TWI706123B - A method for measuring water depth of large-scale habitat points of waterbirds - Google Patents

Abstract

A method for measuring the water depth of large-scale habitats of waterbirds, including the following steps: inputting a plurality of absolute terrain elevation data corresponding to a plurality of measuring points of a wetland into a computer system, and using the computer system Describe a plurality of absolute terrain elevation data to perform an interpolation calculation to generate a continuous absolute terrain elevation distribution; use a water level measuring instrument to measure the absolute elevation data of a water level of the wetland; use the computer system to take a picture of an empty space of the wetland Image processing is performed on the map to obtain a habitat distribution of a water bird; and the computer system is used to map the continuous absolute terrain elevation distribution according to each habitat in the habitat distribution to generate a habitat absolute terrain elevation According to the absolute elevation data of the water level and the absolute terrain elevation distribution of the habitat, a difference calculation procedure is performed to generate a water depth distribution of the habitat of waterbirds.

Description

A method for measuring water depth of large-scale inhabiting points of waterbirds

The invention relates to a measurement method, in particular to a method for measuring the depth of water at a large-scale habitat point for waterbirds.

Wetland is a transitional zone between terrestrial ecosystem and aquatic ecosystem. As a unique natural habitat, wetland has extremely rich biodiversity resources and provides a good habitat for many wild animals, especially waterbirds. Foraging environment.

In the past century, human activities have caused the loss of more than 50% of the world's wetlands, and the remaining wetlands have also been degraded to varying degrees. The importance of constructed wetlands as habitats for water birds will continue to increase.

There are many groups of waterbirds. If they are classified according to their habitat use patterns, they are mainly related to their morphological characteristics, feeding habits and foraging behaviors. Therefore, the waterbirds’ distribution points can know their preferred water depth, and the water level can be adjusted as their habitat. Means of management. For example, Snipe, plover, and teal use locations within 12 cm, 7 cm, and 10 cm depth respectively; Anatidae requires two types of habitats, which are bare ground and shoal resting within 12 cm, and 12 ~30 cm deep water for food; the great egrets and small egrets of the hernidae use bare land to a depth of 40 cm on average, but the big egrets have a high demand for surrounding vegetation, and the small egrets use a higher proportion of bare land and shallows; The black-faced spoonbill prefers a depth of 18 to 35 cm and rests bare.

Some literature points out that within a certain range of water depths, the water depth is negatively correlated with the number of waterbirds. Other literature points out that when the low water level (Taiwan level origin-35 cm) rises to the high water level (-25 cm), the water depth will be within 12 cm. The area has been reduced from 20% to 10%, directly impacting the total amount of waterbirds (20% reduction). Among them, the impact is the greatest for Snipe and Plover waterbirds, reducing 70% of the individuals. Anatidae has the largest number in the middle water level (-30 cm), and decreases by 20% when it is raised to the high water level.

The loss and degradation of wetlands have a great impact on waterbirds that depend on wetlands for habitat. Therefore, it is known that effective regulation of appropriate water levels can provide high-quality habitats for waterbirds in wetland reserves and ensure the diversity of waterfowl species.

However, the current national, domestic and foreign documents that discuss the relationship between waterfowl habitat use and water depth have the following limitations, which make it impossible to obtain the best global solution and are not efficient:

1. It can only cover 3 to 4 species at most, and cannot fully cover all species on the wetland.

2. The water depth used by the waterfowl habitat is only a visual assessment of the relative height of the water level and the tarsal phalanx, or the entire puddles and depressions are regarded as the same depth, which lacks scientificity, making the water bird’s habitual water depth impossible to cross reference.

3. Unable to cover a large area of habitat. 4. The water depth measurement of the location of a single waterfowl can only be carried out, and the waterfowl will fly away when humans approach, and large-scale water depth measurement of the waterfowl point cannot be performed.

In order to solve the above-mentioned problems, a novel water depth measurement method for large-scale habitats of waterbirds is urgently needed in this field.

One purpose of the present invention is to disclose a water depth measurement method for large-scale habitats of waterbirds, which can efficiently obtain the point distribution of a large number of waterbirds on a large area of habitat without disturbing the waterbirds.

Another purpose of the present invention is to disclose a water depth measurement method for large-scale habitats of waterbirds, which can be calculated by performing an interpolation calculation program on the absolute topographic elevation data of a plurality of measurement points in a large area of habitat. Obtain a continuous absolute terrain elevation distribution to facilitate the comparison of the point distribution of a waterfowl, so as to quickly obtain the absolute terrain elevation distribution of a waterfowl habitat.

Another object of the present invention is to disclose a water depth measurement method for large-scale habitats of waterfowl, which can efficiently measure waterfowls on large-area habitats by using aerial photographic phase diagrams with absolute terrain elevation distribution and water level absolute elevation data The habitual water depth of, thus generating the water depth distribution of the habitat of waterfowl for environmental decision-making.

To achieve the aforementioned purpose, a method for measuring the depth of waterfowl's large-scale inhabitation points is proposed, which includes the following steps: inputting plural absolute terrain elevation data corresponding to plural measuring points of a wetland into a computer system And use the computer system to perform an interpolation calculation on the plurality of absolute terrain elevation data to generate a continuous absolute terrain elevation distribution; use a water level measuring instrument to measure the absolute elevation data of a water level in the wetland; use the computer The system performs an image processing on the photographic phase map of the wetland to obtain a habitat distribution of a water bird; and uses the computer system to map the continuous absolute terrain elevation according to each habitat in the habitat distribution The distribution is used to generate an absolute topographic elevation distribution of a habitat, and a difference calculation procedure is performed based on the absolute elevation data of the water level and the absolute topographic elevation distribution of the habitat to generate a water depth distribution of a waterfowl habitat.

In a possible embodiment, the water level measuring device is an optical water level measuring device or a pressure water level measuring device.

In a possible embodiment, the interpolation calculation is implemented by using an inverse distance weight method.

In addition, another method for measuring water depth of large-scale habitats of waterbirds is proposed, which is characterized by including the following steps: inputting a plurality of absolute terrain elevation data corresponding to a plurality of measurement points of a wetland into a computer system , And use the computer system to perform an interpolation calculation on the plurality of absolute terrain elevation data to generate a continuous absolute terrain elevation distribution; use a water level measuring instrument to measure the water level of the wetland in a plurality of different periods to obtain A plurality of water level absolute elevation data; use the computer system to perform image processing on the plurality of empty photographic phase diagrams of the wetland in the plurality of different periods to obtain a plurality of habitat distributions of a water bird; and use the computer system The continuous absolute terrain elevation distribution is mapped according to the plurality of habitat points in the distribution of each of the habitat points to generate a plurality of absolute terrain elevation distributions of the habitat points, and according to the absolute elevation data of the water level and the absolute terrain elevation of the plurality of habitat points The terrain elevation distribution performs a difference calculation program to generate a plurality of habitat water depth distributions, and integrate the plurality of habitat water depth distributions into a water bird habitat water depth distribution.

In a possible embodiment, the water level measuring device is an optical water level measuring device or a pressure water level measuring device.

In a possible embodiment, the interpolation calculation is implemented by using an inverse distance weight method.

In addition, another method for measuring the depth of the waterfowl's large-scale habitat is proposed, which is applied to a wetland with a first zone and a second zone, and is characterized by the following steps: A first absolute terrain elevation distribution and a second absolute terrain elevation distribution corresponding to the plurality of measurement points in the first area and the plurality of measurement points in the second area are input to a computer system, and the computer system Perform an interpolation calculation on the first absolute terrain elevation distribution and the second absolute terrain elevation distribution to generate a continuous first absolute terrain elevation distribution and a continuous second absolute terrain elevation distribution; use a water level measuring instrument to measure Take the water level of the first area and the second area to obtain a first water level absolute elevation data and a second water level absolute elevation data; use the computer system to take a photo of the first empty space of the first area and the first area Perform an image processing to obtain a first habitat distribution and a second habitat distribution of a kind of water bird on the second empty photographic phase map of the second area; the computer system is used for each of the first habitat distributions A habitat location maps the continuous first absolute terrain elevation distribution to generate a first habitat location absolute terrain elevation distribution, and maps the continuous second absolute terrain location according to each habitat location in the second habitat location distribution The elevation distribution is used to generate a second habitat absolute topographic elevation distribution; and a difference calculation procedure is performed based on the first water level absolute elevation data and the first habitat absolute topographic elevation distribution to generate a first habitat water depth distribution, according to The second absolute elevation data of the water level and the absolute topographic elevation distribution of the second habitat are subjected to the difference calculation procedure to generate a second habitat depth distribution, and the first habitat depth distribution and the second habitat distribution The water depth distribution is integrated into a waterfowl habitat water depth distribution.

