Remote Sensing

Papers
(The TQCC of Remote Sensing is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-07-01 to 2024-07-01.)
ArticleCitations
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine644
Applications of Remote Sensing in Precision Agriculture: A Review468
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture447
A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5354
Sentinel-2 Data for Land Cover/Use Mapping: A Review325
Vision Transformers for Remote Sensing Image Classification283
Digital Twin Technology Challenges and Applications: A Comprehensive Review254
Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition253
Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019244
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis228
Spatial-Spectral Transformer for Hyperspectral Image Classification216
Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review206
Review of Image Classification Algorithms Based on Convolutional Neural Networks201
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms175
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review161
LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images155
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges149
Deep Learning-Based Change Detection in Remote Sensing Images: A Review147
Remote Sensing in Agriculture—Accomplishments, Limitations, and Opportunities143
LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity137
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine137
Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)134
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms131
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5129
Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection128
Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images123
Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran123
A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades122
Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China122
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation119
BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images119
Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin116
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5113
Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery111
Improved Transformer Net for Hyperspectral Image Classification110
CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan110
Global Mangrove Extent Change 1996–2020: Global Mangrove Watch Version 3.0110
Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis109
Status of Phenological Research Using Sentinel-2 Data: A Review109
Spatial Variability and Temporal Heterogeneity of Surface Urban Heat Island Patterns and the Suitability of Local Climate Zones for Land Surface Temperature Characterization109
A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images108
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications106
Hand Gestures Recognition Using Radar Sensors for Human-Computer-Interaction: A Review105
Efficient Transformer for Remote Sensing Image Segmentation104
Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research104
Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation103
Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review103
Estimating the Characteristic Spatiotemporal Variation in Habitat Quality Using the InVEST Model—A Case Study from Guangdong–Hong Kong–Macao Greater Bay Area103
A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions102
Land Use/Land Cover Changes and Their Driving Factors in the Northeastern Tibetan Plateau Based on Geographical Detectors and Google Earth Engine: A Case Study in Gannan Prefecture102
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review102
CoralTemp and the Coral Reef Watch Coral Bleaching Heat Stress Product Suite Version 3.1102
A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges102
A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices102
A Systematic Literature Review on Crop Yield Prediction with Deep Learning and Remote Sensing97
CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images97
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth96
Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak95
Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology95
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR95
Swin-Transformer-Enabled YOLOv5 with Attention Mechanism for Small Object Detection on Satellite Images94
Progress and Trends in the Application of Google Earth and Google Earth Engine94
A Warming Mediterranean: 38 Years of Increasing Sea Surface Temperature92
Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery92
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data92
Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–201992
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran91
UAV-Based Forest Health Monitoring: A Systematic Review91
Improving YOLOv5 with Attention Mechanism for Detecting Boulders from Planetary Images90
HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images90
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover90
Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review89
Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review89
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications88
Application of Combining YOLO Models and 3D GPR Images in Road Detection and Maintenance88
Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images88
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images88
Investigating Detection of Floating Plastic Litter from Space Using Sentinel-2 Imagery87
A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China87
Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery85
Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series85
Spatiotemporal Variation of Vegetation on the Qinghai–Tibet Plateau and the Influence of Climatic Factors and Human Activities on Vegetation Trend (2000–2019)84
YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images84
Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case84
Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests83
Digital Elevation Model Quality Assessment Methods: A Critical Review83
UAV-Based Remote Sensing Applications for Bridge Condition Assessment83
Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion83
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine82
A Review of Irrigation Information Retrievals from Space and Their Utility for Users82
