The SpaceNet 8 Challenge-From Foundation Mapping to Flood Detection

Ronny Hansch; Jacob Arndt; Matthew Gibb; Arnold Boedihardjo; Tyler Pedelose; Todd M. Bacastow

doi:10.1109/IGARSS46834.2022.9883741

The SpaceNet 8 Challenge-From Foundation Mapping to Flood Detection

Ronny Hansch, Jacob Arndt, Matthew Gibb, Arnold Boedihardjo, Tyler Pedelose, Todd M. Bacastow

GeoAI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Floods are one of the major types of natural disasters responsible for loss of life, destruction of buildings and infrastructure, erosion of arable land, and environmental hazards around the world. Climate change, increasing populations, and urbanisation of flood plains will only increase the risk of flooding in the next few years. SpaceNet 8 presents a dataset that combines building footprint detection, road network extraction, and flood detection covering 850km2, including 32,000 buildings and 1,300 km of roads, of which 13% and 15% are flooded, respectively.

Original language	English
Title of host publication	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5073-5076
Number of pages	4
ISBN (Electronic)	9781665427920
DOIs	https://doi.org/10.1109/IGARSS46834.2022.9883741
State	Published - 2022
Event	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia Duration: Jul 17 2022 → Jul 22 2022

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2022-July

Conference

Conference	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Country/Territory	Malaysia
City	Kuala Lumpur
Period	07/17/22 → 07/22/22

Keywords

Benchmarking
Computer Vision
Deep Learning
Flood Detection
Foundation Mapping
Road Detection
Semantic Segmentation
SpaceNet
Sustainable Development Goals

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IGARSS46834.2022.9883741

Cite this

Hansch, R., Arndt, J., Gibb, M., Boedihardjo, A., Pedelose, T., & Bacastow, T. M. (2022). The SpaceNet 8 Challenge-From Foundation Mapping to Flood Detection. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 5073-5076). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS46834.2022.9883741

@inproceedings{4ca6f903e584406187f0e81b0a252dd8,

title = "The SpaceNet 8 Challenge-From Foundation Mapping to Flood Detection",

abstract = "Floods are one of the major types of natural disasters responsible for loss of life, destruction of buildings and infrastructure, erosion of arable land, and environmental hazards around the world. Climate change, increasing populations, and urbanisation of flood plains will only increase the risk of flooding in the next few years. SpaceNet 8 presents a dataset that combines building footprint detection, road network extraction, and flood detection covering 850km2, including 32,000 buildings and 1,300 km of roads, of which 13% and 15% are flooded, respectively.",

keywords = "Benchmarking, Computer Vision, Deep Learning, Flood Detection, Foundation Mapping, Road Detection, Semantic Segmentation, SpaceNet, Sustainable Development Goals",

author = "Ronny Hansch and Jacob Arndt and Matthew Gibb and Arnold Boedihardjo and Tyler Pedelose and Bacastow, {Todd M.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 ; Conference date: 17-07-2022 Through 22-07-2022",

year = "2022",

doi = "10.1109/IGARSS46834.2022.9883741",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",

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Hansch, R, Arndt, J, Gibb, M, Boedihardjo, A, Pedelose, T & Bacastow, TM 2022, The SpaceNet 8 Challenge-From Foundation Mapping to Flood Detection. in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, Institute of Electrical and Electronics Engineers Inc., pp. 5073-5076, 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 07/17/22. https://doi.org/10.1109/IGARSS46834.2022.9883741

The SpaceNet 8 Challenge-From Foundation Mapping to Flood Detection. / Hansch, Ronny; Arndt, Jacob; Gibb, Matthew et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., 2022. p. 5073-5076 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Floods are one of the major types of natural disasters responsible for loss of life, destruction of buildings and infrastructure, erosion of arable land, and environmental hazards around the world. Climate change, increasing populations, and urbanisation of flood plains will only increase the risk of flooding in the next few years. SpaceNet 8 presents a dataset that combines building footprint detection, road network extraction, and flood detection covering 850km2, including 32,000 buildings and 1,300 km of roads, of which 13% and 15% are flooded, respectively.

KW - Benchmarking

KW - Computer Vision

KW - Deep Learning

KW - Flood Detection

KW - Foundation Mapping

KW - Road Detection

KW - Semantic Segmentation

KW - SpaceNet

KW - Sustainable Development Goals

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M3 - Conference contribution

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BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

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Hansch R, Arndt J, Gibb M, Boedihardjo A, Pedelose T, Bacastow TM. The SpaceNet 8 Challenge-From Foundation Mapping to Flood Detection. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc. 2022. p. 5073-5076. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS46834.2022.9883741

The SpaceNet 8 Challenge-From Foundation Mapping to Flood Detection

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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Cite this