Investigations into CYGNSS-based soil moisture retrieval algorithms

Orhan Eroglu, Dylan R. Boyd, Ali C. Gurbuz, Mehmet Kurum

Research output: AbstractPaperpeer-review

1 Scopus citations

Abstract

NASA’s Cyclone Global Navigation Satellite System (CYGNSS) receives the forward scattered L-band GNSS signals between ±37 latitudes. The received signals over land are previously shown to be highly sensitive to surface soil moisture (SM). Assuming coherent reflections over land, the CYGNSS bistatic radars can provide a spatial resolution of around 7 x 0.5 km and a revisit time of 1-2 days. SM retrieval at such a high spatio-temporal resolution could help advance hydro-meteorology and agriculture applications. This study examines case scenarios for determining the relations of CYGNSSdeliverables and available SM data as well as specifying the requirements for CYGNSS-derived SM retrieval. Preliminary results demonstrate moderate correlation between CYGNSS measurements and SMAP SM. However, the results also show that accurate derivation of high spatio-temporal SM products from CYGNSS measurements is a challenging problem due to the heterogeneous land covers, varying topography, and surface roughness.

Original languageEnglish
Pages6211-6214
Number of pages4
DOIs
StatePublished - 2019
Event39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
Duration: Jul 28 2019Aug 2 2019

Conference

Conference39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/TerritoryJapan
CityYokohama
Period07/28/1908/2/19

Keywords

  • CYGNSS
  • GNSS-R
  • Soil moisture retrieval

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