2015 - SPIE Fellow
2014 - IEEE Fellow For contributions to active and passive microwave remote sensing
His primary areas of investigation include Remote sensing, Water content, Radiometry, Radiometer and Meteorology. His biological study spans a wide range of topics, including Snow and Brightness temperature. His Water content study combines topics from a wide range of disciplines, such as Soil science, Soil water and Radar imaging.
The concepts of his Radiometry study are interwoven with issues in Microwave radiometer and Hydrosphere. His Meteorology research includes themes of Soil map, Satellite remote sensing and Scale. In Soil map, Jiancheng Shi works on issues like Carbon sink, which are connected to Atmosphere.
His primary scientific interests are in Remote sensing, Water content, Snow, Meteorology and Radiometer. His work deals with themes such as Scattering, Satellite and Brightness temperature, which intersect with Remote sensing. The Water content study which covers L band that intersects with Polarization.
His Snow research includes elements of Ku band, Radiative transfer and Backscatter. He works on Meteorology which deals in particular with Data assimilation. His Radiometer research is multidisciplinary, incorporating elements of Enhanced vegetation index and Normalized Difference Vegetation Index.
His primary scientific interests are in Remote sensing, Satellite, Water content, Brightness temperature and Climatology. His work carried out in the field of Remote sensing brings together such families of science as Sky, Atmospheric correction, Longwave, Snow and Geostationary orbit. He works mostly in the field of Satellite, limiting it down to concerns involving Radiative transfer and, occasionally, Atmospheric model and Radiometry.
His Water content research incorporates elements of Moisture, Soil science, Evapotranspiration and L band. His research in Brightness temperature intersects with topics in Radiometer, Active passive, Atmospheric sciences, Thermal inertia and Incidence. In the subject of general Meteorology, his work in Precipitable water is often linked to Land based, thereby combining diverse domains of study.
Remote sensing, Climatology, Satellite, Land surface temperature and Mean squared error are his primary areas of study. His research in Radiometer and Radiance are components of Remote sensing. Radiometer connects with themes related to Water content in his study.
The concepts of his Climatology study are interwoven with issues in Cloud cover and Latitude. His biological study spans a wide range of topics, including Atmospheric radiative transfer codes and Atmospheric model. His work in the fields of Land surface temperature, such as Split window, overlaps with other areas such as Satellite geometry, Regression analysis and Pearson product-moment correlation coefficient.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Soil Moisture Active Passive (SMAP) Mission
Dara Entekhabi;Eni G Njoku;Peggy E O'Neill;Kent H Kellogg.
Proceedings of the IEEE (2010)
Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations
K.S. Chen;Tzong-Dar Wu;Leung Tsang;Qin Li.
IEEE Transactions on Geoscience and Remote Sensing (2003)
Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data
Jiancheng Shi;J. Wang;A.Y. Hsu;P.E. O'Neill.
IEEE Transactions on Geoscience and Remote Sensing (1997)
Improving land surface temperature modeling for dry land of China
Yingying Chen;Kun Yang;Jie He;Jun Qin.
Journal of Geophysical Research (2011)
The role of satellite remote sensing in climate change studies
Jun Yang;Peng Gong;Peng Gong;Peng Gong;Rong Fu;Minghua Zhang.
Nature Climate Change (2013)
The hydrosphere State (hydros) Satellite mission: an Earth system pathfinder for global mapping of soil moisture and land freeze/thaw
D. Entekhabi;E.G. Njoku;P. Houser;M. Spencer.
IEEE Transactions on Geoscience and Remote Sensing (2004)
Estimation of snow water equivalence using SIR-C/X-SAR. I. Inferring snow density and subsurface properties
J. Shi;J. Dozier.
IEEE Transactions on Geoscience and Remote Sensing (2000)
A practical split-window algorithm for retrieving land-surface temperature from MODIS data
K. Mao;Z. Qin;J. Shi;P. Gong.
International Journal of Remote Sensing (2005)
The Future of Earth Observation in Hydrology
Matthew F. McCabe;Matthew Rodell;Douglas E. Alsdorf;Diego G. Miralles.
Hydrology and Earth System Sciences (2017)
A transition model for the reflection coefficient in surface scattering
Tzong-Dar Wu;K.S. Chen;Jiancheng Shi;A.K. Fung.
IEEE Transactions on Geoscience and Remote Sensing (2001)
Remote Sensing of Environment
(Impact Factor: 13.85)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: