Research on Construction Method of Water Body Database in Wuhan City
Abstract
Water is the source of life, the factor of production and the basis of ecology. When controlling flood disasters and planning water use, it is necessary to use the local water body information, so how to grasp the local water body information accurately and real-time
becomes crucial. With the development of modern science and technology, image information can be quickly obtained by remote sensing
satellites, and corresponding water system information can be obtained by processing satellite image data, and water body database can
be established. This paper takes Wuhan city as the research object, uses Landsat-8 satellite images in 2020 as the data source, adopts the
normalized differential water index method (NDWI) to extract water system information, and then constructs the database of the obtained
water system information of Wuhan City through ArcGIS software, which can provide basic information for water data management of
Wuhan City.
becomes crucial. With the development of modern science and technology, image information can be quickly obtained by remote sensing
satellites, and corresponding water system information can be obtained by processing satellite image data, and water body database can
be established. This paper takes Wuhan city as the research object, uses Landsat-8 satellite images in 2020 as the data source, adopts the
normalized differential water index method (NDWI) to extract water system information, and then constructs the database of the obtained
water system information of Wuhan City through ArcGIS software, which can provide basic information for water data management of
Wuhan City.
Keywords
Remote sensing image; NDWI; Database
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PDFReferences
[1] Yin Yaqiu, Li Jiaguo, Yu Tao, et al. Research on object-oriented water extraction method based on high-resolution remote sensing image
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[2] Cui Qi, Wang Jie, Wang Min, et al. Water body extraction from object-oriented high-resolution remote sensing images with vector constraints [J]. Remote Sensing Information, 2018, 33(04):115-121.
[3] Zhang Minghua. Extraction of water body information in extremely high mountain area by improved spectral relation model [J]. Geography and Geo-Information Science, 2008, 24(2):14-16.
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