Remote Sensing MDPI (@remotesens_mdpi) 's Twitter Profile
Remote Sensing MDPI

@remotesens_mdpi

No. 1 #remotesensing #openaccess journal in Remote Sensing Category in #WoS, published by @MDPIOpenAccess; IF 2023 4.2; CiteScore 2023 8.3; #mdpiremotesensing

ID: 3376897745

linkhttp://www.mdpi.com/journal/remotesensing calendar_today15-07-2015 05:11:07

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A Principal Component Analysis Methodology of #OilSpill Detection and Monitoring Using #Satellite Remote Sensing Sensors ✍️by Niyazi Arslan, Meysam Majidi Nezhad, Azim Heydari, Davide Astiaso Garcia and Georgios Sylaios 🔗Read the full paper: brnw.ch/21wMiBH

A Principal Component Analysis Methodology of #OilSpill Detection and Monitoring Using #Satellite Remote Sensing Sensors
✍️by Niyazi Arslan, Meysam Majidi Nezhad, Azim Heydari, Davide Astiaso Garcia and Georgios Sylaios
🔗Read the full paper: brnw.ch/21wMiBH
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Global #WaterQuality of Inland Waters with Harmonized #Landsat-8 and #Sentinel-2 Using Cloud-Computed #MachineLearning ✍️by Leonardo F. Arias-Rodriguez, Ulaş Firat Tüzün, Zheng Duan, Jingshui Huang, Ye Tuo and Markus Disse 🔗Read the full paper: brnw.ch/21wMiCi

Global #WaterQuality of Inland Waters with Harmonized #Landsat-8 and #Sentinel-2 Using Cloud-Computed #MachineLearning
✍️by Leonardo F. Arias-Rodriguez, Ulaş Firat Tüzün, Zheng Duan, Jingshui Huang, Ye Tuo and Markus Disse
🔗Read the full paper: brnw.ch/21wMiCi
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Projection of Future Extreme #Precipitation in China Based on the #CMIP6 from a #MachineLearning Perspective by Yilin Yan et al. 🔗Access the full paper: brnw.ch/21wMiCv

Projection of Future Extreme #Precipitation in China Based on the #CMIP6 from a #MachineLearning Perspective
by Yilin Yan et al.
🔗Access the full paper: brnw.ch/21wMiCv
Ben Moore 🐨 🍃 (@blinkybenjy) 's Twitter Profile Photo

Congratulations to Ivan Kotzur for his first PhD publication quantifying the extent of koala habitat contraction during drought #koala Western Sydney - HIE mdpi.com/2941520 #mdpiremotesensing via Remote Sensing MDPI

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🌟Exciting News🌟 🎉We're thrilled to announce Prof. Massimiliano Pieraccini as the new Section Editor-in-Chief for "Engineering Remote Sensing" at our journal! 🔗Read more about this milestone and Prof. Pieraccini's insights here: brnw.ch/21wMjNB

🌟Exciting News🌟 
🎉We're thrilled to announce Prof. Massimiliano Pieraccini as the new Section Editor-in-Chief for "Engineering Remote Sensing" at our journal! 
🔗Read more about this milestone and Prof. Pieraccini's insights here: brnw.ch/21wMjNB
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#callforreading Atmospheric #WaterVapor Variability over Houston: Continuous #GNSS Tomography in the Year of #Hurricane Harvey (2017) ✍️by Pedro Mateus, João Catalão, Rui Fernandes and Pedro M. A. Miranda 🔗mdpi.com/2934894

#callforreading
Atmospheric #WaterVapor Variability over Houston: Continuous #GNSS Tomography in the Year of #Hurricane Harvey (2017)
✍️by Pedro Mateus, João Catalão, Rui Fernandes and Pedro M. A. Miranda
🔗mdpi.com/2934894
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#Lunar Crater Detection on #DigitalElevation Model: A Complete Workflow Using #DeepLearning and Its Application ✍️by Xuxin Lin et al. 🔗Read the full paper: brnw.ch/21wMlIC

