-
Machine learning model based analysis of land use land cover change and assessing its potential impact on surface runoff in meki watershed, rift valley lakes basin, Ethiopia
-
Multi-temporal modelling and projection of land use/land cover dynamics in the Dechatu River Catchment, Ethiopia using Google Earth Engine and machine learning
-
Machine learning‐based prediction of cereal rye cover crop biomass across diverse agroecosystems
-
Impacts of oil and gas production on land use land cover in unity state, South Sudan
-
Correction to “Machine learning‐based prediction of cereal rye cover crop biomass across diverse agroecosystems”
-
Modelling long-term land cover changes resulting from mining at Grootegeluk coal mine, Limpopo province, South Africa: implication for environmental management
-
Machine learning and geospatial modeling of forest loss, drivers, and risk areas: advancing continuous cover forestry as a nature-based solution
-
Quantitative Multiyear Assessment of Flood Impact on Land Use and Land Cover in Sylhet Region, Bangladesh: Insights from Sentinel Imageries
-
Integrated assessment of land cover dynamics and drivers of landscape transformation in Katsina Metropolis Nigeria
-
Detection of Spatiotemporal Land-Cover Dynamics and Soil Erosion Potentiality in the Lower Ganges Watershed
-
A Two-Stage XGBoost Approach for Mapping Arable and Non-Arable Soils under Salinity Stress in Southern Iraq
-
Analyzing the Influence of Land Use Land Cover Dynamics on Groundwater Reserves in Mymensingh Sadar Region through Remote Sensing and GIS Techniques
-
Machine Learning and Geospatial Modeling of Climate Change Impacts on Ethiopian Honeybees for Conservation and Resilient Agriculture
-
Reconstruction of Global 0.25° Land Lightning Density from 1979 to 2025 based on an ensemble machine learning
-
Comparative analysis of traditional and machine learning approaches for estimating the bearing capacity of granular soils
-
Peat core research in the Western Siberian Lowland: applications of palaeoecological proxies, regions studied, and future prospects
-
Species, sampling method and location affect eel eDNA detection in a turbid lowland lake
-
Correction to “Interactions Between Enrichment Planted Seedlings and Naturally Occurring Trees in Selectively Logged Lowland Dipterocarp Forest”
-
Cover Image
-
Cover Image
-
Precision planting of cereal rye cover crop improves sweet corn yield and farm benefits
-
Migration and Land Use Change in Europe: A Review
-
Low-Cost Monitoring of Spatiotemporal Changes in Forest Cover: Implications for Conservation in a Case in Quindío (Colombia)
-
Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change
