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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
Coupling Downscaling and Calibrating Methods for Generating High-Quality Precipitation Data with Multisource Satellite Data in the Yellow River Basin
Coupling Downscaling and Calibrating Methods for Generating High-Quality Precipitation Data with Multisource Satellite Data in the Yellow River Basin
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Coupling Downscaling and Calibrating Methods for Generating High-Quality Precipitation Data with Multisource Satellite Data in the Yellow River Basin

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1318 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16081318

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3
Geologic Controls on Apparent Root‐Zone Storage Capacity
Geologic Controls on Apparent Root‐Zone Storage Capacity
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Geologic Controls on Apparent Root‐Zone Storage Capacity

Water resources research, 2024-03, Vol.60 (3), p.n/a [Peer Reviewed Journal]

2024. The Authors. ;2024. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2023WR035362

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4
Can eXplainable AI Offer a New Perspective for Groundwater Recharge Estimation?—Global‐Scale Modeling Using Neural Network
Can eXplainable AI Offer a New Perspective for Groundwater Recharge Estimation?—Global‐Scale Modeling Using Neural Network
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Can eXplainable AI Offer a New Perspective for Groundwater Recharge Estimation?—Global‐Scale Modeling Using Neural Network

Water resources research, 2024-04, Vol.60 (4), p.n/a [Peer Reviewed Journal]

2024. The Authors. ;2024. This article is published 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. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2023WR036360

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5
Unraveling Environmental Forces Shaping Surface Sediment Geochemical “Isodrapes” in the East Asian Marginal Seas
Unraveling Environmental Forces Shaping Surface Sediment Geochemical “Isodrapes” in the East Asian Marginal Seas
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Unraveling Environmental Forces Shaping Surface Sediment Geochemical “Isodrapes” in the East Asian Marginal Seas

Global biogeochemical cycles, 2024-04, Vol.38 (4), p.n/a [Peer Reviewed Journal]

2024 The Authors. ;2024. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0886-6236 ;EISSN: 1944-9224 ;DOI: 10.1029/2023GB007839

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6
Higher crop rotational diversity in more simplified agricultural landscapes in Northeastern Germany
Higher crop rotational diversity in more simplified agricultural landscapes in Northeastern Germany
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Higher crop rotational diversity in more simplified agricultural landscapes in Northeastern Germany

Landscape ecology, 2024-04, Vol.39 (4) [Peer Reviewed Journal]

The Author(s) 2024 ;ISSN: 1572-9761 ;ISSN: 0921-2973 ;EISSN: 1572-9761 ;DOI: 10.1007/s10980-024-01889-x

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7
Generative Adversarial Network and Mutual-Point Learning Algorithm for Few-Shot Open-Set Classification of Hyperspectral Images
Generative Adversarial Network and Mutual-Point Learning Algorithm for Few-Shot Open-Set Classification of Hyperspectral Images
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Generative Adversarial Network and Mutual-Point Learning Algorithm for Few-Shot Open-Set Classification of Hyperspectral Images

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1285 [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/rs16071285

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8
Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advances
Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advances
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Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advances

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1145 [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/rs16071145

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9
Explainable Automatic Detection of Fiber–Cement Roofs in Aerial RGB Images
Explainable Automatic Detection of Fiber–Cement Roofs in Aerial RGB Images
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Explainable Automatic Detection of Fiber–Cement Roofs in Aerial RGB Images

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1342 [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/rs16081342

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10
CDEST: Class Distinguishability-Enhanced Self-Training Method for Adopting Pre-Trained Models to Downstream Remote Sensing Image Semantic Segmentation
CDEST: Class Distinguishability-Enhanced Self-Training Method for Adopting Pre-Trained Models to Downstream Remote Sensing Image Semantic Segmentation
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CDEST: Class Distinguishability-Enhanced Self-Training Method for Adopting Pre-Trained Models to Downstream Remote Sensing Image Semantic Segmentation

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1293 [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/rs16071293

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11
Advanced Machine Learning and Deep Learning Approaches for Remote Sensing II
Advanced Machine Learning and Deep Learning Approaches for Remote Sensing II
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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing II

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1353 [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/rs16081353

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12
Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping
Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping
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Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1464 [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/rs16081464

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13
Fusion of Hyperspectral and Multispectral Images with Radiance Extreme Area Compensation
Fusion of Hyperspectral and Multispectral Images with Radiance Extreme Area Compensation
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Fusion of Hyperspectral and Multispectral Images with Radiance Extreme Area Compensation

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1248 [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/rs16071248

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14
Joint Gravity and Magnetic Inversion Using CNNs’ Deep Learning
Joint Gravity and Magnetic Inversion Using CNNs’ Deep Learning
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Joint Gravity and Magnetic Inversion Using CNNs’ Deep Learning

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1115 [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/rs16071115

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15
MFINet: Multi-Scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images
MFINet: Multi-Scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images
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MFINet: Multi-Scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1269 [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/rs16071269

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16
Bridging Domains and Resolutions: Deep Learning-Based Land Cover Mapping without Matched Labels
Bridging Domains and Resolutions: Deep Learning-Based Land Cover Mapping without Matched Labels
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Bridging Domains and Resolutions: Deep Learning-Based Land Cover Mapping without Matched Labels

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1449 [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/rs16081449

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17
A Multi-Scale Forest Above-Ground Biomass Mapping Approach: Employing a Step-by-Step Spatial Downscaling Method with Bias-Corrected Ensemble Machine Learning
A Multi-Scale Forest Above-Ground Biomass Mapping Approach: Employing a Step-by-Step Spatial Downscaling Method with Bias-Corrected Ensemble Machine Learning
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A Multi-Scale Forest Above-Ground Biomass Mapping Approach: Employing a Step-by-Step Spatial Downscaling Method with Bias-Corrected Ensemble Machine Learning

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1228 [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/rs16071228

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18
Random Forest Classifier for Cloud Clearing of the Operational TROPOMI XCH4 Product
Random Forest Classifier for Cloud Clearing of the Operational TROPOMI XCH4 Product
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Random Forest Classifier for Cloud Clearing of the Operational TROPOMI XCH4 Product

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1208 [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/rs16071208

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19
Road Extraction and Distress Assessment by Spaceborne, Airborne, and Terrestrial Platforms
Road Extraction and Distress Assessment by Spaceborne, Airborne, and Terrestrial Platforms
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Road Extraction and Distress Assessment by Spaceborne, Airborne, and Terrestrial Platforms

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1416 [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/rs16081416

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20
Quantifying Landscape Evolution and Erosion by Remote Sensing
Quantifying Landscape Evolution and Erosion by Remote Sensing
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Quantifying Landscape Evolution and Erosion by Remote Sensing

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (6), p.968 [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/rs16060968

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