KR102490001B1 - System for measuring biomass of sargassum horneri and method thereof - Google Patents

Abstract

The present invention relates to a system (1) for measuring a biomass of Sargassum horneri and a method thereof, and more particularly to the system (1) for measuring a biomass of Sargassum horneri and a method thereof, analyzing a satellite image to derive the location and biomass of Sargassum horneri, thereby enabling easy response. The system for measuring a biomass of Sargassum horneri includes a pre-processing unit; a biomass algorithm derivation unit; and a result value derivation unit.

Description

The biomass measurement system and method of the hoesaeng hatban {SYSTEM FOR MEASURING BIOMASS OF SARGASSUM HORNERI AND METHOD THEREOF}

The present invention relates to a black cap biomass measurement system (1) and a method therefor, and more particularly, by analyzing satellite images and deriving the position and biomass of black caps, enabling easy response It relates to a biomass measurement system (1) for hoesaeng and its method.

It is known that the brown algae that grows on the reefs of the intertidal zone have numerous air sacs (air sacs) morphologically, so that they can float on the surface of the seawater even if they fall from the bedrock, enabling long-distance movement.

From recent years ago, a large-scale extrinsic origin of hoesaeng hatban, which has grown between winter and early summer, has been introduced to the domestic coast and has been accumulated on a large scale. As the accumulated caps decay, they cause odors and various pests, and cause various problems such as damaging the aesthetics and damaging the tourism industry as well as hindering the operation of small ships. In addition, there is also a problem such as incurring a separate cost to treat caps and caps introduced into the domestic coast.

In order to process the introduced capsular spots, a method of continuously monitoring or detecting the capsular spots is required, and satellite video image analysis is known to be the most effective means for the detection. However, up to now, satellite imagery has been used only to determine the presence and location of caps, and the method of estimating the biomass has not been used. Therefore, it is difficult to respond accurately and easily.

In order to solve such a problem, the inventors of the present invention propose a novel capricorn biomass measurement system and method having an improved method, which will be described in detail later.

Korean Patent Registration No. 10-1737354 'Method and system for detecting seaweed surface using optical satellite image'

It was devised to solve the problems of the prior art,

An object of the present invention is to provide a system and method for measuring the biomass of a capsular capsitum, which enables easy response by analyzing the received satellite image and deriving the biomass as well as the position of the capsnakes caps on the seawater surface. .

In addition, the present invention converts the upper atmospheric radiation value into a reflectance value in the received satellite image, and then removes the reflectance due to atmospheric molecular scattering, thereby making it possible to accurately estimate the biomass of the oyster cap floating on the seawater surface. The purpose of this study is to provide a biomass measurement system and method for the live trichomes.

In addition, an object of the present invention is to provide a system and method for measuring the capricorn biomass in which a more accurate result value is obtained by removing the surrounding area irrelevant to the detection of the cappita cappita from the received satellite image.

In addition, the present invention derives the correlation between the vegetation index and the biomass using the biomass of the hoebait and the remote reflectance value for each wavelength, thereby making it possible to more easily estimate the biomass of the hoebait on the seawater surface. The purpose is to provide a capillary biomass measurement system and method.

In addition, the present invention provides a method and method for measuring the size of a black cap in an image consisting of a large number of pixels by applying a reference value for extracting a black cap in a satellite image image. But it has a purpose.

The present invention can be implemented by an embodiment having the following configuration in order to achieve the above-described object.

According to an embodiment of the present invention, the system for measuring the biomass of a hoesaeng hat spot according to the present invention includes a pre-processing unit for editing a received satellite image; a biomass algorithm derivation unit that calculates a relational expression related to the biomass of the hoe hat half; and a result value derivation unit for deriving the position and biomass of the hoesaeng cap based on the relational expression calculated by the biomass algorithm derivation unit for the preprocessed satellite image.

According to another embodiment of the present invention, the pre-processing unit in the hoesaeng biomass measurement system according to the present invention includes a reflectivity conversion module that converts a radiant value of the upper atmospheric layer into a reflectance value for the upper atmospheric layer. .

