1. “Feasibility of Burned Area Mapping Based on ICESAT−2 Photon Counting Data” by Liu, M. et al. Remote Sens. 2020, 12(1), 24; https://doi.org/10.3390/rs12010024 Available online: https://www.mdpi.com/2072-4292/12/1/24
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2. “Potential of Night-Time Lights to Measure Regional Inequality” by Ivan, K. et al. Remote Sens. 2020, 12(1), 33; https://doi.org/10.3390/rs12010033 Available online: https://www.mdpi.com/2072-4292/12/1/33
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3. “Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes” by Moussavi, M. et al. Remote Sens. 2020, 12(1), 134; https://doi.org/10.3390/rs12010134 Available online: https://www.mdpi.com/2072-4292/12/1/134
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4. “Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks” by Gao, J. et al. Remote Sens. 2020, 12(1), 191; https://doi.org/10.3390/rs12010191 Available online: https://www.mdpi.com/2072-4292/12/1/191
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5. “Evaluation of Coherent and Incoherent Landslide Detection Methods Based on Synthetic Aperture Radar for Rapid Response: A Case Study for the 2018 Hokkaido Landslides” by Jung, J. et al. Remote Sens. 2020, 12(2), 265; https://doi.org/10.3390/rs12020265 Available online: https://www.mdpi.com/2072-4292/12/2/265
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6. “Harmonization of Landsat and Sentinel 2 for Crop Monitoring in Drought Prone Areas: Case Studies of Ninh Thuan (Vietnam) and Bekaa (Lebanon)” by Nguyen, M. et al. Remote Sens. 2020, 12(2), 281; https://doi.org/10.3390/rs12020281 Availablle online: https://www.mdpi.com/2072-4292/12/2/281
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7. “Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion” by Heckel, K. et al. Remote Sens. 2020, 12(2), 302; https://doi.org/10.3390/rs12020302 Available online: https://www.mdpi.com/2072-4292/12/2/302
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8. “Integrating Remote Sensing and Street View Images to Quantify Urban Forest Ecosystem Services” by Barbierato, E. et al. Remote Sens. 2020, 12(2), 329; https://doi.org/10.3390/rs12020329 Available online: https://www.mdpi.com/2072-4292/12/2/329
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9. “Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models” by Prakash, N. et al. Remote Sens. 2020, 12(3), 346; https://doi.org/10.3390/rs12030346 Available online: https://www.mdpi.com/2072-4292/12/3/346
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10. “Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas” by Lapini, A. et al. Remote Sens. 2020, 12(3), 369; https://doi.org/10.3390/rs12030369 Available online: https://www.mdpi.com/2072-4292/12/3/369
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11. “How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery?” by Zhang, X. et al. Remote Sens. 2020, 12(3), 417; https://doi.org/10.3390/rs12030417 Available online: https://www.mdpi.com/2072-4292/12/3/417
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12. “LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor” by Morishita, Y. et al. Remote Sens. 2020, 12(3), 424; https://doi.org/10.3390/rs12030424 Available online: https://www.mdpi.com/2072-4292/12/3/424
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13. “Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission” by Caballero, I. et al. Remote Sens. 2020, 12(3), 451; https://doi.org/10.3390/rs12030451 Available online: https://www.mdpi.com/2072-4292/12/3/451
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14. “Error Estimation of Pathfinder Version 5.3 Level-3C SST Using Extended Triple Collocation Analysis” by Saha, K. et al. Remote Sens. 2020, 12(4), 590; https://doi.org/10.3390/rs12040590 Available online: https://www.mdpi.com/2072-4292/12/4/590
