A Multi-Modal Approach for Monitoring Changes in Agriculture in the Mekong River Delta

Christopher S.R. Neigh; Nathan Thomas; Mark L. Carroll; Margaret Wooten; Jessica L. McCarty

doi:10.1109/IGARSS39084.2020.9324083

A Multi-Modal Approach for Monitoring Changes in Agriculture in the Mekong River Delta

Christopher S.R. Neigh
, Nathan Thomas
, Mark L. Carroll
, Margaret Wooten
, Jessica L. McCarty

History, Geography & Social Sciences

NASA Goddard Space Flight Center, Greenbelt, Maryland

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

Abstract

Smallholder farms in South East Asia are characterized by small irregular field patterns, dense cloud cover and haze which limits our ability to observe changes in agriculture land-use. Very-high resolution (VHR, < 5 m) Earth observing (EO) satellites have grown into constellations with global repeat coverage that can support multiple observations within a growing season. Here we present a multi-modal approach to map and monitor changes in agriculture at the field scale in the Mekong River Delta with VHR optical imagery from Worldview-1, 2 and 3, and synthetic aperture radar (SAR) from Sentinel-1. Our approach leverages the benefits of SAR and VHR imagery with geographic object-based image analysis (GEOBIA) in a high-end computing environment to rapidly map the distribution and size of agriculture fields that are not observable at moderate resolution (> 30 m) in regions with dense persistent cloud cover and haze from biomass burning.

Original language	English
Title of host publication	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3709-3711
Number of pages	3
ISBN (Electronic)	978-1-7281-6374-1
ISBN (Print)	978-1-7281-6375-8 , 978-1-7281-6373-4
DOIs	https://doi.org/10.1109/IGARSS39084.2020.9324083
Publication status	Published - 26 Sept 2020
Event	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States Duration: 26 Sept 2020 → 2 Oct 2020

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Country/Territory	United States
City	Virtual, Waikoloa
Period	26/09/20 → 2/10/20

UN SDGs

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

SDG 2 Zero Hunger
SDG 15 Life on Land

Keywords

agriculture
GEOBIA
land cover
Mekong Delta
rice
Sentinel-1
WorldView

Access to Document

10.1109/IGARSS39084.2020.9324083

Cite this

Neigh, C. S. R., Thomas, N., Carroll, M. L., Wooten, M., & McCarty, J. L. (2020). A Multi-Modal Approach for Monitoring Changes in Agriculture in the Mekong River Delta. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings (pp. 3709-3711). Article 9324083 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS39084.2020.9324083

Neigh, Christopher S.R. ; Thomas, Nathan ; Carroll, Mark L. et al. / A Multi-Modal Approach for Monitoring Changes in Agriculture in the Mekong River Delta. 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 3709-3711 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{27384c2329704c02944d948b6f28b275,

title = "A Multi-Modal Approach for Monitoring Changes in Agriculture in the Mekong River Delta",

abstract = "Smallholder farms in South East Asia are characterized by small irregular field patterns, dense cloud cover and haze which limits our ability to observe changes in agriculture land-use. Very-high resolution (VHR, < 5 m) Earth observing (EO) satellites have grown into constellations with global repeat coverage that can support multiple observations within a growing season. Here we present a multi-modal approach to map and monitor changes in agriculture at the field scale in the Mekong River Delta with VHR optical imagery from Worldview-1, 2 and 3, and synthetic aperture radar (SAR) from Sentinel-1. Our approach leverages the benefits of SAR and VHR imagery with geographic object-based image analysis (GEOBIA) in a high-end computing environment to rapidly map the distribution and size of agriculture fields that are not observable at moderate resolution (> 30 m) in regions with dense persistent cloud cover and haze from biomass burning.",

keywords = "agriculture, GEOBIA, land cover, Mekong Delta, rice, Sentinel-1, WorldView",

author = "Neigh, \{Christopher S.R.\} and Nathan Thomas and Carroll, \{Mark L.\} and Margaret Wooten and McCarty, \{Jessica L.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 ; Conference date: 26-09-2020 Through 02-10-2020",

year = "2020",

month = sep,

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language = "English",

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}

Neigh, CSR, Thomas, N, Carroll, ML, Wooten, M & McCarty, JL 2020, A Multi-Modal Approach for Monitoring Changes in Agriculture in the Mekong River Delta. in 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings., 9324083, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 3709-3711, 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Virtual, Waikoloa, United States, 26/09/20. https://doi.org/10.1109/IGARSS39084.2020.9324083

A Multi-Modal Approach for Monitoring Changes in Agriculture in the Mekong River Delta. / Neigh, Christopher S.R.; Thomas, Nathan; Carroll, Mark L. et al.
2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 3709-3711 9324083 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

TY - GEN

T1 - A Multi-Modal Approach for Monitoring Changes in Agriculture in the Mekong River Delta

AU - Neigh, Christopher S.R.

AU - Thomas, Nathan

AU - Carroll, Mark L.

AU - Wooten, Margaret

AU - McCarty, Jessica L.

PY - 2020/9/26

Y1 - 2020/9/26

N2 - Smallholder farms in South East Asia are characterized by small irregular field patterns, dense cloud cover and haze which limits our ability to observe changes in agriculture land-use. Very-high resolution (VHR, < 5 m) Earth observing (EO) satellites have grown into constellations with global repeat coverage that can support multiple observations within a growing season. Here we present a multi-modal approach to map and monitor changes in agriculture at the field scale in the Mekong River Delta with VHR optical imagery from Worldview-1, 2 and 3, and synthetic aperture radar (SAR) from Sentinel-1. Our approach leverages the benefits of SAR and VHR imagery with geographic object-based image analysis (GEOBIA) in a high-end computing environment to rapidly map the distribution and size of agriculture fields that are not observable at moderate resolution (> 30 m) in regions with dense persistent cloud cover and haze from biomass burning.

AB - Smallholder farms in South East Asia are characterized by small irregular field patterns, dense cloud cover and haze which limits our ability to observe changes in agriculture land-use. Very-high resolution (VHR, < 5 m) Earth observing (EO) satellites have grown into constellations with global repeat coverage that can support multiple observations within a growing season. Here we present a multi-modal approach to map and monitor changes in agriculture at the field scale in the Mekong River Delta with VHR optical imagery from Worldview-1, 2 and 3, and synthetic aperture radar (SAR) from Sentinel-1. Our approach leverages the benefits of SAR and VHR imagery with geographic object-based image analysis (GEOBIA) in a high-end computing environment to rapidly map the distribution and size of agriculture fields that are not observable at moderate resolution (> 30 m) in regions with dense persistent cloud cover and haze from biomass burning.

KW - agriculture

KW - GEOBIA

KW - land cover

KW - Mekong Delta

KW - rice

KW - Sentinel-1

KW - WorldView

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M3 - Conference proceeding (ISBN)

AN - SCOPUS:85101962771

SN - 978-1-7281-6375-8

SN - 978-1-7281-6373-4

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 3709

EP - 3711

BT - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020

Y2 - 26 September 2020 through 2 October 2020

ER -

Neigh CSR, Thomas N, Carroll ML, Wooten M, McCarty JL. A Multi-Modal Approach for Monitoring Changes in Agriculture in the Mekong River Delta. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 3709-3711. 9324083. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS39084.2020.9324083

A Multi-Modal Approach for Monitoring Changes in Agriculture in the Mekong River Delta

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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