Frontiers in Remote Sensing

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[Frontiers in Remote Sensing @FrontRSens]

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[Frontiers in Remote Sensing @FrontRSens]

New Research: Machine learning versus deep learning in land system science: a decision-making framework for effective land classification https://t.co/6KsMEqwuQ2 #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: A new spectrally-invariant approach to the remote sensing of inhomogeneous clouds https://t.co/wFtJd1djXn #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Assessing the time variability of GIEMS-2 satellite-derived surface water extent over 30 years https://t.co/x5y3NxPj4w #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Investigating Earth surface deformation with SAR interferometry and geomodeling in the transborder Meuse–Rhine region https://t.co/IyVGHmjImp #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Breakthroughs in satellite remote sensing of floods https://t.co/E8kaxX284i #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Utilising LANDHYPERNET data products over a deciduous broadleaf forest to validate Sentinel-2 and Landsat surface reflectance products https://t.co/UnsrUO52Jg #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings https://t.co/rqcRIj0yef #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: HYPERNETS: a network of automated hyperspectral radiometers to validate water and land surface reflectance (380–1680 nm) from all satellite missions https://t.co/6Qdvd3WKy2 #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Complete characterization of ocean color radiometers https://t.co/qoJDqCiSSO #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Evaluating the potential for efficient, UAS-based reach-scale mapping of river channel bathymetry from multispectral images https://t.co/e4WUcypyX8 #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Editorial: Women in remote sensing: 2022 https://t.co/RfCtqT7zOy #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Using the automated HYPERNETS hyperspectral system for multi-mission satellite ocean colour validation in the Río de la Plata, accounting for different spatial resolutions https://t.co/arVyGOTq2t #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: A new framework for improving semantic segmentation in aerial imagery https://t.co/XDPNWXRfLh #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure https://t.co/eI2PbaC2PV #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: An integrated hierarchical classification and machine learning approach for mapping land use and land cover in complex social-ecological systems https://t.co/3jRcBI9gTH #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Secure learning-based coordinated UAV–UGV framework design for medical waste transportation https://t.co/4WfnMEQDGk #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Reconstructing hyper-spectral downwelling irradiance from multi-spectral measurements https://t.co/hl1rHLXW9P #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Recent advances and challenges in monitoring and modeling of disturbances in tropical moist forests https://t.co/6DqT8MTOFX #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: Spectral imaging of grass species in arid ecosystems of Namibia https://t.co/uELwM4ka3S #RemoteSensing

[Frontiers in Remote Sensing @FrontRSens]

New Research: A global implementation of the rural access index https://t.co/xyMv1yv5jS #RemoteSensing