#Lunar Crater Detection on #DigitalElevation Model: A Complete Workflow Using #DeepLearning and Its Application
✍️by Xuxin Lin et al.
🔗Read the full paper: brnw.ch/21wMlIC
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Characteristics and Formation Conditions of Thin #Phytoplankton Layers in the Northern Gulf of Mexico Revealed by Airborne #Lidar by Yichen Yang et al. 🔗Read the full paper: brnw.ch/21wMlJf

Characteristics and Formation Conditions of Thin #Phytoplankton Layers in the Northern Gulf of Mexico Revealed by Airborne #Lidar
by Yichen Yang et al.
🔗Read the full paper: brnw.ch/21wMlJf
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Unsupervised Domain Adaptation with Adversarial Self-Training for #Crop Classification Using #RemoteSensing Images ✍️by Geun-Ho Kwak and No-Wook Park 🔗Full paper: brnw.ch/21wMlJM

Unsupervised Domain Adaptation with Adversarial Self-Training for #Crop Classification Using #RemoteSensing Images
✍️by Geun-Ho Kwak and No-Wook Park 
🔗Full paper: brnw.ch/21wMlJM
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A Comprehensive Study on Factors Affecting the Calibration of Potential #Evapotranspiration Derived from the Thornthwaite Model by Haobo Li et al. #GNSS 🔗Read the full paper: brnw.ch/21wMlKQ

A Comprehensive Study on Factors Affecting the Calibration of Potential #Evapotranspiration Derived from the Thornthwaite Model
by Haobo Li et al.
#GNSS
🔗Read the full paper: brnw.ch/21wMlKQ
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CAiTST: Conv-Attentional #Image Time Sequence #Transformer for #Ionospheric TEC Maps Forecast by Guozhen Xia et al. 🔗Read the full paper: brnw.ch/21wMlRt

CAiTST: Conv-Attentional #Image Time Sequence #Transformer for #Ionospheric TEC Maps Forecast
by Guozhen Xia et al.
🔗Read the full paper: brnw.ch/21wMlRt
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Impacts of FY-4A AGRI Radiance Data Assimilation on the Forecast of the Super #Typhoon “In-Fa” (2021) ✍️by Xuewei Zhang, Dongmei Xu, Ruixia Liu and Feifei She 🔗Read the full paper: brnw.ch/21wMmkx

Impacts of FY-4A AGRI Radiance Data Assimilation on the Forecast of the Super #Typhoon “In-Fa” (2021)
✍️by Xuewei Zhang, Dongmei Xu, Ruixia Liu and Feifei She
🔗Read the full paper: brnw.ch/21wMmkx
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A Framework Integrating DeeplabV3+, Transfer Learning, Active Learning, and Incremental Learning for Mapping #Building Footprints ✍️by Zhichao Li and Jinwei Dong 🔗Read the full paper: brnw.ch/21wMmkB

A Framework Integrating DeeplabV3+, Transfer Learning, Active Learning, and Incremental Learning for Mapping #Building Footprints
✍️by Zhichao Li and Jinwei Dong
🔗Read the full paper: brnw.ch/21wMmkB
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#Building Extraction and Floor Area Estimation at the Village Level in Rural China Via a Comprehensive Method Integrating #UAV #Photogrammetry and the Novel EDSANet ✍️by Jie Zhou et al. 🔗Read the full paper: brnw.ch/21wMmB7

#Building Extraction and Floor Area Estimation at the Village Level in Rural China Via a Comprehensive Method Integrating #UAV #Photogrammetry and the Novel EDSANet
✍️by Jie Zhou et al.
🔗Read the full paper: brnw.ch/21wMmB7
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🌟New Research Alert🌟 The #Ecological Economics of Light Pollution: Impacts on Ecosystem Service Value by Sharolyn J. Anderson, Ida Kubiszewski and Paul C. Sutton 🔗Read the full article: brnw.ch/21wMoGV #LightPollution #RemoteSensing #SDG

🌟New Research Alert🌟
The #Ecological Economics of Light Pollution: Impacts on Ecosystem Service Value
by Sharolyn J. Anderson, Ida Kubiszewski and Paul C. Sutton
🔗Read the full article: brnw.ch/21wMoGV
#LightPollution #RemoteSensing #SDG