According to another embodiment of the present invention, the pre-processing unit in the hoeer cap biomass measurement system according to the present invention uses molecular scattering to remove reflectance due to atmospheric molecular scattering from the reflectance value of the upper atmospheric layer converted through the reflectance conversion module. It is characterized in that it further comprises a; correction module.

According to another embodiment of the present invention, the pre-processing unit in the black capsular biomass measurement system according to the present invention further includes a peripheral region removal module that calculates and removes a peripheral region unrelated to black capsicum detection. to be characterized

According to another embodiment of the present invention, the biomass algorithm derivation unit in the black cap biomass measurement system according to the present invention includes a reflectivity calculation module for deriving remote reflectivity for each biomass and each wavelength of the black cap; and a biomass relational expression derivation module for deriving a correlation between the vegetation index and biomass of the hoesaengban based on the biomass and remote reflectivity for each wavelength of the hoesaengban by the albedo calculation module.

According to another embodiment of the present invention, the result value derivation unit in the hoe hat half biomass measurement system according to the present invention includes a reference value application module for deriving a reference value from the correlation expression derived through the biomass relation expression derivation module. It is characterized by doing.

According to another embodiment of the present invention, the reference value application module in the hoesaengban biomass measurement system according to the present invention applies the vegetation index value when the biomass has a value of 0 in the correlation expression as a reference value. to be

According to another embodiment of the present invention, the result value derivation unit in the hoeen hat spot biomass measurement system according to the present invention further includes a hoeer hat spot extraction module for extracting the hoeen hat spot from the satellite image, The black cap extract module is characterized in that it specifies pixels that exceed a reference value for each pixel constituting the artificial phase image, and calculates the cap biomass value of the black cap within the specified pixel.

According to an embodiment of the present invention, the method for measuring the biomass of a black cap-ban according to the present invention includes: a biomass algorithm derivation unit for calculating a relational expression related to the biomass of a black cap-ban; and a result value derivation unit for deriving the position and biomass of the hoesaeng cap based on the relational expression calculated by the biomass algorithm derivation unit for the preprocessed satellite image; Deriving a correlation expression of values; and deriving the location and biomass of the black cap in the received satellite image based on the correlation equation.

According to another embodiment of the present invention, the step of deriving the correlation equation in the method for measuring the biomass of the black capsular cap according to the present invention includes the step of deriving the remote reflectivity for each biomass and wavelength of the black capsular cap; and deriving a correlation between the vegetation index value and biomass of the hoesaeng hatban based on the biomass and telereflectivity for each wavelength of the hoesaeng hatban.

The present invention has the following effects by the above configuration.

The present invention has an effect of enabling an easy response by analyzing the received satellite image and deriving the biomass as well as the location of the black cap on the seawater surface.

In addition, the present invention converts the upper atmospheric radiation value into a reflectance value in the received satellite image, and then removes the reflectance due to atmospheric molecular scattering, thereby enabling an accurate estimation of the biomass of the oyster cap floating on the seawater surface. have

In addition, the present invention has an effect of deriving a more accurate result value by removing the surrounding area irrelevant to the detection of the hoesaeng cap from the received satellite image.

In addition, the present invention derives the correlation between the vegetation index and the biomass using the biomass of the crocodile and the remote reflectance value for each wavelength, thereby making it possible to more easily estimate the biomass of the crocodile on the surface of seawater. indicate

In addition, the present invention has an effect of enabling easy identification of a black hat in an image composed of a plurality of pixels by applying a reference value for extracting a black hat in a satellite image.

On the other hand, even if the effects are not explicitly mentioned here, it is added that the effects described in the following specification expected by the technical features of the present invention and their provisional effects are treated as described in the specification of the present invention.

