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1
Extracting Typical Samples Based on Image Environmental Factors to Obtain an Accurate and High-Resolution Soil Type Map
Extracting Typical Samples Based on Image Environmental Factors to Obtain an Accurate and High-Resolution Soil Type Map
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Extracting Typical Samples Based on Image Environmental Factors to Obtain an Accurate and High-Resolution Soil Type Map

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1128 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071128

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2
Mapping Annual Tidal Flat Loss and Gain in the Micro-Tidal Area Integrating Dual Full-Time Series Spectral Indices
Mapping Annual Tidal Flat Loss and Gain in the Micro-Tidal Area Integrating Dual Full-Time Series Spectral Indices
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Mapping Annual Tidal Flat Loss and Gain in the Micro-Tidal Area Integrating Dual Full-Time Series Spectral Indices

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1402 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2072-4292 ;DOI: 10.3390/rs16081402

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3
A Novel Flood Risk Analysis Framework Based on Earth Observation Data to Retrieve Historical Inundations and Future Scenarios
A Novel Flood Risk Analysis Framework Based on Earth Observation Data to Retrieve Historical Inundations and Future Scenarios
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A Novel Flood Risk Analysis Framework Based on Earth Observation Data to Retrieve Historical Inundations and Future Scenarios

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1413 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2072-4292 ;DOI: 10.3390/rs16081413

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4
Signal Photon Extraction and Classification for ICESat-2 Photon-Counting Lidar in Coastal Areas
Signal Photon Extraction and Classification for ICESat-2 Photon-Counting Lidar in Coastal Areas
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Signal Photon Extraction and Classification for ICESat-2 Photon-Counting Lidar in Coastal Areas

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1127 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071127

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5
Adaptive and Anti-Drift Motion Constraints for Object Tracking in Satellite Videos
Adaptive and Anti-Drift Motion Constraints for Object Tracking in Satellite Videos
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Adaptive and Anti-Drift Motion Constraints for Object Tracking in Satellite Videos

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1347 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2072-4292 ;DOI: 10.3390/rs16081347

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6
Ocean Temperature Profiling Lidar: Analysis of Technology and Potential for Rapid Ocean Observations
Ocean Temperature Profiling Lidar: Analysis of Technology and Potential for Rapid Ocean Observations
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Ocean Temperature Profiling Lidar: Analysis of Technology and Potential for Rapid Ocean Observations

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1236 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071236

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7
Using Deep Learning and Advanced Image Processing for the Automated Estimation of Tornado-Induced Treefall
Using Deep Learning and Advanced Image Processing for the Automated Estimation of Tornado-Induced Treefall
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Using Deep Learning and Advanced Image Processing for the Automated Estimation of Tornado-Induced Treefall

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1130 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071130

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8
Concept of a Satellite Cross-Calibration Radiometer for In-Orbit Calibration of Commercial Optical Satellites
Concept of a Satellite Cross-Calibration Radiometer for In-Orbit Calibration of Commercial Optical Satellites
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Concept of a Satellite Cross-Calibration Radiometer for In-Orbit Calibration of Commercial Optical Satellites

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1333 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2072-4292 ;DOI: 10.3390/rs16081333

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9
Assessing Groundwater Sustainability in the Arabian Peninsula and Its Impact on Gravity Fields through Gravity Recovery and Climate Experiment Measurements
Assessing Groundwater Sustainability in the Arabian Peninsula and Its Impact on Gravity Fields through Gravity Recovery and Climate Experiment Measurements
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Assessing Groundwater Sustainability in the Arabian Peninsula and Its Impact on Gravity Fields through Gravity Recovery and Climate Experiment Measurements

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1381 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2072-4292 ;DOI: 10.3390/rs16081381

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10
SSEBop Evapotranspiration Estimates Using Synthetically Derived Landsat Data from the Continuous Change Detection and Classification Algorithm
SSEBop Evapotranspiration Estimates Using Synthetically Derived Landsat Data from the Continuous Change Detection and Classification Algorithm
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SSEBop Evapotranspiration Estimates Using Synthetically Derived Landsat Data from the Continuous Change Detection and Classification Algorithm

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1297 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071297

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11
Predicting Neighborhood-Level Residential Carbon Emissions from Street View Images Using Computer Vision and Machine Learning
Predicting Neighborhood-Level Residential Carbon Emissions from Street View Images Using Computer Vision and Machine Learning
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Predicting Neighborhood-Level Residential Carbon Emissions from Street View Images Using Computer Vision and Machine Learning

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1312 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2072-4292 ;DOI: 10.3390/rs16081312

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12
A Framework Based on LIDs and Storage Pumping Stations for Urban Waterlogging
A Framework Based on LIDs and Storage Pumping Stations for Urban Waterlogging
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A Framework Based on LIDs and Storage Pumping Stations for Urban Waterlogging

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1207 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071207

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13
A Survey of Seafloor Characterization and Mapping Techniques
A Survey of Seafloor Characterization and Mapping Techniques
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A Survey of Seafloor Characterization and Mapping Techniques

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1163 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071163

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14
MDANet: A High-Resolution City Change Detection Network Based on Difference and Attention Mechanisms under Multi-Scale Feature Fusion
MDANet: A High-Resolution City Change Detection Network Based on Difference and Attention Mechanisms under Multi-Scale Feature Fusion
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MDANet: A High-Resolution City Change Detection Network Based on Difference and Attention Mechanisms under Multi-Scale Feature Fusion

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1387 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2072-4292 ;DOI: 10.3390/rs16081387

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15
Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data
Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data
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Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1206 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071206

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16
Constructing Rainfall Threshold for Debris Flows of a Defined Hazardous Magnitude
Constructing Rainfall Threshold for Debris Flows of a Defined Hazardous Magnitude
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Constructing Rainfall Threshold for Debris Flows of a Defined Hazardous Magnitude

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1265 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071265

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17
Research on Collapse Detection in Old Coal Mine Goafs Based on Space–Sky–Earth Remote Sensing Survey
Research on Collapse Detection in Old Coal Mine Goafs Based on Space–Sky–Earth Remote Sensing Survey
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Research on Collapse Detection in Old Coal Mine Goafs Based on Space–Sky–Earth Remote Sensing Survey

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1164 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071164

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18
Georeferencing Strategies in Very Shallow Waters: A Novel GCPs Survey Approach for UCH Photogrammetric Documentation
Georeferencing Strategies in Very Shallow Waters: A Novel GCPs Survey Approach for UCH Photogrammetric Documentation
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Georeferencing Strategies in Very Shallow Waters: A Novel GCPs Survey Approach for UCH Photogrammetric Documentation

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1313 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2072-4292 ;DOI: 10.3390/rs16081313

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19
A Google Earth Engine Platform to Integrate Multi-Satellite and Citizen Science Data for the Monitoring of River Ice Dynamics
A Google Earth Engine Platform to Integrate Multi-Satellite and Citizen Science Data for the Monitoring of River Ice Dynamics
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A Google Earth Engine Platform to Integrate Multi-Satellite and Citizen Science Data for the Monitoring of River Ice Dynamics

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1368 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2072-4292 ;DOI: 10.3390/rs16081368

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20
Impact of Traffic Flow Rate on the Accuracy of Short-Term Prediction of Origin-Destination Matrix in Urban Transportation Networks
Impact of Traffic Flow Rate on the Accuracy of Short-Term Prediction of Origin-Destination Matrix in Urban Transportation Networks
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Impact of Traffic Flow Rate on the Accuracy of Short-Term Prediction of Origin-Destination Matrix in Urban Transportation Networks

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1202 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071202

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