All-Season Liquid Soil Moisture Retrieval From SMAP.
,
,
,
,
,
,
,
,
,
,
,
,
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Validation Of Satellite Soil Moisture Products In China Using Ground-Based Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Global Characterizations of Drydown Events from a Long-Term Satellite Soil Moisture Dataset.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
An Intercomparison Study of Algorithms for SMAP Brightness Temperature Resolution Enhancement With or Without Information From AMSR2.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Soil Moisture Retrieval Only Using Smap L-Band Radar Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
An L-Band Brightness Temperature Disaggregation Method Using S-Band Radiometer Data for the Water Cycle Observation Mission (WCOM).
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Estimating Surface Soil Moisture from AMSR2 Tb with Artificial Neural Network Method and SMAP Products.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Correction: Yao, P. et al. Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopted the Microwave Vegetation Index. <i>Remote Sens.</i> 2017, <i>9</i>, 35.
Remote. Sens., 2017
Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopting the Microwave Vegetation Index.
Remote. Sens., 2017
Covariation of SMAP active and passive measurements with respect to vegetation and surface roughness.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
L-band brightness temperature disaggregation by using S-band C-band radiometer data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Estimating daytime surface air temperature using multi-source remote sensing and climate reanalysis data at glacierized basins: A case study at Langtang valley, Nepal.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Global mapping of land surface soil moisture from the water cycle observation mission (WCOM).
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016