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15. “Mapping the Land Cover of Africa at 10 m Resolution from Multi-Source Remote Sensing Data with Google Earth Engine” by Li, Q. et al. Remote Sens. 2020, 12(4), 602; https://doi.org/10.3390/rs12040602 Available online: https://www.mdpi.com/2072-4292/12/4/602
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16. “A High-Resolution Global Map of Giant Kelp (Macrocystis pyrifera) Forests and Intertidal Green Algae (Ulvophyceae) with Sentinel-2 Imagery” by Mora-Soto, A. et al. Remote Sens. 2020, 12(4), 694; https://doi.org/10.3390/rs12040694 Available online: https://www.mdpi.com/2072-4292/12/4/694
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17. “The Spatial and Spectral Resolution of ASTER Infrared Image Data: A Paradigm Shift in Volcanological Remote Sensing” by Ramsey, M. et al. Remote Sens. 2020, 12(4), 738; https://doi.org/10.3390/rs12040738 Available online: https://www.mdpi.com/2072-4292/12/4/738
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18. “Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993–2017)” by Berhane, T. et al. Remote Sens. 2020, 12(5), 754; https://doi.org/10.3390/rs12050754 Available online: https://www.mdpi.com/2072-4292/12/5/754
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19. “Sentinel-1 DInSAR for Monitoring Active Landslides in Critical Infrastructures: The Case of the Rules Reservoir (Southern Spain)” by Reyes-Carmona, C. et al. Remote Sens. 2020, 12(5), 809; https://doi.org/10.3390/rs12050809 Available online: https://www.mdpi.com/2072-4292/12/5/809
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20. “Using NDVI to Differentiate Wheat Genotypes Productivity Under Dryland and Irrigated Conditions” by Naser, M. et al. Remote Sens. 2020, 12(5), 824; https://doi.org/10.3390/rs12050824 Available online: https://www.mdpi.com/2072-4292/12/5/824
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21. “Combining InfraRed Thermography and UAV Digital Photogrammetry for the Protection and Conservation of Rupestrian Cultural Heritage Sites in Georgia: A Methodological Application” by Frodella, W. et al. Remote Sens. 2020, 12(5), 892; https://doi.org/10.3390/rs12050892 Available online: https://www.mdpi.com/2072-4292/12/5/892
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22. “Mapping Three Decades of Changes in the Brazilian Savanna Native Vegetation Using Landsat Data Processed in the Google Earth Engine Platform” by Alencar, A. et al. Remote Sens. 2020, 12(6), 924; https://doi.org/10.3390/rs12060924 Available online: https://www.mdpi.com/2072-4292/12/6/924
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23. “Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects” by Gaffey, C. et al. Remote Sens. 2020, 12(6), 948; https://doi.org/10.3390/rs12060948 Available online: https://www.mdpi.com/2072-4292/12/6/948
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24. “On the Performances of Trend and Change-Point Detection Methods for Remote Sensing Data” by Militino, A. et al. Remote Sens. 2020, 12(6), 1008; https://doi.org/10.3390/rs12061008 Available online: https://www.mdpi.com/2072-4292/12/6/1008
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25. “Accounting for Training Data Error in Machine Learning Applied to Earth Observations” by Elmes, A. et al. Remote Sens. 2020, 12(6), 1034; https://doi.org/10.3390/rs12061034 Available online: https://www.mdpi.com/2072-4292/12/6/1034
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26. “Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks” by Nezami, S. et al. Remote Sens. 2020, 12(7), 1070; https://doi.org/10.3390/rs12071070 Available online: https://www.mdpi.com/2072-4292/12/7/1070
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27. “Remote Sensing of River Discharge: A Review and a Framing for the Discipline” by Gleason, C. et al. Remote Sens. 2020, 12(7), 1107; https://doi.org/10.3390/rs12071107 Available online: https://www.mdpi.com/2072-4292/12/7/1107