In a possible embodiment, the water level measuring device is an optical water level measuring device or a pressure water level measuring device.

In a possible embodiment, the interpolation calculation is implemented by using an inverse distance weight method.

In order to enable your reviewer to further understand the structure, features and purpose of the present invention, drawings and detailed descriptions of preferred specific embodiments are attached as follows.

Please refer to FIG. 1, which shows a flowchart of a preferred embodiment of the water depth measurement method for large-scale habitat locations of waterbirds of the present invention.

As shown in Figure 1, the method for measuring the depth of water at a large-scale habitat point of waterfowl according to the present invention is characterized by including the following steps:

Input a plurality of absolute terrain elevation data corresponding to a plurality of survey points of a wetland into a computer system, and use the computer system to perform an interpolation calculation on the plurality of absolute terrain elevation data to generate a continuous Absolute terrain elevation distribution (step a); use a water level measuring device to measure the absolute elevation data of a water level of the wetland (step b); use the computer system to perform an image processing on a photographic phase map of the wetland to obtain a water bird A habitat distribution (step c); and use the computer system to map the continuous absolute terrain elevation distribution according to each habitat in the habitat distribution to generate a habitat absolute terrain elevation distribution, and A difference calculation procedure is performed on the absolute elevation data of the water level and the absolute terrain elevation distribution of the habitat to generate a water depth distribution of the habitat of the water bird (step d).

Wherein, the absolute terrain elevation data refers to the difference between the surface of the wetland and an absolute datum, and the absolute water level elevation data refers to the difference between the water level of the wetland and the absolute datum.

In a possible embodiment, the water level measurer is, for example, but not limited to, an optical water level measurer or a pressure type water level measurer; for example, but not limited to, the interpolation calculation is realized by an inverse distance weighting method.

In addition, the present invention proposes another method for measuring the depth of water at the large-scale habitat of waterbirds.

Please refer to FIG. 2, which shows a flowchart of another preferred embodiment of the water depth measurement method for large-scale habitat locations of waterbirds of the present invention.

As shown in Fig. 2, the method for measuring the depth of water at a large-scale habitat point of waterfowl of the present invention is characterized by including the following steps:

Input a plurality of absolute terrain elevation data corresponding to a plurality of survey points of a wetland into a computer system, and use the computer system to perform an interpolation calculation on the plurality of absolute terrain elevation data to generate a continuous Absolute terrain elevation distribution (step a1); use a water level measuring instrument to measure the water level of the wetland in a plurality of different periods to obtain a plurality of absolute water level elevation data (step b1); use the computer system in the wetland Perform image processing on a plurality of empty photographic phase maps of a plurality of different periods to obtain a plurality of habitat distributions of a water bird (step c1); and use the computer system according to the plurality of habitats in each of the habitat distributions The point position maps the continuous absolute terrain elevation distribution to generate a plurality of habitat absolute terrain elevation distributions, and a difference calculation program is performed based on the water level absolute elevation data and the plurality of habitat absolute terrain elevation distributions to generate a plurality of habitats Point water depth distribution, and integrate the plurality of habitat water depth distributions into a water bird habitat water depth distribution (step d1).

Wherein, the absolute terrain elevation data refers to the difference between the surface of the wetland and an absolute datum, and the absolute water level elevation data refers to the difference between the water level of the wetland and the absolute datum.

In a possible embodiment, the water level measurer is, for example, but not limited to, an optical water level measurer or a pressure type water level measurer; for example, but not limited to, the interpolation calculation is realized by an inverse distance weighting method.

In addition, the present invention proposes yet another method for measuring the depth of water at the large-scale habitat of waterfowl.

