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High and cold wetland degradation degree monitoring method based on remote sensing data

A technology for remote sensing data and degradation degree, applied in data processing applications, complex mathematical operations, scattering characteristics measurement, etc.

Inactive Publication Date: 2022-04-19
赵锐锋
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In the existing research, many studies have three indicators that do not show the obvious effect of dimensionality reduction after dimensionality reduction. At the same time, the calculation of large-scale pixel data is very time-consuming, which makes principal component analysis sometimes difficult to explain the clear assignment method.

Method used

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  • High and cold wetland degradation degree monitoring method based on remote sensing data
  • High and cold wetland degradation degree monitoring method based on remote sensing data
  • High and cold wetland degradation degree monitoring method based on remote sensing data

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Embodiment 1

[0060] see figure 1 , an embodiment of the present invention is a method for monitoring the degree of degradation of alpine wetlands based on remote sensing data, comprising the following steps:

[0061] S1 uses the GEE platform to extract landsat data and obtain the annual NDVI, NDWI, NDSI and LST image data. The four data represent the four indicators of humidity, greenness, dryness and heat respectively. NDVI is one of the best indicators to characterize vegetation growth and vegetation coverage. It is a quantitative value of surface vegetation status calculated from the spectral information received by remote sensing sensors. It is closely related to plant biomass, leaf area index and vegetation coverage. Calculation The formula is as follows:

[0062]

[0063] where p nir ,p red ,p blu It is the surface reflectance value of LandsatTM, OLI mid-near infrared (NIR) (0.77-0.90μm), red (0.63-0.69μm), blue (0.45-0.52μm) bands. The range of this NDVI value is in the (-1,...

Embodiment 2

[0102] The embodiment of this paper is based on the method provided in Example 1, taking Maqu County, Gannan Tibetan Autonomous Prefecture, Gansu Province as the research area, and using the method for monitoring the degradation degree of alpine wetlands based on remote sensing data proposed by the present invention to evaluate and monitor the Maqu area from 1990 to 2020 The main steps of the degradation degree of alpine wetland are as follows:

[0103] (1) Based on the Google Earth Engine (GEE) platform, the LandsatTM, ETM, OLI (remote sensing data) data of the study area from 1990 to 2020 were obtained, with a spatial resolution of 30×30m. Subsequently, based on the GEE platform, preprocessing, cropping, mosaic and other operations were performed on the data, and the remote sensing images of the study area were synthesized to extract the vegetation index, water body index, soil index and heat index. The calculation formula in this study area is as follows:

[0104]

[01...

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Abstract

The invention provides a high and cold wetland degradation degree monitoring method based on remote sensing data, belongs to the technical field of evaluation, and can be applied to the field of wetland resource protection. The technology and the method are completely based on remote sensing data output by a GEE cloud platform, including a normalized vegetation index (NDVI), a normalized water body index (NDWI), a normalized drought index (NDSI) and a surface temperature (LST), and a high and cold wetland degradation index model (AWDI) constructed based on a knowledge rough entropy method, so that the spatial and temporal change process of the regional wetland is rapidly and accurately monitored, and the accuracy of the regional wetland is improved. Therefore, the degradation degree of the wetland is reflected more objectively. All input data of the index model provided by the invention can be obtained through a remote sensing inversion method, and pass precision test, so that the obtained evaluation result can be implemented in space, and the characteristics of wetland degradation in space can be monitored more finely.

Description

technical field [0001] The invention relates to the field of remote sensing technology application and wetland resource protection, in particular to a method for monitoring the degradation degree of alpine wetland based on remote sensing data. Background technique [0002] As one of the three major ecosystems in the world, wetlands play an important role in storing water, regulating river runoff, recharging groundwater, and providing habitats for a variety of animals and plants. In recent years, due to the common influence of human society and global climate change, the structure and function of the alpine grassland ecosystem on the Qinghai-Tibet Plateau have undergone irreversible changes, and the degradation of wetlands is very serious. Wetlands make important contributions to both humans and the environment and are one of the most important ecosystems. The problem of wetland degradation is mainly manifested in the expansion of the degraded area, and the degradation proce...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/26G06F17/18G01N21/55
CPCG06Q10/06393G06Q50/26G06F17/18G01N21/55
Inventor 赵锐锋陈万远张丽华李玲慧贾志斌王梦梦蒿廉伊韩梓佚明思雨
Owner 赵锐锋
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