Mapping of land-based aquaculture regions in Southeast Asia and its Spatiotemporal change from 1990 to 2020 using time-series remote sensing data

被引:4
|
作者
Zhang, Junyao [1 ,2 ]
Yang, Xiaomei [1 ,2 ]
Wang, Zhihua [1 ,2 ]
Liu, Yueming [1 ,2 ]
Liu, Xiaoliang [1 ,2 ]
Ding, Yaxin [1 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
基金
国家重点研发计划;
关键词
Aquaculture; Spatiotemporal change; Google Earth Engine; Remote sensing monitoring; Southeast Asia; SURFACE-WATER; INDEX;
D O I
10.1016/j.jag.2023.103518
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Aquaculture, a crucial component of global food production, faces sustainability challenges due to increased competition for natural resources, environmental pollution, and subpar management practices. Understanding spatial-temporal changes in aquaculture distribution can offer insights into guiding its scientific and sustainable development. While Southeast Asia constitutes a key player in global aquaculture, there exists a significant gap in long-term remote sensing monitoring of aquaculture changes at a sub-continental scale. To fill this gap, this study introduces a workflow for aquaculture extraction that combines both automated and manual methods, based on water and edge frequency detection. By using time series of Landsat images and Sentinel-2 images on the GEE platform, we extracted spatial distribution data of aquaculture in Southeast Asia for five periods from 1990 to 2020. This data, boasting an accuracy exceeding 89.53% and peaking at 95.49%, laid the foundation for investigating the spatial distribution patterns, temporal-spatial changes, and area center changes of aquaculture across the study periods. The results showed that the period of aquaculture rapid expansion was concentrated in the first two decades, followed by a gradual decline in the expansion rate, and a consistent northwestward movement of the area center. The spatial distribution pattern of aquaculture in Southeast Asia gradually changed from "Indonesia and the other producers each account for 40% and 60%" to "Vietnam, Indonesia and the other producers each account for 40%, 30%, and 30%".
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Dynamics of coastal land-based aquaculture pond in China and Southeast Asia from 1990 to 2020
    Jiang, Yufeng
    Li, Jing
    Zhang, Zhen
    Li, Yi
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 127
  • [2] Regional land cover mapping and change detection in Central Asia using MODIS time-series
    Klein, Igor
    Gessner, Ursula
    Kuenzer, Claudia
    [J]. APPLIED GEOGRAPHY, 2012, 35 (1-2) : 219 - 234
  • [3] Mapping syndromes of land change in Spain with remote sensing time series, demographic and climatic data
    Stellmes, M.
    Roeder, A.
    Udelhoven, T.
    Hill, J.
    [J]. LAND USE POLICY, 2013, 30 (01) : 685 - 702
  • [4] Spatiotemporal graph-based analysis of land cover evolution using remote sensing time series data
    Zou, Xinyu
    Liu, Xiangnan
    Liu, Meiling
    Tian, Lingwen
    Zhu, Lihong
    Zhang, Qian
    [J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2023, 37 (05) : 1009 - 1040
  • [5] Synchronization and control of spatiotemporal chaos using time-series data from local regions
    Parekh, N
    Kumar, VR
    Kulkami, BD
    [J]. CHAOS, 1998, 8 (01) : 300 - 306
  • [6] Land Use and Land Cover Change Dynamics across the Brazilian Amazon: Insights from Extensive Time-Series Analysis of Remote Sensing Data
    Carreiras, Joao M. B.
    Jones, Joshua
    Lucas, Richard M.
    Gabriel, Cristina
    [J]. PLOS ONE, 2014, 9 (08):
  • [7] Vegetation Change of Ecotone in West of Northeast China Plain Using Time-series Remote Sensing Data
    Huang Fang
    Wang Ping
    [J]. CHINESE GEOGRAPHICAL SCIENCE, 2010, 20 (02) : 167 - 175
  • [9] Vegetation change of ecotone in west of Northeast China plain using time-series remote sensing data
    Fang Huang
    Ping Wang
    [J]. Chinese Geographical Science, 2010, 20 : 167 - 175
  • [10] Identification of Green Tide Decomposition Regions in the Yellow Sea, China: Based on Time-Series Remote Sensing Data
    Zhang, Guangzong
    He, Yufang
    Niu, Lifeng
    Wu, Mengquan
    Kaufmann, Hermann
    Liu, Jian
    Liu, Tong
    Kong, Qinglei
    Chen, Bo
    [J]. Remote Sensing, 2024, 16 (24)