A Technical Review of Planet Smallsat Data: Practical Considerations for Processing and Using PlanetScope Imagery82
Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data82
Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review82
Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters81
A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers81
Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review81
Photogrammetry Using UAV-Mounted GNSS RTK: Georeferencing Strategies without GCPs80
Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks80
Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision80
DR-Net: An Improved Network for Building Extraction from High Resolution Remote Sensing Image80
Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data80
Thermal Imaging for Plant Stress Detection and Phenotyping78
Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision78
Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR78
Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping78
High-Speed Lightweight Ship Detection Algorithm Based on YOLO-V4 for Three-Channels RGB SAR Image78
Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors78
Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images77
Drone Image Segmentation Using Machine and Deep Learning for Mapping Raised Bog Vegetation Communities77
Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review77
Transformer with Transfer CNN for Remote-Sensing-Image Object Detection77
Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks77
Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models77
A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios77
Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform77
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review76
A Review of Deep Learning in Multiscale Agricultural Sensing76
Impacts of Drought and Climatic Factors on Vegetation Dynamics in the Yellow River Basin and Yangtze River Basin, China75
An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation74
Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series74
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data74
TRS: Transformers for Remote Sensing Scene Classification73
Deep Learning for Land Cover Change Detection73
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning73
The Use of LiDAR-Derived DEM in Flood Applications: A Review73
Digital Elevation Models: Terminology and Definitions73
Automatic Mapping of Landslides by the ResU-Net73
Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey72
An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends72
Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China72
A Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data72
Application of the Random Forest Classifier to Map Irrigated Areas Using Google Earth Engine71
Measurement of Forest Inventory Parameters with Apple iPad Pro and Integrated LiDAR Technology71
Accuracy Assessment of Digital Elevation Models (DEMs): A Critical Review of Practices of the Past Three Decades71
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation71
Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques71
Evaluation of the Spatiotemporal Variations in the Eco-environmental Quality in China Based on the Remote Sensing Ecological Index71
An Overview on Visual SLAM: From Tradition to Semantic70
Crop Type Classification Using Fusion of Sentinel-1 and Sentinel-2 Data: Assessing the Impact of Feature Selection, Optical Data Availability, and Parcel Sizes on the Accuracies70
Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods70
Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case Study70
Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST)70
Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery70
An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products69
A Machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery69
Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review69
The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review69
CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection68
Mask R-CNN Refitting Strategy for Plant Counting and Sizing in UAV Imagery68
Building Extraction from Remote Sensing Images with Sparse Token Transformers68
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms68
Deep BLSTM-GRU Model for Monthly Rainfall Prediction: A Case Study of Simtokha, Bhutan67
Recent Advancement in Remote Sensing Technology for Hydrology Analysis and Water Resources Management67
Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review67
Crop Type and Land Cover Mapping in Northern Malawi Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data67
UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications67
Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function66
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine66
UAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Points66
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions66
Transformers in Remote Sensing: A Survey66
Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future Land Use Changes in Hokkaido, Japan66
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection65
Impacts of Drought on Vegetation Assessed by Vegetation Indices and Meteorological Factors in Afghanistan65
Spatial and Temporal Differences in Alpine Meadow, Alpine Steppe and All Vegetation of the Qinghai-Tibetan Plateau and Their Responses to Climate Change65
Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images65
Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images65
Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images64
Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms64
Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery64
Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures64
From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning64
Mapping Winter Crops Using a Phenology Algorithm, Time-Series Sentinel-2 and Landsat-7/8 Images, and Google Earth Engine64
Consistency Analysis and Accuracy Assessment of Three Global 30-m Land-Cover Products over the European Union using the LUCAS Dataset63
Spatiotemporal Variation of Surface Urban Heat Islands in Relation to Land Cover Composition and Configuration: A Multi-Scale Case Study of Xi’an, China63
Improved Estimation of Winter Wheat Aboveground Biomass Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis63
Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review63
Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park63
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility63
Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments63
Advances in IoT and Smart Sensors for Remote Sensing and Agriculture Applications63
Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks63
Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine63
ECAP-YOLO: Efficient Channel Attention Pyramid YOLO for Small Object Detection in Aerial Image62
Land-Use and Land-Cover Classification Using a Human Group-Based Particle Swarm Optimization Algorithm with an LSTM Classifier on Hybrid Pre-Processing Remote-Sensing Images62
Few-Shot Classification of Aerial Scene Images via Meta-Learning62
Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment62
Laboratory and UAV-Based Identification and Classification of Tomato Yellow Leaf Curl, Bacterial Spot, and Target Spot Diseases in Tomato Utilizing Hyperspectral Imaging and Machine Learning61
Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery61
Estimating Agricultural Soil Moisture Content through UAV-Based Hyperspectral Images in the Arid Region61
Accuracy Improvements to Pixel-Based and Object-Based LULC Classification with Auxiliary Datasets from Google Earth Engine61
Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon60
MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover60
Evaluation of Sentinel-2 and Landsat 8 Images for Estimating Chlorophyll-a Concentrations in Lake Chad, Africa60
Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review60
Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada60
Initial Assessment of the COSMIC-2/FORMOSAT-7 Neutral Atmosphere Data Quality in NESDIS/STAR Using In Situ and Satellite Data59
Efficient Identification and Monitoring of Landslides by Time-Series InSAR Combining Single- and Multi-Look Phases59
The Dimming of Lights in China during the COVID-19 Pandemic59
Crop Classification Method Based on Optimal Feature Selection and Hybrid CNN-RF Networks for Multi-Temporal Remote Sensing Imagery59
Semi-Supervised SAR Target Detection Based on an Improved Faster R-CNN59
An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification59
Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China59
Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets59
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks59
First Estimation of Global Trends in Nocturnal Power Emissions Reveals Acceleration of Light Pollution59
RAANet: A Residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images58
UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments58
N-YOLO: A SAR Ship Detection Using Noise-Classifying and Complete-Target Extraction58
Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-258
Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm58
Improving the Resolution of GRACE Data for Spatio-Temporal Groundwater Storage Assessment58
Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network58
Coupling Analysis of Ecosystem Services Value and Economic Development in the Yangtze River Economic Belt: A Case Study in Hunan Province, China58
RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images58
A Remotely Sensed Assessment of Surface Ecological Change over the Gomishan Wetland, Iran58
Automatic Detection of Pothole Distress in Asphalt Pavement Using Improved Convolutional Neural Networks58
Standoff Chemical Detection Using Laser Absorption Spectroscopy: A Review58
Spatial and Temporal Variation, Simulation and Prediction of Land Use in Ecological Conservation Area of Western Beijing58
On-Board Real-Time Ship Detection in HISEA-1 SAR Images Based on CFAR and Lightweight Deep Learning58
MRENet: Simultaneous Extraction of Road Surface and Road Centerline in Complex Urban Scenes from Very High-Resolution Images57
Accuracy, Bias, and Improvements in Mapping Crops and Cropland across the United States Using the USDA Cropland Data Layer57
High-Accuracy Detection of Maize Leaf Diseases CNN Based on Multi-Pathway Activation Function Module57
The Post-Failure Spatiotemporal Deformation of Certain Translational Landslides May Follow the Pre-Failure Pattern57
Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review57
NDVI Indicates Long-Term Dynamics of Vegetation and Its Driving Forces from Climatic and Anthropogenic Factors in Mongolian Plateau57
Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques56
MultEYE: Monitoring System for Real-Time Vehicle Detection, Tracking and Speed Estimation from UAV Imagery on Edge-Computing Platforms56
EANet: Edge-Aware Network for the Extraction of Buildings from Aerial Images56
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey56
Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey56
Global Land Surface Temperature Change (2003–2017) and Its Relationship with Climate Drivers: AIRS, MODIS, and ERA5-Land Based Analysis56
A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm56
Remote Sensing of Ocean Fronts in Marine Ecology and Fisheries56
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data56
Semi-Automatization of Support Vector Machines to Map Lithium (Li) Bearing Pegmatites55
Individual Tree-Crown Detection and Species Classification in Very High-Resolution Remote Sensing Imagery Using a Deep Learning Ensemble Model55
Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility55
A Satellite-Based High-Resolution (1-km) Ambient PM2.5 Database for India over Two Decades (2000–2019): Applications for Air Quality Management55
Assessing the Effect of Training Sampling Design on the Performance of Machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine55
Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images55
Remote Sensing Indices for Spatial Monitoring of Agricultural Drought in South Asian Countries55
Spatio-Temporal Changes and Driving Forces of Vegetation Coverage on the Loess Plateau of Northern Shaanxi55
Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning54
Wildfire Segmentation Using Deep Vision Transformers54
Comparison of Multi-Year Reanalysis, Models, and Satellite Remote Sensing Products for Agricultural Drought Monitoring over South Asian Countries54
Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation54
Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing54
Estimation of LAI with the LiDAR Technology: A Review54
Road Extraction from Very-High-Resolution Remote Sensing Images via a Nested SE-Deeplab Model54
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