1 is a block diagram of a hoesaeng hat half biomass measurement system according to an embodiment of the present invention;
Fig. 2 is a block diagram of a preprocessor according to Fig. 1;
Fig. 3 is a block diagram of a biomass algorithm deriving unit according to Fig. 1;
4 is a conceptual diagram for explaining the configuration of a RAMSES radiometer;
5 is a reference diagram showing that the water bucket contains different biomass of hoesaeng caps;
FIG. 6 is a graph showing remote reflectivity for each biomass and each wavelength of a hoesaeng cap through the reflectivity calculation module according to FIG. 3;
FIG. 7 is a graph showing the correlation between NDVI and biomass of a black cap through the biomass relationship expression derivation module according to FIG. 3;
8 is a block diagram of a result value deriving unit according to FIG. 1;
9 is a flow chart of a method for measuring the biomass of a hoeen hat spot according to an embodiment of the present invention;
Fig. 10 is a flowchart for the preprocessing step according to Fig. 9;
Figure 11 is a flow chart for the step of deriving the biomass correlation equation according to Figure 9;
FIG. 12 is a flow chart for the step of deriving the biomass of the hoesaeng hatban according to FIG. 9 .

Hereinafter, embodiments of the present invention will be described in more detail with reference to the accompanying drawings. Embodiments of the present invention may be modified in various forms, and the scope of the present invention should not be construed as being limited to the following examples, but should be interpreted based on the matters described in the claims. In addition, this embodiment is only provided as a reference in order to more completely explain the present invention to those skilled in the art.

As used herein, the singular form may include the plural form unless the context clearly indicates otherwise. Also, when used herein, "comprise" and/or "comprising" specifies the presence of the recited shapes, numbers, steps, operations, elements, elements, and/or groups thereof. and does not exclude the presence or addition of one or more other shapes, numbers, operations, elements, elements and/or groups.

In the present specification, it should be noted that the individual components may be formed integrally or independently as needed, and there is no separate limitation thereto.

1 is a block diagram of a hoesaeng hat half biomass measurement system according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings, a detailed description of the capricorn biomass measurement system 1 through satellite image analysis according to an embodiment of the present invention will be given.

Referring to FIG. 1 , the present invention relates to a black cap biomass measurement system (1), and more particularly, by analyzing an artificial satellite video image and deriving the position and biomass of the black cap cap, thereby enabling easy response. It relates to a biomass measurement system (1) for a hoesaeng hat half that makes it possible. That is, the measurement system 1 according to an embodiment of the present invention is characterized in estimating not only the existence and location of the hoeer cap in the ocean, but also its biomass.

To this end, the measurement system 1 may include a preprocessing unit 10, a biomass algorithm derivation unit 30, and a result value derivation unit 50.

FIG. 2 is a block diagram of a preprocessing unit according to FIG. 1 .

Referring to FIGS. 1 and 2 , the pre-processing unit 10 edits the received satellite image. The received satellite image can be edited to calculate the biomass of the hoeer cap. To this end, the image editing unit 10 may include a reflectivity conversion module 110, a molecular scattering correction module 130, and a peripheral region removal module 150.

The reflectivity conversion module 110 is a module that converts a radiance value of a Top Of Atmosphere (TOA) into a reflectance value for the upper atmosphere layer. Since the result value deriving unit 50 described later estimates the biomass of the hoe hat half based on the reflectance value, a configuration for converting the radiant value by the reflectance conversion module 110 into a reflectance value is required.

This reflectivity conversion module 110, for example

(1) a(λ) = (π * b(λ)) / (c(λ) * cos(d))

(2) c(λ) = e(λ) * f(g)

Through this, it is possible to convert the radiant value of the upper atmospheric layer into a reflectance value. In Equation (1), λ is a specific wavelength (Wavelength), a(λ) is the reflectance of the upper atmosphere, b(λ) is the amount of radiation in the upper atmosphere, c(λ) is the amount of solar radiation incident on the earth, and d is the solar zenith angle. , In equation (2), e is the amount of solar radiation in space without considering the Sun-Earth distance, f is the Sun-Earth distance coefficient, and g is a value representing the day of the year.

