Remote Sensing

Papers
(The TQCC of Remote Sensing is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-11-01 to 2023-11-01.)
ArticleCitations
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine494
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection475
Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review430
Copernicus Global Land Cover Layers—Collection 2324
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture303
Applications of Remote Sensing in Precision Agriculture: A Review296
A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5258
Sentinel-2 Data for Land Cover/Use Mapping: A Review232
Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges231
Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series224
Vision Transformers for Remote Sensing Image Classification199
Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network195
Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition193
Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation193
Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019175
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends175
Overall Methodology Design for the United States National Land Cover Database 2016 Products175
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier175
LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor163
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models162
Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review151
Spatial-Spectral Transformer for Hyperspectral Image Classification146
Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review144
Review: Deep Learning on 3D Point Clouds139
Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis137
ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD)135
Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China134
Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques132
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis132
Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning127
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation127
Digital Twin Technology Challenges and Applications: A Comprehensive Review126
PGA-SiamNet: Pyramid Feature-Based Attention-Guided Siamese Network for Remote Sensing Orthoimagery Building Change Detection126
BRRNet: A Fully Convolutional Neural Network for Automatic Building Extraction From High-Resolution Remote Sensing Images123
The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses123
Current Practices in UAS-based Environmental Monitoring123
Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery122
Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities122
Applications of UAV Thermal Imagery in Precision Agriculture: State of the Art and Future Research Outlook121
A Novel Ensemble Approach for Landslide Susceptibility Mapping (LSM) in Darjeeling and Kalimpong Districts, West Bengal, India120
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review120
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network118
Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models118
LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images118
Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning117
Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning117
Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping117
An Overview of Platforms for Big Earth Observation Data Management and Analysis116
Remote Sensing of Grassland Production and Management—A Review114
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms114
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges113
The InVEST Habitat Quality Model Associated with Land Use/Cover Changes: A Qualitative Case Study of the Winike Watershed in the Omo-Gibe Basin, Southwest Ethiopia112
The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China112
Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran110
LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity109
Mapping Three Decades of Changes in the Brazilian Savanna Native Vegetation Using Landsat Data Processed in the Google Earth Engine Platform108
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms108
Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data107
Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks105
A Review of the Applications of Remote Sensing in Fire Ecology103
Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data102
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage102
Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)102
Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran99
Random Forest Spatial Interpolation98
Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System98
Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle97
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation97
Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas97
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv596
Spatial and Temporal Characteristics of Vegetation NDVI Changes and the Driving Forces in Mongolia during 1982–201595
Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space95
Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada94
New Evidence of Mediterranean Climate Change and Variability from Sea Surface Temperature Observations94
