TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| 2 | |
| 2.5D buildings | |
| 2Player | |
| 3 | |
| 3D unmixing | |
| A | |
| Accessibility | |
| acteurs | |
| Aerial Imagery | |
| Africa | |
| Africa | |
| AI | |
| AI | |
| Air pollution | |
| Alberta | |
| Aménagement | |
| applied research | |
| Architectural Survey | |
| ARIMA | |
| Artificial intelligence | |
| Automated GIS generation | |
| B | |
| bibliometric analysis | |
| building detection | |
| building energy efficiency | |
| building footprints | |
| building heights | |
| building indicator | |
| Building Volume | |
| buildings | |
| Built-up index | |
| Built-up mapping | |
| C | |
| Carbon Monoxide CO | |
| cardiovascular disease | |
| CARLA | |
| Change detection | |
| Change Point Detection | |
| classification | |
| Classification of materials | |
| Climate Change | |
| clustering | |
| CNN | |
| CNN : Convolutional Neural Network | |
| CNN models | |
| cobalt | |
| cohort studies | |
| Comparative analysis | |
| computer vision | |
| conflict monitoring | |
| construction sites | |
| Control Points | |
| Cooling strategies | |
| Cooperative Learning | |
| COSMO-SkyMed | |
| CWCM | |
| D | |
| DART | |
| data augmentation | |
| DCNN : Deep Convolutional Neural Networks | |
| DDPM | |
| Deep Autoencoder | |
| Deep learning | |
| Deep Neural Networks | |
| Deep-Learning U-Net | |
| DeepForest | |
| Dense digital elevation models | |
| deprivation | |
| deprived areas | |
| Deprived urban areas | |
| Desertification | |
| development | |
| differentiable | |
| diffusion models | |
| DIM : Dimension | |
| direct mapping | |
| Domain Adaptation | |
| domain alignment | |
| domain generalization | |
| Dual polarimetric SAR data | |
| Dual-pol descriptors | |
| E | |
| Earth observation | |
| Earth Observation (EO) | |
| economic activity | |
| Economic Development | |
| ecosystem services | |
| Electromagnetic Scattering | |
| EMIT | |
| energy | |
| environment | |
| environmental impacts | |
| Environmental monitoring | |
| eThekwini Municipality | |
| Evolution | |
| Explainable artificial intelligence (XAI) | |
| F | |
| Feature learning | |
| financing | |
| Flood | |
| Flood segmentation | |
| food security | |
| Fusion Model | |
| fuzzy logic | |
| G | |
| Gabes | |
| Gabor spatial features | |
| GANs | |
| GDP Estimation | |
| GEE | |
| generative artificial intelligence | |
| Geological mapping | |
| Geometry Complexity | |
| Geospatial analysis | |
| geospatial data | |
| Geospatial Feature Extraction | |
| Germany | |
| GHSL | |
| Global South | |
| Global Urbanization | |
| governance | |
| Grad-CAM | |
| Grad-CAM++ | |
| Gradient Descent Optimization | |
| Graph Neural Networks | |
| Graphical Processing Unit | |
| Greenhouse gas | |
| Grid less GLRT | |
| GVI | |
| H | |
| Health | |
| hetereogeneity | |
| High Performance Computing | |
| High-resolution Images | |
| High-Resolution Satellite Images | |
| historical maps | |
| HRNet | |
| Hyperspectral Image | |
| Hyperspectral/multispectral data | |
| I | |
| ICT | |
| IDEAMAPS Network | |
| Image Classification Algorithm | |
| Image fusion | |
| Image Reconstruction | |
| Image resolution | |
| Image Super-Resolution | |
| in-situ environmental monitoring | |
| Income Class | |
| informal settlements | |
| informality | |
| Insights | |
| Instance segmentation | |
| Integration | |
| Intra-urban Patterns | |
| K | |
| key Indicators | |
| KUZNETS-curve | |
| L | |
| land cover | |
| Land Cover Change | |
| land surface temperature | |
| Land use classes | |
| Land use Land cover | |
| Landsat | |
| Landsat data | |
| Landslide | |
| large language models | |
| Laser Scanning | |
| LCZ | |
| lidar | |
| Local climate zones | |
| long-term urbanization | |
| LST | |
| M | |
| M3C2 | |
| machine learning | |
| manual image interpretation | |
| mapping | |
| marine mucilage | |
| Megacities | |
| MICMAC method | |
