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Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (1), p.172

2024

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Spatial Scale Gap Filling Using an Unmanned Aerial System: A Statistical Downscaling Method for Applications in Precision Agriculture

Sensors (Basel, Switzerland), 2017-09, Vol.17 (9), p.2106

2017

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Linking Global Changes of Snowfall and Wet-Bulb Temperature

Journal of climate, 2020-01, Vol.33 (1), p.39-59

2020

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Evaluation of ShARP Passive Rainfall Retrievals over Snow-Covered Land Surfaces and Coastal Zones

Journal of hydrometeorology, 2016-04, Vol.17 (4), p.1013-1029

2016

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Soil moisture background error covariance and data assimilation in a coupled land‐atmosphere model

Water resources research, 2017-02, Vol.53 (2), p.1309-1335

2017

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Adapting Passive Microwave-Based Precipitation Algorithms to Variable Microwave Land Surface Emissivity to Improve Precipitation Estimation from the GPM Constellation

Journal of hydrometeorology, 2021-07, Vol.22 (7), p.1755-1781

2021

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A multi-sensor data-driven methodology for all-sky passive microwave inundation retrieval

Hydrology and earth system sciences, 2017-06, Vol.21 (6), p.2685-2700

2017

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Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (12), p.2264

2021

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Bias‐corrected data sets of climate model outputs at uniform space–time resolution for land surface modelling over Amazonia

International journal of climatology, 2017-02, Vol.37 (2), p.621-636

2017

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Ensemble Riemannian data assimilation over the Wasserstein space

Nonlinear processes in geophysics, 2021-07, Vol.28 (3), p.295-309

2021

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Dynamical Precipitation Downscaling for Hydrologic Applications Using WRF 4D-Var Data Assimilation: Implications for GPM Era

Journal of hydrometeorology, 2015-04, Vol.16 (2), p.811-829

2015

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Variational data assimilation via sparse regularisation

Tellus. Series A, Dynamic meteorology and oceanography, 2014-01, Vol.66 (1), p.21789-17

2014

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Compressive Earth observatory: An insight from AIRS/AMSU retrievals

Geophysical research letters, 2015-01, Vol.42 (2), p.362-369

2015

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Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite

Remote sensing of environment, 2020-03, Vol.239, p.111662, Article 111662

2020

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Optical Detection of Marine Debris using Deep Knockoff

IEEE transactions on geoscience and remote sensing, 2022-01, Vol.60, p.1-1

2022

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Constrained Inversion of a Microwave Snowpack Emission Model Using Dictionary Matching: Applications for GPM Satellite

IEEE transactions on geoscience and remote sensing, 2022-01, Vol.60, p.1-14

2022

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A physically constrained inversion for high-resolution passive microwave retrieval of soil moisture and vegetation water content in L-band

Remote sensing of environment, 2019-11, Vol.233, p.111346, Article 111346

2019

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Passive Microwave Retrieval of Soil Moisture Below Snowpack at L-Band Using SMAP Observations

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-16

2022

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Corrigendum to “Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite” [Remote Sens. Environ. 239 (2020) 111622]

Remote sensing of environment, 2020-04, Vol.240, p.111703, Article 111703

2020

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Reappraisal of SMAP inversion algorithms for soil moisture and vegetation optical depth

Remote sensing of environment, 2021-10, Vol.264, p.112627-17, Article 112627

2021

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Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data

Remote sensing of environment, 2024-05, Vol.306, p.114145, Article 114145

2024

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A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison

Remote sensing of environment, 2022-03, Vol.271, p.112921, Article 112921

2022

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Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture

Journal of hydrometeorology, 2024-06, Vol.25 (6), p.947-963

2024

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Shrunken Locally Linear Embedding for Passive Microwave Retrieval of Precipitation

IEEE transactions on geoscience and remote sensing, 2015-07, Vol.53 (7), p.3720-3736

2015

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A Spatially Constrained Multichannel Algorithm for Inversion of a First-Order Microwave Emission Model at L-Band

IEEE transactions on geoscience and remote sensing, 2020-11, Vol.58 (11), p.8134-8146

2020

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Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms

Spatial Scale Gap Filling Using an Unmanned Aerial System: A Statistical Downscaling Method for Applications in Precision Agriculture

Linking Global Changes of Snowfall and Wet-Bulb Temperature

Evaluation of ShARP Passive Rainfall Retrievals over Snow-Covered Land Surfaces and Coastal Zones

Soil moisture background error covariance and data assimilation in a coupled land‐atmosphere model

Adapting Passive Microwave-Based Precipitation Algorithms to Variable Microwave Land Surface Emissivity to Improve Precipitation Estimation from the GPM Constellation

A multi-sensor data-driven methodology for all-sky passive microwave inundation retrieval

Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset

Bias‐corrected data sets of climate model outputs at uniform space–time resolution for land surface modelling over Amazonia

Ensemble Riemannian data assimilation over the Wasserstein space

Dynamical Precipitation Downscaling for Hydrologic Applications Using WRF 4D-Var Data Assimilation: Implications for GPM Era

Variational data assimilation via sparse regularisation

Compressive Earth observatory: An insight from AIRS/AMSU retrievals

Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite

Optical Detection of Marine Debris using Deep Knockoff

Constrained Inversion of a Microwave Snowpack Emission Model Using Dictionary Matching: Applications for GPM Satellite

A physically constrained inversion for high-resolution passive microwave retrieval of soil moisture and vegetation water content in L-band

Passive Microwave Retrieval of Soil Moisture Below Snowpack at L-Band Using SMAP Observations

Corrigendum to “Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite” [Remote Sens. Environ. 239 (2020) 111622]

Reappraisal of SMAP inversion algorithms for soil moisture and vegetation optical depth

Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data

A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison

Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture

Shrunken Locally Linear Embedding for Passive Microwave Retrieval of Precipitation

A Spatially Constrained Multichannel Algorithm for Inversion of a First-Order Microwave Emission Model at L-Band

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