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System and method for constructing soil available phosphorus analysis model based on satellite images

A satellite image and analysis model technology, applied in neural learning methods, biological neural network models, character and pattern recognition, etc., can solve the problems of high uncertainty in parameter adjustment, large randomness of BP neural network, and insufficient stability of training, etc. Achieve the effects of reducing production costs, high precision, and reducing the consumption of manpower and material resources

Inactive Publication Date: 2021-04-30
哈尔滨航天恒星数据系统科技有限公司
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Problems solved by technology

[0004] In order to solve the problems of large randomness of existing BP neural network and high uncertainty of parameter adjustment, and insufficient training stability, the present invention proposes a system and method for building a soil available phosphorus analysis model based on satellite imagery. The scheme of the present invention is as follows:

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  • System and method for constructing soil available phosphorus analysis model based on satellite images
  • System and method for constructing soil available phosphorus analysis model based on satellite images
  • System and method for constructing soil available phosphorus analysis model based on satellite images

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specific Embodiment approach 1

[0041] Specific implementation mode 1: This embodiment proposes a soil available phosphorus analysis model construction technology system and method based on satellite images. It is far from meeting the large-area acquisition demand for soil available phosphorus on the "surface". However, it is time-consuming, labor-intensive and costly to guide fertilization through a large number of tests of soil available phosphorus content, and it is often impossible to achieve accurate and comprehensive fertilization, which may cause excessive fertilization. Excessive cost investment, polluting the environment, too little fertilization leads to soil compaction and affects crop growth

[0042] Before the crops are sown, on-site soil samples are collected in the target area, and the collected sample data is sent to the laboratory for analysis to determine the available phosphorus content in the soil samples, and at the same time obtain image data during the sample collection period.

[0043...

specific Embodiment approach 2

[0047] Specific implementation mode 2: This embodiment is divided into 7 stages: the original data acquisition stage, sensitivity analysis model construction and image sensitivity analysis stage, sensitive band mathematical transformation stage, transformed band sensitivity analysis stage, model training input and target parameter determination stage, GA-BP neural network model construction stage, model training and verification stage, the specific process is as follows:

[0048] 1. Raw data acquisition stage:

[0049] In accordance with the requirements of the "Technical Specifications for Soil Sample Collection", the soil samples in the target area were collected, packaged and calibrated. The soil sample points in the target area were collected, and the 0-20cm plow layer soil in the operation area was collected by the equidistant sampling method. Take 1kg of soil after fully mixing and evenly. The sampling interval is determined according to the size of the operation range. ...

specific Embodiment approach 3

[0062] Specific implementation mode three: this implementation mode takes the farmland of a certain farm in a certain province as an example, adopts the method of this embodiment, and finally obtains the distribution map of available phosphorus content in cultivated land soil as follows image 3 Shown:

[0063] A farm has an experimental field of 475 mu. According to the actual local conditions, soil samples are collected, the latitude and longitude coordinates of each sampling point and the number of soil samples are recorded, and the soil samples are sent to a professional third-party soil testing laboratory for testing. Available phosphorus content, measured content (mg / kg) and location exhibition points such as Figure 4 Location distribution (note: the marked data on the figure is the available phosphorus content value);

[0064] Query and download remote sensing images. This example downloads Sentinel-1 with a resolution of 10 meters. The image time is May 29 and June 1...

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Abstract

The invention discloses a system and a method for constructing a soil available phosphorus analysis model based on a satellite image, and aims to solve the problems that time and labor are consumed, the cost is high and accurate and comprehensive fertilization cannot be realized when the soil available phosphorus content is used for guiding fertilization. According to the invention, a Spearman sensitive analysis technology and a GA + BP neural network algorithm are adopted, a soil available phosphorus inversion model is established by applying matlab programming and GUI design, pixel-by-pixel fine analysis technologies are carried out by applying multiple parameters such as sensitive wave bands, sensitive wave band mathematical transformation and field soil sample acquisition data, quantitative analysis is carried out on available phosphorus of soil fertilization, and thus obtaining soil available phosphorus content distribution raster data of the target area before sowing; compared with a traditional method, the remote sensing technology is used for processing satellite image data, the Matlab technology is used for completing model construction, the GIS technology is combined for completing correlation and grid vectorization of reflectivity information and soil sample data and guiding fertilization prescription map making, the production cost can be saved, the production efficiency is improved, and the purpose of farmland protection is achieved.

Description

technical field [0001] The invention relates to a soil available phosphorus analysis model building system and method based on satellite images, and belongs to the technical fields of remote sensing technology and variable fertilization. Background technique [0002] At present, in the detection of available phosphorus in soil, the available phosphorus content of the entire farmland soil is generally measured by on-site soil testing with "points" instead of "surfaces". This method requires a large amount of soil testing data to be collected on site. Also consume a large amount of manpower and material resources, increase production cost, and precision is difficult to guarantee. [0003] In recent years, with the development of space technologies such as satellite remote sensing and UAV remote sensing, digital agricultural technology has been greatly improved, and the application of remote sensing technology to precision agriculture has gradually emerged. In the two papers "...

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Application Information

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IPC IPC(8): G06K9/00G06N3/08
CPCG06N3/084G06N3/086G06V20/13G06V10/94
Inventor 宋振强张朋永高磊王众娇程飞雁曲中华郭凌峰
Owner 哈尔滨航天恒星数据系统科技有限公司
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