Please refer to FIG. 3, which shows a flowchart of another preferred embodiment of the water depth measurement method for large-scale habitat locations of waterfowl according to the present invention.

As shown in Fig. 3, the water depth measurement method for the large-scale habitat of waterfowl of the present invention is applied to a wetland with a first zone and a second zone, and is characterized by including the following steps:

Input a first absolute terrain elevation distribution and a second absolute terrain elevation distribution corresponding to the plurality of measurement points in the first area and the plurality of measurement points in the second area into a computer system, and use the computer The system performs an interpolation calculation on the first absolute terrain elevation distribution and the second absolute terrain elevation distribution to generate a continuous first absolute terrain elevation distribution and a continuous second absolute terrain elevation distribution (step a2 ); Use a water level measuring device to measure the water levels of the first area and the second area to obtain a first water level absolute elevation data and a second water level absolute elevation data (step b2); use the computer system for the first area Perform image processing on a first empty photographic phase map and a second empty photographic phase map of the second area to obtain a first habitat distribution and a second habitat distribution of a water bird (step c2); The computer system is used to map the continuous first absolute terrain elevation distribution according to each habitat point in the first habitat location distribution to generate a first habitat absolute terrain elevation distribution, and according to the second habitat location distribution Each of the habitat points is mapped to the continuous second absolute terrain elevation distribution to generate a second habitat point absolute terrain elevation distribution (step d2); and based on the first water level absolute elevation data and the first habitat absolute topography The elevation distribution performs a difference calculation program to generate a first habitat water depth distribution, and performs the difference calculation program according to the second water level absolute elevation data and the second habitat absolute terrain elevation distribution to generate a second habitat Point water depth distribution, and integrate the first habitat water depth distribution and the second habitat water depth distribution into a water bird habitat water depth distribution (step e2).

In a possible embodiment, the water level measurer is, for example, but not limited to, an optical water level measurer or a pressure type water level measurer; for example, but not limited to, the interpolation calculation is realized by an inverse distance weighting method.

Digital Terrain Model (DTM) is a digital terrain model that presents the spatial distribution of real terrain features. It was originally proposed by Professor Miller of the Massachusetts Institute of Technology in 1958 and is widely used in remote sensing, geographic information systems, and geodesy. Numerical terrain model is a general term, which can include: Digital Elevation Model (DEM) of natural undulating surface of the ground without vegetation and artificial structures, and Digital Surface Model (Digital Surface Model, which represents the uppermost surface of vegetation and artificial structures) DSM).

The accuracy of a numerical terrain model generally refers to the standard deviation of the difference between the terrain elevation of the model and the true elevation to be represented. The elevation of a numerical terrain model is generally obtained by interpolation of discrete points. According to the definition of survey adjustment, the standard deviation of this random variable represents the accuracy of the interpolation. The interpolation method can select different calculation functions according to the purpose of use. Generally, simple bilinear interpolation, Kriging method, Inverse Distance Weighted (IDW) method and nearest neighbor interpolation are used. Law etc.

The reasons that affect the accuracy of the numerical terrain model include terrain undulations, technical methods for acquiring terrain data, the density of acquiring terrain data, grid resolution, and interpolation models.

In the spatial analysis method for designing wetland protection areas of the present invention, the data interpolation spatial model is, for example, but not limited to, using the inverse distance weighting method to interpolate the terrain data at each point into a continuous numerical elevation model for Improve the accuracy of numerical terrain models.

Please also refer to Figures 4a to 4b. Figure 4a shows the water depth measurement method of the large-scale habitat of waterfowl of the present invention applied to the numerical elevation model of the topography of 22 hectares on the south side of Yongan Wetland. Figure 4b shows Figure 4a. The classification and statistical information.

The IDW (Spatial Analyst) function of ArcGIS is used, the output cell size parameter setting (Output cell size) = 0.1 meters, and the power parameter setting (Power) = 2, but not limited to this.

As shown in the figure, the numerical elevation is divided into 10 levels (Classes), the classification method (Quantile), and the original 4,567 measuring points, 40,971,204 measured values are obtained after inverse distance weight interpolation. It is used to ensure that each subsequent waterfowl point can get a terrain elevation value, and then the water level at that time can be subtracted to obtain the water depth of the waterfowl point.

