The ESA Passive Reflectometry and Dosimetry (Pretty) Mission

Dielacher, Andreas; Fragner, Heinrich; Koudelka, Otto; Beck, P.; Wickert, Jens; Cardellach, Estel; Høeg, Per

doi:10.1109/igarss.2019.8898720

Cited by 6 publications

(1 citation statement)

References 8 publications

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“…In addition to above-mentioned GNSS-R missions in orbit, some other spaceborne missions have been proposed or under study to use reflected GNSS signals and other signals of opportunity for different geophysical applications, such as PARIS in-orbit demonstrator mission [55], PRETTY mission [56], Cookie concept [57], ³CAT-2 mission [58], G-TERN mission [22], HydroGNSS mission [23], TRITON mission [59], and SNOOPI mission [60], which are not explained in detail in this paper.…”

Section: Uk-dmcmentioning

confidence: 99%

Exploration of Multi-Mission Spaceborne GNSS-R Raw IF Data Sets: Processing, Data Products and Potential Applications

Cardellach

Ribó

et al. 2022

Remote Sensing

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Earth reflected Global Navigation Satellite System (GNSS) signals can be received by dedicated orbital receivers for remote sensing and Earth observation (EO) purposes. Different spaceborne missions have been launched during the past years, most of which can only provide the delay-Doppler map (DDM) of the power of the reflected GNSS signals as their main data products. In addition to the power DDM products, some of these missions have collected a large amount of raw intermediate frequency (IF) data, which are the bit streams of raw signal samples recorded after the analog-to-digital converters (ADCs) and prior to any onboard digital processing. The unprocessed nature of these raw IF data provides an unique opportunity to explore the potential of GNSS Reflectometry (GNSS-R) technique for advanced geophysical applications and future spaceborne missions. To facilitate such explorations, the raw IF data sets from different missions have been processed by Institute of Space Sciences (ICE-CSIC, IEEC), and the corresponding data products, i.e., the complex waveform of the reflected signal, have been generated and released through our public open-data server. These complex waveform data products provide the measurements from different GNSS constellations (e.g., GPS, Galileo and BeiDou), and include both the amplitude and carrier phase information of the reflected GNSS signal at higher sampling rate (e.g., 1000 Hz). To demonstrate these advanced features of the data products, different applications, e.g., inland water detection and surface altimetry, are introduced in this paper. By making these complex waveform data products publicly available, new EO capability of the GNSS-R technique can be further explored by the community. Such early explorations are also relevant to ESA’s next GNSS-R mission, HydroGNSS, which will provide similar complex observations operationally and continuously in the future.

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Section: Uk-dmcmentioning

confidence: 99%

Exploration of Multi-Mission Spaceborne GNSS-R Raw IF Data Sets: Processing, Data Products and Potential Applications

Cardellach

Ribó

et al. 2022

Remote Sensing

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Scanning GNSS-R Beams from Cubesats Using Sequentially Rotated Deployable Dipoles

Valentin

Jabbarigargari

Paul

et al. 2021

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

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Remote Sensing Systems for Ocean: A Review (Part 1: Passive Systems)

Amani¹,

Ghorbanian

Asgarimehr

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Reliable, accurate, and timely information about oceans is important for many applications, including water resource management, hydrological cycle monitoring, environmental studies, agricultural and ecosystem health applications, economy, and the overall health of the environment. In this regard, Remote Sensing (RS) systems offer exceptional advantages for mapping and monitoring various oceanographic parameters with acceptable temporal and spatial resolutions over the oceans and coastal areas. So far, different methods have been developed to study oceans using various RS systems. This urges the necessity of having review studies that comprehensively discuss various RS systems, including passive and active sensors, and their advantages and limitations for ocean applications. In this paper, the goal is to review most remote sensing systems and approaches that have been worked on marine applications. This review paper is divided into two parts. Part 1 is dedicated to the passive RS systems for ocean studies. As such, four primary passive systems, including optical, Thermal Infrared (TIR) radiometers, microwave radiometers, and Global Navigation Satellite Systems (GNSS), are comprehensively discussed. Additionally, this paper summarizes the main passive RS sensors and satellites, which have been utilized for different oceanographic applications. Finally, various oceanographic parameters, which can be retrieved from the data acquired by passive RS systems, along with the corresponding methods, are discussed.

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The ESA Passive Reflectometry and Dosimetry (Pretty) Mission

Cited by 6 publications

References 8 publications

Exploration of Multi-Mission Spaceborne GNSS-R Raw IF Data Sets: Processing, Data Products and Potential Applications

Exploration of Multi-Mission Spaceborne GNSS-R Raw IF Data Sets: Processing, Data Products and Potential Applications

Scanning GNSS-R Beams from Cubesats Using Sequentially Rotated Deployable Dipoles

Remote Sensing Systems for Ocean: A Review (Part 1: Passive Systems)

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