TY - GEN
T1 - ARD, FAIR Earth Observation Principles, Data Fusion
T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
AU - Lunga, Dalton
AU - Hansch, Ronny
AU - Verma, Ujjwal
AU - Pacifici, Fabio
AU - Percivall, George
AU - Ullo, Silvia Liberata
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With artificial intelligence breakthroughs permeating the Earth Science domain, there is an immediate need to advance the data, tools, and resulting technologies to broader societal challenges. Different efforts are emerging with fragmented best practices for making Earth Observation (EO) data Artificial Intelligence (AI)-ready, availing computer vision and image analysis tools for broader reuse across the remote sensing community. This paper will revisit current best practices and outline a guideline for advancing EO data and derivative AI products for broader community use. We mainly discuss the Analysis Ready Data (ARD) essentials and aim to forge their evolution with Findable, Accessible, Interoperable, Reusable (FAIR) principles to support cross-modal/cross-sensor/cross-provider opportunities that appear to be central to solving complex EO challenges.
AB - With artificial intelligence breakthroughs permeating the Earth Science domain, there is an immediate need to advance the data, tools, and resulting technologies to broader societal challenges. Different efforts are emerging with fragmented best practices for making Earth Observation (EO) data Artificial Intelligence (AI)-ready, availing computer vision and image analysis tools for broader reuse across the remote sensing community. This paper will revisit current best practices and outline a guideline for advancing EO data and derivative AI products for broader community use. We mainly discuss the Analysis Ready Data (ARD) essentials and aim to forge their evolution with Findable, Accessible, Interoperable, Reusable (FAIR) principles to support cross-modal/cross-sensor/cross-provider opportunities that appear to be central to solving complex EO challenges.
KW - Accessible
KW - Analysis Ready Data (ARD)
KW - Findable
KW - Interoperable
KW - Reusable (FAIR) principles
KW - data fusion
UR - http://www.scopus.com/inward/record.url?scp=85178321943&partnerID=8YFLogxK
U2 - 10.1109/IGARSS52108.2023.10281577
DO - 10.1109/IGARSS52108.2023.10281577
M3 - Conference contribution
AN - SCOPUS:85178321943
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1122
EP - 1125
BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 July 2023 through 21 July 2023
ER -