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28. “Regional Dependence of Atmospheric Responses to Oceanic Eddies in the North Pacific Ocean” by Ji, J. et al. Remote Sens. 2020, 12(7), 1161; https://doi.org/10.3390/rs12071161 Available online: https://www.mdpi.com/2072-4292/12/7/1161
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29. “Similarities and Differences in the Temporal Variability of PM2.5 and AOD Between Urban and Rural Stations in Beijing” by Fu, D. et al. Remote Sens. 2020, 12(7), 1193; https://doi.org/10.3390/rs12071193 Available online: https://www.mdpi.com/2072-4292/12/7/1193
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30. “Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme” by Mäkynen, M. et al. Remote Sens. 2020, 12(7), 1214; https://doi.org/10.3390/rs12071214 Available online: https://www.mdpi.com/2072-4292/12/7/1214
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31. “The Status of Earth Observation Techniques in Monitoring High Mountain Environments at the Example of Pasterze Glacier, Austria: Data, Methods, Accuracies, Processes, and Scales” by Avian, M. et al. Remote Sens. 2020, 12(8), 1251; https://doi.org/10.3390/rs12081251 Available online: https://www.mdpi.com/2072-4292/12/8/1251
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32. “An Overview of Platforms for Big Earth Observation Data Management and Analysis” by Gomes, V. et al. Remote Sens. 2020, 12(8), 1253; https://doi.org/10.3390/rs12081253 Available online: https://www.mdpi.com/2072-4292/12/8/1253
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33. “Harmonized Landsat 8 and Sentinel-2 Time Series Data to Detect Irrigated Areas: An Application in Southern Italy” by Falanga Bolognesi, S. et al. Remote Sens. 2020, 12(8), 1275; https://doi.org/10.3390/rs12081275 Available online: https://www.mdpi.com/2072-4292/12/8/1275
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34. “Relation of Photochemical Reflectance Indices Based on Different Wavelengths to the Parameters of Light Reactions in Photosystems I and II in Pea Plants” by Sukhova, E. et al. Remote Sens. 2020, 12(8), 1312; https://doi.org/10.3390/rs12081312 Available online: https://www.mdpi.com/2072-4292/12/8/1312
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35. “Near Real-Time Monitoring of the Christmas 2018 Etna Eruption Using SEVIRI and Products Validation” by Corradini, S. et al. Remote Sens. 2020, 12(8), 1336; https://doi.org/10.3390/rs12081336 Available online: https://www.mdpi.com/2072-4292/12/8/1336
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36. “Sun-Angle Effects on Remote-Sensing Phenology Observed and Modelled Using Himawari-8” by Ma, X. et al. Remote Sens. 2020, 12(8), 1339; https://doi.org/10.3390/rs12081339 Available online: https://www.mdpi.com/2072-4292/12/8/1339
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37. “High Quality Zenith Tropospheric Delay Estimation Using a Low-Cost Dual-Frequency Receiver and Relative Antenna Calibration” by Krietemeyer, A. et al. Remote Sens. 2020, 12(9), 1393; https://doi.org/10.3390/rs12091393 Available online: https://www.mdpi.com/2072-4292/12/9/1393
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38. “Compatibility of Aerial and Terrestrial LiDAR for Quantifying Forest Structural Diversity” by LaRue, E. et al. Remote Sens. 2020, 12(9), 1407; https://doi.org/10.3390/rs12091407 Available online: https://www.mdpi.com/2072-4292/12/9/1407
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39. “Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification” by Scholl, V. et al. Remote Sens. 2020, 12(9), 1414; https://doi.org/10.3390/rs12091414 Available online: https://www.mdpi.com/2072-4292/12/9/1414
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40. “A. Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review” by Abdollahi, A. et al. Remote Sens. 2020, 12(9), 1444; https://doi.org/10.3390/rs12091444 Available online: https://www.mdpi.com/2072-4292/12/9/1444
