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1
Aerosol Forcing from Ground-Based Synergies over a Decade in Barcelona, Spain
Aerosol Forcing from Ground-Based Synergies over a Decade in Barcelona, Spain
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Aerosol Forcing from Ground-Based Synergies over a Decade in Barcelona, Spain

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (8), p.1439 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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. ;Attribution ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs17081439

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2
Evolution and Attribution of Flood Volume in the Source Region of the Yellow River
Evolution and Attribution of Flood Volume in the Source Region of the Yellow River
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Evolution and Attribution of Flood Volume in the Source Region of the Yellow River

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (8), p.1342 [Peer Reviewed Journal]

2025 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/rs17081342

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3
Early Post-Seismic Deformation Revealed After the Wushi (China) Earthquake (Mw = 7.1) Occurred on 22 January 2024
Early Post-Seismic Deformation Revealed After the Wushi (China) Earthquake (Mw = 7.1) Occurred on 22 January 2024
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Early Post-Seismic Deformation Revealed After the Wushi (China) Earthquake (Mw = 7.1) Occurred on 22 January 2024

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (8), p.1340 [Peer Reviewed Journal]

2025 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/rs17081340

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4
Direction-of-Arrival Estimation Based on Variational Bayesian Inference Under Model Errors
Direction-of-Arrival Estimation Based on Variational Bayesian Inference Under Model Errors
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Direction-of-Arrival Estimation Based on Variational Bayesian Inference Under Model Errors

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1319 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071319

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5
Optimization of Multi-Source Remote Sensing Soil Salinity Estimation Based on Different Salinization Degrees
Optimization of Multi-Source Remote Sensing Soil Salinity Estimation Based on Different Salinization Degrees
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Optimization of Multi-Source Remote Sensing Soil Salinity Estimation Based on Different Salinization Degrees

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1315 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071315

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6
Towards Operational Dam Monitoring with PS-InSAR and Electronic Corner Reflectors
Towards Operational Dam Monitoring with PS-InSAR and Electronic Corner Reflectors
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Towards Operational Dam Monitoring with PS-InSAR and Electronic Corner Reflectors

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1318 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071318

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7
A Novel Electromagnetic Induction-Based Approach to Identify the State of Shallow Groundwater in the Oasis Group of the Tarim Basin in Xinjiang During 2000–2022
A Novel Electromagnetic Induction-Based Approach to Identify the State of Shallow Groundwater in the Oasis Group of the Tarim Basin in Xinjiang During 2000–2022
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A Novel Electromagnetic Induction-Based Approach to Identify the State of Shallow Groundwater in the Oasis Group of the Tarim Basin in Xinjiang During 2000–2022

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1312 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071312

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8
Interpretable Dual-Channel Convolutional Neural Networks for Lithology Identification Based on Multisource Remote Sensing Data
Interpretable Dual-Channel Convolutional Neural Networks for Lithology Identification Based on Multisource Remote Sensing Data
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Interpretable Dual-Channel Convolutional Neural Networks for Lithology Identification Based on Multisource Remote Sensing Data

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1314 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071314

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9
Decadal Trends and Drivers of Dust Emissions in East Asia: Integrating Statistical and SHAP-Based Interpretability Approaches
Decadal Trends and Drivers of Dust Emissions in East Asia: Integrating Statistical and SHAP-Based Interpretability Approaches
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Decadal Trends and Drivers of Dust Emissions in East Asia: Integrating Statistical and SHAP-Based Interpretability Approaches

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1313 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071313

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10
Neural Network-Based Temporal Ensembling of Water Depth Estimates Derived from SuperDove Images
Neural Network-Based Temporal Ensembling of Water Depth Estimates Derived from SuperDove Images
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Neural Network-Based Temporal Ensembling of Water Depth Estimates Derived from SuperDove Images

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1309 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071309

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11
Semantic and Geometric Fusion for Object-Based 3D Change Detection in LiDAR Point Clouds
Semantic and Geometric Fusion for Object-Based 3D Change Detection in LiDAR Point Clouds
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Semantic and Geometric Fusion for Object-Based 3D Change Detection in LiDAR Point Clouds

