Remote Sensing

Article	Citations
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection	675
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine	607
Applications of Remote Sensing in Precision Agriculture: A Review	422
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture	405
A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5	334
Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges	308
Sentinel-2 Data for Land Cover/Use Mapping: A Review	295
Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series	279
Vision Transformers for Remote Sensing Image Classification	266
Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition	236
Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019	227
Digital Twin Technology Challenges and Applications: A Comprehensive Review	213
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends	212
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis	209
Spatial-Spectral Transformer for Hyperspectral Image Classification	205
Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review	194
Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review	178
Review: Deep Learning on 3D Point Clouds	173
Review of Image Classification Algorithms Based on Convolutional Neural Networks	169
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network	154
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review	154
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms	152
LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images	147
Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning	145
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation	144

Applications of UAV Thermal Imagery in Precision Agriculture: State of the Art and Future Research Outlook	143
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges	137
Remote Sensing of Grassland Production and Management—A Review	132
Deep Learning-Based Change Detection in Remote Sensing Images: A Review	131
Random Forest Spatial Interpolation	130
LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity	126
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine	126
Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)	126
Remote Sensing in Agriculture—Accomplishments, Limitations, and Opportunities	125
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5	124
Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches	123
Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection	122
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms	122
Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China	118
Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran	117
The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China	116
A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades	115
Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images	114
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation	112
CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan	108
Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data	107
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5	107
Improved Transformer Net for Hyperspectral Image Classification	107
Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin	106
BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images	106
Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery	105
Spatial Variability and Temporal Heterogeneity of Surface Urban Heat Island Patterns and the Suitability of Local Climate Zones for Land Surface Temperature Characterization	105
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications	102
Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation	102
Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis	101
Description of the UCAR/CU Soil Moisture Product	100
Status of Phenological Research Using Sentinel-2 Data: A Review	100
A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions	99
Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review	99
A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images	98
CoralTemp and the Coral Reef Watch Coral Bleaching Heat Stress Product Suite Version 3.1	97
Hand Gestures Recognition Using Radar Sensors for Human-Computer-Interaction: A Review	95
Efficient Transformer for Remote Sensing Image Segmentation	95
Global Mangrove Extent Change 1996–2020: Global Mangrove Watch Version 3.0	95
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	94
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review	94
A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices	93
CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images	92
Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology	91
Estimating the Characteristic Spatiotemporal Variation in Habitat Quality Using the InVEST Model—A Case Study from Guangdong–Hong Kong–Macao Greater Bay Area	91
The Evolution of Wide-Area DInSAR: From Regional and National Services to the European Ground Motion Service	91
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	90
Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research	90
Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data	90

A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth	89
Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak	88
A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges	88
HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images	88
Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery	88
Improving YOLOv5 with Attention Mechanism for Detecting Boulders from Planetary Images	87
Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine	87
A Systematic Literature Review on Crop Yield Prediction with Deep Learning and Remote Sensing	86
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications	85
Mixed 2D/3D Convolutional Network for Hyperspectral Image Super-Resolution	85
A Warming Mediterranean: 38 Years of Increasing Sea Surface Temperature	84
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR	84
A Review of the Sustainability Concept and the State of SDG Monitoring Using Remote Sensing	84
Swin-Transformer-Enabled YOLOv5 with Attention Mechanism for Small Object Detection on Satellite Images	83
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data	83
Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series	83
