Remote Sensing

Article	Citations
A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5	375
Digital Twin Technology Challenges and Applications: A Comprehensive Review	307
Vision Transformers for Remote Sensing Image Classification	305
Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019	268
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis	263
Review of Image Classification Algorithms Based on Convolutional Neural Networks	253
Spatial-Spectral Transformer for Hyperspectral Image Classification	235
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms	196
Remote Sensing in Agriculture—Accomplishments, Limitations, and Opportunities	176
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges	175
Deep Learning-Based Change Detection in Remote Sensing Images: A Review	165
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine	157
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms	148
Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)	145
Global Mangrove Extent Change 1996–2020: Global Mangrove Watch Version 3.0	141
Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images	137
BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images	137
Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection	136
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5	134
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5	130
Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin	129
Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis	126
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation	125
A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges	125
CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan	125

Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China	124
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review	122
Improved Transformer Net for Hyperspectral Image Classification	120
A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images	120
Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research	119
Spatial Variability and Temporal Heterogeneity of Surface Urban Heat Island Patterns and the Suitability of Local Climate Zones for Land Surface Temperature Characterization	118
A Systematic Literature Review on Crop Yield Prediction with Deep Learning and Remote Sensing	118
Efficient Transformer for Remote Sensing Image Segmentation	118
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover	116
Estimating the Characteristic Spatiotemporal Variation in Habitat Quality Using the InVEST Model—A Case Study from Guangdong–Hong Kong–Macao Greater Bay Area	115
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images	114
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR	114
Hand Gestures Recognition Using Radar Sensors for Human-Computer-Interaction: A Review	113
A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices	111
Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review	110
Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–2019	109
A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions	108
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data	107
Progress and Trends in the Application of Google Earth and Google Earth Engine	107
Swin-Transformer-Enabled YOLOv5 with Attention Mechanism for Small Object Detection on Satellite Images	107
CoralTemp and the Coral Reef Watch Coral Bleaching Heat Stress Product Suite Version 3.1	106
Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology	105
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth	103
UAV-Based Forest Health Monitoring: A Systematic Review	102
Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images	100
Improving YOLOv5 with Attention Mechanism for Detecting Boulders from Planetary Images	100
Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery	100
Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review	99
Application of Combining YOLO Models and 3D GPR Images in Road Detection and Maintenance	98
Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion	98
Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak	97
A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China	97
Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data	96
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications	96
Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case	95
A Technical Review of Planet Smallsat Data: Practical Considerations for Processing and Using PlanetScope Imagery	94
Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review	93
Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review	92
UAV-Based Remote Sensing Applications for Bridge Condition Assessment	92
Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images	91
Transformers in Remote Sensing: A Survey	91
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine	90
Thermal Imaging for Plant Stress Detection and Phenotyping	90
Digital Elevation Model Quality Assessment Methods: A Critical Review	90
Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR	90
Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters	89
An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends	88
An Overview on Visual SLAM: From Tradition to Semantic	88
Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods	88
A Review of Deep Learning in Multiscale Agricultural Sensing	87

Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review	87
Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series	87
Digital Elevation Models: Terminology and Definitions	86
Building Extraction from Remote Sensing Images with Sparse Token Transformers	86
A Review of Irrigation Information Retrievals from Space and Their Utility for Users	86
Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests	86
Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models	86
A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers	86
DR-Net: An Improved Network for Building Extraction from High Resolution Remote Sensing Image	85
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation	85
Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision	85
Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping	85
Photogrammetry Using UAV-Mounted GNSS RTK: Georeferencing Strategies without GCPs	84
TRS: Transformers for Remote Sensing Scene Classification	84
High-Speed Lightweight Ship Detection Algorithm Based on YOLO-V4 for Three-Channels RGB SAR Image	84
HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images	83
Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform	83
Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images	82
Application of the Random Forest Classifier to Map Irrigated Areas Using Google Earth Engine	81
Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision	81
An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products	81
Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors	81
Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques	81
Transformer with Transfer CNN for Remote-Sensing-Image Object Detection	81
Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data	81
Impacts of Drought and Climatic Factors on Vegetation Dynamics in the Yellow River Basin and Yangtze River Basin, China	81
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection	80
An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation	80
From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning	80
Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey	80
Deep Learning for Land Cover Change Detection	79
CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection	78
Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery	78
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data	78
Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case Study	78
Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images	78
Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future Land Use Changes in Hokkaido, Japan	77
Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China	77
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning	77
Measurement of Forest Inventory Parameters with Apple iPad Pro and Integrated LiDAR Technology	77
Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review	76
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms	76
Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review	75
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions	75
Advances in IoT and Smart Sensors for Remote Sensing and Agriculture Applications	75
Recent Advancement in Remote Sensing Technology for Hydrology Analysis and Water Resources Management	74
The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review	74
Crop Type and Land Cover Mapping in Northern Malawi Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data	73
UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications	73
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine	73
Spatial and Temporal Differences in Alpine Meadow, Alpine Steppe and All Vegetation of the Qinghai-Tibetan Plateau and Their Responses to Climate Change	72
ECAP-YOLO: Efficient Channel Attention Pyramid YOLO for Small Object Detection in Aerial Image	72
Estimating Agricultural Soil Moisture Content through UAV-Based Hyperspectral Images in the Arid Region	72
Accuracy Improvements to Pixel-Based and Object-Based LULC Classification with Auxiliary Datasets from Google Earth Engine	72
Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery	71
Improved Estimation of Winter Wheat Aboveground Biomass Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis	70
Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images	70
Deep Learning for SAR Ship Detection: Past, Present and Future	70
Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function	69
Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets	69
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 Images	68
Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park	68
Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques	68
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey	68
High-Accuracy Detection of Maize Leaf Diseases CNN Based on Multi-Pathway Activation Function Module	68
Dynamic Simulation of Land Use/Cover Change and Assessment of Forest Ecosystem Carbon Storage under Climate Change Scenarios in Guangdong Province, China	68
Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques	68
Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China	67
Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review	67
Efficient Identification and Monitoring of Landslides by Time-Series InSAR Combining Single- and Multi-Look Phases	67
Mapping Winter Crops Using a Phenology Algorithm, Time-Series Sentinel-2 and Landsat-7/8 Images, and Google Earth Engine	67
Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms	66
Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments	66
Forest Fire Risk Prediction: A Spatial Deep Neural Network-Based Framework	66
MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover	66
Consistency Analysis and Accuracy Assessment of Three Global 30-m Land-Cover Products over the European Union using the LUCAS Dataset	66
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks	66
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility	66
Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey	66
Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery	65

Remote Sensing of Ocean Fronts in Marine Ecology and Fisheries	64
Spatial and Temporal Variation, Simulation and Prediction of Land Use in Ecological Conservation Area of Western Beijing	64
Improving the Resolution of GRACE Data for Spatio-Temporal Groundwater Storage Assessment	64
Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2	64
RAANet: A Residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images	64
Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment	64
Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests	63
Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing	63
Accuracy, Bias, and Improvements in Mapping Crops and Cropland across the United States Using the USDA Cropland Data Layer	63
Initial Assessment of the COSMIC-2/FORMOSAT-7 Neutral Atmosphere Data Quality in NESDIS/STAR Using In Situ and Satellite Data	63
Global Land Surface Temperature Change (2003–2017) and Its Relationship with Climate Drivers: AIRS, MODIS, and ERA5-Land Based Analysis	63
The Post-Failure Spatiotemporal Deformation of Certain Translational Landslides May Follow the Pre-Failure Pattern	63
Automatic Detection of Pothole Distress in Asphalt Pavement Using Improved Convolutional Neural Networks	63
NDVI Indicates Long-Term Dynamics of Vegetation and Its Driving Forces from Climatic and Anthropogenic Factors in Mongolian Plateau	63
Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada	62
Estimation of LAI with the LiDAR Technology: A Review	62
Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review	62
N-YOLO: A SAR Ship Detection Using Noise-Classifying and Complete-Target Extraction	62
Comparison of Multi-Year Reanalysis, Models, and Satellite Remote Sensing Products for Agricultural Drought Monitoring over South Asian Countries	62
On-Board Real-Time Ship Detection in HISEA-1 SAR Images Based on CFAR and Lightweight Deep Learning	62
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data	62
Remote Sensing Indices for Spatial Monitoring of Agricultural Drought in South Asian Countries	62
RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images	62
A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years	62
MRENet: Simultaneous Extraction of Road Surface and Road Centerline in Complex Urban Scenes from Very High-Resolution Images	61