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1311 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071311

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12
Volume Estimation of Land Surface Change Based on GaoFen-7
Volume Estimation of Land Surface Change Based on GaoFen-7
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Volume Estimation of Land Surface Change Based on GaoFen-7

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1310 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071310

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13
Estimating Chlorophyll-a Concentrations in Optically Shallow Waters Using Gaofen-1 Wide-Field-of-View (GF-1 WFV) Datasets from Lake Taihu, China
Estimating Chlorophyll-a Concentrations in Optically Shallow Waters Using Gaofen-1 Wide-Field-of-View (GF-1 WFV) Datasets from Lake Taihu, China
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Estimating Chlorophyll-a Concentrations in Optically Shallow Waters Using Gaofen-1 Wide-Field-of-View (GF-1 WFV) Datasets from Lake Taihu, China

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1299 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071299

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14
Application of Deep Learning on Global Spaceborne Radar and Multispectral Imagery for the Estimation of Urban Surface Height Distribution
Application of Deep Learning on Global Spaceborne Radar and Multispectral Imagery for the Estimation of Urban Surface Height Distribution
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Application of Deep Learning on Global Spaceborne Radar and Multispectral Imagery for the Estimation of Urban Surface Height Distribution

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1297 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071297

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15
Enhancing Cross-Domain Remote Sensing Scene Classification by Multi-Source Subdomain Distribution Alignment Network
Enhancing Cross-Domain Remote Sensing Scene Classification by Multi-Source Subdomain Distribution Alignment Network
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Enhancing Cross-Domain Remote Sensing Scene Classification by Multi-Source Subdomain Distribution Alignment Network

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1302 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071302

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16
Land Use and Land Cover Classification with Deep Learning-Based Fusion of SAR and Optical Data
Land Use and Land Cover Classification with Deep Learning-Based Fusion of SAR and Optical Data
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Land Use and Land Cover Classification with Deep Learning-Based Fusion of SAR and Optical Data

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1298 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071298

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17
Comprehensive Assessment of Nine Fine-Resolution Global Forest Cover Products in the Three-North Shelter Forest Program Region
Comprehensive Assessment of Nine Fine-Resolution Global Forest Cover Products in the Three-North Shelter Forest Program Region
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Comprehensive Assessment of Nine Fine-Resolution Global Forest Cover Products in the Three-North Shelter Forest Program Region

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1296 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071296

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18
MMTSCNet: Multimodal Tree Species Classification Network for Classification of Multi-Source, Single-Tree LiDAR Point Clouds
MMTSCNet: Multimodal Tree Species Classification Network for Classification of Multi-Source, Single-Tree LiDAR Point Clouds
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MMTSCNet: Multimodal Tree Species Classification Network for Classification of Multi-Source, Single-Tree LiDAR Point Clouds

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1304 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071304

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19
Predictive Archaeological Risk Assessment at Reservoirs with Multitemporal LiDAR and Machine Learning (XGBoost): The Case of Valdecañas Reservoir (Spain)
Predictive Archaeological Risk Assessment at Reservoirs with Multitemporal LiDAR and Machine Learning (XGBoost): The Case of Valdecañas Reservoir (Spain)
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Predictive Archaeological Risk Assessment at Reservoirs with Multitemporal LiDAR and Machine Learning (XGBoost): The Case of Valdecañas Reservoir (Spain)

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1306 [Peer Reviewed Journal]

2025 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/rs17071306

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20
Absolute Vicarious Calibration, Extended PICS (EPICS) Based De-Trending and Validation of Hyperspectral Hyperion, DESIS, and EMIT
Absolute Vicarious Calibration, Extended PICS (EPICS) Based De-Trending and Validation of Hyperspectral Hyperion, DESIS, and EMIT
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Absolute Vicarious Calibration, Extended PICS (EPICS) Based De-Trending and Validation of Hyperspectral Hyperion, DESIS, and EMIT

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (7), p.1301 [Peer Reviewed Journal]

COPYRIGHT 2025 MDPI AG ;2025 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/rs17071301

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