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41. “Mapping Floristic Patterns of Trees in Peruvian Amazonia Using Remote Sensing and Machine Learning” by Chaves, P. et al. Remote Sens. 2020, 12(9), 1523; https://doi.org/10.3390/rs12091523 Available online: https://www.mdpi.com/2072-4292/12/9/1523
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42. “U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images—Case Study in the Joanópolis City, Brazil” by Wagner, F. et al. Remote Sens. 2020, 12(10), 1544; https://doi.org/10.3390/rs12101544 Available online: https://www.mdpi.com/2072-4292/12/10/1544
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43. “LiDAR-Based Estimates of Canopy Base Height for a Dense Uneven-Aged Structured Forest” by Stefanidou, A. et al. Remote Sens. 2020, 12(10), 1565; https://doi.org/10.3390/rs12101565 Available online: https://www.mdpi.com/2072-4292/12/10/1565
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44. “Enhancing Methods for Under-Canopy Unmanned Aircraft System Based Photogrammetry in Complex Forests for Tree Diameter Measurement” by Krisanski, S. et al. Remote Sens. 2020, 12(10), 1652; https://doi.org/10.3390/rs12101652 Available online: https://www.mdpi.com/2072-4292/12/10/1652
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45. “60 Years of Glacier Elevation and Mass Changes in the Maipo River Basin, Central Andes of Chile” by Farías-Barahona, D. et al. Remote Sens. 2020, 12(10), 1658; https://doi.org/10.3390/rs12101658 Available online: https://www.mdpi.com/2072-4292/12/10/1658
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46. “Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends” by Hoeser, T. et al. Remote Sens. 2020, 12(10), 1667; https://doi.org/10.3390/rs12101667 Available online: https://www.mdpi.com/2072-4292/12/10/1667
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47. “Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil” by d’Oliveira, M. et al. Remote Sens. 2020, 12(11), 1754; https://doi.org/10.3390/rs12111754 Available online: https://www.mdpi.com/2072-4292/12/11/1754
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48. “Adaptive Modeling of the Global Ionosphere Vertical Total Electron Content” by Erdogan, E. et al. Remote Sens. 2020, 12(11), 1822; https://doi.org/10.3390/rs12111822 Available online: https://www.mdpi.com/2072-4292/12/11/1822
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49. “Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories” by McRoberts, R. et al. Remote Sens. 2020, 12(11), 1891; https://doi.org/10.3390/rs12111891 Available online: https://www.mdpi.com/2072-4292/12/11/1891
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50. “Evaluating the Performance of Sentinel-3A OLCI Land Products for Gross Primary Productivity Estimation Using AmeriFlux Data” by Zhang, Z. et al. Remote Sens. 2020, 12(12), 1927; https://doi.org/10.3390/rs12121927 Available online: https://www.mdpi.com/2072-4292/12/12/1927
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51. “An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia” by Han, K. et al. Remote Sens. 2020, 12(12), 2004; https://doi.org/10.3390/rs12122004 Available online: https://www.mdpi.com/2072-4292/12/12/2004
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52. “From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States” by Mucia, A. et al. Remote Sens. 2020, 12(12), 2020; https://doi.org/10.3390/rs12122020 Available online: https://www.mdpi.com/2072-4292/12/12/2020
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53. “Surface Temperature of the Planet Earth from Satellite Data over the Period 2003–2019” by Sobrino, J. et al. Remote Sens. 2020, 12(12), 2036; https://doi.org/10.3390/rs12122036 Available online: https://www.mdpi.com/2072-4292/12/12/2036
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54. “Analysis and Assessment of BDS-2 and BDS-3 Broadcast Ephemeris: Accuracy, the Datum of Broadcast Clocks and Its Impact on Single Point Positioning” by Jiao, G. et al. Remote Sens. 2020, 12(13), 2081; https://doi.org/10.3390/rs12132081 Available online: https://www.mdpi.com/2072-4292/12/13/2081
