Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data: A case study in the Yangtze Estuary

Jinquan Ai; Zhiqiang Gao; Chao Zhang; Wei Gao; Runhe Shi; Debin Song; Fuxiang Xu; Maosi Chen

doi:10.1117/12.2270695

Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data: A case study in the Yangtze Estuary

Jinquan Ai
, Zhiqiang Gao
, Chao Zhang
, Wei Gao
, Runhe Shi^*
, Debin Song
, Fuxiang Xu
, Maosi Chen

^*Corresponding author for this work

School of Geographic Sciences

East China Normal University
CAS - Yantai Institute of Coastal Research for Sustainable Development
Colorado State University

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

Abstract

Coastal wetland is a net carbon sink with a high carbon density. However, coastal reclamation directly changes the structure of coastal wetland ecosystem and consequent carbon sink function. The aim of this work was to estimate the reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data. For this purpose, GF-1 WVF imageries of 2013 (before reclamation) and 2017 (after reclamation) in the Yangtze Estuary were collected and analyzed combined with field monitoring. Results showed that the converted coastal wetland area occupied up to 61.60% between 2013 and 2017. Carbon estimation indicated that the coastal wetland before reclamation had greater potential contribution to the global warming mitigation than the wetland reclamation to other land cover types. Finally the vulnerability of carbon stores and uncertain analysis with remote sensing technology in coastal wetlands environment were discussed. We emphasized that long-term monitoring of coastal wetlands and its carbon dynamic are urgently needed, because so many uncertain factors exist in short-term monitoring.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability XIV
Editors	Jinnian Wang, Wei Gao, Ni-Bin Chang
Publisher	SPIE
ISBN (Electronic)	9781510612679
DOIs	https://doi.org/10.1117/12.2270695
State	Published - 2007
Event	Remote Sensing and Modeling of Ecosystems for Sustainability XIV 2017 - San Diego, United States Duration: 9 Aug 2017 → …

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10405
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability XIV 2017
Country/Territory	United States
City	San Diego
Period	9/08/17 → …

UN SDGs

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

SDG 15 Life on Land

Keywords

carbon
coastal wetlands
land use and land cover
object-based image analysis
reclamation
remote sensing

Access to Document

10.1117/12.2270695

Cite this

Ai, J., Gao, Z., Zhang, C., Gao, W., Shi, R., Song, D., Xu, F., & Chen, M. (2007). Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data: A case study in the Yangtze Estuary. In J. Wang, W. Gao, & N.-B. Chang (Eds.), Remote Sensing and Modeling of Ecosystems for Sustainability XIV Article 104050H (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10405). SPIE. https://doi.org/10.1117/12.2270695

Ai, Jinquan ; Gao, Zhiqiang ; Zhang, Chao et al. / Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data : A case study in the Yangtze Estuary. Remote Sensing and Modeling of Ecosystems for Sustainability XIV. editor / Jinnian Wang ; Wei Gao ; Ni-Bin Chang. SPIE, 2007. (Proceedings of SPIE - The International Society for Optical Engineering).

@inproceedings{9efb1703853d4757bb8ea4611616117e,

title = "Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data: A case study in the Yangtze Estuary",

abstract = "Coastal wetland is a net carbon sink with a high carbon density. However, coastal reclamation directly changes the structure of coastal wetland ecosystem and consequent carbon sink function. The aim of this work was to estimate the reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data. For this purpose, GF-1 WVF imageries of 2013 (before reclamation) and 2017 (after reclamation) in the Yangtze Estuary were collected and analyzed combined with field monitoring. Results showed that the converted coastal wetland area occupied up to 61.60\% between 2013 and 2017. Carbon estimation indicated that the coastal wetland before reclamation had greater potential contribution to the global warming mitigation than the wetland reclamation to other land cover types. Finally the vulnerability of carbon stores and uncertain analysis with remote sensing technology in coastal wetlands environment were discussed. We emphasized that long-term monitoring of coastal wetlands and its carbon dynamic are urgently needed, because so many uncertain factors exist in short-term monitoring.",

keywords = "carbon, coastal wetlands, land use and land cover, object-based image analysis, reclamation, remote sensing",