It can also be seen from the figure that the topography of the 22 hectares of water on the south side of the Yong'an Wetland is fairly flat. Among them, the lowest depression has an elevation value of -1.54 meters (1.54 meters below sea level), and the highest is 0.48 meters, 80% of the location. The elevation value of is between -0.67 meters to -0.34 meters, that is, the elevation difference between bare beach and deep water is about 30 cm. That is to say, the water level can be raised and lowered by 30 cm to make the wetland from full water level to full water level. The conversion between bare beaches is a wetland area that is very suitable for using water depth as a means of habitat creation.

Please refer to Figure 5, which shows a schematic diagram of the water depth calculation of the water depth measurement method for the large-scale habitat of waterfowls of the present invention, where the absolute datum is the origin of Taiwan's leveling (the tides at the Keelung tide gauge station from 1957 to 1991) The data is calculated and named as 2001 Taiwan Elevation Datum); the absolute water level elevation is the difference between the water level and the absolute datum level, and it will change with the survey day; the terrain elevation is a fixed value and it is compared with the absolute datum level The difference between is the absolute terrain elevation; and the water depth is the difference between the absolute elevation of the water level and the absolute terrain elevation.

In summary, the water depth measurement method for large-scale habitat locations of waterfowls of the present invention can accurately record the location of each bird, and the distribution of each species and habitat utilization status can be known by the spatial information presented by the location. And use information such as water depth to diagnose the water depth requirements of individual habitats from the composition of migratory birds in wetlands, and then from the response of bird clusters due to changes in water level, to provide high-quality habitat for waterbirds and ensure species Diversity.

With the design disclosed above, the present invention has the following advantages:

1. The water depth measurement method for large-scale habitat points of waterfowl of the present invention can efficiently obtain the point distribution of a large number of waterfowl on a large area of habitat without disturbing the waterfowl.

2. The water depth measurement method of the large-scale habitat of waterfowl of the present invention can obtain a continuous absolute terrain by performing an interpolation calculation program on the absolute terrain elevation data of a plurality of measurement points in a large area of habitat The elevation distribution is used to facilitate the comparison of the position distribution of a waterfowl, so as to quickly obtain the absolute topographical elevation distribution of a waterfowl habitat.

3. The water depth measurement method for large-scale habitats of waterfowls of the present invention can efficiently measure the habitual water depth of waterfowls on a large area of habitat by using the aerial photographic phase map with the absolute terrain elevation distribution and the absolute water level elevation data, resulting in The water depth distribution of the habitat of waterfowl is used for environmental protection decision-making.

The disclosure in this case is a preferred embodiment, and any partial changes or modifications that are derived from the technical ideas of the case and can be easily inferred by those who are familiar with the art do not deviate from the scope of the patent right of the case.

In summary, regardless of the purpose, means and effect of this case, it is shown that it is very different from the conventional technology, and its first creation is suitable for practicality, and it does meet the patent requirements of the invention. Please check it out and grant the patent as soon as possible. Society is for the best prayer.