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55. “Sea Level Variability in the Red Sea: A Persistent East–West Pattern” by Abdulla, C. et al. Remote Sens. 2020, 12(13), 2090; https://doi.org/10.3390/rs12132090 Available online: https://www.mdpi.com/2072-4292/12/13/2090
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56. “Satellite-Based Drought Impact Assessment on Rice Yield in Thailand with SIMRIW−RS” by Raksapatcharawong, M. et al. Remote Sens. 2020, 12(13), 2099; https://doi.org/10.3390/rs12132099 Available online: https://www.mdpi.com/2072-4292/12/13/2099
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57. “Identification of Short-Rotation Eucalyptus Plantation at Large Scale Using Multi-Satellite Imageries and Cloud Computing Platform” by Deng, X. et al. Remote Sens. 2020, 12(13), 2153; https://doi.org/10.3390/rs12132153 Available online: https://www.mdpi.com/2072-4292/12/13/2153
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58. “EANet: Edge-Aware Network for the Extraction of Buildings from Aerial Images” by Yang, G. et al. Remote Sens. 2020, 12(13), 2161; https://doi.org/10.3390/rs12132161 Available online: https://www.mdpi.com/2072-4292/12/13/2161
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59. “Development of the Chinese Space-Based Radiometric Benchmark Mission LIBRA” by Zhang, P. et al. Remote Sens. 2020, 12(14), 2179; https://doi.org/10.3390/rs12142179 Available online: https://www.mdpi.com/2072-4292/12/14/2179
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60. “Gas Emission Craters and Mound-Predecessors in the North of West Siberia, Similarities and Differences” by Kizyakov, A. et al. Remote Sens. 2020, 12(14), 2182; https://doi.org/10.3390/rs12142182 Available online: https://www.mdpi.com/2072-4292/12/14/2182
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61. “Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements” by Wang, S. et al. Remote Sens. 2020, 12(14), 2204; https://doi.org/10.3390/rs12142204 Available online: https://www.mdpi.com/2072-4292/12/14/2204
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62. “Sentinel-2 Data for Land Cover/Use Mapping: A Review” by Phiri, D. et al. Remote Sens. 2020, 12(14), 2291; https://doi.org/10.3390/rs12142291 Available online: https://www.mdpi.com/2072-4292/12/14/2291
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63. “Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review” by El Mahrad, B. et al. Remote Sens. 2020, 12(14), 2313; https://doi.org/10.3390/rs12142313 Available online: https://www.mdpi.com/2072-4292/12/14/2313
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64. “Estimating River Sediment Discharge in the Upper Mississippi River Using Landsat Imagery” by A. Flores, J. et al. Remote Sens. 2020, 12(15), 2370; https://doi.org/10.3390/rs12152370 Available online: https://www.mdpi.com/2072-4292/12/15/2370
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65. “Assessment of Tree Detection Methods in Multispectral Aerial Images” by Pulido, D. et al. Remote Sens. 2020, 12(15), 2379; https://doi.org/10.3390/rs12152379 Available online: https://www.mdpi.com/2072-4292/12/15/2379
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66. “Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia” by Mustafa, F. et al. Remote Sens. 2020, 12(15), 2498; https://doi.org/10.3390/rs12152498 Available online: https://www.mdpi.com/2072-4292/12/15/2498
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67. “Vegetation Detection Using Deep Learning and Conventional Methods” by Ayhan, B. et al. Remote Sens. 2020, 12(15), 2502; https://doi.org/10.3390/rs12152502 Available online: https://www.mdpi.com/2072-4292/12/15/2502
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68. “Classification of Urban Area Using Multispectral Indices for Urban Planning” by Lynch, P. et al. Remote Sens. 2020, 12(15), 2503; https://doi.org/10.3390/rs12152503 Available online: https://www.mdpi.com/2072-4292/12/15/2503
