10メートル解像度の湖岸湿地動的データセットを開発(Chinese Scientists Develop Dynamic Dataset of Lakeshore Wetlands at 10-meter Resolution)

2026-07-06 中国科学院(CAS)

中国科学院東北地理・農業生態研究所の研究チームは、2019~2023年を対象に、中国全土の湖岸湿地(Lakeshore Wetlands: LSWs)を10m空間分解能で把握した動的データセットを構築した。湖岸湿地は湖水位の変動に伴って境界が絶えず変化するため、広域かつ高精度な把握が困難であった。研究では、時系列のSentinel衛星リモートセンシングデータを利用した自動識別手法を開発し、全国規模で湖岸湿地の分布や変化を高精度に抽出するとともに、その変動要因を解析した。その結果、湖岸湿地は湿潤な中国南東部に多く分布し、全国的には流域流出量が最も重要な支配要因であることが判明した。また、寒冷地域では気温上昇や融雪、乾燥地域では降水量や蒸発量の変化が湿地変動に大きく影響し、干ばつと洪水の頻発は湖水位変動を増幅して湿地の変化を加速させることが示された。本データセットは、湿地保全、生態系評価、科学的管理に役立つとともに、世界規模での湖岸湿地モニタリング技術の発展にも貢献すると期待される。

<関連情報>

2019年から2023年までのセンチネル衛星データを用いた中国の湖岸湿地の変化の追跡 Tracking lakeshore wetland changes in China using Sentinel satellite data from 2019 to 2023

Yajie Chen, Zongming Wang, Ling Luo, Yanzhu Fu, Dehua Mao
Journal of Hydrology: Regional Studies  Available online: 29 June 2026
DOI:https://doi.org/10.1016/j.ejrh.2026.103674

10メートル解像度の湖岸湿地動的データセットを開発(Chinese Scientists Develop Dynamic Dataset of Lakeshore Wetlands at 10-meter Resolution)

Highlights

  • Inundation frequency was used to delineate lakeshore wetlands in China.
  • Spatiotemporal variations of lakeshore wetlands were first examined.
  • Heterogeneous hydrologic change affected the distribution and variation in LSWs.
  • Alternating droughts and floods led to increased magnitude of water level changes of LSWs.

Abstract

Study region
The lakes with area larger than 100 km2 in China

Study focus
A novel method integrating time-series Sentinel imagery (2019–2023) with an inundation frequency-based classification algorithm was developed to obtain the spatial distribution of lakeshore wetlands (LSWs). By applying the developed method, a spatial distribution dataset of China’s LSWs with a 10-meter spatial resolution for the period of 2019–2023 was established. The spatiotemporal patterns of China’s LSWs were further investigated based on the dataset and the driving mechanism of variations in LSWs under the extreme climatic conditions was discussed. The research findings were expected to support water environment management, biodiversity conservation, and watershed sustainable development.

New hydrological insights
Mapping results revealed that LSWs exhibit distinct spatial heterogeneity, with denser distributions in humid southeastern China. A net LSWs area loss of 2769.50 km² occurred during the study period, primarily resulting from dramatic lake shrinkage in the Eastern Plains (EP) ecoregion. Basin runoff constituted the primary controlling factor nationwide, while temperature and snowmelt exerted stronger influences in cold zones, and precipitation–evaporation dynamics dominated in arid regions. Alternating droughts and floods can lead to more frequent changes in hydrologic processes and an increase in the magnitude of water level changes in LSWs. The variations of LSWs caused by the hydrological changes would cause notable ecological effects including changes in waterbird habitat and greenhouse gas emissions.

1902環境測定
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