Abstract | ||
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The goal of this study is to assess the performance of the active-passive algorithm for the NASA Soil Moisture Active Passive mission (SMAP) using airborne and ground observations from a field campaign. The SMAP active-passive algorithm disaggregates the coarse-resolution radiometer brightness temperature (TB) using high-resolution radar backscatter (σo) observations. The colocated TB and σo acqui... |
Year | DOI | Venue |
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2016 | 10.1109/LGRS.2015.2491643 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Soil moisture,Radiometry,Brightness temperature,Radar,Soil measurements,Temperature measurement | Meteorology,Radar,Vegetation,Brightness temperature,Radar backscatter,Remote sensing,Radiometry,Water content,Brightness,Mathematics,Radiometer | Journal |
Volume | Issue | ISSN |
13 | 4 | 1545-598X |
Citations | PageRank | References |
3 | 0.48 | 7 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Delphine J. Leroux | 1 | 208 | 16.35 |
Narendra N. Das | 2 | 8 | 3.84 |
Dara Entekhabi | 3 | 416 | 75.14 |
Andreas Colliander | 4 | 309 | 52.49 |
Eni G. Njoku | 5 | 522 | 67.07 |
Thomas J. Jackson | 6 | 1368 | 247.01 |
Simon H. Yueh | 7 | 686 | 146.14 |