Investigating Detection of Floating Plastic Litter from Space Using Sentinel-2 Imagery	83
Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–2019	83
Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review	82
Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery	81
Application of Combining YOLO Models and 3D GPR Images in Road Detection and Maintenance	81
Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review	81
Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images	80
Spatiotemporal Variation of Vegetation on the Qinghai–Tibet Plateau and the Influence of Climatic Factors and Human Activities on Vegetation Trend (2000–2019)	80
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine	80
Digital Elevation Model Quality Assessment Methods: A Critical Review	80
UAV-Based Forest Health Monitoring: A Systematic Review	80
UAV-Based Remote Sensing Applications for Bridge Condition Assessment	79
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images	79
A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China	79
Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data	79
Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case	78
Progress and Trends in the Application of Google Earth and Google Earth Engine	78
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover	77
Photogrammetry Using UAV-Mounted GNSS RTK: Georeferencing Strategies without GCPs	77
YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images	77
DR-Net: An Improved Network for Building Extraction from High Resolution Remote Sensing Image	77
Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision	77
A Review of Irrigation Information Retrievals from Space and Their Utility for Users	77
Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks	77
High-Speed Lightweight Ship Detection Algorithm Based on YOLO-V4 for Three-Channels RGB SAR Image	76
Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review	76
Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests	76
Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks	76
Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion	75
Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data	75
Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors	75
Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters	75
A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers	75
Coastal Wetland Mapping Using Ensemble Learning Algorithms: A Comparative Study of Bagging, Boosting and Stacking Techniques	74
Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images	74
Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform	74
Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping	73
HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery	73
A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios	73
An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation	73
Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review	71
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data	71
Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR	71
Thermal Imaging for Plant Stress Detection and Phenotyping	71
Drone Image Segmentation Using Machine and Deep Learning for Mapping Raised Bog Vegetation Communities	70
A Review of Deep Learning in Multiscale Agricultural Sensing	70
Automatic Mapping of Landslides by the ResU-Net	70
The Use of LiDAR-Derived DEM in Flood Applications: A Review	70
Forest Inventory with Long Range and High-Speed Personal Laser Scanning (PLS) and Simultaneous Localization and Mapping (SLAM) Technology	70
A Technical Review of Planet Smallsat Data: Practical Considerations for Processing and Using PlanetScope Imagery	70
Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models	70
Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision	69
Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review	69
Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques	69
Transformer with Transfer CNN for Remote-Sensing-Image Object Detection	68
Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey	68
Air Pollution Scenario over China during COVID-19	68
Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case Study	68
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning	68
A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land Use Change Detection in Multi-Source Remote Sensing Datasets	67
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	67
Deep Learning for Land Cover Change Detection	67
Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review	67
Impacts of Drought and Climatic Factors on Vegetation Dynamics in the Yellow River Basin and Yangtze River Basin, China	67

Evaluation of the Spatiotemporal Variations in the Eco-environmental Quality in China Based on the Remote Sensing Ecological Index	67
TRS: Transformers for Remote Sensing Scene Classification	67
A Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data	67
Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery	67
Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function	65
Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China	65
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review	65
The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review	65
Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST)	64
Mapping Winter Crops Using a Phenology Algorithm, Time-Series Sentinel-2 and Landsat-7/8 Images, and Google Earth Engine	64
Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures	64
Digital Elevation Models: Terminology and Definitions	64
Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images	64
Mask R-CNN Refitting Strategy for Plant Counting and Sizing in UAV Imagery	64
Impacts of Drought on Vegetation Assessed by Vegetation Indices and Meteorological Factors in Afghanistan	64
Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series	64
An UAV and Satellite Multispectral Data Approach to Monitor Water Quality in Small Reservoirs	64
Accuracy Assessment of Digital Elevation Models (DEMs): A Critical Review of Practices of the Past Three Decades	64
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms	64
Meta-XGBoost for Hyperspectral Image Classification Using Extended MSER-Guided Morphological Profiles	64