author = "Jinquan Ai and Zhiqiang Gao and Chao Zhang and Wei Gao and Runhe Shi and Debin Song and Fuxiang Xu and Maosi Chen",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Remote Sensing and Modeling of Ecosystems for Sustainability XIV 2017 ; Conference date: 09-08-2017",

year = "2007",

doi = "10.1117/12.2270695",

language = "英语",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Jinnian Wang and Wei Gao and Ni-Bin Chang",

booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability XIV",

address = "美国",

}

Ai, J, Gao, Z, Zhang, C, Gao, W, Shi, R, Song, D, Xu, F & Chen, M 2007, Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data: A case study in the Yangtze Estuary. in J Wang, W Gao & N-B Chang (eds), Remote Sensing and Modeling of Ecosystems for Sustainability XIV., 104050H, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10405, SPIE, Remote Sensing and Modeling of Ecosystems for Sustainability XIV 2017, San Diego, United States, 9/08/17. https://doi.org/10.1117/12.2270695

Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data: A case study in the Yangtze Estuary. / Ai, Jinquan; Gao, Zhiqiang; Zhang, Chao et al.
Remote Sensing and Modeling of Ecosystems for Sustainability XIV. ed. / Jinnian Wang; Wei Gao; Ni-Bin Chang. SPIE, 2007. 104050H (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10405).

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

TY - GEN

T1 - Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability XIV 2017

AU - Ai, Jinquan

AU - Gao, Zhiqiang

AU - Zhang, Chao

AU - Gao, Wei

AU - Shi, Runhe

AU - Song, Debin

AU - Xu, Fuxiang

AU - Chen, Maosi

PY - 2007

Y1 - 2007

N2 - Coastal wetland is a net carbon sink with a high carbon density. However, coastal reclamation directly changes the structure of coastal wetland ecosystem and consequent carbon sink function. The aim of this work was to estimate the reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data. For this purpose, GF-1 WVF imageries of 2013 (before reclamation) and 2017 (after reclamation) in the Yangtze Estuary were collected and analyzed combined with field monitoring. Results showed that the converted coastal wetland area occupied up to 61.60% between 2013 and 2017. Carbon estimation indicated that the coastal wetland before reclamation had greater potential contribution to the global warming mitigation than the wetland reclamation to other land cover types. Finally the vulnerability of carbon stores and uncertain analysis with remote sensing technology in coastal wetlands environment were discussed. We emphasized that long-term monitoring of coastal wetlands and its carbon dynamic are urgently needed, because so many uncertain factors exist in short-term monitoring.

AB - Coastal wetland is a net carbon sink with a high carbon density. However, coastal reclamation directly changes the structure of coastal wetland ecosystem and consequent carbon sink function. The aim of this work was to estimate the reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data. For this purpose, GF-1 WVF imageries of 2013 (before reclamation) and 2017 (after reclamation) in the Yangtze Estuary were collected and analyzed combined with field monitoring. Results showed that the converted coastal wetland area occupied up to 61.60% between 2013 and 2017. Carbon estimation indicated that the coastal wetland before reclamation had greater potential contribution to the global warming mitigation than the wetland reclamation to other land cover types. Finally the vulnerability of carbon stores and uncertain analysis with remote sensing technology in coastal wetlands environment were discussed. We emphasized that long-term monitoring of coastal wetlands and its carbon dynamic are urgently needed, because so many uncertain factors exist in short-term monitoring.

KW - carbon

KW - coastal wetlands

KW - land use and land cover

KW - object-based image analysis

KW - reclamation

KW - remote sensing

UR - https://www.scopus.com/pages/publications/85038559863

U2 - 10.1117/12.2270695

DO - 10.1117/12.2270695

M3 - 会议稿件

AN - SCOPUS:85038559863

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Remote Sensing and Modeling of Ecosystems for Sustainability XIV

A2 - Wang, Jinnian

A2 - Gao, Wei

A2 - Chang, Ni-Bin

PB - SPIE

Y2 - 9 August 2017

ER -

Ai J, Gao Z, Zhang C, Gao W, Shi R, Song D et al. Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data: A case study in the Yangtze Estuary. In Wang J, Gao W, Chang NB, editors, Remote Sensing and Modeling of Ecosystems for Sustainability XIV. SPIE. 2007. 104050H. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2270695

Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data: A case study in the Yangtze Estuary

Abstract

Publication series

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UN SDGs

Keywords

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