TY - GEN
T1 - Description Of The Rita Payload Aboard Alainsat-1, A 3U Educational Cubesat
AU - Gonga, A.
AU - Perez-Portero, A.
AU - Fernandez, L.
AU - Garcia-Morilla, A.
AU - Gracia-Sola, G.
AU - Contreras-Benito, L.
AU - Ramos-Castro, J.
AU - Camps, A.
AU - Jallad, A. H.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Remote sensing and Interference detector with radiome-Try and vegetation Analysis (RITA) payload was selected in 2019 the 2nd GRSS Student Grand Challenge to fly onboard AlainSat-1, a 3U CubeSat developed at the National Space Science and Technology Center (NSSTC) in United Arab Emirates. RITA payload includes a passive Microwave Radiometer (MWR), a LoRa transceiver, and an hyper-spectral camera. The objective of the payload is to retrieve Earth Observation (EO) parameters such as: soil moisture, sea-ice thickness and concentration, among others. A Radio Frequency Interference (RFI) detection algorithm is also included to the payload to create interference maps in the received signals.
AB - The Remote sensing and Interference detector with radiome-Try and vegetation Analysis (RITA) payload was selected in 2019 the 2nd GRSS Student Grand Challenge to fly onboard AlainSat-1, a 3U CubeSat developed at the National Space Science and Technology Center (NSSTC) in United Arab Emirates. RITA payload includes a passive Microwave Radiometer (MWR), a LoRa transceiver, and an hyper-spectral camera. The objective of the payload is to retrieve Earth Observation (EO) parameters such as: soil moisture, sea-ice thickness and concentration, among others. A Radio Frequency Interference (RFI) detection algorithm is also included to the payload to create interference maps in the received signals.
KW - CubeSat
KW - Earth Observation
KW - LoRa
KW - Multi-spectral imaging
KW - Radiometry
KW - Remote Sensing
KW - RFI
UR - https://www.scopus.com/pages/publications/85178331541
UR - https://www.scopus.com/pages/publications/85178331541#tab=citedBy
U2 - 10.1109/IGARSS52108.2023.10282517
DO - 10.1109/IGARSS52108.2023.10282517
M3 - Conference contribution
AN - SCOPUS:85178331541
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 245
EP - 248
BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Y2 - 16 July 2023 through 21 July 2023
ER -