Crop Type and Land Cover Mapping in Northern Malawi Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data	64
Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning	63
Recent Advancement in Remote Sensing Technology for Hydrology Analysis and Water Resources Management	63
Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn	63
UAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Points	63
A Machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery	63
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine	63
Spatial and Temporal Differences in Alpine Meadow, Alpine Steppe and All Vegetation of the Qinghai-Tibetan Plateau and Their Responses to Climate Change	63
An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends	63
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions	63
Rapid Flood Mapping and Evaluation with a Supervised Classifier and Change Detection in Shouguang Using Sentinel-1 SAR and Sentinel-2 Optical Data	62
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation	62
From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning	62
Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example	62
An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products	62
Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery	62
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection	61
Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review	61
Application of the Random Forest Classifier to Map Irrigated Areas Using Google Earth Engine	61
Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine	61
An Overview on Visual SLAM: From Tradition to Semantic	61
Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review	61
Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms	61
Few-Shot Classification of Aerial Scene Images via Meta-Learning	61
Evaluation of GPM-Era Satellite Precipitation Products on the Southern Slopes of the Central Himalayas Against Rain Gauge Data	61
CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection	61
Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks	61
Measurement of Forest Inventory Parameters with Apple iPad Pro and Integrated LiDAR Technology	61
Deep BLSTM-GRU Model for Monthly Rainfall Prediction: A Case Study of Simtokha, Bhutan	60
Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future Land Use Changes in Hokkaido, Japan	60
Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments	60
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility	60
Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon	59
Wheat Lodging Detection from UAS Imagery Using Machine Learning Algorithms	59
The Dimming of Lights in China during the COVID-19 Pandemic	59
Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods	59
Modelling High-Resolution Actual Evapotranspiration through Sentinel-2 and Sentinel-3 Data Fusion	59
Building Extraction from Remote Sensing Images with Sparse Token Transformers	59
Consistency Analysis and Accuracy Assessment of Three Global 30-m Land-Cover Products over the European Union using the LUCAS Dataset	59
Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada	59
Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment	58
ECAP-YOLO: Efficient Channel Attention Pyramid YOLO for Small Object Detection in Aerial Image	57
First Estimation of Global Trends in Nocturnal Power Emissions Reveals Acceleration of Light Pollution	57
Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm	57
Spatiotemporal Variation of Surface Urban Heat Islands in Relation to Land Cover Composition and Configuration: A Multi-Scale Case Study of Xi’an, China	57
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks	57
An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification	57
Spatial and Temporal Variation, Simulation and Prediction of Land Use in Ecological Conservation Area of Western Beijing	57
On-Board Real-Time Ship Detection in HISEA-1 SAR Images Based on CFAR and Lightweight Deep Learning	57
Semi-Supervised SAR Target Detection Based on an Improved Faster R-CNN	57
Improved Estimation of Winter Wheat Aboveground Biomass Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis	57
RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images	57
Advances in IoT and Smart Sensors for Remote Sensing and Agriculture Applications	57
Coupling Analysis of Ecosystem Services Value and Economic Development in the Yangtze River Economic Belt: A Case Study in Hunan Province, China	57
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	56
UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments	56
Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network	56
Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images	56
Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review	56
Efficient Identification and Monitoring of Landslides by Time-Series InSAR Combining Single- and Multi-Look Phases	56
UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications	56
N-YOLO: A SAR Ship Detection Using Noise-Classifying and Complete-Target Extraction	56
NDVI Indicates Long-Term Dynamics of Vegetation and Its Driving Forces from Climatic and Anthropogenic Factors in Mongolian Plateau	56
Crop Classification Method Based on Optimal Feature Selection and Hybrid CNN-RF Networks for Multi-Temporal Remote Sensing Imagery	56
Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images	56
Standoff Chemical Detection Using Laser Absorption Spectroscopy: A Review	56
Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park	56
Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2	56
Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China	55
Improving the Resolution of GRACE Data for Spatio-Temporal Groundwater Storage Assessment	55
Remote Sensing of Sea Surface Artificial Floating Plastic Targets with Sentinel-2 and Unmanned Aerial Systems (Plastic Litter Project 2019)	55
Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets	55
EANet: Edge-Aware Network for the Extraction of Buildings from Aerial Images	55
Initial Assessment of the COSMIC-2/FORMOSAT-7 Neutral Atmosphere Data Quality in NESDIS/STAR Using In Situ and Satellite Data	55
Evaluation of Sentinel-2 and Landsat 8 Images for Estimating Chlorophyll-a Concentrations in Lake Chad, Africa	55