The molecular scattering correction module 130 is a module that removes Rayleigh reflectance due to atmospheric molecular scattering from the reflectance value of the upper atmospheric layer converted through the reflectivity conversion module 110 . In general, the reflectance value of the upper atmosphere, which is the a(λ) value converted through the albedo conversion module 110, includes the influence of the atmosphere, and the corresponding atmospheric influence is required to estimate the biomass of the oyster cap floating on the seawater surface. should be removed Therefore, the molecular scattering correction module 130 removes reflectivity due to atmospheric molecular scattering, and a specific process thereof is, for example, Equation (3) below.

(3) h(λ) = a(λ) - i(λ)

to be. In Equation (3), h(λ) is the reflectance value after removing atmospheric influence, and i(λ) is the reflectance due to atmospheric molecular scattering.

The peripheral region removal module 150 is a module that calculates and removes the peripheral region irrelevant to the detection of the black cap in the satellite image. For example, the peripheral area removal module 150 may calculate and exclude land areas, clouds, and turbid sea water areas, which are not related to the detection of capricorn, as necessary. The removal of the peripheral region may be performed using reflectance values for each wavelength in individual pixels of the satellite video image, and there is no separate limitation thereto.

FIG. 3 is a block diagram of a biomass algorithm deriving unit according to FIG. 1 .

Referring to FIGS. 1 and 3 , the biomass algorithm derivation unit 30 is a component that calculates a relational expression related to the biomass of a black hat. The biomass algorithm derivation unit 30 may include a reflectivity calculation module 310 and a biomass relation expression derivation module 330 .

Hereinafter, the experimental process for the process of calculating the relational formula by the biomass algorithm derivation unit 30 will be described in detail.

4 is a conceptual diagram for explaining the configuration of a RAMSES radiometer; 5 is a reference diagram showing that the water bucket contains different biomass of hoesaeng caps.

half a hoe Pretreatment

The filtered seawater is prepared by filtering the seawater with a polycarbonate filter paper (Whatman Nuclepore Track-Etched Membranes) having a pore diameter of 0.2 μm. That is, various foreign substances that may affect the reflectivity value in seawater are removed.

Thereafter, the hoesaeng cap is washed with filtered seawater to remove foreign substances. That is, the cleaning process is performed because foreign substances on the hoe hat can affect the reflectivity value. The hoesaeng hatban is, for example, a hoesaeng hatban of Chinese origin, which is collected from the sea where the ocean current flows from China to the Korean Peninsula.

Then, put the hoesaeng hat half on a sieve to remove water at room temperature for about 5 minutes. As a result, the pretreatment for the hoesaeng hat half is completed.

half a hoe to biomass Preparation for reflectivity measurements according to

Referring to FIG. 4 , in order to measure the reflectivity according to the biomass of the hoesaeng hatban, a water container (A) to contain the hoesaeng hatban is prepared. It is preferable to use a matte black water bottle in order to minimize the effect of reflectivity by the water bottle itself. In addition, a RAMSES radiometer (TriOS RAMSES) is prepared, and the radiometer has three sensors (Se1, Se2, Se3), and the first sensor (Se1) is an upward irradiance or irradiance (E _d (0 ⁺ , λ)), the second sensor (Se2) measures the amount of air light or the radiance (L _sky (λ)), and the third sensor (Se3) measures the total amount of light exported or exported radiance (L _wT (λ)) )) is measured, and a detailed description thereof is replaced with Equation (4) below. Since each of the sensors Se1, Se2, and Se3 is fixedly installed in a fixed position and collects light, it is advantageous in that accurate results can be obtained under uniform conditions.

Afterwards, referring to FIG. 5 , from the state in which only filtered seawater is present in the water tank (A), the water tank (A) is filled with different biomass of oyster cap several times and then waits until the seawater is stabilized. Then, using the RAMSES radiometer, the reflectivity of each hoeer hat is measured.

Thereafter, the biomass relational expression of the hoe hat patch is derived through the albedo calculation module 310 and the biomass relational expression derivation module 330, which will be described in detail below.

FIG. 6 is a graph showing remote reflectivity for each biomass and each wavelength of a hoesaeng cap through the reflectivity calculation module according to FIG. 3 .