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69. “Adjusting for Desert-Dust-Related Biases in a Climate Data Record of Sea Surface Temperature” by Merchant, C. et al. Remote Sens. 2020, 12(16), 2554; https://doi.org/10.3390/rs12162554 Available online: https://www.mdpi.com/2072-4292/12/16/2554
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70. “Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions” by Duan, S. et al. Remote Sens. 2020, 12(16), 2573; https://doi.org/10.3390/rs12162573 Available online: https://www.mdpi.com/2072-4292/12/16/2573
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71. “Variations of Mass Balance of the Greenland Ice Sheet from 2002 to 2019” by Mu, Y. et al. Remote Sens. 2020, 12(16), 2609; https://doi.org/10.3390/rs12162609 Available online: https://www.mdpi.com/2072-4292/12/16/2609
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72. “Analyzing Spatio-Temporal Factors to Estimate the Response Time between SMOS and In-Situ Soil Moisture at Different Depths” by Herbert, C. et al. Remote Sens. 2020, 12(16), 2614; https://doi.org/10.3390/rs12162614 Available online: https://www.mdpi.com/2072-4292/12/16/2614
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73. “Neural Network Training for the Detection and Classification of Oceanic Mesoscale Eddies” by Santana, O. et al. Remote Sens. 2020, 12(16), 2625; https://doi.org/10.3390/rs12162625 Available online: https://www.mdpi.com/2072-4292/12/16/2625
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74. “The ESA Permanent Facility for Altimetry Calibration: Monitoring Performance of Radar Altimeters for Sentinel-3A, Sentinel-3B and Jason-3 Using Transponder and Sea-Surface Calibrations with FRM Standards” by Mertikas, S. et al. Remote Sens. 2020, 12(16), 2642; https://doi.org/10.3390/rs12162642 Available online: https://www.mdpi.com/2072-4292/12/16/2642
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75. “Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture” by Lu, B. et al. Remote Sens. 2020, 12(16), 2659; https://doi.org/10.3390/rs12162659 Available online: https://www.mdpi.com/2072-4292/12/16/2659
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76. “Application of Convolutional Neural Network for Spatiotemporal Bias Correction of Daily Satellite-Based Precipitation” by Le, X. et al. Remote Sens. 2020, 12(17), 2731; https://doi.org/10.3390/rs12172731 Available online: https://www.mdpi.com/2072-4292/12/17/2731
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77. “A Novel Deep Forest-Based Active Transfer Learning Method for PolSAR Images” by Qin, X. et al. Remote Sens. 2020, 12(17), 2755; https://doi.org/10.3390/rs12172755 Available online: https://www.mdpi.com/2072-4292/12/17/2755
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78. “Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria” by Nachappa, T. et al. Remote Sens. 2020, 12(17), 2757; https://doi.org/10.3390/rs12172757 Available online: https://www.mdpi.com/2072-4292/12/17/2757
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79. “The Dimming of Lights in China during the COVID-19 Pandemic” by Elvidge, C. et al. Remote Sens. 2020, 12(17), 2851; https://doi.org/10.3390/rs12172851 Available online: https://www.mdpi.com/2072-4292/12/17/2851
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80. “Modality-Free Feature Detector and Descriptor for Multimodal Remote Sensing Image Registration” by Cui, S. et al. Remote Sens. 2020, 12(18), 2937; https://doi.org/10.3390/rs12182937 Available online: https://www.mdpi.com/2072-4292/12/18/2937
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81. “The Effect of Climatological Variables on Future UAS-Based Atmospheric Profiling in the Lower Atmosphere” by Jacobs, A. et al. Remote Sens. 2020, 12(18), 2947; https://doi.org/10.3390/rs12182947 Available online: https://www.mdpi.com/2072-4292/12/18/2947
