Precise Orbit and Baseline Determination for the SAOCOM-CS Bistatic Radar Mission

Montenbruck, Oliver; Allende-Alba, Gerardo; Rosello, Josep; Tossaint, Michel; Zangerl, Franz

doi:10.1002/navi.216

Cited by 11 publications

(1 citation statement)

References 18 publications

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“…DiffInSAR (in areas with no or sparse vegetation) PSI (essentially in urban areas, dense time series available almost globally since end of 2014) C-band [317,321] RADARSAT- 2 3 DiffInSAR (in areas with no or sparse vegetation) PSI (essentially in urban areas, dense time series rarely available) C-band [322,323] DiffInSAR (in non-forested areas) PSI (essentially in urban areas, long and dense time series rarely available) L-band [325] Airborne LiDAR 2 , e.g., Optech ALTM Gemini LiDAR (four return, echo intensity recording), for changes in the order of dm or more One laser, max. 167,000 shots/s [71,319,326,327] UAV photogrammetry 1 , e.g., Octocopter X8000 (platform, gimbal, various camera systems)…”

Section: Cosmo Skymedmentioning

confidence: 99%

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Lausch

Schaepman

Skidmore³

et al. 2020

Remote Sensing

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The status, changes, and disturbances in geomorphological regimes can be regarded as controlling and regulating factors for biodiversity. Therefore, monitoring geomorphology at local, regional, and global scales is not only necessary to conserve geodiversity, but also to preserve biodiversity, as well as to improve biodiversity conservation and ecosystem management. Numerous remote sensing (RS) approaches and platforms have been used in the past to enable a cost-effective, increasingly freely available, comprehensive, repetitive, standardized, and objective monitoring of geomorphological characteristics and their traits. This contribution provides a state-of-the-art review for the RS-based monitoring of these characteristics and traits, by presenting examples of aeolian, fluvial, and coastal landforms. Different examples for monitoring geomorphology as a crucial discipline of geodiversity using RS are provided, discussing the implementation of RS technologies such as LiDAR, RADAR, as well as multi-spectral and hyperspectral sensor technologies. Furthermore, data products and RS technologies that could be used in the future for monitoring geomorphology are introduced. The use of spectral traits (ST) and spectral trait variation (STV) approaches with RS enable the status, changes, and disturbances of geomorphic diversity to be monitored. We focus on the requirements for future geomorphology monitoring specifically aimed at overcoming some key limitations of ecological modeling, namely: the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems. This paper aims to impart multidimensional geomorphic information obtained by RS for improved utilization in biodiversity monitoring.

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Section: Cosmo Skymedmentioning

confidence: 99%

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Lausch

Schaepman

Skidmore³

et al. 2020

Remote Sensing

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Satellite laser ranging to low Earth orbiters: orbit and network validation

Arnold

Montenbruck

Hackel

et al. 2018

J Geod

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Satellite laser ranging (SLR) to low Earth orbiters (LEOs) provides optical distance measurements with mm-to cm-level precision. SLR residuals, i.e., differences between measured and modeled ranges, serve as a common figure of merit for the quality assessment of orbits derived by radiometric tracking techniques. We discuss relevant processing standards for the modeling of SLR observations and highlight the importance of line-of-sight dependent range corrections for the various types of laser retroreflector ararys (LRAs). A 1-3 cm consistency of SLR observations and GPSbased precise orbits is demonstrated for a wide range of past and present LEO missions supported by the International Laser Ranging Service (ILRS). A parameter estimation approach is presented to investigate systematic orbit errors and it is shown that SLR validation of LEO satellites is not only able to detect radial but also along-track and cross-track offsets. SLR residual statistics clearly depend on the employed precise orbit determination technique (kinematic vs. reduced-dynamic, float vs. fixed ambiguities) but also reveal pronounced differences in the ILRS station performance. Using the residuals-based parameter estimation approach, corrections to ILRS station coordinates, range bi

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Relative positioning of formation-flying spacecraft using single-receiver GPS carrier phase ambiguity fixing

et al. 2018

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Precise Orbit and Baseline Determination for the SAOCOM-CS Bistatic Radar Mission

Cited by 11 publications

References 18 publications

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Satellite laser ranging to low Earth orbiters: orbit and network validation

Relative positioning of formation-flying spacecraft using single-receiver GPS carrier phase ambiguity fixing

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