Remote Sensing in Agriculture—Accomplishments, Limitations, and Opportunities93
Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images93
Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches92
A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades92
Spatial Variability and Temporal Heterogeneity of Surface Urban Heat Island Patterns and the Suitability of Local Climate Zones for Land Surface Temperature Characterization92
Deep Relation Network for Hyperspectral Image Few-Shot Classification92
Hyperspectral Classification of Plants: A Review of Waveband Selection Generalisability92
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications91
The Impact of Urban Renewal on Land Surface Temperature Changes: A Case Study in the Main City of Guangzhou, China90
Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation90
Review of Image Classification Algorithms Based on Convolutional Neural Networks90
Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection89
CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan89
Precise and Robust Ship Detection for High-Resolution SAR Imagery Based on HR-SDNet88
Description of the UCAR/CU Soil Moisture Product86
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran86
Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar86
Structural Building Damage Detection with Deep Learning: Assessment of a State-of-the-Art CNN in Operational Conditions86
Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images86
Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion86
Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery86
A Soil Erosion Indicator for Supporting Agricultural, Environmental and Climate Policies in the European Union86
Status of Phenological Research Using Sentinel-2 Data: A Review85
Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin84
Integration of DInSAR and SBAS Techniques to Determine Mining-Related Deformations Using Sentinel-1 Data: The Case Study of Rydułtowy Mine in Poland84
Mask OBB: A Semantic Attention-Based Mask Oriented Bounding Box Representation for Multi-Category Object Detection in Aerial Images83
Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States83
Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data82
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine82
Predicting Wheat Yield at the Field Scale by Combining High-Resolution Sentinel-2 Satellite Imagery and Crop Modelling81
A Review of Remote Sensing for Environmental Monitoring in China81
CoralTemp and the Coral Reef Watch Coral Bleaching Heat Stress Product Suite Version 3.181
Review of Satellite Interferometry for Landslide Detection in Italy81
Quality Assessment of PROBA-V LAI, fAPAR and fCOVER Collection 300 m Products of Copernicus Global Land Service81
Improved Transformer Net for Hyperspectral Image Classification80
Landslide Mapping and Monitoring Using Persistent Scatterer Interferometry (PSI) Technique in the French Alps80
Land Use/Land Cover Change (2000–2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series80
Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review79
An Improved Res-UNet Model for Tree Species Classification Using Airborne High-Resolution Images79
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)78
Deep Learning-Based Change Detection in Remote Sensing Images: A Review78
Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China78
Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net77
Comparative Research on Deep Learning Approaches for Airplane Detection from Very High-Resolution Satellite Images77
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 Prefecture77
Building Extraction Based on U-Net with an Attention Block and Multiple Losses77
Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis76
A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices76
How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery?76
Detection of Collapsed Buildings in Post-Earthquake Remote Sensing Images Based on the Improved YOLOv376
Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data76
Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects76
Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology75
Hyperspectral Measurements Enable Pre-Symptomatic Detection and Differentiation of Contrasting Physiological Effects of Late Blight and Early Blight in Potato75
Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine75
Sea Surface Wind Speed Retrieval from the First Chinese GNSS-R Mission: Technique and Preliminary Results75
The Evolution of Wide-Area DInSAR: From Regional and National Services to the European Ground Motion Service75
Evaluation of UAV LiDAR for Mapping Coastal Environments74
Monitoring Within-Field Variability of Corn Yield using Sentinel-2 and Machine Learning Techniques74
RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images74
A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions74
Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images74
Machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS73
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv573
Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak73
Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks73
Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques73
Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery73
Efficient Transformer for Remote Sensing Image Segmentation72
Mixed 2D/3D Convolutional Network for Hyperspectral Image Super-Resolution72
Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series72
Automatic Land-Cover Mapping using Landsat Time-Series Data based on Google Earth Engine72
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications72
Estimating the Characteristic Spatiotemporal Variation in Habitat Quality Using the InVEST Model—A Case Study from Guangdong–Hong Kong–Macao Greater Bay Area72
Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery71
Enabling the Big Earth Observation Data via Cloud Computing and DGGS: Opportunities and Challenges71
Dimensionality Reduction and Feature Selection for Object-Based Land Cover Classification based on Sentinel-1 and Sentinel-2 Time Series Using Google Earth Engine70
Improving YOLOv5 with Attention Mechanism for Detecting Boulders from Planetary Images70
CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images70
Spatiotemporal Variation of Vegetation on the Qinghai–Tibet Plateau and the Influence of Climatic Factors and Human Activities on Vegetation Trend (2000–2019)69
Hand Gestures Recognition Using Radar Sensors for Human-Computer-Interaction: A Review69
Remote Sensing of River Discharge: A Review and a Framing for the Discipline69
Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model69
Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series—A Case Study in Zhanjiang, China69
Recognition of Banana Fusarium Wilt Based on UAV Remote Sensing69
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth69
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification68
A Review of the Sustainability Concept and the State of SDG Monitoring Using Remote Sensing68
Digital Elevation Model Quality Assessment Methods: A Critical Review68
Concept and Performance Evaluation of a Novel UAV-Borne Topo-Bathymetric LiDAR Sensor68
Investigating Detection of Floating Plastic Litter from Space Using Sentinel-2 Imagery68
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks68
Quantifying Western U.S. Rangelands as Fractional Components with Multi-Resolution Remote Sensing and In Situ Data67
Evaluation of GPM-era Global Satellite Precipitation Products over Multiple Complex Terrain Regions67
A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements67
Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform66
A Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems66
Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach66
Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research66
A Deep Convolutional Neural Network for Oil Spill Detection from Spaceborne SAR Images66
Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery65
Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review65
Coastal Wetland Mapping Using Ensemble Learning Algorithms: A Comparative Study of Bagging, Boosting and Stacking Techniques64
Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case64
Comparison of Support Vector Machine and Random Forest Algorithms for Invasive and Expansive Species Classification Using Airborne Hyperspectral Data64
Simple Yet Effective Fine-Tuning of Deep CNNs Using an Auxiliary Classification Loss for Remote Sensing Scene Classification64
Air Pollution Scenario over China during COVID-1964
Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review63
An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion63
HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images63
A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios63
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data63
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review63
UAV-Based Remote Sensing Applications for Bridge Condition Assessment63
BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images63
DR-Net: An Improved Network for Building Extraction from High Resolution Remote Sensing Image62
High-Speed Lightweight Ship Detection Algorithm Based on YOLO-V4 for Three-Channels RGB SAR Image62
Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks62
Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods62
Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–201962
Primary Production, an Index of Climate Change in the Ocean: Satellite-Based Estimates over Two Decades62
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning62
Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks62
Comparison of Machine Learning Methods for Estimating Mangrove Above-Ground Biomass Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam61
Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion61
Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision61
Evaluation of Backscattering Models and Support Vector Machine for the Retrieval of Bare Soil Moisture from Sentinel-1 Data61
A Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for Change Detection Based on Multi-sensor Remote Sensing Images61
Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function61
Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches61
Crop Classification Based on Temporal Signatures of Sentinel-1 Observations over Navarre Province, Spain61
Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests61
A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages61
A Warming Mediterranean: 38 Years of Increasing Sea Surface Temperature60
Ecological Risk Assessment and Impact Factor Analysis of Alpine Wetland Ecosystem Based on LUCC and Boosted Regression Tree on the Zoige Plateau, China60
Mapping the Land Cover of Africa at 10 m Resolution from Multi-Source Remote Sensing Data with Google Earth Engine60
Spatiotemporal Dynamics and Driving Forces of Urban Land-Use Expansion: A Case Study of the Yangtze River Economic Belt, China60
A Review of Irrigation Information Retrievals from Space and Their Utility for Users60
Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors60
Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks60
Above-Ground Biomass Retrieval over Tropical Forests: A Novel GNSS-R Approach with CyGNSS59
Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery59
YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images59
Evaluation of GPM-Era Satellite Precipitation Products on the Southern Slopes of the Central Himalayas Against Rain Gauge Data59
A Remote Sensing-Based Application of Bayesian Networks for Epithermal Gold Potential Mapping in Ahar-Arasbaran Area, NW Iran59
Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review59
A High-Resolution Global Map of Giant Kelp (Macrocystis pyrifera) Forests and Intertidal Green Algae (Ulvophyceae) with Sentinel-2 Imagery59
Impacts of Drought on Vegetation Assessed by Vegetation Indices and Meteorological Factors in Afghanistan59
Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training58
Using Earth Observation for Monitoring SDG 11.3.1-Ratio of Land Consumption Rate to Population Growth Rate in Mainland China58
Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data58
Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China58
Identification of Wheat Yellow Rust Using Spectral and Texture Features of Hyperspectral Images58
Deep Learning for Land Cover Change Detection58
Tree Crown Delineation Algorithm Based on a Convolutional Neural Network58
A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images58
Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps58
Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping58
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine58
Detection of Maize Tassels from UAV RGB Imagery with Faster R-CNN58
An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems58
Detection of Fusarium Head Blight in Wheat Using a Deep Neural Network and Color Imaging58
HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery57
Forest Inventory with Long Range and High-Speed Personal Laser Scanning (PLS) and Simultaneous Localization and Mapping (SLAM) Technology57
Photogrammetry Using UAV-Mounted GNSS RTK: Georeferencing Strategies without GCPs57
Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission57
Application of Combining YOLO Models and 3D GPR Images in Road Detection and Maintenance57
Automatic Mapping of Landslides by the ResU-Net57
CSA-MSO3DCNN: Multiscale Octave 3D CNN with Channel and Spatial Attention for Hyperspectral Image Classification57
A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand56
Review: Cost-Effective Unmanned Aerial Vehicle (UAV) Platform for Field Plant Breeding Application56
Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters56
Soil Organic Carbon Mapping Using Multispectral Remote Sensing Data: Prediction Ability of Data with Different Spatial and Spectral Resolutions56
Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran)56
The Use of LiDAR-Derived DEM in Flood Applications: A Review56
A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers56
Global Changes in Urban Vegetation Cover56
A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land Use Change Detection in Multi-Source Remote Sensing Datasets55
EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images55
Mapping Winter Crops Using a Phenology Algorithm, Time-Series Sentinel-2 and Landsat-7/8 Images, and Google Earth Engine55
Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images55
Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST)55
Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques55
Thermal Imaging for Plant Stress Detection and Phenotyping55
Drone Image Segmentation Using Machine and Deep Learning for Mapping Raised Bog Vegetation Communities55
UAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Points55
Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision55
The Temporal Dynamics of Slums Employing a CNN-Based Change Detection Approach55
Estimating Mangrove Above-Ground Biomass Using Extreme Gradient Boosting Decision Trees Algorithm with Fused Sentinel-2 and ALOS-2 PALSAR-2 Data in Can Gio Biosphere Reserve, Vietnam55
Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models54
HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery54
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images53
Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example53
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 Accuracies53
Preliminary Results from a Wildfire Detection System Using Deep Learning on Remote Camera Images53