| mining | |
| MLE : Maximum Likelihood Estimation | |
| MLP | |
| MLP : Multi-Layer Perceptron | |
| Morocco | |
| MSAVI | |
| Mucilage | |
| multi-modal learning | |
| Multi-Source Data | |
| multi-source data integration | |
| multi-task learning | |
| Multi-view CNNs | |
| Multimodal Data Fusion | |
| N | |
| Nairobi | |
| Natural disasters | |
| Natural Language Processing (NLP) | |
| NDVI | |
| neural network | |
| Nitrogen Dioxide | |
| North Africa | |
| O | |
| object detection | |
| oil and gas well | |
| oil sands | |
| open data | |
| Open Vocabulary Classification | |
| Optical Remote Sensing | |
| P | |
| Parallel Algorithms | |
| pedestrian detection | |
| Perturbed Linear Mixing Model (PLMM) | |
| Photogrammetry | |
| PlanetScope | |
| planning | |
| plants | |
| Pleiades Neo | |
| point clouds | |
| PolSAR : Polarimetric Synthetic Aperture Radar | |
| Polygonal Roof Extraction | |
| Pomarico | |
| Population Dynamics | |
| Post-processing | |
| Q | |
| Quantum | |
| Quanvolution | |
| R | |
| Random Forest | |
| remote sensing | |
| Remote sensing data | |
| remote sensing dataset | |
| remote sensing integration | |
| RENABAP | |
| ResNet | |
| RF | |
| RF : Random Forest | |
| RFR | |
| risk analysis | |
| Routing | |
| S | |
| SAM | |
| SAR | |
| SAR : Synthetic Aperture Radar | |
| SAR Tomography | |
| SARIMA | |
| Satellite Image Time Series | |
| satellite imagery | |
| SAVI | |
| Scatterers detection | |
| Scene Captioning | |
| SDG 11 | |
| SDG 11.1.1 | |
| SDGs | |
| seasonal trend analysis | |
| Segmentation | |
| Self-supervised Learning | |
| Semantic Segmentation | |
| semantics | |
| Sentinel 1 | |
| Sentinel 2 | |
| Sentinel data | |
| Sentinel-1 | |
| Sentinel-1 SAR images | |
| Sentinel-2 | |
| settlement structure | |
| settlements | |
| Sfax | |
| SHapley Additive exPlanations (SHAP) | |
| Siamese U-Net | |
| Simulation | |
| Single tree detection | |
| SITS | |
| Slum mapping | |
| Slums | |
| Smart City | |
| Smartisation | |
| social media | |
| Societal impact | |
| Soil moisture | |
| spatial epidemiology | |
| spectra bundles | |
| spectral gradient | |
| spectral indices | |
| spectral unmixing | |
| spectral variability | |
| Split Window Method | |
| split-window algorithm | |
| Strategic Reorganisation | |
| Support Vector Machines | |
| Surface Heat Island | |
| sustainability | |
| Sustainable Development Goal 11 | |
| Sustainable development goals | |
| SVM : Support Vector Machine | |
| synthetic aperture radar | |
| Synthetic C-band backscatter | |
| Synthetic Data | |
| T | |
| Temporal Transfer Learning | |
| text data | |
| thermal infrared | |
| Tomography | |
| Tree canopy cover | |
| tree genus classification | |
| Tunisia | |
| U | |
| U-Net | |
| Ukraine | |
| uncertainty | |
| Unmixing | |
| Unplanned urbanization | |
| urban | |
| Urban | |
| Urban | |
| urban areas | |
| Urban areas extraction | |
| urban climate | |
| Urban deprivation | |
| urban environmental data | |
| Urban Expansion | |
| urban exposome | |
| urban floods | |
| urban form | |
| urban green | |
| urban green spaces | |
| Urban Greenery | |
| urban growth | |
| Urban heat island | |
| urban heat sink | |
| Urban Infrastructure | |
| urban landscapes | |
| Urban Mapping and Analysis | |
| Urban morphology | |
| Urban planning | |
| Urban Remote Sensing | |
| Urban Residential Building | |
| Urban structural types | |
| urban surface temperature | |
| urban thermal environment | |
| urban tree species | |
| Urban trees | |
| Urban vegetation | |
| Urbanization | |
| urbanization typology | |
| V | |
| VAR model | |
| vegetation index | |
| Very high resolution satellite imagery | |
| VHR | |
| visual question answering | |
| VOSviewer | |
| vulnerabilities | |
| W | |
| Wastewater mapping | |
| Web Mapping | |
| wildfire | |
| WorldView | |
| WRF | |
| WWTP | |
| X | |
| X-minute city | |
| Y | |
| YOLO | |