Step a: Input a plurality of absolute terrain elevation data corresponding to a plurality of measurement points of a wetland into a computer system, and use the computer system to perform an interpolation calculation on the plurality of absolute terrain elevation data to generate A continuous absolute terrain elevation distribution. Step b: Use a water level measuring device to measure the absolute elevation data of a water level of the wetland; Step c: Use the computer system to perform an image processing on the empty photographic phase map of the wetland to obtain a habitat distribution of a water bird. Step d: Use the computer system to map the continuous absolute terrain elevation distribution according to each habitat location in the habitat location distribution to generate an absolute terrain elevation distribution of a habitat, and according to the absolute elevation data of the water level and the absolute habitat of the habitat The terrain elevation distribution is subjected to a difference calculation program to generate a water depth distribution of a waterfowl habitat. Step a1: Input a plurality of absolute terrain elevation data corresponding to a plurality of measurement points of a wetland into a computer system, and use the computer system to perform an interpolation calculation on the plurality of absolute terrain elevation data to generate A continuous absolute terrain elevation distribution. Step b1: Use a water level measuring device to measure the water level of the wetland in a plurality of different periods to obtain a plurality of water level absolute elevation data. Step c1: Use the computer system to perform image processing on the plurality of empty photographic phase images of the wetland in the plurality of different periods to obtain a plurality of habitat distributions of a water bird. Step d1: Use the computer system to map the continuous absolute terrain elevation distribution according to the plurality of habitat points in each of the habitat point distributions to generate a plurality of absolute terrain elevation distributions of habitat points, and according to the absolute elevation data of the water level and The absolute topographic elevation distributions of the plurality of habitats are subjected to a difference calculation program to generate the water depth distributions of the plurality of habitats, and the water depth distributions of the plurality of habitats are integrated into a water bird habitat water depth distribution. Step a2: Input a first absolute terrain elevation distribution and a second absolute terrain elevation distribution corresponding to the plurality of measurement points in the first area and the plurality of measurement points in the second area into a computer system, and Use the computer system to perform an interpolation calculation on the first absolute terrain elevation distribution and the second absolute terrain elevation distribution to generate a continuous first absolute terrain elevation distribution and a continuous second absolute terrain elevation distribution . Step b2: Use a water level measuring device to measure the water levels of the first area and the second area to obtain a first water level absolute elevation data and a second water level absolute elevation data. Step c2: Use the computer system to perform image processing on the first empty photographed phase map of the first area and the second empty photographed phase map of the second area to obtain a first habitat distribution of a water bird and A second habitat distribution. Step d2: Use the computer system to map the continuous first absolute terrain elevation distribution according to each habitat point in the first habitat location distribution to generate a first habitat absolute terrain elevation distribution, and according to the second habitat Each habitat point in the point position distribution maps the continuous second absolute terrain elevation distribution to generate a second habitat point absolute terrain elevation distribution. Step e2: Perform a difference calculation procedure based on the absolute elevation data of the first water level and the absolute terrain elevation distribution of the first habitat to generate a water depth distribution of the first habitat, according to the absolute elevation data of the second water level and the second habitat The point absolute topographic elevation distribution is performed by the difference calculation program to generate a second habitat water depth distribution, and the first habitat water depth distribution and the second habitat water depth distribution are integrated into a water bird habitat water depth distribution.

FIG. 1 shows a flowchart of a preferred embodiment of the water depth measurement method for large-scale habitat points of waterfowl according to the present invention. FIG. 2 shows a flowchart of another preferred embodiment of the water depth measurement method for the large-scale habitat position of waterfowl according to the present invention. FIG. 3 shows a flowchart of another preferred embodiment of the water depth measurement method for the large-scale inhabitation point of waterfowl according to the present invention. Figure 4a shows the water depth measurement method of the large-scale habitat of waterfowl of the present invention applied to the numerical elevation model of the topography of 22 hectares on the south side of Yongan Wetland Figure 4b shows the classification and statistical information of Figure 4a. FIG. 5 is a schematic diagram of the water depth calculation method of the water depth measurement method of the large-scale habitat point of waterfowl of the present invention.

Step a: Input a plurality of absolute terrain elevation data corresponding to a plurality of measurement points of a wetland into a computer system, and use the computer system to perform an interpolation calculation on the plurality of absolute terrain elevation data to generate A continuous absolute terrain elevation distribution

Step b: Use a water level measuring device to measure the absolute elevation data of one of the wetlands

Step c: Use the computer system to perform an image processing on the photographic phase map of an empty wetland to obtain a habitat distribution of a water bird

Step d: Use the computer system to map the continuous absolute terrain elevation distribution according to each habitat location in the habitat location distribution to generate an absolute terrain elevation distribution of a habitat, and according to the absolute elevation data of the water level and the absolute habitat of the habitat The terrain elevation distribution performs a difference calculation program to produce a waterfowl habitat water depth distribution

Claims (9)

