Dynamic monitoring method for monthly change of surface water body
A technology for dynamic monitoring and water body, applied in the field of remote sensing geoscience applications, can solve the problems of the need to improve the extraction accuracy of water bodies, hinder the implementation of regular dynamic monitoring, and lack of dynamic monitoring of surface water bodies by remote sensing, etc., so as to improve detection accuracy and eliminate coherent speckle noise. , the effect of alleviating the error transmission
Pending Publication Date: 2022-03-18
NANJING UNIV
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Problems solved by technology
[0004] There is still a lack of research on methods for remote sensing dynamic monitoring of surface water bodies. The current main technical problems include: (1) It is difficult to avoid the influence of uncertain weather conditions for water body extraction from optical images, which seriously restricts the time series stability of data required for dynamic monitoring projects sexual construction
Especially in the rainy season with strong seasonal changes in water bodies, due to the sparsity of optical data time series, it hinders the implementation of regular and routine dynamic monitoring
(2) SAR data has the advantages of all-weather and full-time observation capabilities, but due to the influence of low backscattering targets on the land surface, the accuracy of water body extraction based on SAR images needs to be improved
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[0030] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.
[0031] The example study area of the present invention is the plain of the middle and lower reaches of the Yangtze River, and the monitoring time is from January 2016 to December 2020. The flowchart of the large-scale dynamic monitoring of surface water based on the fusion of optical and SAR images in this embodiment is as follows figure 1 shown, including the following steps:
[0032] The first step is active and passive remote sensing data preparation. Google Earth Engine (GEE) stores the entire preprocessed Sentinel-1GRD and Sentinel-2 data, and allows users to directly access and call, so this embodiment carries out data processing and ana...
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The invention relates to a surface water monthly change dynamic monitoring method fusing optics and SAR images, and belongs to the technical field of remote sensing application. The method comprises the following four parts: (1) data preparation and preprocessing: constructing a monthly continuous SAR data set through preprocessing such as monthly median synthesis and image filtering; (2) extracting an initial water body range: extracting a water body range of an optical image full-coverage month by utilizing a water body-vegetation factor coupling index (AWVI) and a water body automatic extraction rule; and (3) continuously extracting the change range of the water body, namely, establishing a multi-level rule to extract the monthly change range of the water body by combining post-classification comparison and a CVA analysis method. And (4) monthly water body range continuous inversion: extracting a water body initial range by using optical remote sensing and extracting a change range by using SAR, and realizing water body monthly dynamic monitoring through a continuous mapping strategy of bidirectional iteration inversion. Technical support is provided for space-time continuous dynamic monitoring of the surface water body.
Description
technical field [0001] The invention relates to a dynamic monitoring method for monthly changes of surface water bodies, and belongs to the technical field of remote sensing geoscience applications. [0002] technical background [0003] The change of surface water body is a complex model under the coupling effect of climate change and human disturbance. Climatic factors not only affect the interannual scale evolution of water bodies, but also endow surface water bodies with periodic seasonal fluctuations. Exploring the periodic and seasonal laws of surface water bodies is of great significance to regional water resources management, ecological dynamic balance and sustainable development. [0004] There is still a lack of research on methods for remote sensing dynamic monitoring of surface water bodies. The current main technical problems include: (1) It is difficult to avoid the influence of uncertain weather conditions for water body extraction from optical images, which s...
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IPC IPC(8): G06V20/10G06V10/25G06V10/26G06V10/30G06V10/764G06V10/774G06K9/62
CPCG06F18/214G06F18/24
Inventor 杜培军郭山川唐鹏飞方宏林聪
Owner NANJING UNIV