基于GEE云平台的三江源湖泊面积提取及动态变化

祁昌贤, 任燕, 彭海月, 魏加华, 王永强, 李琼

长江科学院院报 ›› 2023, Vol. 40 ›› Issue (7) : 179-185.

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长江科学院院报 ›› 2023, Vol. 40 ›› Issue (7) : 179-185. DOI: 10.11988/ckyyb.20220806
长江源科学考察与研究专栏

基于GEE云平台的三江源湖泊面积提取及动态变化

  • 祁昌贤1, 任燕1,2,3, 彭海月1, 魏加华1,2,3,4, 王永强5, 李琼1,2,3
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Extracting the Dynamic Change of Lake Area in the Three-River Headwaters Region Based on Google Earth Engine

  • QI Chang-xian1, REN Yan1,2,3, PENG Hai-yue1, WEI Jia-hua1,2,3,4, WANG Yong-qiang5, LI Qiong1,2,3
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摘要

基于GEE(Google Earth Engine)遥感云计算平台和Landsat TM、ETM+和OLI卫星影像数据,采用修正归一化水体指数(MNDWI)、归一化植被指数(NDVI)和增强植被指数(EVI)等多个指数的综合水体识别算法,提取三江源区1990—2020年大于1 km2的湖泊面积,结合气象、冰川编目、冻土分布等数据分析了湖泊面积变化及其影响因素。结果表明:1990年以来,三江源区湖泊增加了46个,湖泊面积从10 811.8 km2增加到12 449.53 km2,增长了15%;其中,黄河源区湖泊面积增长了10%,长江源区湖泊面积增长了29%,长江源区较黄河源湖泊面积增幅更明显。平均气温升高和降水量增加是湖泊面积增加的主要因素;气温升高导致冰川退缩和冻土退化,使得冰川补给型湖泊和冻土区湖泊面积增加更快,这就是长江源区湖泊增长更为明显的主因,而黄河源湖泊面积增长与降水变化联系更为紧密。

Abstract

Based on Google Earth Engine (GEE) remote sensing cloud computing platform and Landsat TM, ETM+ and OLI satellite image data, a comprehensive water body identification algorithm with multiple indices such as Modified Normalized Difference Water Index (MNDWI), Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) was used to extract the area of lakes larger than 1 km2 in the Three-River Headwaters region (source region of the Yangtze River, the Yellow River, and the Lancang River) from 1990 to 2020. In association with meteorological, glacier cataloguing and permafrost distribution data, the changes of lake area along with their influencing factors were analyzed. The findings of the study reveal a 15% increase in the overall lake surface area from 10 811.8 km2 to 12 449.53 km2, with 46 new lakes in the Three Rivers area since 1990. Specifically, the increase in lake area differed across sources, with more visible changes observed in the Yangtze River source area (29%) compared to the Yellow River source area (10%). Rising average temperature and increased precipitation were identified as the primary factors behind the increase in lake area. Specifically, increasing temperature caused glacier retreat and permafrost degradation, resulting in a faster increase in the area of glacier-replenished lakes and lakes located in permafrost areas. Precipitation was more closely related to the increase of lake area in the Yellow River source area.

关键词

三江源 / GEE遥感云计算平台 / 湖泊面积 / 湖泊动态变化 / 气候变化

Key words

Three-Rivers Headwaters / GEE remote sensing cloud computing platform / lake area / dynamic changes of lake / climate change

引用本文

导出引用
祁昌贤, 任燕, 彭海月, 魏加华, 王永强, 李琼. 基于GEE云平台的三江源湖泊面积提取及动态变化[J]. 长江科学院院报. 2023, 40(7): 179-185 https://doi.org/10.11988/ckyyb.20220806
QI Chang-xian, REN Yan, PENG Hai-yue, WEI Jia-hua, WANG Yong-qiang, LI Qiong. Extracting the Dynamic Change of Lake Area in the Three-River Headwaters Region Based on Google Earth Engine[J]. Journal of Changjiang River Scientific Research Institute. 2023, 40(7): 179-185 https://doi.org/10.11988/ckyyb.20220806
中图分类号: P343.3   

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基金

青海省科技计划-重大科技专项(2021-SF-A6)

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