© 2018 IEEE Soil moisture (SM) is an important land surface variable for understanding the water cycle, ecosystem productivity, and linkages between water-carbon cycles. For SM studies, observations at microwave frequencies < 10 GHz are more desirable due to larger penetration depths. The NASA Soil Moisture Active/Passive (SMAP) mission provides global observations of SM using passive sensor at L-band. Current active C-band systems such as Sentinel 1 have shown potentialities to estimate SM and improve spatial resolution of SM data from passive sensors. In addition to the SM sensitivity, radar backscatter is highly sensitive to roughness of soil surface and scattering within the vegetation. Despite much progress in the development of backscattering models, there is still a gap in validating such models under dynamic vegetation conditions such agricultural crops. The goal of this study is to calibrate coherent and incoherent backscattering models for corn and soybean using Sentinel 1 and Radarsat-2 observations.
|Original language||American English|
|Number of pages||3|
|State||Published - 31 Oct 2018|
|Event||International Geoscience and Remote Sensing Symposium (IGARSS) - |
Duration: 31 Oct 2018 → …
|Conference||International Geoscience and Remote Sensing Symposium (IGARSS)|
|Period||31/10/18 → …|