indonesia's Morowali Industrial Park using Bayesian structural time series, multi-algorithm changepoint detection, and Sentinel-2 land cover intensity analysis.
Geo-AI models for Above Ground Biomass (AGB) and Land Use/Land Cover (LULC) assessment to support Indonesia’s FOLU Net Sink 2030.
Remote-sensing analysis of land-use and land-cover change in Ibadan Metropolitan Area using Landsat and Random Forest classification (2013–2023).
A deep learning-based web application for Satellite Land Use and Land Cover (LULC) classification using a fine-tuned ResNet50 model trained on the EuroSAT RGB dataset.
Utilities for data loading into sample-db
New Zealand Gridded Land Information Dataset
Track land use land cover changes in specific region geometries using DynamicWorld data
Urban Land Use / Land Cover classification using Sentinel-2 imagery and Random Forest (Python + QGIS)
Supervised and Unsupervised Machine Learning-Based Land Use/Land Cover Classification of the Central Chhattisgarh Region
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