Remote Sensing | Editor’s Choice Articles in 2020

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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
 

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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
 

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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