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A Surface Freeze-thaw Cycle Detecting Framework Based on Passive Microwave Data for the Alpine Zone: A Case Study of Three River Source Region in the Qinghai-Tibetan Plateau

IEEE journal of selected topics in applied earth observations and remote sensing, 2024-11, p.1-13

2024

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Utility of L-band and X-band vegetation optical depth to examine vegetation response to soil moisture droughts in South Asia

Remote sensing of environment, 2024-02, Vol.301, p.113933, Article 113933

2024

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Refinement of NOAA AMSR-2 Soil Moisture Data Product: 2. Development with the Optimal Machine Learning Model

IEEE transactions on geoscience and remote sensing, 2023-05, p.1-1

2023

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Refinement of NOAA AMSR-2 Soil Moisture Data Product: 1. Inter-comparisons of the Commonly-used Machine Learning Models

IEEE transactions on geoscience and remote sensing, 2023-05, p.1-1

2023

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Detection of Soil Freeze/thaw States at A High Spatial Resolution in Qinghai-Tibet Engineering Corridor

IEEE geoscience and remote sensing letters, 2022-01, Vol.19, p.1-1

2022

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Deep Learning-Based Sea Ice Classification with Sentinel-1 and AMSR-2 Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2023-01, Vol.16, p.1-13

2023

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Microwave Emission Model for Layered Vegetation (MEMLV): An Exemplary Study for Coniferous Forests from P- to Ka-Band

IEEE transactions on geoscience and remote sensing, 2024, p.1-1

2024

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Sea ice concentration inversion based on ASI algorithm combined with Bootstrap algorithm

Ecological indicators, 2024-01, Vol.158, p.111484, Article 111484

2024

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Retrieving Precipitable Water Vapor Over Land From Satellite Passive Microwave Radiometer Measurements Using Automated Machine Learning

Geophysical research letters, 2023-11, Vol.50 (22), p.n/a

2023

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Estimation of root zone soil moisture using passive microwave remote sensing: A case study for rice and wheat crops for three states in the Indo-Gangetic basin

Journal of environmental management, 2019-03, Vol.234, p.75-89

2019

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Vegetation moisture estimation in the Western United States using radiometer-radar-lidar synergy

Remote sensing of environment, 2024-03, Vol.303, p.113993, Article 113993

2024

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Refinement of NOAA AMSR-2 Soil Moisture Data Product: 1. Intercomparisons of the Commonly Used Machine-Learning Models

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-10

2023

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Refinement of NOAA AMSR-2 Soil Moisture Data Product—Part 2: Development With the Optimal Machine Learning Model

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-11

2023

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An improved non-linear inter-calibration method on different radiometers for enhancing coverage of daily LST estimates in low latitudes

Remote sensing of environment, 2021-10, Vol.264, p.112626, Article 112626

2021

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Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-15

2022

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Passive Microwave Remote Sensing of Snow Depth: Techniques, Challenges and Future Directions

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (4), p.1052

2023

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Sea ice concentration inversion based on different Arctic sea ice types

Frontiers in Marine Science, 2024-07, Vol.11

2024

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New approach for severe marine weather study using satellite passive microwave sensing

Geophysical research letters, 2013-07, Vol.40 (13), p.3347-3350

2013

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Downscaling Land Surface Temperature Derived from Microwave Observations with the Super-Resolution Reconstruction Method: A Case Study in the CONUS

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (5), p.739

2024

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Land Surface Temperature Derivation under All Sky Conditions through Integrating AMSR-E/AMSR-2 and MODIS/GOES Observations

Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (14), p.1704

2019

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Intercomparison of Total Precipitable Water Derived From COSMIC-2 and Three Different Microwave Radiometers Over the Ocean

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-10

2022

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Retrieval of All-Weather 1 km Land Surface Temperature from Combined MODIS and AMSR2 Data over the Tibetan Plateau

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4574

2021

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Development of High-Resolution Soil Hydraulic Parameters with Use of Earth Observations for Enhancing Root Zone Soil Moisture Product

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (3), p.706

2023

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Effect of Radio Frequency Interference-Contaminated AMSR2 Signal Restoration on Soil Moisture Retrieval

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (19), p.4796

2022

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Ice Production in Ross Ice Shelf Polynyas during 2017–2018 from Sentinel–1 SAR Images

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1484

2020

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A Surface Freeze-thaw Cycle Detecting Framework Based on Passive Microwave Data for the Alpine Zone: A Case Study of Three River Source Region in the Qinghai-Tibetan Plateau

Utility of L-band and X-band vegetation optical depth to examine vegetation response to soil moisture droughts in South Asia

Refinement of NOAA AMSR-2 Soil Moisture Data Product: 2. Development with the Optimal Machine Learning Model

Refinement of NOAA AMSR-2 Soil Moisture Data Product: 1. Inter-comparisons of the Commonly-used Machine Learning Models

Detection of Soil Freeze/thaw States at A High Spatial Resolution in Qinghai-Tibet Engineering Corridor

Deep Learning-Based Sea Ice Classification with Sentinel-1 and AMSR-2 Data

Microwave Emission Model for Layered Vegetation (MEMLV): An Exemplary Study for Coniferous Forests from P- to Ka-Band

Sea ice concentration inversion based on ASI algorithm combined with Bootstrap algorithm

Retrieving Precipitable Water Vapor Over Land From Satellite Passive Microwave Radiometer Measurements Using Automated Machine Learning

Estimation of root zone soil moisture using passive microwave remote sensing: A case study for rice and wheat crops for three states in the Indo-Gangetic basin

Vegetation moisture estimation in the Western United States using radiometer-radar-lidar synergy

Refinement of NOAA AMSR-2 Soil Moisture Data Product: 1. Intercomparisons of the Commonly Used Machine-Learning Models

Refinement of NOAA AMSR-2 Soil Moisture Data Product—Part 2: Development With the Optimal Machine Learning Model

An improved non-linear inter-calibration method on different radiometers for enhancing coverage of daily LST estimates in low latitudes

Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions

Passive Microwave Remote Sensing of Snow Depth: Techniques, Challenges and Future Directions

Sea ice concentration inversion based on different Arctic sea ice types

New approach for severe marine weather study using satellite passive microwave sensing

Downscaling Land Surface Temperature Derived from Microwave Observations with the Super-Resolution Reconstruction Method: A Case Study in the CONUS

Land Surface Temperature Derivation under All Sky Conditions through Integrating AMSR-E/AMSR-2 and MODIS/GOES Observations

Intercomparison of Total Precipitable Water Derived From COSMIC-2 and Three Different Microwave Radiometers Over the Ocean

Retrieval of All-Weather 1 km Land Surface Temperature from Combined MODIS and AMSR2 Data over the Tibetan Plateau

Development of High-Resolution Soil Hydraulic Parameters with Use of Earth Observations for Enhancing Root Zone Soil Moisture Product

Effect of Radio Frequency Interference-Contaminated AMSR2 Signal Restoration on Soil Moisture Retrieval

Ice Production in Ross Ice Shelf Polynyas during 2017–2018 from Sentinel–1 SAR Images

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