A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China53
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility53
Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning53
Deep Discriminative Representation Learning with Attention Map for Scene Classification53
Evaluation of the Spatiotemporal Variations in the Eco-environmental Quality in China Based on the Remote Sensing Ecological Index53
Modelling High-Resolution Actual Evapotranspiration through Sentinel-2 and Sentinel-3 Data Fusion53
Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq53
Accuracy Assessment of Digital Elevation Models (DEMs): A Critical Review of Practices of the Past Three Decades53
Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China53
Recent Advancement in Remote Sensing Technology for Hydrology Analysis and Water Resources Management53
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data53
Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery53
An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products52
Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images52
Cross-Comparison between Landsat 8 (OLI) and Landsat 7 (ETM+) Derived Vegetation Indices in a Mediterranean Environment52
Temporal Anomalies in Burned Area Trends: Satellite Estimations of the Amazonian 2019 Fire Crisis52
Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR52
Axis Learning for Orientated Objects Detection in Aerial Images52
Very High Density Point Clouds from UAV Laser Scanning for Automatic Tree Stem Detection and Direct Diameter Measurement52
The Optimal Threshold and Vegetation Index Time Series for Retrieving Crop Phenology Based on a Modified Dynamic Threshold Method52
Meta-XGBoost for Hyperspectral Image Classification Using Extended MSER-Guided Morphological Profiles52
Harmonization of Landsat and Sentinel 2 for Crop Monitoring in Drought Prone Areas: Case Studies of Ninh Thuan (Vietnam) and Bekaa (Lebanon)52
Review and Evaluation of Deep Learning Architectures for Efficient Land Cover Mapping with UAS Hyper-Spatial Imagery: A Case Study Over a Wetland52
Predicting Forage Quality of Grasslands Using UAV-Borne Imaging Spectroscopy52
A Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data52
The Dimming of Lights in China during the COVID-19 Pandemic52
Global Mangrove Extent Change 1996–2020: Global Mangrove Watch Version 3.052
A Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images51
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 Images51
Mask R-CNN Refitting Strategy for Plant Counting and Sizing in UAV Imagery51
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms51
Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine51
From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage51
Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon51
TRS: Transformers for Remote Sensing Scene Classification51
A Machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery51
Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?51
Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures51
Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-251
Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep Learning and Transfer Learning51
Deep Learning-Based Drivers Emotion Classification System in Time Series Data for Remote Applications51
Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment51
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks51
Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review51
A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm50
Assessment of Portable Chlorophyll Meters for Measuring Crop Leaf Chlorophyll Concentration50
Water Identification from High-Resolution Remote Sensing Images Based on Multidimensional Densely Connected Convolutional Neural Networks50
Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China50
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 Litter50
The High-Performance Airborne Imaging Spectrometer HyPlant—From Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing Chain50
Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review50
Nonlocal CNN SAR Image Despeckling50
Few-Shot Classification of Aerial Scene Images via Meta-Learning50
Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility50
Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments50
Progress and Trends in the Application of Google Earth and Google Earth Engine50
Performance Assessment of ICESat-2 Laser Altimeter Data for Water-Level Measurement over Lakes and Reservoirs in China50
UAV-Based Forest Health Monitoring: A Systematic Review50
Evaluation of Evapotranspiration for Exorheic Catchments of China during the GRACE Era: From a Water Balance Perspective50
From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning49
Radar Interferometry: 20 Years of Development in Time Series Techniques and Future Perspectives49
Application of the Random Forest Classifier to Map Irrigated Areas Using Google Earth Engine49
Impacts of Drought and Climatic Factors on Vegetation Dynamics in the Yellow River Basin and Yangtze River Basin, China49
MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover49
Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case Study49
Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review49
Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review49
Spatial and Temporal Differences in Alpine Meadow, Alpine Steppe and All Vegetation of the Qinghai-Tibetan Plateau and Their Responses to Climate Change49
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation49
Assessing Soil Erosion Hazards Using Land-Use Change and Landslide Frequency Ratio Method: A Case Study of Sabaragamuwa Province, Sri Lanka49
An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations49
A Review of Deep Learning in Multiscale Agricultural Sensing49
A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges49
Swin-Transformer-Enabled YOLOv5 with Attention Mechanism for Small Object Detection on Satellite Images49
Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future Land Use Changes in Hokkaido, Japan49
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR49
Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks49
Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn49
Digital Elevation Models: Terminology and Definitions49
Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China48
Evaluation of Atmospheric Correction Algorithms for Sentinel-2-MSI and Sentinel-3-OLCI in Highly Turbid Estuarine Waters48
EANet: Edge-Aware Network for the Extraction of Buildings from Aerial Images48
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine48
Downscaling of GRACE-Derived Groundwater Storage Based on the Random Forest Model48
RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images48
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover48
Semi-Automatization of Support Vector Machines to Map Lithium (Li) Bearing Pegmatites48
Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images48
Coupling Analysis of Ecosystem Services Value and Economic Development in the Yangtze River Economic Belt: A Case Study in Hunan Province, China48
Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms48
Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation48
Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images48
Object Detection in UAV Images via Global Density Fused Convolutional Network48
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 Learning48
Deep BLSTM-GRU Model for Monthly Rainfall Prediction: A Case Study of Simtokha, Bhutan48
Semi-Supervised SAR Target Detection Based on an Improved Faster R-CNN48
Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada48
Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data48
An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification48
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions47
Estimating Maize Above-Ground Biomass Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial Scales47
Stochastic Remote Sensing Event Classification over Adaptive Posture Estimation via Multifused Data and Deep Belief Network47
Tree, Shrub, and Grass Classification Using Only RGB Images47
Delineation of Agricultural Field Boundaries from Sentinel-2 Images Using a Novel Super-Resolution Contour Detector Based on Fully Convolutional Networks47
Multi-Scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions47
Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network47
Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks47
Building Extraction from Remote Sensing Images with Sparse Token Transformers47
Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning47
Temporal Patterns in Illumination Conditions and Its Effect on Vegetation Indices Using Landsat on Google Earth Engine47
Imbalanced Learning in Land Cover Classification: Improving Minority Classes’ Prediction Accuracy Using the Geometric SMOTE Algorithm47
Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review47
Proposing a Novel Predictive Technique for Gully Erosion Susceptibility Mapping in Arid and Semi-arid Regions (Iran)47
Evaluation of Sentinel-2 and Landsat 8 Images for Estimating Chlorophyll-a Concentrations in Lake Chad, Africa47
Morphometric Analysis for Soil Erosion Susceptibility Mapping Using Novel GIS-Based Ensemble Model47
Improved Estimation of Winter Wheat Aboveground Biomass Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis47
An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation47
A Methodology for Comparing the Surface Urban Heat Island in Selected Urban Agglomerations Around the World from Sentinel-3 SLSTR Data47
Initial Assessment of the COSMIC-2/FORMOSAT-7 Neutral Atmosphere Data Quality in NESDIS/STAR Using In Situ and Satellite Data47
An Analysis of Long-Term Rainfall Trends and Variability in the Uttarakhand Himalaya Using Google Earth Engine47
Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar47
Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data47
Comparison of Different Machine Learning Methods for Debris Flow Susceptibility Mapping: A Case Study in the Sichuan Province, China46
Hyperspectral Estimation of Soil Organic Matter Content using Different Spectral Preprocessing Techniques and PLSR Method46
Quantifying Marine Macro Litter Abundance on a Sandy Beach Using Unmanned Aerial Systems and Object-Oriented Machine Learning Methods46
Remote Sensing of Sea Surface Artificial Floating Plastic Targets with Sentinel-2 and Unmanned Aerial Systems (Plastic Litter Project 2019)46
