Aolin Jia

University of Maryland

United States

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Articles (11)

Different Satellite Products Revealing Variable Trends in Global Gross Primary Production

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Year:

2023

Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data

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Year:

2023

Assessing the Reliability of the MODIS LST Product to Detect Temporal Variability

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Year:

2023

Assessment of gridded datasets of various near surface temperature variables over Heihe River Basin: Uncertainties, spatial heterogeneity and clear-sky bias

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Year:

2023

Assessing the Reliability of the MODIS LST Product to Detect Temporal Variability

Article Link

Year:

2023

Global land surface 250 m 8 d fraction of absorbed photosynthetically active radiation (FAPAR) product from 2000 to 2021

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Year:

2022

Global Daily Actual and Snow‐Free Blue‐Sky Land Surface Albedo Climatology From 20‐Year MODIS Products

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Year:

2022

A machine learning method trained by radiative transfer model inversion for generating seven global land and atmospheric estimates from VIIRS top-of-atmosphere observations

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Year:

2022

Estimating global downward shortwave radiation from VIIRS data using a transfer-learning neural network

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Year:

2022

Exploration of a novel geoengineering solution: Lighting up tropical forests at night

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Year:

2022

Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data

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Year:

2022

Collaborators (2)

Zhihao Wang

University of Maryland at College Park

UNITED STATES

shunlin liang

Professor

University of Maryland

UNITED STATES

Aolin Jia

Research Interests

Explore related searches

Contact this professor

Articles (11)

Different Satellite Products Revealing Variable Trends in Global Gross Primary Production

Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data

Assessing the Reliability of the MODIS LST Product to Detect Temporal Variability

Assessment of gridded datasets of various near surface temperature variables over Heihe River Basin: Uncertainties, spatial heterogeneity and clear-sky bias

Assessing the Reliability of the MODIS LST Product to Detect Temporal Variability

Global land surface 250 m 8 d fraction of absorbed photosynthetically active radiation (FAPAR) product from 2000 to 2021

Global Daily Actual and Snow‐Free Blue‐Sky Land Surface Albedo Climatology From 20‐Year MODIS Products

A machine learning method trained by radiative transfer model inversion for generating seven global land and atmospheric estimates from VIIRS top-of-atmosphere observations

Estimating global downward shortwave radiation from VIIRS data using a transfer-learning neural network

Exploration of a novel geoengineering solution: Lighting up tropical forests at night

Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data

Collaborators (2)

Zhihao Wang

shunlin liang

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