Multispectral Drone Data Analysis on Coastal Dunes

Britnie Gonzalez-Moodie; Shane Daiek; Jorge Lorenzo-Trueba; Aparna S. Varde

doi:10.1109/BigData52589.2021.9671340

Multispectral Drone Data Analysis on Coastal Dunes

Britnie Gonzalez-Moodie
, Shane Daiek
, Jorge Lorenzo-Trueba
, Aparna S. Varde

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

4 Scopus citations

Abstract

We devise a method to study coastal dune vegetation based on drone data orthomosaic mapping and machine learning algorithms to distinguish objects with spatial and color accuracy from numerous high-quality drone multispectral images. It allows accurate surveying on the density of coastal dune vegetation and potentially individual species. We thus analyze big data to develop tools for coastal resiliency and sustainability.

Original language	English
Title of host publication	Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
Editors	Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama Fayyad, Xingquan Zhu, Xiaohua Tony Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5903-5905
Number of pages	3
ISBN (Electronic)	9781665439022
DOIs	https://doi.org/10.1109/BigData52589.2021.9671340
State	Published - 2021
Event	2021 IEEE International Conference on Big Data, Big Data 2021 - Virtual, Online, United States Duration: 15 Dec 2021 → 18 Dec 2021

Publication series

Name	Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

Conference

Conference	2021 IEEE International Conference on Big Data, Big Data 2021
Country/Territory	United States
City	Virtual, Online
Period	15/12/21 → 18/12/21

UN SDGs

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

SDG 13 Climate Action

Keywords

ANN
Big Data
Climate Change
Drone Images
Environmental Science
Multispectral Data
Random Forests
SVM

Access to Document

10.1109/BigData52589.2021.9671340

Cite this

Gonzalez-Moodie, B., Daiek, S., Lorenzo-Trueba, J., & Varde, A. S. (2021). Multispectral Drone Data Analysis on Coastal Dunes. In Y. Chen, H. Ludwig, Y. Tu, U. Fayyad, X. Zhu, X. T. Hu, S. Byna, X. Liu, J. Zhang, S. Pan, V. Papalexakis, J. Wang, A. Cuzzocrea, & C. Ordonez (Eds.), Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021 (pp. 5903-5905). (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData52589.2021.9671340

Gonzalez-Moodie, Britnie ; Daiek, Shane ; Lorenzo-Trueba, Jorge et al. / Multispectral Drone Data Analysis on Coastal Dunes. Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. editor / Yixin Chen ; Heiko Ludwig ; Yicheng Tu ; Usama Fayyad ; Xingquan Zhu ; Xiaohua Tony Hu ; Suren Byna ; Xiong Liu ; Jianping Zhang ; Shirui Pan ; Vagelis Papalexakis ; Jianwu Wang ; Alfredo Cuzzocrea ; Carlos Ordonez. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 5903-5905 (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021).

@inproceedings{183e7f4ed88945b6ab90603de6589898,

title = "Multispectral Drone Data Analysis on Coastal Dunes",

abstract = "We devise a method to study coastal dune vegetation based on drone data orthomosaic mapping and machine learning algorithms to distinguish objects with spatial and color accuracy from numerous high-quality drone multispectral images. It allows accurate surveying on the density of coastal dune vegetation and potentially individual species. We thus analyze big data to develop tools for coastal resiliency and sustainability.",

keywords = "ANN, Big Data, Climate Change, Drone Images, Environmental Science, Multispectral Data, Random Forests, SVM",

author = "Britnie Gonzalez-Moodie and Shane Daiek and Jorge Lorenzo-Trueba and Varde, \{Aparna S.\}",

note = "Funding Information: B. Gonzales-Moodie is funded by a summer research grant from the College of Science and Mathematics at Montclair State University. A. Varde is supported by NSF grants 2018575 and 2117308. She is currently a visiting researcher at Max Planck Institute for Informatics, Saarbrucken, Germany. J. Lorenzo-Trueba and S. Daiek acknowledge NSF grant 2103754. We thank drone pilot Jesse Kolodin for help with data collection. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Big Data, Big Data 2021 ; Conference date: 15-12-2021 Through 18-12-2021",

year = "2021",

doi = "10.1109/BigData52589.2021.9671340",

language = "English",

series = "Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021",

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

pages = "5903--5905",

editor = "Yixin Chen and Heiko Ludwig and Yicheng Tu and Usama Fayyad and Xingquan Zhu and Hu, \{Xiaohua Tony\} and Suren Byna and Xiong Liu and Jianping Zhang and Shirui Pan and Vagelis Papalexakis and Jianwu Wang and Alfredo Cuzzocrea and Carlos Ordonez",

