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Improved-Integrated-Framework-for-Flooded-Crop-Damage-and-Recovery-Assessment
Improved-Integrated-Framework-for-Flooded-Crop-Damage-and-Recovery-Assessment PublicRepository for the paper "Improved Integrated Framework for Flooded Crop Damage and Recovery Assessment: A Multi-Source Earth Observation and Participatory Mapping in Hadejia, Nigeria"
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Crop-Type-Classification-with-Random-Forest-and-Sentinel-2-Time-Series-in-Google-Earth-Engine
Crop-Type-Classification-with-Random-Forest-and-Sentinel-2-Time-Series-in-Google-Earth-Engine PublicCrop type classification with 10m spatial resolution using Random Forest Machine Learning Algorithm and time-series sentinel-2 images in Google Earth Engine Python API.
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Land-Cover-Classification-Using-Machine-Learning-Algorithms-and-Multi-Source-Satellite-Images
Land-Cover-Classification-Using-Machine-Learning-Algorithms-and-Multi-Source-Satellite-Images PublicAssessed the performance of Random Forest (RF) and Support Vector Machines (SVM) machine learning algorithms for land cover classification in a predominant agricultural landscape using the fusion o…
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Flood-Extent-Mapping-And-Damage-Assessment-Tana-River-Kenya
Flood-Extent-Mapping-And-Damage-Assessment-Tana-River-Kenya PublicFlood extent mapping and damage assessment along the Tana River in Kenya during the April - May flooding in 2024.
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Spatio-Temporal-Analysis-of-Armed-Clash-Events-and-Fatalities-in-Nigeria
Spatio-Temporal-Analysis-of-Armed-Clash-Events-and-Fatalities-in-Nigeria PublicAnalysis of the trend of armed clash events perpetuated by terrorists, insurgents and militia groups and fatalities in Nigeria between 2010 and 2023, including multi-temporal views of two affected …
QML 1
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Housing-Prices-Prediction-Using-Random-Forests-And-Linear-Regression
Housing-Prices-Prediction-Using-Random-Forests-And-Linear-Regression PublicPrediction of housing prices using regression models.
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