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82. “Hyperspectral Image Classification Using Feature Relations Map Learning” by Dou, P. et al. Remote Sens. 2020, 12(18), 2956; https://doi.org/10.3390/rs12182956 Available online: https://www.mdpi.com/2072-4292/12/18/2956
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83. “Investigating the Impact of Digital Elevation Models on Sentinel-1 Backscatter and Coherence Observations” by Borlaf-Mena, I. et al. Remote Sens. 2020, 12(18), 3016; https://doi.org/10.3390/rs12183016 Available online: https://www.mdpi.com/2072-4292/12/18/3016
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84. “Applications of Remote Sensing in Precision Agriculture: A Review” by Sishodia, R. et al. Remote Sens. 2020, 12(19), 3136; https://doi.org/10.3390/rs12193136 Available online: https://www.mdpi.com/2072-4292/12/19/3136
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85. “Quality Assessment of Photogrammetric Models for Façade and Building Reconstruction Using DJI Phantom 4 RTK” by Taddia, Y. et al. Remote Sens. 2020, 12(19), 3144; https://doi.org/10.3390/rs12193144 Available online: https://www.mdpi.com/2072-4292/12/19/3144
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86. “A Google Earth Engine Tool to Investigate, Map and Monitor Volcanic Thermal Anomalies at Global Scale by Means of Mid-High Spatial Resolution Satellite Data” by Genzano, N. et al. Remote Sens. 2020, 12(19), 3232; https://doi.org/10.3390/rs12193232 Available online: https://www.mdpi.com/2072-4292/12/19/3232
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87. “Wide-Area Near-Real-Time Monitoring of Tropical Forest Degradation and Deforestation Using Sentinel-1” by Hoekman, D. et al. Remote Sens. 2020, 12(19), 3263; https://doi.org/10.3390/rs12193263 Available online: https://www.mdpi.com/2072-4292/12/19/3263
|
88. “Magnetospheric–Ionospheric–Lithospheric Coupling Model. 1: Observations during the 5 August 2018 Bayan Earthquake” by Piersanti, M. et al. Remote Sens. 2020, 12(20), 3299; https://doi.org/10.3390/rs12203299 Available online: https://www.mdpi.com/2072-4292/12/20/3299
|
89. “UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments” by Sandino, J. et al. Remote Sens. 2020, 12(20), 3386; https://doi.org/10.3390/rs12203386 Available online: https://www.mdpi.com/2072-4292/12/20/3386
|
90. “Evidence That Reduced Air and Road Traffic Decreased Artificial Night-Time Skyglow during COVID-19 Lockdown in Berlin, Germany” by Jechow, A. et al. Remote Sens. 2020, 12(20), 3412; https://doi.org/10.3390/rs12203412 Available online: https://www.mdpi.com/2072-4292/12/20/3412
|
91. “A Quantitative Framework for Analyzing Spatial Dynamics of Flood Events: A Case Study of Super Cyclone Amphan” by Hassan, M. et al. Remote Sens. 2020, 12(20), 3454; https://doi.org/10.3390/rs12203454 Available online: https://www.mdpi.com/2072-4292/12/20/3454
|
92. “Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada” by Amani, M. et al. Remote Sens. 2020, 12(21), 3561; https://doi.org/10.3390/rs12213561 Available online: https://www.mdpi.com/2072-4292/12/21/3561
|
93. “Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models” by Leite, R. et al. Remote Sens. 2020, 12(21), 3599; https://doi.org/10.3390/rs12213599 Available online: https://www.mdpi.com/2072-4292/12/21/3599
|
94. “Forest Drought Response Index (ForDRI): A New Combined Model to Monitor Forest Drought in the Eastern United States” by Tadesse, T. et al. Remote Sens. 2020, 12(21), 3605; https://doi.org/10.3390/rs12213605 Available online: https://www.mdpi.com/2072-4292/12/21/3605
|
95. “Photogrammetric 3D Model via Smartphone GNSS Sensor: Workflow, Error Estimate, and Best Practices” by Tavani, S. et al. Remote Sens. 2020, 12(21), 3616; https://doi.org/10.3390/rs12213616 Available online: https://www.mdpi.com/2072-4292/12/21/3616
|
