Lake long-time-sequence continuous water area change reconstruction method based on remote sensing big data platform

A big data platform and lake technology, applied in the field of remote sensing, can solve the problems of incomplete reflection of lake waters, limited research development, and low spatial resolution.

Active Publication Date: 2019-12-13
NANJING INST OF GEOGRAPHY & LIMNOLOGY
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Problems solved by technology

These methods still have various problems to be overcome, the spatial resolution of the former is not high (90m), the latter is due to sensor failure (such as SLC failure of Landsat-7ETM+ sensor) and image availability (lack of available high-quality images in some months), etc. The reason is that some of the results cannot fully reflect the submerged area of ​​lake water due to the la

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  • Lake long-time-sequence continuous water area change reconstruction method based on remote sensing big data platform
  • Lake long-time-sequence continuous water area change reconstruction method based on remote sensing big data platform
  • Lake long-time-sequence continuous water area change reconstruction method based on remote sensing big data platform

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Embodiment 1

[0050] Embodiment 1 Taking Poyang Lake from January 2000 to October 2015 as an example, the method of the present invention is further described.

[0051] Such as figure 1 As shown, the research area is selected as the Poyang Lake area, with a total area of ​​about 3074 square kilometers. The image data uses Landsat-5, 7, 8TM, ETM+, OLI sensor optical remote sensing image data from February 1984 to October 2015. The auxiliary data includes Randolph Glacier Inventory 5.0 glacier data, Global Human Settlement DataLayer (GHSL) buildings data, DEM digital elevation model data, etc.

[0052] The flow process of the inventive method is as figure 2 shown, including the following steps:

[0053] Step 1. Obtain the remote sensing image data, and extract the water body raster images in the optical remote sensing images of each scene;

[0054] Combining expert system, visual analysis and evidence reasoning, water bodies are extracted from optical remote sensing images (Peke et al.,...

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Abstract

The invention provides a lake long-time-sequence continuous water area change reconstruction method based on a remote sensing big data platform. Based on a multi-year month-by-month global water bodydistribution data set obtained by a water body extraction scheme integrating an expert system, visual analysis and evidence reasoning in the prior art, through percentage cutting of a water logging frequency image histogram of a researched lake object, an incomplete part in a lake water area inundated area obtained through an existing method is interpolated, and reconstruction of large lake long-time-sequence continuous water area changes is effectively achieved. According to the method, medium-high spatial resolution images (such as land resource satellite Landsat or environmental satellite environmental data) and auxiliary data which are obtained freely can be adopted, the application range of the method is expanded, and an important method support is provided for hydrological analysis and environmental change research of lakes and drainage basins of the lakes.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a method for reconstructing changes in long-term continuous water areas of lakes based on a remote sensing big data platform. Background technique [0002] Lakes play a role in maintaining, purifying and storing surface water and are an important part of the water cycle (Lehnerand 2004), its formation and evolution are not only affected by natural environmental factors and changes in the basin, but also deeply disturbed by human activities (Yang Guishan, Ma Ronghua, Zhang Lu, et al., 2010). Changes in lake water reflect regional water balance, biological Geochemical balance, energy and gas exchange with the atmosphere, and human water consumption (Sheng et al., 2016), and drastic changes in lake water volume will have an impact on the local ecological environment (Feng et al., 2012). The continuous water change data of lakes can be used to evaluate lake changes, provide ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06V20/182G06V10/267G06F18/23
Inventor 宋春桥吴倩浛刘凯马荣华
Owner NANJING INST OF GEOGRAPHY & LIMNOLOGY
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