Referring to FIGS. 3 and 6 , the reflectivity calculation module 310 is a module that derives the remote reflectivity for each biomass and each wavelength of the black cap. Illustratively,

(4) L _w (λ) = L _wT (λ) - L _sky (λ) * F _r (λ,θ)

(5) R _rs (0 ⁺ ,λ) = L _w (λ)/E _d (0 ⁺ ,λ) * [sr ^-1 ]

to be.

In Equation (4), L _w (λ) is the amount of exported light or exported radiance (Water Leaving Radiance; unit W/m ² /nm/sr), and L _wT (λ) is the total is the amount of exported light or exported radiance (Total Water Leaving Radiance; unit W/m ² /nm/sr), and L _sky (λ) is the amount of air light or radiance (Sky Radiance; unit W/m ² /nm/sr) to be. Also, in F _r (λ, θ), F _r means the Fresnel reflection between the atmosphere and the sea surface, and θ means the incident angle at this time. The relationship between L _w (λ), L _wT (λ), and L _sky (λ) is _explained . (L _w (λ)) and some light from the atmosphere (L _sky (λ)) reflected from the sea surface are mixed.

In Equation (5), R _rs (0 ⁺ ,λ) is Remote Sensing Reflectance (unit _sr ^-1 ), which is the reflectance observed from a satellite or aircraft, It means the value divided by the irradiance of sunlight (E _d ). In addition, E _d (0 ⁺ ,λ) is down-welling irradiance (unit W/m ² /nm), which is the total amount of light incident on the sea surface in the direction of 180 degrees directly above the sea surface. is the measured value. And sr ^-1 is the solid angle (Steradian), which is caused by the unit difference between the irradiance (E _d ) value observed on the plane and the exported light amount (L _w ) value of the hoe hat half observed through the sensor field of view (IFOV) is the value Referring to FIG. 6, the remote reflectivity for each biomass and each wavelength of the black cap can be obtained through equations (4) and (5).

FIG. 7 is a graph showing the correlation between NDVI and biomass of a black cap through the biomass relationship expression derivation module according to FIG. 3 .

3 and 7, the biomass relationship expression derivation module 330 calculates the relationship between the vegetation index and the biomass of the hoesaeng capban based on the biomass of the hoesaeng hatban and the remote reflectivity for each wavelength through the reflectivity calculation module 310. This is a module that derives a correlation expression. The vegetation index algorithm may be, for example, NDVI (Normalized Difference Vagetation Index; Weier and Herring, 2000; General Vegetation Index), but is not limited thereto within the scope of the present invention.

For example, vegetation index algorithms include DVI (Richardson and Wiegand, 1977), EVI (Huete and Justice, 1999), MCI (Gower et al., 2005), FAI (He et al., 2009), SABI (Alawadi, 2010), IGAG (Son et al., 2012), SAI (Gracia et al., 2013), AFAI (Wang and Hu, 2016), or VB-FAH (Xing and Hu, 2016). there is.

Hereinafter, for example, the vegetation index algorithm will be described based on the case of using NDVI. What is NDVI?

(6) NDVI = (R _NIR - R _RED ) / (R _NIR + R _RED )

can be defined as R _NIR is the remote reflectance value of the hoeer cap in the near infrared (NIR) region, and R _RED is the remote reflectance value in the infrared region. For example, in FIG. 6 , R _NIR may be 765 nm and R _RED may be 660 nm. Accordingly, a correlation between the vegetation index and the biomass (kg/m ² ) may be derived using the remote albedo values for each biomass and for each wavelength by the albedo calculation module 310 . The correlation expression is for example

(7) Y = AX + B

, where the X value is the vegetation index (for example, NDVI), and the Y value means the biomass of the black cap. A and B values in Equation (7) may be different depending on the range of vegetation index, but are not limited thereto. In addition, Equation (7) is expressed as a linear function for convenience, but may also be expressed as an n-order function (n is a natural number equal to or greater than 2) and is not limited thereto.