N-YOLO: A SAR Ship Detection Using Noise-Classifying and Complete-Target Extraction46
NDVI Indicates Long-Term Dynamics of Vegetation and Its Driving Forces from Climatic and Anthropogenic Factors in Mongolian Plateau46
Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images46
Infrared Small Target Detection via Non-Convex Tensor Rank Surrogate Joint Local Contrast Energy46
Vertical Wind Shear Modulates Particulate Matter Pollutions: A Perspective from Radar Wind Profiler Observations in Beijing, China46
UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments46
Wheat Lodging Detection from UAS Imagery Using Machine Learning Algorithms46
Analysis of the Future Land Use Land Cover Changes in the Gaborone Dam Catchment Using CA-Markov Model: Implications on Water Resources46
An UAV and Satellite Multispectral Data Approach to Monitor Water Quality in Small Reservoirs46
Continuing the MODIS Dark Target Aerosol Time Series with VIIRS46
DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery46
Advantages of Using UAV Digital Photogrammetry in the Study of Slow-Moving Coastal Landslides46
Constructing a New Inter-Calibration Method for DMSP-OLS and NPP-VIIRS Nighttime Light46
Spatial and Temporal Variation, Simulation and Prediction of Land Use in Ecological Conservation Area of Western Beijing46
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review46
Crop Classification Method Based on Optimal Feature Selection and Hybrid CNN-RF Networks for Multi-Temporal Remote Sensing Imagery45
Multispectral Models from Bare Soil Composites for Mapping Topsoil Properties over Europe45
Infrastructure Safety Oriented Traffic Load Monitoring Using Multi-Sensor and Single Camera for Short and Medium Span Bridges45
Assessing Climate Change Impact on Soil Salinity Dynamics between 1987–2017 in Arid Landscape Using Landsat TM, ETM+ and OLI Data45
Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods—A Case Study from Dak Nong, Vietnam45
Accounting for Training Data Error in Machine Learning Applied to Earth Observations45
DFCNN-Based Semantic Recognition of Urban Functional Zones by Integrating Remote Sensing Data and POI Data45
Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review45
The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review45
On the Performances of Trend and Change-Point Detection Methods for Remote Sensing Data45
A Method for Vehicle Detection in High-Resolution Satellite Images that Uses a Region-Based Object Detector and Unsupervised Domain Adaptation45
Remote Sensing Image Semantic Segmentation Based on Edge Information Guidance45
Evaluation of Precipitable Water Vapor from Five Reanalysis Products with Ground-Based GNSS Observations45
Tree Species Traits Determine the Success of LiDAR-Based Crown Mapping in a Mixed Temperate Forest44
Mapping Winter Wheat in North China Using Sentinel 2A/B Data: A Method Based on Phenology-Time Weighted Dynamic Time Warping44
Wildfire Segmentation Using Deep Vision Transformers44
Spatio-Temporal Changes and Driving Forces of Vegetation Coverage on the Loess Plateau of Northern Shaanxi44
Crop Type and Land Cover Mapping in Northern Malawi Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data44
Consistency Analysis and Accuracy Assessment of Three Global 30-m Land-Cover Products over the European Union using the LUCAS Dataset44
A Comparison of UAV and Satellites Multispectral Imagery in Monitoring Onion Crop. An Application in the ‘Cipolla Rossa di Tropea’ (Italy)44
Rapid Flood Mapping and Evaluation with a Supervised Classifier and Change Detection in Shouguang Using Sentinel-1 SAR and Sentinel-2 Optical Data44
Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images44
Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park44
Individual Tree-Crown Detection and Species Classification in Very High-Resolution Remote Sensing Imagery Using a Deep Learning Ensemble Model44
Mapping Annual Land Disturbance and Reclamation in a Surface Coal Mining Region Using Google Earth Engine and the LandTrendr Algorithm: A Case Study of the Shengli Coalfield in Inner Mongolia, China44
A Technical Review of Planet Smallsat Data: Practical Considerations for Processing and Using PlanetScope Imagery44
Urban Heat Island Monitoring and Impacts on Citizen’s General Health Status in Isfahan Metropolis: A Remote Sensing and Field Survey Approach44
Remotely Sensing the Source and Transport of Marine Plastic Debris in Bay Islands of Honduras (Caribbean Sea)44
Vegetation Detection Using Deep Learning and Conventional Methods44
Spatiotemporal Variation of Surface Urban Heat Islands in Relation to Land Cover Composition and Configuration: A Multi-Scale Case Study of Xi’an, China44
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data44
Exceptional Drought across Southeastern Australia Caused by Extreme Lack of Precipitation and Its Impacts on NDVI and SIF in 201844
Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey44
Night-Time Light Remote Sensing Mapping: Construction and Analysis of Ethnic Minority Development Index44
Initial User-Centered Design of a Virtual Reality Heritage System: Applications for Digital Tourism44
