@InProceedings{CamargoDPNTPCJBBFTJH:2022:PaPrLi,
author = "Camargo, L{\'a}zaro Aparecido Pires de and Dos Santos, Walter
Abrah{\~a}o and Pineros, Jhonathan O. M. and Naccarato, Kleber
Pinheiro and Tikami, auro and Pereira J{\'u}nior, Antonio Carlos
de Oliveira and Cisotto, Marcus Vinicius and Julio Filho, Antonio
Cassiano and Bueno, Luiz Antonio dos Reis and Brito, Antonio F. de
and Florentino, {\^A}ngelo Jos{\'e} Augusto and Teixeira,
Lincoln and Junqueira, Bruno Carneiro and Horna, Andr{\'e}s
Fernando Paredes",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
de S{\~a}o Paulo (UNIFESP)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "A payload proposal for lightning flash detection using a
nanosatellites",
booktitle = "Proceedings...",
year = "2022",
organization = "IAA Latin American CubeSat Workshop, 5.",
publisher = "AIAA",
keywords = "RaioSat, Lightning Flash Detection, Smallsats, Climate Change.",
abstract = "The purpose of the RaioSat nanosatellite mission is primarily to
detect both intra-cloud lightning and cloud-to-ground lightning
simultaneously, the so-called total lightning data using an
optical sensor and a VHF antenna to detect the radio frequency
signatures of these lightnings. As RaioSat will only carry a
payload to acquire this data for a time-limited mission, the
nanosatellite must be launched during a window that maximizes data
collection in the lightning season in Brazil, which runs from
October to March. Currently, lightning detection from space is
implemented with instruments such as the Lightning Imaging Sensor
(LIS) on the Tropical Rainfall Measuring Mission (TRRM). Another
example is the Geostationary Lightning Mapper (GLM) on
Geostationary Operational Environmental Satellites (GOES). With
dimensions of 20 cm x 35 cm for the LIS and 150 cm x 65 cm for the
GLM, these instruments are big in terms of usability on small
satellites. In this paper a proposal for enabling a hardware and
software prototype of an optical lightning detection payload for
the RaioSat mission is discussed where it is assumed that optical
part of the payload is already provided. The current RaioSat
nanosatellite prototype is planned for a 3-U-sized cubesat
platform initially in a circular orbit with an inclination of
approximately 25 degrees and an altitude of 650 km. This results
in a complete orbit of 98 minutes with passes through Brazil of
approximately 15 to 20 minutes depending on the orbit. The RaioSAT
mission intends innovatively to: (i) transfer the technology of
optical lightning detection to a nanosatellite platform; (ii) add
VHF signal detection and recognition as an effective trigger for
lightning events in order to reduce onboard processing and,
consequently, payload size and power consumption; (iii)
distinguish between cloudto-ground and intra-cloud flashes using a
combined optical and VHF detection technique; (iv) provide
worldwide lightning detection capability at low cost and high
flexibility using a prospective satellite constellation structure
in the future. The payload development strategy includes various
incrementing investigation steps: a) prototype the detector using
an ARM microcontroller and camera; b) prototype a detector using
FPGA and camera; c) development of a mini OBC for testing; d)
final validation and testing. This project will be carried out by
the Division of Small Satellites of INPE - National Institute for
Space Research.",
conference-location = "Bras{\'{\i}}lia, DF",
conference-year = "07-10 nov. 2022",
language = "en",
targetfile = "camargo_payload.pdf",
urlaccessdate = "23 maio 2024"
}