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Remote sensing estimation method and device and readable storage medium for thickness of permafrost active layer

A technology for estimating device and active layer, applied in the field of remote sensing, can solve the problems of difficulty in obtaining the thickness of active layer, high cost, time-consuming and labor-intensive, etc.

Active Publication Date: 2019-01-08
NORTHWEST INST OF ECO-ENVIRONMENT & RESOURCES CAS
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the observation of the thickness of the active layer of permafrost mainly relies on ground measurements. The main measurement methods are freeze-thaw tubes or borehole observations, which have poor spatial representation, time-consuming, labor-intensive, high cost and low timeliness, and it is difficult to obtain a large-scale space. Continuously distributed active layer thickness information
The spatial estimation of the thickness of the active layer is mostly based on Stephen's formula and Kudryavtsev's empirical formula. These empirical models rely on observations of air temperature or soil surface temperature from weather stations. Since weather stations in permafrost regions are extremely rare, this Severely limited monitoring of permafrost active layer thickness

Method used

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  • Remote sensing estimation method and device and readable storage medium for thickness of permafrost active layer
  • Remote sensing estimation method and device and readable storage medium for thickness of permafrost active layer
  • Remote sensing estimation method and device and readable storage medium for thickness of permafrost active layer

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Embodiment 1

[0052] Please refer to figure 1 , figure 1 It is a schematic flowchart of the method for estimating the thickness of the permafrost active layer based on remote sensing provided by Embodiment 1 of the present invention. Said estimation methods include:

[0053] Step S101: Obtain remote sensing data and auxiliary data of the area to be estimated;

[0054] Step S102: Estimate the thickness of the permafrost active layer in the estimated area according to the preset calculation formula for the thickness of the permafrost active layer, the remote sensing data and the auxiliary data.

[0055] It should be noted that the remote sensing data include: surface temperature melting index DDT, annual average leaf area index LAI, and snow cover days SnowD, and the auxiliary data include related soil data, and the categories of the related soil data include: soil sand particles Content Sand, soil clay content Clay, soil silt content Silt, soil organic carbon content Org and soil density ...

Embodiment 2

[0101] Please refer to Figure 4 , Figure 4 It is a functional block diagram of a remote sensing estimation device for permafrost active layer thickness provided by Embodiment 2 of the present invention. The remote sensing estimation device is used for estimating the thickness of the permafrost active layer, and includes: an acquisition unit 201 and a processing unit 202 .

[0102] The acquisition unit 201 is used to acquire remote sensing data and auxiliary data of the area to be estimated. The remote sensing data includes: surface temperature melting index DDT, annual average leaf area index LAI and snow days SnowD. The auxiliary data includes relevant soil data, so The categories of related soil data include: soil sand content Sand, soil clay content Clay, soil silt content Silt, soil organic carbon content Org and soil density Bld;

[0103] The processing unit 202 is used to estimate the thickness of the permafrost active layer in the estimated area according to the pre...

Embodiment 3

[0129] Embodiment 3 of the present invention provides a readable storage medium, and a computer program is stored in the readable storage medium. When the computer program runs on a computer, the computer executes the remote sensing-based remote sensing method described in Embodiment 1. method of estimating. The present invention will not repeat this.

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Abstract

The invention provides a remote sensing estimation method and device and a readable storage medium for the thickness of a permafrost active layer. The method comprises the following steps: obtaining remote sensing data and auxiliary data of an estimated area; estimating the thickness of the permafrost active layer in the estimated area according to a preset formula for calculating the thickness ofthe permafrost active layer, remote sensing data and auxiliary data, wherein the formula for calculating the thickness of the permafrost active layer is shown in the description. The embodiment of the present invention is base on a preset formula for calculating the thickness of the active lay of permafrost and related data, such as land surface temperature melting index, leaf area index, snow days and soil properties, and obtains measurement data of the thickness of permafrost active layer, and estimates the thickness of permafrost active layer by estimating parameters in the calculation formula. The thickness of permafrost active layer can be monitored continuously in time and space by using the data obtained from remote sensing observation.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a remote sensing estimation method, device and readable storage medium for the thickness of the permafrost active layer. Background technique [0002] At present, the observation of the thickness of the active layer of permafrost mainly relies on ground measurements. The main measurement methods are freeze-thaw tubes or borehole observations, which have poor spatial representation, time-consuming, labor-intensive, high cost and low timeliness, and it is difficult to obtain a large-scale space. Continuously distributed active layer thickness information. The spatial estimation of the thickness of the active layer is mostly based on Stephen's formula and Kudryavtsev's empirical formula. These empirical models rely on observations of air temperature or soil surface temperature from weather stations. Since weather stations in permafrost regions are extremely rare, this Severe...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 冉有华
Owner NORTHWEST INST OF ECO-ENVIRONMENT & RESOURCES CAS
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