8 is a block diagram of a result value deriving unit according to FIG. 1;

Referring to FIGS. 1 and 8 , the result value derivation unit 50 is based on the correlation equation derived by the biomass algorithm derivation unit 30 for the received satellite image (satellite image image preprocessed as necessary). This is a configuration for deriving the position and biomass of the hoesaeng cap in the image. The result value deriving unit 50 may include a reference value application module 510 and a hoe hat spot extraction module 530 .

The reference value application module 510 is a module that applies a reference value for extracting a black hat in a satellite image from the correlation equation derived through the biomass relation equation derivation module 330 . For example, the reference value may be derived by applying the X value when Y has a value of 0 in Equation (7) as the minimum value.

The hoeer cap extraction module 530 is a module for extracting the hoeer cap from the satellite image, and for example, it can extract the hoeer cap for each pixel in the image to derive the location and biomass. More specifically, all pixels exceeding or exceeding the minimum X value through the reference value application module 510 may be specified. In this way, the location of the hoesaeng's cap in the image can be specified. After that, the Y value within the specified pixel may be calculated to derive the biomass of the hoesaeng cap.

9 is a flowchart of a method for measuring the biomass of a hoesaeng hat spot according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings, a method (S1) for measuring capella biomass through satellite image analysis according to an embodiment of the present invention will be described in detail. Each step may be performed differently in time from that described, and any plurality of steps may be performed substantially simultaneously, and there is no particular limitation thereto.

In addition, since the measurement method (S1) is performed through the above-described measurement system (1), a detailed description thereof will be omitted.

10 is a flow chart of the preprocessing step according to FIG. 9;

First, referring to FIG. 9 , the received satellite video image is pre-processed (S10). Step S10 may be performed through the pre-processing unit 10. Referring to FIG. 10 in detail, first, the radiant value of the upper atmosphere layer is converted into a reflectance value (S110). Step S110 may be performed through the reflectivity conversion module 110 . Then, the reflectance due to atmospheric molecular scattering is removed from the upper atmosphere reflectance value converted in step S110 (S130). Step S130 is performed through the molecular scattering correction module 130 . When steps S110 and S130 are completed, the surrounding area irrelevant to the detection of the black cap is specified and removed from the satellite video image (S150). That is, the land area, clouds, etc., which are not related to the detection of the black cap, are removed, and can be performed through the peripheral area removal module 150.

FIG. 11 is a flowchart of the step of deriving the biomass correlation equation according to FIG. 9 .

And, referring to FIG. 9, a correlation between the vegetation index and biomass of the hoesaeng hatban is derived (S30). Step S30 may be performed through the biomass algorithm derivation unit 30 . Referring to FIG. 11, step S30 will be described in detail. First, the remote reflectivity for each biomass and each wavelength of the black cap is derived (S310). Step S310 may be performed through the reflectivity calculation module 310 .

When step S310 is finished, a correlation expression between the vegetation index and biomass of the hoeen hatban is derived based on the biomass and telereflectivity for each wavelength of the hoeboy hatban in step S310 (S330). Step S330 may be performed through the biomass relational expression derivation module 330 .

FIG. 12 is a flow chart for the step of deriving the biomass of the hoesaeng hatban according to FIG. 9 .

Subsequently, referring to FIG. 9 , the location and biomass of the hoesaeng hat in the preprocessed satellite image are derived based on the correlation equation through step S30 (S50). Step S50 may be performed through the result value deriving unit 50 . Referring to FIG. 12, step S50 will be described in detail. First, a reference value for extracting a hoeer hat is applied in the correlation equation by step S330 (S510). Step S510 is performed through the reference value application module 510, and applies the X value when Y has a value of 0 in Equation (7) as the reference value or minimum value.

Then, the location and biomass of the hoeer cap in the satellite image preprocessed in step S10 are extracted (S530). Step S530 is performed through the capsular caps extraction module 530, and in detail, the location of the caps is specified by specifying pixels that are equal to or greater than the X reference value in the satellite video image, and the Y value within the specified pixels is calculated to obtain the entire biomass can be derived.