A method for measuring the water depth of a large-scale habitat of waterfowl, which includes the following steps: Input a plurality of absolute terrain elevation data corresponding to a plurality of survey points of a wetland into a computer system, and use the computer system to perform an interpolation calculation on the plurality of absolute terrain elevation data to generate a continuous Absolute terrain elevation distribution; Use a water level measuring device to measure the absolute elevation data of a water level of the wetland; Using the computer system to perform an image processing on the photographic phase map of an empty wetland to obtain a habitat distribution of a water bird; and Use the computer system to map the continuous absolute terrain elevation distribution according to each habitat location in the habitat location distribution to generate an absolute terrain elevation distribution of a habitat, and according to the absolute elevation data of the water level and the absolute terrain elevation distribution of the habitat A difference calculation program is performed to generate a water depth distribution of a waterfowl habitat. For the water depth measurement method for the large-scale habitat point of waterfowl as described in item 1 of the scope of patent application, the water level measuring device is an optical water level measuring device or a pressure water level measuring device. For example, the water depth measurement method for the large-scale inhabitation point of waterfowl as described in item 1 of the scope of patent application, wherein the interpolation calculation is realized by an inverse distance weight method. A method for measuring the water depth of a large-scale habitat of waterfowl, which includes the following steps: Input a plurality of absolute terrain elevation data corresponding to a plurality of survey points of a wetland into a computer system, and use the computer system to perform an interpolation calculation on the plurality of absolute terrain elevation data to generate a continuous Absolute terrain elevation distribution; Use a water level measuring device to measure the water level of the wetland in a plurality of different periods to obtain a plurality of absolute water level elevation data; Using the computer system to perform image processing on the plurality of empty photographic phase maps of the wetland in the plurality of different periods to obtain the distribution of the plurality of habitat locations of a water bird; and The computer system is used to map the continuous absolute terrain elevation distribution according to the plurality of habitat points in each of the habitat point distributions to generate a plurality of absolute terrain elevation distributions of the habitat points, and according to the absolute elevation data of the water level and the complex number A difference calculation procedure is performed on the absolute topographical elevation distribution of each habitat to generate a plurality of habitat water depth distributions, and the water depth distribution of the plurality of habitat positions are integrated into a water bird habitat water depth distribution. As described in item 4 of the scope of patent application, the water depth measurement method for the large-scale inhabitation point of waterfowl, wherein the water level measuring device is an optical water level measuring device or a pressure water level measuring device. As described in item 4 of the scope of patent application, the water depth measurement method for large-scale habitats of waterbirds, wherein the interpolation calculation is realized by the inverse distance weighting method. A method for measuring the depth of water at large-scale habitats of waterbirds is applied to a wetland with a first zone and a second zone. The method includes the following steps: Input a first absolute terrain elevation distribution and a second absolute terrain elevation distribution corresponding to the plurality of measurement points in the first area and the plurality of measurement points in the second area into a computer system, and use the computer The system performs an interpolation calculation on the first absolute terrain elevation distribution and the second absolute terrain elevation distribution to generate a continuous first absolute terrain elevation distribution and a continuous second absolute terrain elevation distribution; Use a water level measuring device to measure the water levels of the first zone and the second zone to obtain a first water level absolute elevation data and a second water level absolute elevation data; Use the computer system to perform an image processing on a first empty photographic phase map of the first zone and a second empty photographic phase map of the second zone to obtain a first habitat distribution of a water bird and a second Distribution of habitats; The computer system is used to map the continuous first absolute terrain elevation distribution according to each habitat point in the first habitat location distribution to generate a first habitat absolute terrain elevation distribution, and according to the second habitat location distribution Each habitat point in the mapping the second continuous absolute terrain elevation distribution to generate a second habitat absolute terrain elevation distribution; and Perform a difference calculation procedure based on the first water level absolute elevation data and the first habitat absolute terrain elevation distribution to generate a first habitat water depth distribution, according to the second water level absolute elevation data and the second habitat absolute topography The elevation distribution performs the difference calculation procedure to generate a second habitat water depth distribution, and integrates the first habitat water depth distribution and the second habitat water depth distribution into a water bird habitat water depth distribution. As described in item 7 of the scope of patent application, the water depth measurement method for the large-scale inhabitation point of waterfowl, wherein the water level measuring device is an optical water level measuring device or a pressure water level measuring device. For example, the water depth measurement method for large-scale habitats of waterfowl as described in item 7 of the scope of patent application, wherein the interpolation calculation is realized by the inverse distance weight method.

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