RITA: A 1U MULTI-SENSOR PAYLOAD FOR THE GRSSSAT CONTRIBUTING SOIL MOISTURE, VEGETATION ANALYSIS AND RFI DETECTION

A. Perez-Portero; P. Fabregat; M. Badia; M. Sobrino; C. Molina; L. Fernandez; L. Rayón; A. Rodríguez; J. F. Munoz-Martin; A. Gonga; J. Ramos-Castro; A. H. Jallad; Z. Abdul Aziz

doi:10.1109/IGARSS47720.2021.9553917

RITA: A 1U MULTI-SENSOR PAYLOAD FOR THE GRSSSAT CONTRIBUTING SOIL MOISTURE, VEGETATION ANALYSIS AND RFI DETECTION

A. Perez-Portero
, P. Fabregat
, M. Badia
, M. Sobrino
, C. Molina
, L. Fernandez
, L. Rayón
, A. Rodríguez
, J. F. Munoz-Martin
, A. Gonga
, J. Ramos-Castro
, A. H. Jallad
, Z. Abdul Aziz

Department of Electrical and Communication Engineering

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

Abstract

The Remote sensing and Interference detector with radiomeTry and vegetation Analysis (RITA) payload is one of the Remote Sensing payloads selected by the 2nd GRSS Student Grand Challenge in 2019 to fly on board of a 3U satellite that is being developed at the National space Science and Technology Center (NSSTC), United Arab Emirates University. RITA has been designed as an academic mission with a strong focus on Earth Observation techniques and technologies. This payload is equipped with a Software-Defined Radio for microwave radiometry and RFI detection, a hyper-spectral camera (25 bands from 600 to 975 nm), and a LoRa transceiver, which will work in tandem to produce vegetation-related measurements with improved accuracy. Soil moisture measurements, for example, will be derived from a Total Power Microwave Radiometer working at L-band and Normalized Difference Vegetation Index (NDVI) measurements in a technique known as Pixel Downscaling. In this work, recent advances in the payload design will be presented, as well as a more in depth mission analysis.

Original language	English
Pages	7876-7879
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9553917
Publication status	Published - 2021
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: Jul 12 2021 → Jul 16 2021

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	7/12/21 → 7/16/21

Keywords

CubeSat
Earth Observation
LoRa
Multispectral imaging
MWR
NDVI
Remote Sensing
RFI

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS47720.2021.9553917

Cite this

Perez-Portero, A., Fabregat, P., Badia, M., Sobrino, M., Molina, C., Fernandez, L., Rayón, L., Rodríguez, A., Munoz-Martin, J. F., Gonga, A., Ramos-Castro, J., Jallad, A. H., & Abdul Aziz, Z. (2021). RITA: A 1U MULTI-SENSOR PAYLOAD FOR THE GRSSSAT CONTRIBUTING SOIL MOISTURE, VEGETATION ANALYSIS AND RFI DETECTION. 7876-7879. Paper presented at 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium. https://doi.org/10.1109/IGARSS47720.2021.9553917

Perez-Portero, A, Fabregat, P, Badia, M, Sobrino, M, Molina, C, Fernandez, L, Rayón, L, Rodríguez, A, Munoz-Martin, JF, Gonga, A, Ramos-Castro, J, Jallad, AH & Abdul Aziz, Z 2021, 'RITA: A 1U MULTI-SENSOR PAYLOAD FOR THE GRSSSAT CONTRIBUTING SOIL MOISTURE, VEGETATION ANALYSIS AND RFI DETECTION', Paper presented at 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 7/12/21 - 7/16/21 pp. 7876-7879. https://doi.org/10.1109/IGARSS47720.2021.9553917

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title = "RITA: A 1U MULTI-SENSOR PAYLOAD FOR THE GRSSSAT CONTRIBUTING SOIL MOISTURE, VEGETATION ANALYSIS AND RFI DETECTION",

abstract = "The Remote sensing and Interference detector with radiomeTry and vegetation Analysis (RITA) payload is one of the Remote Sensing payloads selected by the 2nd GRSS Student Grand Challenge in 2019 to fly on board of a 3U satellite that is being developed at the National space Science and Technology Center (NSSTC), United Arab Emirates University. RITA has been designed as an academic mission with a strong focus on Earth Observation techniques and technologies. This payload is equipped with a Software-Defined Radio for microwave radiometry and RFI detection, a hyper-spectral camera (25 bands from 600 to 975 nm), and a LoRa transceiver, which will work in tandem to produce vegetation-related measurements with improved accuracy. Soil moisture measurements, for example, will be derived from a Total Power Microwave Radiometer working at L-band and Normalized Difference Vegetation Index (NDVI) measurements in a technique known as Pixel Downscaling. In this work, recent advances in the payload design will be presented, as well as a more in depth mission analysis.",

keywords = "CubeSat, Earth Observation, LoRa, Multispectral imaging, MWR, NDVI, Remote Sensing, RFI",

author = "A. Perez-Portero and P. Fabregat and M. Badia and M. Sobrino and C. Molina and L. Fernandez and L. Ray{\'o}n and A. Rodr{\'i}guez and Munoz-Martin, \{J. F.\} and A. Gonga and J. Ramos-Castro and Jallad, \{A. H.\} and \{Abdul Aziz\}, Z.",

note = "Publisher Copyright: {\textcopyright}2021 IEEE; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9553917",

language = "English",

pages = "7876--7879",

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T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

AU - Perez-Portero, A.

AU - Fabregat, P.

AU - Badia, M.

AU - Sobrino, M.

AU - Molina, C.

AU - Fernandez, L.

AU - Rayón, L.

AU - Rodríguez, A.

AU - Munoz-Martin, J. F.

AU - Gonga, A.

AU - Ramos-Castro, J.

AU - Jallad, A. H.

AU - Abdul Aziz, Z.

PY - 2021

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AB - The Remote sensing and Interference detector with radiomeTry and vegetation Analysis (RITA) payload is one of the Remote Sensing payloads selected by the 2nd GRSS Student Grand Challenge in 2019 to fly on board of a 3U satellite that is being developed at the National space Science and Technology Center (NSSTC), United Arab Emirates University. RITA has been designed as an academic mission with a strong focus on Earth Observation techniques and technologies. This payload is equipped with a Software-Defined Radio for microwave radiometry and RFI detection, a hyper-spectral camera (25 bands from 600 to 975 nm), and a LoRa transceiver, which will work in tandem to produce vegetation-related measurements with improved accuracy. Soil moisture measurements, for example, will be derived from a Total Power Microwave Radiometer working at L-band and Normalized Difference Vegetation Index (NDVI) measurements in a technique known as Pixel Downscaling. In this work, recent advances in the payload design will be presented, as well as a more in depth mission analysis.

KW - CubeSat

KW - Earth Observation

KW - LoRa

KW - Multispectral imaging

KW - MWR

KW - NDVI

KW - Remote Sensing

KW - RFI

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UR - https://www.scopus.com/pages/publications/85126060411#tab=citedBy

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M3 - Paper

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ER -

RITA: A 1U MULTI-SENSOR PAYLOAD FOR THE GRSSSAT CONTRIBUTING SOIL MOISTURE, VEGETATION ANALYSIS AND RFI DETECTION

Abstract

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Keywords

ASJC Scopus subject areas

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