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| Accuracy Improvements to Pixel-Based and Object-Based | lulc | Classification with Auxiliary Datasets from Google Earth Engine |
| Adapting, Splitting and Merging Cadastral Boundaries According to Homogenous | lulc | Types Derived from SPOT 5 Data |
| Analysis of | lulc | and Urban Thermal Variations in Industrial Cities Using Earth Observation Indices and Machine Learning: A Case Study of Gujranwala, Pakistan |
| Analysis of | lulc | changes and urban expansion of the resort city of Al Ain using remote sensing and GIS |
| Application of Observation Minus Reanalysis Method towards | lulc | Change Impact over Southern India |
| Assessing Sponge Cities Performance at City Scale Using Remotely Sensed | lulc | Changes: Case Study Nanjing |
| Assessing Uncertainty in | lulc | Classification Accuracy by Using Bootstrap Resampling |
| Assessment Impacts of Weather and Land Use/Land Cover ( | lulc | ) Change on Urban Vegetation Net Primary Productivity (NPP): A Case Study in Guangzhou, China |
| Assessment of Ecosystem Service Value in Response to | lulc | Changes Using Geospatial Techniques: A Case Study in the Merbil Wetland of the Brahmaputra Valley, Assam, India |
| Automated | lulc | Classification of VHR Optical Satellite Data in the Context of Urban Planning |
| BD Open | lulc | Map: High-Resolution Land Use Land Cover Mapping and Benchmarking For Urban Development In Dhaka, Bangladesh |
| Best Accuracy Land Use/Land Cover ( | lulc | ) Classification to Derive Crop Types Using Multitemporal, Multisensor, and Multi-Polarization SAR Satellite Images |
| Climate and | lulc | Change Scenarios To Study Its Impact On Hydrological Regime |
| Co-Orbital Sentinel 1 and 2 for | lulc | Mapping with Emphasis on Wetlands in a Mediterranean Setting Based on Machine Learning |
| Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of | lulc | under Various Shared Socioeconomic Pathways |
| Detecting, Analyzing, and Predicting Land Use/Land Cover ( | lulc | ) Changes in Arid Regions Using Landsat Images, CA-Markov Hybrid Model, and GIS Techniques |
| Disagreements in Equivalent-Factor-Based Valuation of County-Level Ecosystem Services in China: Insights from Comparison Among Ten | lulc | Datasets |
| Drivers of Organic Carbon Stocks in Different | lulc | History and along Soil Depth for a 30 Years Image Time Series |
| Encoding Geospatial Vector Data for Deep Learning: | lulc | as a Use Case |
| Evaluating Machine-Learning Algorithms for Mapping | lulc | of the uMngeni Catchment Area, KwaZulu-Natal |
| Evaluation and Comparison of Open and High-Resolution | lulc | Datasets for Urban Blue Space Mapping |
| Fusion of Sentinel-1 with Official Topographic and Cadastral Geodata for Crop-Type Enriched | lulc | Mapping Using FOSS and Open Data |
| Future Scenarios of Land Use/Land Cover ( | lulc | ) Based on a CA-Markov Simulation Model: Case of a Mediterranean Watershed in Morocco |
| Geospatial Machine Learning Datasets Structuring and Classification Tool: Case Study for Mapping | lulc | From Rasat Satellite Images |
| Identifying Land Use and Land Cover ( | lulc | ) Change From 2000 to 2025 Driven By Tourism Growth: A Study Case In Bali |
| Improving | lulc | Classification From Satellite Imagery Using Deep Learning - Eurosat Dataset |
| Incorporating Interferometric Coherence Into | lulc | Classification Of Airborne Polsar-images Using Fully Convolutional Networks |
| Invasion of Savannas By Prosopis Trees In Eastern Africa: Exploring Their Impacts on | lulc | Dynamics, Livelihoods and Implications on Soil Organic Carbon Stocks |
| Long-Term | lulc | Monitoring in El Jadida, Morocco (1985-2020): A Machine Learning-Based Comparative Analysis |
| lulc | -SegNet: Enhancing Land Use and Land Cover Semantic Segmentation with Denoising Diffusion Feature Fusion |
| Mapping Typical Urban | lulc | from Landsat Imagery without Training Samples or Self-Defined Parameters |
| Modeling Long-Term | lulc | Changes and Future Urban Growth: A Case Study of Ulaanbaatar Using CA-Based Machine Learning |
| Multiplicative Long Short-Term Memory with Improved Mayfly Optimization for | lulc | Classification |
| New Thinking of | lulc | Classification Accuracy Assessment, A |
| Object-Oriented | lulc | Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms |
| Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and | lulc | Information |
| review of regional and Global scale Land Use/Land Cover ( | lulc | ) mapping products generated from satellite remote sensing, A |
| Semantic Boosting: Enhancing Deep Learning Based | lulc | Classification |
| Spatial Evolution of Prosopis Invasion and its Effects on | lulc | and Livelihoods in Baringo, Kenya |
| Spatial Stratification Method for the Sampling Design of | lulc | Classification Accuracy Assessment: A Case Study in Beijing, China |
| Stage-Adaptive Selective Network with Position Awareness for Semantic Segmentation of | lulc | Remote Sensing Images, A |
| Storm Surge Risk Assessment Based on | lulc | Identification Utilizing Deep Learning Method and Multi-Source Data Fusion: A Case Study of Huizhou City |
| Supervised Manifold-learning Algorithm for Polsar Feature Extraction and | lulc | Classification |
| Surface Urban Heat Islands Dynamics in Response to | lulc | and Vegetation across South Asia (2000-2019) |
| Texture Analysis for Land Use Land Cover ( | lulc | ) Classification In Parts Of Ahmedabad, Gujarat |
| Thirty-Year Dynamics of | lulc | at the Dong Thap Muoi Area, Southern Vietnam, Using Google Earth Engine |
| Understanding the Links between | lulc | Changes and SUHI in Cities: Insights from Two-Decadal Studies (2001-2020) |
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