Remote Sensing

Article	Citations
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection	642
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine	594
Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review	525
Applications of Remote Sensing in Precision Agriculture: A Review	396
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture	385
A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5	327
Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges	292
Sentinel-2 Data for Land Cover/Use Mapping: A Review	283
Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series	263
Vision Transformers for Remote Sensing Image Classification	257
Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition	228
Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019	222
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends	210
Digital Twin Technology Challenges and Applications: A Comprehensive Review	201
Spatial-Spectral Transformer for Hyperspectral Image Classification	197
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis	196
Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review	182
Review: Deep Learning on 3D Point Clouds	171
Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review	171
ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD)	157
Review of Image Classification Algorithms Based on Convolutional Neural Networks	150
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review	147
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network	146
LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images	144
Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning	142

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation	142
Applications of UAV Thermal Imagery in Precision Agriculture: State of the Art and Future Research Outlook	141
An Overview of Platforms for Big Earth Observation Data Management and Analysis	140
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms	140
Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning	136
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges	132
Remote Sensing of Grassland Production and Management—A Review	130
Deep Learning-Based Change Detection in Remote Sensing Images: A Review	126
LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity	123
Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)	122
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5	121
Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection	119
Random Forest Spatial Interpolation	119
Remote Sensing in Agriculture—Accomplishments, Limitations, and Opportunities	118
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms	118
The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China	116
Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches	116
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine	116
Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran	116
Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China	113
A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades	113
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation	110
Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images	109
A Review of Remote Sensing for Environmental Monitoring in China	105
CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan	105
Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery	104
Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data	103
Improved Transformer Net for Hyperspectral Image Classification	103
Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin	103
Spatial Variability and Temporal Heterogeneity of Surface Urban Heat Island Patterns and the Suitability of Local Climate Zones for Land Surface Temperature Characterization	102
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications	101
BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images	101
Description of the UCAR/CU Soil Moisture Product	99
Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation	99
Status of Phenological Research Using Sentinel-2 Data: A Review	98
A Soil Erosion Indicator for Supporting Agricultural, Environmental and Climate Policies in the European Union	96
Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis	96
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5	95
A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions	95
CoralTemp and the Coral Reef Watch Coral Bleaching Heat Stress Product Suite Version 3.1	95
Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review	94
A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images	94
An Improved Res-UNet Model for Tree Species Classification Using Airborne High-Resolution Images	94
Building Extraction Based on U-Net with an Attention Block and Multiple Losses	94
Hand Gestures Recognition Using Radar Sensors for Human-Computer-Interaction: A Review	93
Efficient Transformer for Remote Sensing Image Segmentation	92
Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States	92
CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images	91
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review	91
A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices	91

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 Prefecture	91
Review of Satellite Interferometry for Landslide Detection in Italy	91
Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology	90
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran	90
Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net	89
Application of Landsat-8, Sentinel-2, ASTER and WorldView-3 Spectral Imagery for Exploration of Carbonate-Hosted Pb-Zn Deposits in the Central Iranian Terrane (CIT)	89
Estimating the Characteristic Spatiotemporal Variation in Habitat Quality Using the InVEST Model—A Case Study from Guangdong–Hong Kong–Macao Greater Bay Area	88
The Evolution of Wide-Area DInSAR: From Regional and National Services to the European Ground Motion Service	88
Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research	87
Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data	87
Global Mangrove Extent Change 1996–2020: Global Mangrove Watch Version 3.0	87
Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques	86
Landslide Mapping and Monitoring Using Persistent Scatterer Interferometry (PSI) Technique in the French Alps	86
Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak	86
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth	85
Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery	84
Improving YOLOv5 with Attention Mechanism for Detecting Boulders from Planetary Images	84
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications	84
A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges	83
Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine	83
HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images	83
Investigating Detection of Floating Plastic Litter from Space Using Sentinel-2 Imagery	83
A Warming Mediterranean: 38 Years of Increasing Sea Surface Temperature	83
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data	82
Mixed 2D/3D Convolutional Network for Hyperspectral Image Super-Resolution	82
A Systematic Literature Review on Crop Yield Prediction with Deep Learning and Remote Sensing	81
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR	81
A Review of the Sustainability Concept and the State of SDG Monitoring Using Remote Sensing	81
Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series	80
Machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS	80
Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review	80
Swin-Transformer-Enabled YOLOv5 with Attention Mechanism for Small Object Detection on Satellite Images	80
Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery	80
Spatiotemporal Variation of Vegetation on the Qinghai–Tibet Plateau and the Influence of Climatic Factors and Human Activities on Vegetation Trend (2000–2019)	79
Digital Elevation Model Quality Assessment Methods: A Critical Review	79
Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data	79
Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review	78
Application of Combining YOLO Models and 3D GPR Images in Road Detection and Maintenance	77
UAV-Based Remote Sensing Applications for Bridge Condition Assessment	77
Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case	77
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images	76
Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–2019	76
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine	76
YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images	76
A Review of Irrigation Information Retrievals from Space and Their Utility for Users	76
A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China	76
UAV-Based Forest Health Monitoring: A Systematic Review	75
Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks	75
Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion	75
Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images	74
Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks	74
Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision	74
Coastal Wetland Mapping Using Ensemble Learning Algorithms: A Comparative Study of Bagging, Boosting and Stacking Techniques	73
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification	73
Photogrammetry Using UAV-Mounted GNSS RTK: Georeferencing Strategies without GCPs	73
Comparison of Machine Learning Methods for Estimating Mangrove Above-Ground Biomass Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam	73
Progress and Trends in the Application of Google Earth and Google Earth Engine	73
DR-Net: An Improved Network for Building Extraction from High Resolution Remote Sensing Image	72
High-Speed Lightweight Ship Detection Algorithm Based on YOLO-V4 for Three-Channels RGB SAR Image	72
A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios	72
Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters	72
A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers	72
An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation	72
Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests	71
Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform	71
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover	70
Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data	70
A Technical Review of Planet Smallsat Data: Practical Considerations for Processing and Using PlanetScope Imagery	70
Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors	70
Forest Inventory with Long Range and High-Speed Personal Laser Scanning (PLS) and Simultaneous Localization and Mapping (SLAM) Technology	70
Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping	70
Thermal Imaging for Plant Stress Detection and Phenotyping	70
Drone Image Segmentation Using Machine and Deep Learning for Mapping Raised Bog Vegetation Communities	69
Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review	69
Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models	69
Above-Ground Biomass Retrieval over Tropical Forests: A Novel GNSS-R Approach with CyGNSS	68
Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques	68
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data	68
Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images	68
Air Pollution Scenario over China during COVID-19	68

Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review	68
Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision	68
Tree Crown Delineation Algorithm Based on a Convolutional Neural Network	68
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning	67
HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery	67
A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land Use Change Detection in Multi-Source Remote Sensing Datasets	66
Deep Learning for Land Cover Change Detection	66
Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case Study	66
Identification of Wheat Yellow Rust Using Spectral and Texture Features of Hyperspectral Images	66
Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review	66
Automatic Mapping of Landslides by the ResU-Net	66
A Review of Deep Learning in Multiscale Agricultural Sensing	66
TRS: Transformers for Remote Sensing Scene Classification	65
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 Accuracies	65
Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function	65
The Use of LiDAR-Derived DEM in Flood Applications: A Review	65
Transformer with Transfer CNN for Remote-Sensing-Image Object Detection	65
Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR	65
Evaluation of the Spatiotemporal Variations in the Eco-environmental Quality in China Based on the Remote Sensing Ecological Index	64
A Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data	64
Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures	64
Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery	64
Accuracy Assessment of Digital Elevation Models (DEMs): A Critical Review of Practices of the Past Three Decades	63
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms	63
Recent Advancement in Remote Sensing Technology for Hydrology Analysis and Water Resources Management	63
Digital Elevation Models: Terminology and Definitions	63
Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST)	63
Impacts of Drought and Climatic Factors on Vegetation Dynamics in the Yellow River Basin and Yangtze River Basin, China	63
Meta-XGBoost for Hyperspectral Image Classification Using Extended MSER-Guided Morphological Profiles	63
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review	63
Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images	63
Impacts of Drought on Vegetation Assessed by Vegetation Indices and Meteorological Factors in Afghanistan	63
Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China	63
Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review	62
Mask R-CNN Refitting Strategy for Plant Counting and Sizing in UAV Imagery	62
Deep Discriminative Representation Learning with Attention Map for Scene Classification	62
An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends	62
The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review	62
A Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images	62
UAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Points	62
Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery	62
Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey	62
Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn	62
An UAV and Satellite Multispectral Data Approach to Monitor Water Quality in Small Reservoirs	62
Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning	62
Mapping Winter Crops Using a Phenology Algorithm, Time-Series Sentinel-2 and Landsat-7/8 Images, and Google Earth Engine	62
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine	62
Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series	62
Evaluation of GPM-Era Satellite Precipitation Products on the Southern Slopes of the Central Himalayas Against Rain Gauge Data	61
Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine	61
Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review	61
Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example	61
An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products	60
A Machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery	60
Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments	60
Deep BLSTM-GRU Model for Monthly Rainfall Prediction: A Case Study of Simtokha, Bhutan	60
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions	60
Crop Type and Land Cover Mapping in Northern Malawi Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data	60
From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning	60
CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection	59
Modelling High-Resolution Actual Evapotranspiration through Sentinel-2 and Sentinel-3 Data Fusion	59
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility	59
Spatial and Temporal Differences in Alpine Meadow, Alpine Steppe and All Vegetation of the Qinghai-Tibetan Plateau and Their Responses to Climate Change	59
Very High Density Point Clouds from UAV Laser Scanning for Automatic Tree Stem Detection and Direct Diameter Measurement	59
Measurement of Forest Inventory Parameters with Apple iPad Pro and Integrated LiDAR Technology	59
Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future Land Use Changes in Hokkaido, Japan	59
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation	59
Few-Shot Classification of Aerial Scene Images via Meta-Learning	59
Consistency Analysis and Accuracy Assessment of Three Global 30-m Land-Cover Products over the European Union using the LUCAS Dataset	58
Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms	58
Unmanned Aerial Vehicles for Debris Survey in Coastal Areas: Long-Term Monitoring Programme to Study Spatial and Temporal Accumulation of the Dynamics of Beached Marine Litter	58
Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon	58
Rapid Flood Mapping and Evaluation with a Supervised Classifier and Change Detection in Shouguang Using Sentinel-1 SAR and Sentinel-2 Optical Data	58
Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada	58
Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review	58
Application of the Random Forest Classifier to Map Irrigated Areas Using Google Earth Engine	58
Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks	58
Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment	57
Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm	57
Radar Interferometry: 20 Years of Development in Time Series Techniques and Future Perspectives	57
The Dimming of Lights in China during the COVID-19 Pandemic	56
RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images	56
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection	56
Spatiotemporal Variation of Surface Urban Heat Islands in Relation to Land Cover Composition and Configuration: A Multi-Scale Case Study of Xi’an, China	56
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks	56
Building Extraction from Remote Sensing Images with Sparse Token Transformers	56
An Overview on Visual SLAM: From Tradition to Semantic	56
Coupling Analysis of Ecosystem Services Value and Economic Development in the Yangtze River Economic Belt: A Case Study in Hunan Province, China	56
Improved Estimation of Winter Wheat Aboveground Biomass Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis	56
Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2	56
Efficient Identification and Monitoring of Landslides by Time-Series InSAR Combining Single- and Multi-Look Phases	56
N-YOLO: A SAR Ship Detection Using Noise-Classifying and Complete-Target Extraction	56
Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?	55
First Estimation of Global Trends in Nocturnal Power Emissions Reveals Acceleration of Light Pollution	55
ECAP-YOLO: Efficient Channel Attention Pyramid YOLO for Small Object Detection in Aerial Image	55