96. “Land Cover Dynamics and Mangrove Degradation in the Niger Delta Region” by Nababa, I. et al. Remote Sens. 2020, 12(21), 3619; https://doi.org/10.3390/rs12213619 Available online: https://www.mdpi.com/2072-4292/12/21/3619
|
97. “Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data” by Hakim, W. et al. Remote Sens. 2020, 12(21), 3627; https://doi.org/10.3390/rs12213627 Available online: https://www.mdpi.com/2072-4292/12/21/3627
|
98. “Detecting Change at Archaeological Sites in North Africa Using Open-Source Satellite Imagery” by Rayne, L. et al. Remote Sens. 2020, 12(22), 3694; https://doi.org/10.3390/rs12223694 Available online: https://www.mdpi.com/2072-4292/12/22/3694
|
99. “The Google Earth Engine Mangrove Mapping Methodology (GEEMMM)” by Yancho, J. et al. Remote Sens. 2020, 12(22), 3758; https://doi.org/10.3390/rs12223758 Available online: https://www.mdpi.com/2072-4292/12/22/3758
|
100. “Dark Glacier Surface of Greenland’s Largest Floating Tongue Governed by High Local Deposition of Dust” by Humbert, A. et al. Remote Sens. 2020, 12(22), 3793; https://doi.org/10.3390/rs12223793 Available online: https://www.mdpi.com/2072-4292/12/22/3793
|
101. “A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain” by Schneider, R. et al. Remote Sens. 2020, 12(22), 3803; https://doi.org/10.3390/rs12223803 Available online: https://www.mdpi.com/2072-4292/12/22/3803
|
102. “Remote Sensing of Ecosystem Structure: Fusing Passive and Active Remotely Sensed Data to Characterize a Deltaic Wetland Landscape” by Peters, D. et al. Remote Sens. 2020, 12(22), 3819; https://doi.org/10.3390/rs12223819 Available online: https://www.mdpi.com/2072-4292/12/22/3819
|
103. “Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings” by Lloyd, C. et al. Remote Sens. 2020, 12(23), 3847; https://doi.org/10.3390/rs12233847 Available online: https://www.mdpi.com/2072-4292/12/23/3847
|
104. “Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments” by Chen, W. et al. Remote Sens. 2020, 12(23), 3854; https://doi.org/10.3390/rs12233854 Available online: https://www.mdpi.com/2072-4292/12/23/3854
|
105. “Novel Techniques for Void Filling in Glacier Elevation Change Data Sets” by Seehaus, T. et al. Remote Sens. 2020, 12(23), 3917; https://doi.org/10.3390/rs12233917 Available online: https://www.mdpi.com/2072-4292/12/23/3917
|
106. “Optimizing Near Real-Time Detection of Deforestation on Tropical Rainforests Using Sentinel-1 Data” by Doblas, J. et al. Remote Sens. 2020, 12(23), 3922; https://doi.org/10.3390/rs12233922 Available online: https://www.mdpi.com/2072-4292/12/23/3922
|
107. “Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters” by Adam, M. et al. Remote Sens. 2020, 12(23), 3948; https://doi.org/10.3390/rs12233948 Available online: https://www.mdpi.com/2072-4292/12/23/3948
|
108. “Assessing the Potential Replacement of Laurel Forest by a Novel Ecosystem in the Steep Terrain of an Oceanic Island” by Devkota, R. et al. Remote Sens. 2020, 12(24), 4013; https://doi.org/10.3390/rs12244013 Available online: https://www.mdpi.com/2072-4292/12/24/4013
|
109. “Analysis of Drought Impact on Croplands from Global to Regional Scale: A Remote Sensing Approach” by Ghazaryan, G. et al. Remote Sens. 2020, 12(24), 4030; https://doi.org/10.3390/rs12244030 Available online: https://www.mdpi.com/2072-4292/12/24/4030
|
110. “Design and Development of a Smart Variable Rate Sprayer Using Deep Learning” by Hussain, N. et al. Remote Sens. 2020, 12(24), 4091; https://doi.org/10.3390/rs12244091 Available online: https://www.mdpi.com/2072-4292/12/24/4091
|
111. “Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products” by Meyer, K. et al. Remote Sens. 2020, 12(24), 4096; https://doi.org/10.3390/rs12244096 Available online: https://www.mdpi.com/2072-4292/12/24/4096
|
112. “H-YOLO: A Single-Shot Ship Detection Approach Based on Region of Interest Preselected Network” by Tang, G. et al. Remote Sens. 2020, 12(24), 4192; https://doi.org/10.3390/rs12244192 Available online: https://www.mdpi.com/2072-4292/12/24/4192
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