Author of the publication

Evaluation of A Physically-Based Passive Microwave Land Surface Temperature Retrieval Algorithm Using MODIS Data.

, , , , , , , , , , and . IGARSS, page 7132-7135. IEEE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Intercomparison of AMSR2- and MODIS-Derived Land Surface Temperature Under Clear-Sky Conditions., , , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 12 (9): 3286-3294 (2019)1Estimation of Spatially Complete Land Surface Evapotranspiration Over The Heihe River Basin., , , , , , , , , and . IGARSS, page 1833-1836. IEEE, (2019)New Perspective on Global Thermal Environment Monitoring., , , , , , , and . IGARSS, page 1657-1660. IEEE, (2019)Comparison OF AMSR-E soil moisture product and ground-based measurement over agricultural areas in China., , , , and . IGARSS, page 673-676. IEEE, (2015)Retrieval of Land Surface Temperature and Soil Moisture from Passive Microwave Observations., , , , , , and . IGARSS, page 6190-6193. IEEE, (2021)Simultaneous Retrieval of Land Surface Temperature and Soil Moisture Using Multichannel Passive Microwave Data., , , , , and . IEEE Trans. Geosci. Remote. Sens., (2024)Evaluation of A Physically-Based Passive Microwave Land Surface Temperature Retrieval Algorithm Using MODIS Data., , , , , , , , , and 1 other author(s). IGARSS, page 7132-7135. IEEE, (2019)Improvement of Split-Window Algorithm for Land Surface Temperature Retrieval from Sentinel-3A SLSTR Data Over Barren Surfaces Using ASTER GED Product., , , , , , , and . Remote Sensing, 11 (24): 3025 (2019)Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions., , , , , , , and . Remote. Sens., 12 (16): 2573 (2020)A framework for estimating all-weather fine resolution soil moisture from the integration of physics-based and machine learning-based algorithms., , , , , , and . Comput. Electron. Agric., (March 2023)