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1
Dynamics of a Coupled System: Multi-Resolution Remote Sensing in Assessing Social-Ecological Responses during 25 Years of Gas Field Development in Arctic Russia
Dynamics of a Coupled System: Multi-Resolution Remote Sensing in Assessing Social-Ecological Responses during 25 Years of Gas Field Development in Arctic Russia
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Dynamics of a Coupled System: Multi-Resolution Remote Sensing in Assessing Social-Ecological Responses during 25 Years of Gas Field Development in Arctic Russia

Remote sensing (Basel, Switzerland), 2012-04, Vol.4 (4), p.1046-1068 [Peer Reviewed Journal]

Copyright MDPI AG 2012 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs4041046

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2
Combining Remote Sensing Approaches for Detecting Marks of Archaeological and Demolished Constructions in Cahokia’s Grand Plaza, Southwestern Illinois
Combining Remote Sensing Approaches for Detecting Marks of Archaeological and Demolished Constructions in Cahokia’s Grand Plaza, Southwestern Illinois
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Combining Remote Sensing Approaches for Detecting Marks of Archaeological and Demolished Constructions in Cahokia’s Grand Plaza, Southwestern Illinois

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (4), p.1057 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15041057

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3
Comparison of Masking Algorithms for Sentinel-2 Imagery
Comparison of Masking Algorithms for Sentinel-2 Imagery
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Comparison of Masking Algorithms for Sentinel-2 Imagery

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (1), p.137 [Peer Reviewed Journal]

2021. 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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13010137

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4
Bilateral Adversarial Patch Generating Network for the Object Tracking Algorithm
Bilateral Adversarial Patch Generating Network for the Object Tracking Algorithm
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Bilateral Adversarial Patch Generating Network for the Object Tracking Algorithm

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (14), p.3670 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15143670

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5
ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD)
ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD)
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ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD)

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1156 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12071156

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6
UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence
UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence
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UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (4), p.410 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11040410

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7
Mapping Species at an Individual-Tree Scale in a Temperate Forest, Using Sentinel-2 Images, Airborne Laser Scanning Data, and Random Forest Classification
Mapping Species at an Individual-Tree Scale in a Temperate Forest, Using Sentinel-2 Images, Airborne Laser Scanning Data, and Random Forest Classification
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Mapping Species at an Individual-Tree Scale in a Temperate Forest, Using Sentinel-2 Images, Airborne Laser Scanning Data, and Random Forest Classification

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (22), p.3710 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12223710

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8
Continuously Updated Digital Elevation Models (CUDEMs) to Support Coastal Inundation Modeling
Continuously Updated Digital Elevation Models (CUDEMs) to Support Coastal Inundation Modeling
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Continuously Updated Digital Elevation Models (CUDEMs) to Support Coastal Inundation Modeling

Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (6), p.1702 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15061702

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9
Assessment of Invasive and Weed Species by Hyperspectral Imagery in Agrocenoses Ecosystem
Assessment of Invasive and Weed Species by Hyperspectral Imagery in Agrocenoses Ecosystem
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Assessment of Invasive and Weed Species by Hyperspectral Imagery in Agrocenoses Ecosystem

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (10), p.2442 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14102442

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10
Coastal Ship Tracking with Memory-Guided Perceptual Network
Coastal Ship Tracking with Memory-Guided Perceptual Network
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Coastal Ship Tracking with Memory-Guided Perceptual Network

Remote sensing (Basel, Switzerland), 2023-06, Vol.15 (12), p.3150 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15123150

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11
Observing System Experiments with an Arctic Mesoscale Numerical Weather Prediction Model
Observing System Experiments with an Arctic Mesoscale Numerical Weather Prediction Model
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Observing System Experiments with an Arctic Mesoscale Numerical Weather Prediction Model

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (8), p.981 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11080981

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12
Increasing Accuracy of the Soil-Agricultural Map by Sentinel-2 Images Analysis—Case Study of Maize Cultivation under Drought Conditions
Increasing Accuracy of the Soil-Agricultural Map by Sentinel-2 Images Analysis—Case Study of Maize Cultivation under Drought Conditions
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Increasing Accuracy of the Soil-Agricultural Map by Sentinel-2 Images Analysis—Case Study of Maize Cultivation under Drought Conditions

Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (5), p.1281 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15051281

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13
Objective Estimation of Tropical Cyclone Intensity from Active and Passive Microwave Remote Sensing Observations in the Northwestern Pacific Ocean
Objective Estimation of Tropical Cyclone Intensity from Active and Passive Microwave Remote Sensing Observations in the Northwestern Pacific Ocean
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Objective Estimation of Tropical Cyclone Intensity from Active and Passive Microwave Remote Sensing Observations in the Northwestern Pacific Ocean

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (6), p.627 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11060627

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14
Raking over the Ashes—The Analysis of the LBA Ashmounds from NE Romania
Raking over the Ashes—The Analysis of the LBA Ashmounds from NE Romania
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Raking over the Ashes—The Analysis of the LBA Ashmounds from NE Romania

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (7), p.1826 [Peer Reviewed Journal]

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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15071826

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15
Detection and Classification of Non-Photosynthetic Vegetation from PRISMA Hyperspectral Data in Croplands
Detection and Classification of Non-Photosynthetic Vegetation from PRISMA Hyperspectral Data in Croplands
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Detection and Classification of Non-Photosynthetic Vegetation from PRISMA Hyperspectral Data in Croplands

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (23), p.3903 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12233903

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16
Geometric Quality Assessment of Chang’E-2 Global DEM Product
Geometric Quality Assessment of Chang’E-2 Global DEM Product
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Geometric Quality Assessment of Chang’E-2 Global DEM Product

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.526 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12030526

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17
Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods
Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods
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Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.523 [Peer Reviewed Journal]

2021. 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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13030523

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18
Evaluation of Five Deep Learning Models for Crop Type Mapping Using Sentinel-2 Time Series Images with Missing Information
Evaluation of Five Deep Learning Models for Crop Type Mapping Using Sentinel-2 Time Series Images with Missing Information
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Evaluation of Five Deep Learning Models for Crop Type Mapping Using Sentinel-2 Time Series Images with Missing Information

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (14), p.2790 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13142790

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19
Enhancing Small Moving Target Detection Performance in Low-Quality and Long-Range Infrared Videos Using Optical Flow Techniques
Enhancing Small Moving Target Detection Performance in Low-Quality and Long-Range Infrared Videos Using Optical Flow Techniques
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Enhancing Small Moving Target Detection Performance in Low-Quality and Long-Range Infrared Videos Using Optical Flow Techniques

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (24), p.4024 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12244024

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20
SAR Target Detection Based on Domain Adaptive Faster R-CNN with Small Training Data Size
SAR Target Detection Based on Domain Adaptive Faster R-CNN with Small Training Data Size
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SAR Target Detection Based on Domain Adaptive Faster R-CNN with Small Training Data Size

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (21), p.4202 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13214202

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