First Estimation of Global Trends in Nocturnal Power Emissions Reveals Acceleration of Light Pollution44
Ground Validation of GPM IMERG Precipitation Products over Iran44
The Implications of M3C2 Projection Diameter on 3D Semi-Automated Rockfall Extraction from Sequential Terrestrial Laser Scanning Point Clouds44
Real-Time Detection of Ground Objects Based on Unmanned Aerial Vehicle Remote Sensing with Deep Learning: Application in Excavator Detection for Pipeline Safety43
An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends43
Automatic Generation of Sentinel-1 Continental Scale DInSAR Deformation Time Series through an Extended P-SBAS Processing Pipeline in a Cloud Computing Environment43
A Systematic Literature Review on Crop Yield Prediction with Deep Learning and Remote Sensing43
Estimating Agricultural Soil Moisture Content through UAV-Based Hyperspectral Images in the Arid Region43
Estimation of Leaf Chlorophyll a, b and Carotenoid Contents and Their Ratios Using Hyperspectral Reflectance43
Standoff Chemical Detection Using Laser Absorption Spectroscopy: A Review43
Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis43
Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks43
Assessing the Accuracy of Multiple Classification Algorithms for Crop Classification Using Landsat-8 and Sentinel-2 Data43
When Self-Supervised Learning Meets Scene Classification: Remote Sensing Scene Classification Based on a Multitask Learning Framework43
Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data43
Individual Tree Detection in a Eucalyptus Plantation Using Unmanned Aerial Vehicle (UAV)-LiDAR43
Comparison of Multi-Year Reanalysis, Models, and Satellite Remote Sensing Products for Agricultural Drought Monitoring over South Asian Countries43
Accuracy, Bias, and Improvements in Mapping Crops and Cropland across the United States Using the USDA Cropland Data Layer43
Use of SAR and Optical Time Series for Tropical Forest Disturbance Mapping43
Sub-Pixel Waterline Extraction: Characterising Accuracy and Sensitivity to Indices and Spectra43
Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes42
Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing42
Responses of Water Use Efficiency to Drought in Southwest China42
Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria42
Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning42
GNSS-Reflectometry and Remote Sensing of Soil Moisture: A Review of Measurement Techniques, Methods, and Applications42
Estimation of LAI with the LiDAR Technology: A Review42
Continental-Scale Land Cover Mapping at 10 m Resolution Over Europe (ELC10)42
Remote Sensing Image Defogging Networks Based on Dual Self-Attention Boost Residual Octave Convolution42
Multiplatform-SfM and TLS Data Fusion for Monitoring Agricultural Terraces in Complex Topographic and Landcover Conditions42
Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing42
MRENet: Simultaneous Extraction of Road Surface and Road Centerline in Complex Urban Scenes from Very High-Resolution Images42
Soil Moisture Content from GNSS Reflectometry Using Dielectric Permittivity from Fresnel Reflection Coefficients42
Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-CNN Deep Learning and Digital Elevation Data42
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 Italy42
Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models42
Apple Shape Detection Based on Geometric and Radiometric Features Using a LiDAR Laser Scanner42
Detecting Burn Severity across Mediterranean Forest Types by Coupling Medium-Spatial Resolution Satellite Imagery and Field Data42
On-Board Real-Time Ship Detection in HISEA-1 SAR Images Based on CFAR and Lightweight Deep Learning42
Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning42
Identification of Seed Maize Fields With High Spatial Resolution and Multiple Spectral Remote Sensing Using Random Forest Classifier42
Extraction of Information about Individual Trees from High-Spatial-Resolution UAV-Acquired Images of an Orchard42
Object-Based Analysis Using Unmanned Aerial Vehicles (UAVs) for Site-Specific Landslide Assessment42
Remote Sensing Indices for Spatial Monitoring of Agricultural Drought in South Asian Countries42
Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data42
Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America42
Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning42
Multispectral Mapping on 3D Models and Multi-Temporal Monitoring for Individual Characterization of Olive Trees42
A Comparison of OCO-2 SIF, MODIS GPP, and GOSIF Data from Gross Primary Production (GPP) Estimation and Seasonal Cycles in North America42
Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential42
Global Land Surface Temperature Change (2003–2017) and Its Relationship with Climate Drivers: AIRS, MODIS, and ERA5-Land Based Analysis41
A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data41
A New Set of MODIS Land Products (MCD18): Downward Shortwave Radiation and Photosynthetically Active Radiation41
Deep Learning-Based Identification of Collapsed, Non-Collapsed and Blue Tarp-Covered Buildings from Post-Disaster Aerial Images41
Looking for Change? Roll the Dice and Demand Attention41
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