The above detailed description is illustrative of the present invention. In addition, the foregoing is intended to illustrate and describe preferred embodiments of the present invention, and the present invention can be used in various other combinations, modifications and environments. That is, changes or modifications are possible within the scope of the concept of the invention disclosed in this specification, within the scope equivalent to the written disclosure and / or within the scope of skill or knowledge in the art. The foregoing embodiment describes the best state for implementing the technical idea of the present invention, and various changes required in specific application fields and uses of the present invention are also possible. Therefore, the above detailed description of the invention is not intended to limit the invention to the disclosed embodiments.

1: hoesaeng hat half biomass measurement system
10: pre-processing unit
110: reflectivity conversion module 130: molecular scattering correction module
150: peripheral area removal module
30: biomass algorithm derivation unit
310: reflectivity calculation module 330: biomass relationship expression derivation module
50: result value derivation unit
510: reference value application module 530: hoesaeng hat half extraction module
Se1. Se2. Se3: sensor
S1: Method for measuring the biomass of the hoesaeng hat spot

Claims (10)

a pre-processing unit for editing the received satellite video image;
a biomass algorithm derivation unit that calculates a relational expression related to the biomass of the hoe hat half; and
With respect to the preprocessed satellite image, a result value derivation unit for deriving the position and biomass of the black cap based on the relational expression calculated by the biomass algorithm derivation unit;
The biomass algorithm derivation unit
a reflectivity calculation module for deriving remote reflectivity for each biomass and each wavelength of the black hat half using the amount of exported light and the upward irradiance of the half black hat half; And a biomass relational expression derivation module for deriving a correlation between the vegetation index and biomass of the hoesaeng cap based on the biomass of the hoesaeng cap and the remote reflectance for each wavelength by the albedo calculation module;
The result value derivation unit
A reference value application module for deriving a reference value from the correlation expression derived through the biomass relational expression derivation module.
The method of claim 1, wherein the pre-processing unit
A reflectivity conversion module for converting an upper atmospheric radiation value into a reflectance value for the upper atmospheric layer;
The method of claim 2, wherein the pre-processing unit
A molecular scattering correction module for removing reflectivity due to atmospheric molecular scattering from the reflectance value of the upper atmospheric layer converted through the reflectance conversion module;
The method of claim 3, wherein the pre-processing unit
A peripheral area removal module that calculates and removes a peripheral area irrelevant to the detection of the oleander capricorn;
delete delete The method of claim 1, wherein the reference value application module
The biomass measurement system of the hoesaeng hatban, characterized in that the vegetation index value when the biomass has a value of 0 in the correlation equation is applied as a reference value.
The method of claim 7, wherein the result value deriving unit
It further includes a hoesaeng hatban extraction module for extracting a hoesaeng hatban from a satellite image image,
The hoesaeng hat half extraction module
A black cap biomass measurement system, characterized in that it specifies pixels that exceed a reference value for each pixel constituting an artificial phase image and calculates a black cap biomass value within the specified pixel.
a biomass algorithm derivation unit that calculates a relational expression related to the biomass of the hoe hat half; and a result value derivation unit for deriving the position and biomass of the hoesaeng cap based on the relational expression calculated by the biomass algorithm derivation unit for the preprocessed satellite image image;
The biomass algorithm derivation unit
a reflectivity calculation module for deriving remote reflectivity for each biomass and each wavelength of the black hat half using the amount of exported light and the upward irradiance of the half black hat half; And a biomass relational expression derivation module for deriving a correlation between the vegetation index and biomass of the hoesaeng cap based on the biomass of the hoesaeng cap and the remote reflectance for each wavelength by the albedo calculation module;
The result value derivation unit
A reference value application module for deriving a reference value from the correlation equation derived through the biomass relational expression derivation module;
Deriving a correlation expression between the vegetation index value and the biomass value of the hoesaeng hatban; and
Based on the correlation equation, deriving the position and biomass of the hoesaeng cap in the received satellite image;
The step of deriving the correlation equation is
Deriving remote reflectivity for each biomass and each wavelength of the black cap; and deriving a correlation between the vegetation index value and the biomass of the hoeen hatban based on the biomass and the remote reflectivity for each wavelength of the hoeboy hatban. delete

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