A Generic Level 1 Simulator for Spaceborne GNSS-R Missions and Application to GEROS-ISS Ocean Reflectometry

Park, Hyuk; Camps, Adriano; Pascual, Daniel; Kang, Yujin; Querol, Jorge; Alonso-Arroyo, A.

doi:10.1109/jstars.2017.2720625

Cited by 27 publications

(23 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The simulator has been developed and implemented efficiently by using the heritage of spaceborne GNSS-R ocean simulator "GARCA/GEROS-SIM M2" [17] as part of the ESA PARIS-IoD and GEROS-ISS projects. The land simulator uses many parts of the predecessor, e.g., the geometry, the DDM generation, and the instrument modules.…”

Section: Methodsmentioning

confidence: 99%

Sensitivity to Soil Moisture and Observation Geometry of Spaceborne GNSS-R Delay-Doppler Maps

Park¹,

Camps²,

Castellví³

et al. 2019

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

View full text Add to dashboard Cite

Thanks to the successful operations of the UK TDS-1 and NASA CYGNSS GNSS-R missions, a wealth of Delay-Doppler Maps (DDM) are being measured from the ocean, but also from land reflections. Using the land reflected DDM, several studies are being conducted to retrieve the land geophysical parameters, such as soil moisture, vegetation depth, and biomass. Although they have shown the dependence of the land geophysical parameters on the DDM, it is also shown that many other parameters impact the DDM. This work presents the impacts of some parameters on the DDM. For the systematical and efficient study, an E2E simulator is used. The simulator generates the synthesized DDM reflected over land varying the input parameters, which are the specular point position on the Earth, the elevation angle at the specular points, soil moisture, etc. From the simulation results, the relation between the input parameters and the DDM is individually analyzed, providing the clue to the retrieval algorithm of the geophysical parameters.

show abstract

Section: Methodsmentioning

confidence: 99%

Sensitivity to Soil Moisture and Observation Geometry of Spaceborne GNSS-R Delay-Doppler Maps

Park¹,

Camps²,

Castellví³

et al. 2019

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

View full text Add to dashboard Cite

show abstract

“…The required revisit time is 3 h, and the required spatial resolution is 1-25 km, with a speed accuracy of 5 m/s and 10 • in direction. A federation of three missions, Sentinel-3 (radar altimeter SRAL) and a specific combination with a constellation of Global Navigation Satellite Systems-Reflectometry (GNSS-R) instruments [12,13], microwave radiometer, altimeter radar [14] and SAR on small platforms, could improve the accuracy and the revisit time efficiently.…”

Section: Ocean Surface Currentsmentioning

confidence: 99%

Gaps Analysis and Requirements Specification for the Evolution of Copernicus System for Polar Regions Monitoring: Addressing the Challenges in the Horizon 2020–2030

et al. 2018

Self Cite

View full text Add to dashboard Cite

This work was developed as part of the European H2020 ONION (Operational Network of Individual Observation Nodes) project, aiming at identifying the technological opportunity areas to complement the Copernicus space infrastructure in the horizon 2020-2030 for polar region monitoring. The European Earth Observation (EO) infrastructure is assessed through of comprehensive end-user need and data gap analysis. This review was based on the top 10 use cases, identifying 20 measurements with gaps and 13 potential EO technologies to cover the identified gaps. It was found that the top priority is the observation of polar regions to support sustainable and safe commercial activities and the preservation of the environment. Additionally, an analysis of the technological limitations based on measurement requirements was performed. Finally, this analysis was used for the basis of the architecture design of a potential polar mission.

show abstract

“…The simulator tool PAU/PARIS End-to-end Performance Simulator (P 2 EPS) [42,43] used in this study is based on the scattering model described in Section 2.1. The observation geometry for the simulation is illustrated in Figure 2.…”

Section: Simulation Studiesmentioning

confidence: 99%

“…The wind speed (|v w |) is set to 5, 10, 15, 20, and 25 m/s. The DDMs are then simulated under the different combinations of the mentioned parameters, including speckle and thermal noises to mimic the real scenes [42,43]. After the generation of the DDMs, the noise-free DDM for a wind direction of 0 • is subtracted from the noise-free DDMs to investigate the shape and power changes of DDMs caused by the wind direction.…”

Section: Simulation Studiesmentioning

confidence: 99%

Wind Direction Signatures in GNSS-R Observables from Space

et al. 2018

Self Cite

View full text Add to dashboard Cite

Wind speed and direction are important essential climate variables (ECVs). GNSS-R is an emerging remote sensing technique that can be potentially used to retrieve wind speed from space. However, few studies have addressed the wind direction retrieval from spaceborne GNSS-R observables, namely the Delay Doppler map (DDM). In this study, the feasibility of retrieving wind direction from the synthetic DDMs is analyzed. First, the simulation tool P 2 EPS is used to generate the DDMs under different geometry configurations, wind speed, and wind direction. Then, DDM changes caused by the wind direction are investigated, and two metrics are proposed to retrieve the wind direction from the DDM shape changes. The influence on wind direction retrieval of the wind speed, receiver's elevation, and azimuth is further discussed. Finally, the sensitivity of DDM changes to noise is investigated, as well as the impact of noise on these two metrics.

show abstract

A Generic Level 1 Simulator for Spaceborne GNSS-R Missions and Application to GEROS-ISS Ocean Reflectometry

Cited by 27 publications

References 47 publications

Sensitivity to Soil Moisture and Observation Geometry of Spaceborne GNSS-R Delay-Doppler Maps

Sensitivity to Soil Moisture and Observation Geometry of Spaceborne GNSS-R Delay-Doppler Maps

Gaps Analysis and Requirements Specification for the Evolution of Copernicus System for Polar Regions Monitoring: Addressing the Challenges in the Horizon 2020–2030

Wind Direction Signatures in GNSS-R Observables from Space

Contact Info

Product

Resources

About