Calibration of scattering models for growing corn and soybean at C-band using Sentinel-1 and RADARSAT-2 observations

Research output: Contribution to conferencePaper

Abstract

© 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 languageAmerican English
Pages2139-2141
Number of pages3
DOIs
StatePublished - 31 Oct 2018
EventInternational Geoscience and Remote Sensing Symposium (IGARSS) -
Duration: 31 Oct 2018 → …

Conference

ConferenceInternational Geoscience and Remote Sensing Symposium (IGARSS)
Period31/10/18 → …

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