3CAT-3/MOTS, an experimental nanosatellite for multispectral and GNSS-R earth observation: airborne optical and GNSS-R campaign

January 1, 2018·
Jordi Castellvi-Esturi
,
Adriano Camps
,
Jordi Corbera
,
Raul Onrubia
,
Ramon Alamús
,
Daniel Pascual
,
Jorge Querol
,
Hyuk Park
· 1 min read
DOI
Abstract
The3Cat-3/MOTS mission is a joint initiative between the Institut Cartogràfic i Geològic de Catalunya (ICGC) and the Universitat Politècnica de Catalunya-BarcelonaTech (UPC) to foster new and innovative technologies on Earth Observation (EO) based on the data fusion of Global Navigation Satellite Systems Reflectometry (GNSS-R) and optical payloads on a 6U CubeSat platform. The final objective of the mission is to provide soil moisture mapping through the GNSS-R payload and improve its resolution by data fusion with the multi-spectral optical data acquired. This technique has been successfully applied to SMOS, but never performed from a 6U CubeSat carrying both payloads. An airborne optical and GNSS-R field experiment has been carried out to test/develop the algorithm and to analyze the results both separately (GNSS-R + optical data) and as a soil moisture product, once performed the data fusion.
Type
Publication
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium
publication

Abstract & Overview

The3Cat-3/MOTS mission is a joint initiative between the Institut Cartogràfic i Geològic de Catalunya (ICGC) and the Universitat Politècnica de Catalunya-BarcelonaTech (UPC) to foster new and innovative technologies on Earth Observation (EO) based on the data fusion of Global Navigation Satellite Systems Reflectometry (GNSS-R) and optical payloads on a 6U CubeSat platform. The final objective of the mission is to provide soil moisture mapping through the GNSS-R payload and improve its resolution by data fusion with the multi-spectral optical data acquired. This technique has been successfully applied to SMOS, but never performed from a 6U CubeSat carrying both payloads. An airborne optical and GNSS-R field experiment has been carried out to test/develop the algorithm and to analyze the results both separately (GNSS-R + optical data) and as a soil moisture product, once performed the data fusion.

Publication Metadata

  • Authors: Jordi Castellvi-Esturi, Adriano Camps, Jordi Corbera, Raul Onrubia, Ramon Alamús, Daniel Pascual, Jorge Querol, Hyuk Park
  • Venue: IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (2018)
  • Research Areas: Satellite Communications, JCAS & Earth Observation, GNSS & Positioning, AI & Neuromorphic SatCom, SDR & Experimental Testbeds
  • DOI: 10.1109/igarss.2018.8518216
Satellite Communications JCAS & Earth Observation GNSS & Positioning AI & Neuromorphic SatCom SDR & Experimental Testbeds