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1
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover
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Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.4101 [Peer Reviewed Journal]

2022 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. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14164101

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2
Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar
Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar
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Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.559 [Peer Reviewed Journal]

info:eu-repo/semantics/openAccess ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12030559

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3
Spectral Analysis to Improve Inputs to Random Forest and Other Boosted Ensemble Tree-Based Algorithms for Detecting NYF Pegmatites in Tysfjord, Norway
Spectral Analysis to Improve Inputs to Random Forest and Other Boosted Ensemble Tree-Based Algorithms for Detecting NYF Pegmatites in Tysfjord, Norway
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Spectral Analysis to Improve Inputs to Random Forest and Other Boosted Ensemble Tree-Based Algorithms for Detecting NYF Pegmatites in Tysfjord, Norway

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3532 [Peer Reviewed Journal]

2022 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. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14153532

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4
Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks
Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks
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Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks

Remote sensing (Basel, Switzerland), 2021, Vol.13 (9), p.1734 [Peer Reviewed Journal]

2021 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. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13091734

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5
Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity
Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity
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Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity

Remote sensing (Basel, Switzerland), 2016-07, Vol.8 (7), p.598 [Peer Reviewed Journal]

info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs8070598

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6
Glacier Remote Sensing Using Sentinel-2. Part II: Mapping Glacier Extents and Surface Facies, and Comparison to Landsat 8
Glacier Remote Sensing Using Sentinel-2. Part II: Mapping Glacier Extents and Surface Facies, and Comparison to Landsat 8
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Glacier Remote Sensing Using Sentinel-2. Part II: Mapping Glacier Extents and Surface Facies, and Comparison to Landsat 8

Remote sensing (Basel, Switzerland), 2016-07, Vol.8 (7), p.575-575 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs8070575

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7
Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning
Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning
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Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2260 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12142260

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8
Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning
Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning
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Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1780 [Peer Reviewed Journal]

info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12111780

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9
Multiplatform-SfM and TLS Data Fusion for Monitoring Agricultural Terraces in Complex Topographic and Landcover Conditions
Multiplatform-SfM and TLS Data Fusion for Monitoring Agricultural Terraces in Complex Topographic and Landcover Conditions
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Multiplatform-SfM and TLS Data Fusion for Monitoring Agricultural Terraces in Complex Topographic and Landcover Conditions

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (12), p.1946 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12121946

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10
MMASTER: Improved ASTER DEMs for Elevation Change Monitoring
MMASTER: Improved ASTER DEMs for Elevation Change Monitoring
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MMASTER: Improved ASTER DEMs for Elevation Change Monitoring

Remote sensing (Basel, Switzerland), 2017-07, Vol.9 (7), p.704 [Peer Reviewed Journal]

info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9070704

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11
Sentinel-1 SAR Interferometry for Surface Deformation Monitoring in Low-Land Permafrost Areas
Sentinel-1 SAR Interferometry for Surface Deformation Monitoring in Low-Land Permafrost Areas
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Sentinel-1 SAR Interferometry for Surface Deformation Monitoring in Low-Land Permafrost Areas

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1360 [Peer Reviewed Journal]

2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10091360

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12
Changes in Forest Net Primary Productivity in the Yangtze River Basin and Its Relationship with Climate Change and Human Activities
Changes in Forest Net Primary Productivity in the Yangtze River Basin and Its Relationship with Climate Change and Human Activities
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Changes in Forest Net Primary Productivity in the Yangtze River Basin and Its Relationship with Climate Change and Human Activities

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (12), p.1451 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11121451

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13
Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment
Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment
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Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (24), p.4038 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12244038

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14
Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard
Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard
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Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (15), p.3031 [Peer Reviewed Journal]

2021 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. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13153031

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15
Circum-Arctic Changes in the Flow of Glaciers and Ice Caps from Satellite SAR Data between the 1990s and 2017
Circum-Arctic Changes in the Flow of Glaciers and Ice Caps from Satellite SAR Data between the 1990s and 2017
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Circum-Arctic Changes in the Flow of Glaciers and Ice Caps from Satellite SAR Data between the 1990s and 2017

Remote sensing (Basel, Switzerland), 2017-09, Vol.9 (9), p.947 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9090947

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16
Thaw Subsidence of a Yedoma Landscape in Northern Siberia, Measured In Situ and Estimated from TerraSAR-X Interferometry
Thaw Subsidence of a Yedoma Landscape in Northern Siberia, Measured In Situ and Estimated from TerraSAR-X Interferometry
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Thaw Subsidence of a Yedoma Landscape in Northern Siberia, Measured In Situ and Estimated from TerraSAR-X Interferometry

Remote sensing (Basel, Switzerland), 2018-01, Vol.10 (4), p.494 [Peer Reviewed Journal]

Copyright MDPI AG 2018 ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10040494

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17
Structure-From-Motion Photogrammetry of Antarctic Historical Aerial Photographs in Conjunction with Ground Control Derived from Satellite Data
Structure-From-Motion Photogrammetry of Antarctic Historical Aerial Photographs in Conjunction with Ground Control Derived from Satellite Data
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Structure-From-Motion Photogrammetry of Antarctic Historical Aerial Photographs in Conjunction with Ground Control Derived from Satellite Data

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (1), p.21 [Peer Reviewed Journal]

info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13010021

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18
The Arctic Amplification and Its Impact: A Synthesis through Satellite Observations
The Arctic Amplification and Its Impact: A Synthesis through Satellite Observations
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The Arctic Amplification and Its Impact: A Synthesis through Satellite Observations

Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (5), p.1354 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 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. ;info:eu-repo/semantics/openAccess ;Attribution ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15051354

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19
Evaluating Landsat-8 and Sentinel-2 Data Consistency for High Spatiotemporal Inland and Coastal Water Quality Monitoring
Evaluating Landsat-8 and Sentinel-2 Data Consistency for High Spatiotemporal Inland and Coastal Water Quality Monitoring
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Evaluating Landsat-8 and Sentinel-2 Data Consistency for High Spatiotemporal Inland and Coastal Water Quality Monitoring

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (13), p.3155 [Peer Reviewed Journal]

2022 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. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14133155

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20
Measurement of Snow Water Equivalent Using Drone-Mounted Ultra-Wide-Band Radar
Measurement of Snow Water Equivalent Using Drone-Mounted Ultra-Wide-Band Radar
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Measurement of Snow Water Equivalent Using Drone-Mounted Ultra-Wide-Band Radar

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (13), p.2610 [Peer Reviewed Journal]

2021 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. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13132610

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