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LONG TIME SERIES EXTRACTION AND CHANGE ANALYSIS OF PERENNIAL AND SEASONAL WATER SURFACE IN HEILONGJIANG BASIN BASED ON GOOGLE EARTH ENGINE
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摘要: 遥感影像空间覆盖广、更新周期短，是快速提取大区域水面信息的可行技术，对水资源开发利用、管理和保护具有重要意义。针对年际内受降水波动性影响，充分应用年份内所有可用的影像数据构建年均水体指数，来减少单期影像难以准确反映年内水面特征的问题，利用Google Earth Engine （GEE）遥感云平台解决了传统影像下载和桌面端处理海量影像数据效率低的问题。以黑龙江流域为研究区，以Landsat影像为数据源，结合地形数据，提取1987—2019年常年水面和季节性水面。研究结果表明：1）相较于单期影像数据，年均水体指数能更全面反映水面的时间信息，水面提取总体精度达到95.32%，其中，常年和季节性水面的总体精度分别为96.59%、94.61%；2）与已有数据产品相比，提取的常年水面更加连续、完整，质量更好；3）近32年来，黑龙江流域常年水面面积波动较大，呈减少趋势，年均减少14.82 km2；季节性水面面积相对平稳，呈增加趋势，年均增加12.81 km2。
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关键词:
- 黑龙江流域 /
- Google Earth Engine /
- Landsat /
- 自适应阈值 /
- 年均水体指数
Abstract: Remote sensing image has wide spatial coverage and short update period, which is a feasible technology to extract water surface information in large area in time, and of great significance to the development, utilization, management and protection of water resources.In view of the influence of precipitation fluctuation within the year, this paper made full use of all available image data to construct the annual average water body index, so as to reduce the problem that was difficult to accurately reflect the water surface characteristics in a single period image. The Google Earth Engine (GEE) remote sensing cloud platform was used to solve the problem of low efficiency of traditional image download and desktop processing of massive image data. Taking Heilongjiang Basin as the research area, taking Landsat Image as data source, combined with topographic data, annual water surface and seasonal water surface from 1987 to 2019 were extracted. The results showed that:1) compared with the single period image data, the annual average water body index could reflect the time information of water surface more comprehensively, and the overall accuracy of water surface extraction was 95.32%, in which the annual and seasonal water surface were 96.59% and 94.61% respectively; 2) compared with the existing data products, the annual water surface extracted in this paper was more continuous, complete and of better quality; 3) in recent 32 years, the annual water surface area of Heilongjiang Basin fluctuated greatly, showing a decreasing trend, with an average annual decrease of 14.82 km2; the seasonal water surface was relatively stable, showing an increasing trend, with an average annual increase of 12.81 km2.-
Key words:
- Heilongjiang Basin /
- Google Earth Engine /
- Landsat /
- adaptive threshold /
- annual average water index
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