Spatio-Temporal Changes and Driving Forces of Vegetation Coverage on the Loess Plateau of Northern Shaanxi	61
Semi-Supervised SAR Target Detection Based on an Improved Faster R-CNN	61
First Estimation of Global Trends in Nocturnal Power Emissions Reveals Acceleration of Light Pollution	61
Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm	61
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 Engine	61
An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification	61
Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery	60
UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments	60
Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning	60
Coupling Analysis of Ecosystem Services Value and Economic Development in the Yangtze River Economic Belt: A Case Study in Hunan Province, China	60
Remote Sensing and Machine Learning in Crop Phenotyping and Management, with an Emphasis on Applications in Strawberry Farming	59
Estimating Aboveground Biomass Using Sentinel-2 MSI Data and Ensemble Algorithms for Grassland in the Shengjin Lake Wetland, China	59
A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm	59
GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan	59
A Satellite-Based High-Resolution (1-km) Ambient PM2.5 Database for India over Two Decades (2000–2019): Applications for Air Quality Management	59
Effects of Land Use/Cover on Regional Habitat Quality under Different Geomorphic Types Based on InVEST Model	59
Multi-Label Remote Sensing Image Scene Classification by Combining a Convolutional Neural Network and a Graph Neural Network	58
Small Object Detection Method Based on Adaptive Spatial Parallel Convolution and Fast Multi-Scale Fusion	58
Multi-Scale Ship Detection Algorithm Based on a Lightweight Neural Network for Spaceborne SAR Images	58
CCTNet: Coupled CNN and Transformer Network for Crop Segmentation of Remote Sensing Images	58
Advantages of Using UAV Digital Photogrammetry in the Study of Slow-Moving Coastal Landslides	58
CF2PN: A Cross-Scale Feature Fusion Pyramid Network Based Remote Sensing Target Detection	58
Construction and Application of a Knowledge Graph	58
Sparse Label Assignment for Oriented Object Detection in Aerial Images	57
The Development of A Rigorous Model for Bathymetric Mapping from Multispectral Satellite-Images	57
Integrating Remote Sensing and Landscape Characteristics to Estimate Soil Salinity Using Machine Learning Methods: A Case Study from Southern Xinjiang, China	57
A Practical Cross-View Image Matching Method between UAV and Satellite for UAV-Based Geo-Localization	57
Retrieval of Land-Use/Land Cover Change (LUCC) Maps and Urban Expansion Dynamics of Hyderabad, Pakistan via Landsat Datasets and Support Vector Machine Framework	57
Remote Sensing in Field Crop Monitoring: A Comprehensive Review of Sensor Systems, Data Analyses and Recent Advances	57
Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia	57
Wildfire Segmentation Using Deep Vision Transformers	57
Continental-Scale Land Cover Mapping at 10 m Resolution Over Europe (ELC10)	57
Sentinel-1 Big Data Processing with P-SBAS InSAR in the Geohazards Exploitation Platform: An Experiment on Coastal Land Subsidence and Landslides in Italy	57
MultEYE: Monitoring System for Real-Time Vehicle Detection, Tracking and Speed Estimation from UAV Imagery on Edge-Computing Platforms	57
CNN-Based Tree Species Classification Using High Resolution RGB Image Data from Automated UAV Observations	57
An Adaptive Attention Fusion Mechanism Convolutional Network for Object Detection in Remote Sensing Images	57
Semi-Supervised Learning for Seismic Impedance Inversion Using Generative Adversarial Networks	56
Estimation of Leaf Chlorophyll a, b and Carotenoid Contents and Their Ratios Using Hyperspectral Reflectance	56
Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images	56
Comparison of Support Vector Machines and Random Forests for Corine Land Cover Mapping	56
Wildfire-Detection Method Using DenseNet and CycleGAN Data Augmentation-Based Remote Camera Imagery	56
Autonomous, Onboard Vision-Based Trash and Litter Detection in Low Altitude Aerial Images Collected by an Unmanned Aerial Vehicle	56
Monitoring Bark Beetle Forest Damage in Central Europe. A Remote Sensing Approach Validated with Field Data	56
Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice	56
Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks	55
Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data	55
Looking for Change? Roll the Dice and Demand Attention	55
Landslide Detection and Mapping Based on SBAS-InSAR and PS-InSAR: A Case Study in Gongjue County, Tibet, China	55
Atmospheric Light Estimation Based Remote Sensing Image Dehazing	55
NDVI Dynamics and Its Response to Climate Change and Reforestation in Northern China	55
Soil Organic Matter Prediction Model with Satellite Hyperspectral Image Based on Optimized Denoising Method	55
A Comparison of UAV and Satellites Multispectral Imagery in Monitoring Onion Crop. An Application in the ‘Cipolla Rossa di Tropea’ (Italy)	55
Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping	55
Using Time Series Sentinel-1 Images for Object-Oriented Crop Classification in Google Earth Engine	55
Analysis of the Future Land Use Land Cover Changes in the Gaborone Dam Catchment Using CA-Markov Model: Implications on Water Resources	55
Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data	55
When Self-Supervised Learning Meets Scene Classification: Remote Sensing Scene Classification Based on a Multitask Learning Framework	54
Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach	54
Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models	54
High-Resolution Mangrove Forests Classification with Machine Learning Using Worldview and UAV Hyperspectral Data	54
Tree Species Classification and Health Status Assessment for a Mixed Broadleaf-Conifer Forest with UAS Multispectral Imaging	54
A Review of Crop Water Stress Assessment Using Remote Sensing	54
Mapping of Urban Vegetation with High-Resolution Remote Sensing: A Review	54
A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain	54
Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery	54
Combining Spectral and Texture Features of UAS-Based Multispectral Images for Maize Leaf Area Index Estimation	54
Geomatics and EO Data to Support Wildlife Diseases Assessment at Landscape Level: A Pilot Experience to Map Infectious Keratoconjunctivitis in Chamois and Phenological Trends in Aosta Valley (NW Italy	54
MS-Faster R-CNN: Multi-Stream Backbone for Improved Faster R-CNN Object Detection and Aerial Tracking from UAV Images	54
Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-Label	53
Hyperspectral Anomaly Detection Using Deep Learning: A Review	53