Results 171 to 180 of about 985 (191)

An Overview of NOAA CYGNSS Wind Product Version 1.0

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
In November 2019, the Ocean Surface Winds Team at NOAA-NESDIS-STAR released to the public their first version of sea surface winds for the Cyclone Global Navigation Satellite System (v1.0). The reported winds are provided on a 25km grid along each track. A boxcar averaging step is included in order to remove unwanted noise in the signal.
Faozi Saïd, Zorana Jelenak, Jeonghwan Park 0001, Qi Zhu 0009, Paul S. Chang   +4 more
openaire   +2 more sources

Analysis of Wetland Extent Retrieval Accuracy Using Cygnss

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Spaceborne GNSS Reflectometry (GNSS-R) measurements have shown strong coherent scattering over inland waters. It has been recognized that GNSS-R could be utilized for monitoring the global surface water distribution by making dynamic maps of wetlands as well as rapid response to flood events.
Eric Loria, Andrew O'Brien 0001, Valery U. Zavorotny, Marco Lavalle, Clara C. Chew, Rashmi Shah, Cinzia Zuffada   +6 more
openaire   +2 more sources

Global Soil Moisture Estimation Using CYGNSS Data

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
In this paper, an approach for estimating soil moisture (SM) from Cyclone Global Navigation Satellite System (CYGNSS) data is developed. Here, a three-layer model of air, vegetation cover, and soil is proposed. In application, the surface reflectivity along with its statistics are derived from the CYGNSS data and the ancillary vegetation opacity data ...
Qingyun Yan, Shuanggen Jin, Weimin Huang 0001, Yan Jia 0004   +3 more
openaire   +1 more source

A ‘Track-Wise’ Wind Retrieval Algorithm for the CYGNSS Mission

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The cyclone global navigation satellite system (CYGNSS), launched on December 15 2016, represents the first dedicated GNSS-R satellite mission specifically designed to retrieve ocean surface wind speeds in the Tropical Cyclone (TC) environment. The baseline wind retrieval algorithm for the CYGNSS mission makes use of two observables (the normalized bi ...
Faozi Said, Zorana Jelenak, Jeonghwang Park, Seubson Soisuvarn, Paul S. Chang   +4 more
openaire   +1 more source

Science Impacts of the NASA CYGNSS Mission

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
Christopher Ruf, Clara C. Chew, Mahta Moghaddam, Derek J. Posselt, Zhaoxia Pu   +4 more
openaire   +1 more source

Investigations into CYGNSS-Based Soil Moisture Retrieval Algorithms

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
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 ×
Orhan Eroglu, Dylan R. Boyd, Ali Cafer Gürbüz, Mehmet Kurum   +3 more
openaire   +2 more sources

CYGNSS Handbook

2022
openaire   +1 more source

CYGNSS Soil Moisture Estimations Based on Quality Control

IEEE Geoscience and Remote Sensing Letters, 2022
Fengyu Tang, Songhua Yan
openaire   +2 more sources

Spatial interpolation based on previously-observed behavior: a framework for interpolating spaceborne GNSS-R data from CYGNSS

Journal of Spatial Science, 2023
Clara Chew
exaly  

Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data

Remote Sensing of Environment, 2020
Qingyun Yan, Weimin Huang, Shuanggen Jin   +2 more
exaly