This record contains annual land cover maps covering the Colombian Andean and Caribbean regions for the period 1997 - 2024. The annual maps have been created from a machine learning model that used the outputs of the Continuous Change Detection and Classification Algorithm as features, along with training data, to generate class probability layers that were further post-processed. Legend: 1: Natural forest 2: Tree plantation 3: Developed: 5: Agriculture / Pasture 6: Water 7: Barren 8: Oil palm plantation
Description This dataset provides a temporally consistent annual Land Use/Land Cover (LULC) dataset for the Municipality of M'Sila, Algeria, covering the period from 1985 to 2025. The dataset was generated from the Landsat archive using a deep learning framework developed in Goog…
# Land Subsidence Susceptibility Mapping and Screening-Level Relative Sea Level Change Scenarios for the Nigerian Coastal Zone Analysis code and derived data layers for the manuscript: > Ugwu, O. J., Njoku, R. E., Ahuchaogu, E. U., \& Uzoeshi, S. M. (2026).> \*Land Subsidence Sus…
This repository contains the processed analytic dataset and analysis code supporting the study "Environmental Co-Exposure, Green Space, and Frequent Mental Distress in Texas Census Tracts: An Interpretable Machine Learning and Spatial Analysis." The dataset includes tract-level f…
Dataset Description Bitemporal Sentinel-1 & Sentinel-2 Dataset for Deforestation and Forestation Monitoring in Sumatra and Kalimantan Abstract & Overview This dataset provides a large-scale collection of 45,770 remote sensing image tiles specifically curated for bitemporal change…
DOI: https://doi.org/10.5281/zenodo.21530751 This dataset provides a global Gross Primary Production (GPP) product at a spatial resolution of 0.05 degree and a temporal resolution of 8 days, covering the period from 2016 to 2024. The product was generated using the chlorophyll-ba…
This repository is used to support the research article "Machine learning-driven reconstruction of the climatological geomagnetic diurnal variations at middle to low latitudes: Leveraging Swarm-to-ground observations mapping to bridge unmonitored regions". It contains the code an…