TY - GEN
T1 - DataCAP
T2 - 28th International Conference on MultiMedia Modeling, MMM 2022
AU - Sitokonstantinou, Vasileios
AU - Koukos, Alkiviadis
AU - Drivas, Thanassis
AU - Kontoes, Charalampos
AU - Karathanassi, Vassilia
PY - 2022
Y1 - 2022
N2 - Recently, massive amounts of satellite images are becoming available. The automated and efficient management, knowledge extraction and visualisation of these big earth data can enable the timely and comprehensive decision making in a number of operational scenarios. In this work, we demonstrate DataCAP that combines the Open Data Cube (ODC) technology on Satellite Image Time-series (SITS), with Machine Learning (ML) pipelines and crowdsourced street-level images to assist in the monitoring of the Common Agricultural Policy (CAP). DataCAP offers a suit of processing tools to simply and intuitively search, store and analyse radar and optical satellite images, along with visualisation tools that combine satellite and street-level imagery for the visual verification of algorithmic decisions.
AB - Recently, massive amounts of satellite images are becoming available. The automated and efficient management, knowledge extraction and visualisation of these big earth data can enable the timely and comprehensive decision making in a number of operational scenarios. In this work, we demonstrate DataCAP that combines the Open Data Cube (ODC) technology on Satellite Image Time-series (SITS), with Machine Learning (ML) pipelines and crowdsourced street-level images to assist in the monitoring of the Common Agricultural Policy (CAP). DataCAP offers a suit of processing tools to simply and intuitively search, store and analyse radar and optical satellite images, along with visualisation tools that combine satellite and street-level imagery for the visual verification of algorithmic decisions.
KW - Data cube
KW - Geo-tagged street-level pictures
KW - Satellite image time-series
KW - Sentinel-1
KW - Sentinel-2
U2 - 10.1007/978-3-030-98355-0_41
DO - 10.1007/978-3-030-98355-0_41
M3 - Conference paper
AN - SCOPUS:85127203710
SN - 9783030983543
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 473
EP - 478
BT - MultiMedia Modeling - 28th International Conference, MMM 2022, Proceedings
A2 - Þór Jónsson, Björn
A2 - Gurrin, Cathal
A2 - Tran, Minh-Triet
A2 - Dang-Nguyen, Duc-Tien
A2 - Hu, Anita Min-Chun
A2 - Huynh Thi Thanh, Binh
A2 - Huet, Benoit
PB - Springer
Y2 - 6 June 2022 through 10 June 2022
ER -