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Method for Determining Temporal and Spatial Attributes of Offshore Wind Farm Based on Time Series Remote Sensing Images

A remote sensing image and time series technology, applied in the field of remote sensing geosciences, can solve problems such as blurring of target pixels, and achieve the effect of good effect, simple and easy execution steps, and reduced manual participation.

Active Publication Date: 2022-02-25
NANJING UNIV
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  • Abstract
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Problems solved by technology

However, the target pixel may be blurred due to complex background noise (such as clouds, waves, reflections on water, and banding effects)

Method used

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  • Method for Determining Temporal and Spatial Attributes of Offshore Wind Farm Based on Time Series Remote Sensing Images
  • Method for Determining Temporal and Spatial Attributes of Offshore Wind Farm Based on Time Series Remote Sensing Images
  • Method for Determining Temporal and Spatial Attributes of Offshore Wind Farm Based on Time Series Remote Sensing Images

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Embodiment Construction

[0027] The present invention will be described in detail below, and the technical route and operating steps of the present invention are more clear. The data used in the examples of the present invention is to cover LandsatTM, ETM, OLI, and Sentinel MSI data in the European North Sea. The data time span is June 2008 to June 2018.

[0028] figure 1 The flow chart of the disconnection method of the present invention based on the time series remote sensing image, the specific steps are as follows:

[0029] The first step is to prepare a multi-source remote sensing optical image, build a time series band data set. Specifically include the following aspects:

[0030] a. Batch download coverage of the research area's range of Landsat-5TM, Landsat-7TM +, Landsat-8oli, and Sentinel-2MSI data, the spatial resolution of the visible optical band of Landsat and Sentinel is 30m and 10m, respectively.

[0031] b. Select a partially inspected part of the offshore turbine position as a sample po...

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Abstract

The invention relates to a method for determining the time-space attributes of offshore wind farms based on time-series remote sensing images. The method uses massive multi-source long-time-series optical remote sensing data, and the higher spatial and temporal resolution enhances the accuracy of remote sensing image detection. Robustness greatly improves the monitoring ability of offshore targets, and can quickly and automatically identify the spatio-temporal attributes of large-scale offshore wind farms. The implementation steps of this method are simple and easy, and the effect is good in the extraction area and even the global offshore wind farm. The invention uses optical image data with a long time and large spatial coverage, and utilizes an optimized statistical filter and a sliding window to realize accurate extraction of offshore wind farms on a large spatial scale. This invention contributes to compiling a detailed, timely and efficiently updated inventory of spatio-temporal properties of offshore wind farms, which can complement official databases. At the same time, it provides a scientific reference for the future management of marine wind energy resources and the potential impact of development areas on marine ecosystems.

Description

Technical field [0001] The present invention relates to an offshore wind farm extraction method based on a long sequence optical remote sensing image. It belongs to the field of remote sensory applications. [0002] technical background [0003] Today, with the increasing depletion of stone energy such as coal, oil and natural gas, environmental pollution is increasingly serious, and the development of clean renewable energy has been imminent. To this end, the governments of the world have developed the goal of increasing cleaning renewable energy production. Wind energy is a rich natural resource due to its advantages of low cost, no pollution, renewable renewal, has been rapidly developed worldwide. However, the growth of the total number of wind turbines on the land tends to be saturated, and the sea wind energy is more powerful, more stable and low, and the advantages of less conflicts with other land use activities have been developed. The annual statistics released by the Gl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/13G06V10/26G06T7/66
CPCG06T7/66G06V20/13G06V10/267
Inventor 许文轩刘永学刘永超赵冰雪孙超陆婉芸李慧婷吴伟
Owner NANJING UNIV