@inproceedings{41630d139e0e4c28bde92cf3649c72db,
title = "SDR-BASED LORA ENABLED ON-DEMAND REMOTE ACQUISITION EXPERIMENT ON-BOARD THE ALAINSAT-1",
abstract = "Global change and sea level rise are increasing the interest in monitoring oceans, and specially the Arctic. L-band microwave radiometers can be used for thin sea ice thickness and oceans monitoring, and these maps are being routinely generated from SMOS [1] and SMAP [2], which if combined with imagers provide a higher resolution. The CubeSat-based payload RITA (RadIomeTry and vegetation Analysis) plans to address those monitoring needs by including an IoT enabled payload, a hyperspectral imager and an L-band microwave radiometer with RFI detection and mitigation [3]. The IoT payload implements an SDR-based LoRa modulation and it will be used to perform On-Demand executions of the radiometer and the imager payloads on-board RITA. As part of this work, an in-depth description of the objectives, concept of operations and hardware and software architecture and implementation of the IoT LoRa module will be provided.",
keywords = "CubeSat, Earth observation, Internet of things, LoRa, Multispectral imaging, MWR, Remote sensing, RFI, SDR",
author = "L. Fernandez and M. Sobrino and A. Rodriguez and A. Gonga and C. Molina and L. Ray{\'o}n and M. Badia and P. Fabregat and A. Perez-Portero and J. Ramos-Castro and Ruiz-De-Azua, \{J. A.\} and A. Calveras and Jallad, \{A. H.\} and Aziz, \{Z. Abdul\}",
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/IGARSS47720.2021.9553020",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "8111--8114",
booktitle = "IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",
}