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Pond aquaculture dynamics in Asia: Satellite time series for analyzing the spatio-temporal development of coastal aquaculture

Ottinger, Marco and Liu, Kemeng and Ullmann, Tobias and Huth, Juliane and Künzer, Claudia and Bachofer, Felix (2025) Pond aquaculture dynamics in Asia: Satellite time series for analyzing the spatio-temporal development of coastal aquaculture. Aquaculture, 610 (742940), pp. 1-23. Elsevier. doi: 10.1016/j.aquaculture.2025.742940. ISSN 0044-8486.

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Official URL: https://www.sciencedirect.com/science/article/pii/S0044848625008269?via%3Dihub

Abstract

Asia plays a dominant role in global aquaculture, contributing over 88 % of the total aquaculture output, primarily through pond aquaculture systems used for the farming of fish, shrimp, and mussels. Coastal regions in Asia have experienced rapid spatial expansion of pond aquaculture. Recognizing the importance of spatial data in effectively monitoring and managing these systems, we present a methodological approach utilizing dense optical satellite time series archive data to analyze the spatio-temporal development of coastal pond aquaculture in Asia. This study builds on previous work that delineated all aquaculture ponds at a single-pond level for the entire coastal zone using a multi-sensor Earth Observation approach, integrating both SAR and optical satellite data. The resulting continental-scale vector dataset of mapped aquaculture ponds served as reference to derive spatio-temporal dynamics of coastal aquaculture. By utilizing multi-decadal Landsat archive data (1984–2019), we developed a framework to determine the annual status of each pond based on water masks derived from satellite time series. The methodology was applied across 22 coastal countries in South Asia, East Asia and Southeast Asia to investigate the development patterns of pond aquaculture. Using the complete, continentalscale dataset on annual pond aquaculture status, this research conducted geostatistical analyses of growth rates and spatial expansion patterns across various administrative levels, including national and district scales. Growth dynamics were examined for each individual country at 5- and 10-year time intervals. Between the 1980s and 2019, coastal Asia experienced significant expansion of pond aquaculture in time and space, with China, Indonesia, India, Vietnam, and Thailand emerging as the largest contributors. In 1988, reference aquaculture ponds covered around 6500 km2, increasing to over 19,000 km2 in 2019, representing a more than three-fold increase. Among the examined countries, China maintained the largest pond aquaculture industry, accounting for 40.6 % of the total active pond area in 2019, followed by Indonesia (13 %) and India (11.2 %).

Item URL in elib:https://elib.dlr.de/215700/
Document Type:Article
Title:Pond aquaculture dynamics in Asia: Satellite time series for analyzing the spatio-temporal development of coastal aquaculture
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ottinger, MarcoUNSPECIFIEDhttps://orcid.org/0000-0002-7336-1283UNSPECIFIED
Liu, KemengUniversity of WuerzburgUNSPECIFIEDUNSPECIFIED
Ullmann, TobiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huth, JulianeUNSPECIFIEDhttps://orcid.org/0000-0002-1453-6629UNSPECIFIED
Künzer, ClaudiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bachofer, FelixUNSPECIFIEDhttps://orcid.org/0000-0001-6181-0187UNSPECIFIED
Date:8 July 2025
Journal or Publication Title:Aquaculture
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:610
DOI:10.1016/j.aquaculture.2025.742940
Page Range:pp. 1-23
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Dey, Madan M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:Elsevier
ISSN:0044-8486
Status:Published
Keywords:Aquaculture, Ponds, Dynamics, Asia, Satellite time series, Landsat, Sentinel-1, Sentinel-2, Earth observation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Ottinger, Dr. Marco
Deposited On:01 Sep 2025 09:04
Last Modified:01 Sep 2025 09:04

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