booktitle = "Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021",

}

Gonzalez-Moodie, B, Daiek, S, Lorenzo-Trueba, J & Varde, AS 2021, Multispectral Drone Data Analysis on Coastal Dunes. in Y Chen, H Ludwig, Y Tu, U Fayyad, X Zhu, XT Hu, S Byna, X Liu, J Zhang, S Pan, V Papalexakis, J Wang, A Cuzzocrea & C Ordonez (eds), Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, Institute of Electrical and Electronics Engineers Inc., pp. 5903-5905, 2021 IEEE International Conference on Big Data, Big Data 2021, Virtual, Online, United States, 15/12/21. https://doi.org/10.1109/BigData52589.2021.9671340

Multispectral Drone Data Analysis on Coastal Dunes. / Gonzalez-Moodie, Britnie; Daiek, Shane; Lorenzo-Trueba, Jorge et al.
Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. ed. / Yixin Chen; Heiko Ludwig; Yicheng Tu; Usama Fayyad; Xingquan Zhu; Xiaohua Tony Hu; Suren Byna; Xiong Liu; Jianping Zhang; Shirui Pan; Vagelis Papalexakis; Jianwu Wang; Alfredo Cuzzocrea; Carlos Ordonez. Institute of Electrical and Electronics Engineers Inc., 2021. p. 5903-5905 (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021).

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

TY - GEN

T1 - Multispectral Drone Data Analysis on Coastal Dunes

AU - Gonzalez-Moodie, Britnie

AU - Daiek, Shane

AU - Lorenzo-Trueba, Jorge

AU - Varde, Aparna S.

N1 - Funding Information: B. Gonzales-Moodie is funded by a summer research grant from the College of Science and Mathematics at Montclair State University. A. Varde is supported by NSF grants 2018575 and 2117308. She is currently a visiting researcher at Max Planck Institute for Informatics, Saarbrucken, Germany. J. Lorenzo-Trueba and S. Daiek acknowledge NSF grant 2103754. We thank drone pilot Jesse Kolodin for help with data collection. Publisher Copyright: © 2021 IEEE.

PY - 2021

Y1 - 2021

N2 - We devise a method to study coastal dune vegetation based on drone data orthomosaic mapping and machine learning algorithms to distinguish objects with spatial and color accuracy from numerous high-quality drone multispectral images. It allows accurate surveying on the density of coastal dune vegetation and potentially individual species. We thus analyze big data to develop tools for coastal resiliency and sustainability.

AB - We devise a method to study coastal dune vegetation based on drone data orthomosaic mapping and machine learning algorithms to distinguish objects with spatial and color accuracy from numerous high-quality drone multispectral images. It allows accurate surveying on the density of coastal dune vegetation and potentially individual species. We thus analyze big data to develop tools for coastal resiliency and sustainability.

KW - ANN

KW - Big Data

KW - Climate Change

KW - Drone Images

KW - Environmental Science

KW - Multispectral Data

KW - Random Forests

KW - SVM

UR - https://www.scopus.com/pages/publications/85125339990

U2 - 10.1109/BigData52589.2021.9671340

DO - 10.1109/BigData52589.2021.9671340

M3 - Conference contribution

AN - SCOPUS:85125339990

T3 - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

SP - 5903

EP - 5905

BT - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

A2 - Chen, Yixin

A2 - Ludwig, Heiko

A2 - Tu, Yicheng

A2 - Fayyad, Usama

A2 - Zhu, Xingquan

A2 - Hu, Xiaohua Tony

A2 - Byna, Suren

A2 - Liu, Xiong

A2 - Zhang, Jianping

A2 - Pan, Shirui

A2 - Papalexakis, Vagelis

A2 - Wang, Jianwu

A2 - Cuzzocrea, Alfredo

A2 - Ordonez, Carlos

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Big Data, Big Data 2021

Y2 - 15 December 2021 through 18 December 2021

ER -

Gonzalez-Moodie B, Daiek S, Lorenzo-Trueba J, Varde AS. Multispectral Drone Data Analysis on Coastal Dunes. In Chen Y, Ludwig H, Tu Y, Fayyad U, Zhu X, Hu XT, Byna S, Liu X, Zhang J, Pan S, Papalexakis V, Wang J, Cuzzocrea A, Ordonez C, editors, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 5903-5905. (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021). doi: 10.1109/BigData52589.2021.9671340

Multispectral Drone Data Analysis on Coastal Dunes

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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