Method for rapidly extracting crop planting area and phenological information in large range

A crop and large-scale technology, applied in the field of agricultural remote sensing, can solve problems such as large amount of calculation, achieve high repeatability and ensure reliability

Active Publication Date: 2019-08-27
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

This method overcomes the disadvantages of the existing extraction methods that are only applicable to small scales and requires a large amount of calculation. The results ex

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  • Method for rapidly extracting crop planting area and phenological information in large range
  • Method for rapidly extracting crop planting area and phenological information in large range
  • Method for rapidly extracting crop planting area and phenological information in large range

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Embodiment Construction

[0050] In order to clearly illustrate the solutions of the present invention, preferred embodiments are given below and detailed descriptions are given in conjunction with the accompanying drawings. The following description is merely exemplary in nature and is not intended to limit the application or use of the present disclosure

[0051] figure 1 It is a schematic flowchart of a method for quickly extracting crop planting area and phenological information in a large area based on low spatial resolution remote sensing products according to an embodiment of the present invention. refer to figure 1 , below in conjunction with specific embodiment, will further set forth the inventive method:

[0052] Taking the whole of China as the research area, the research objects are spring wheat, winter wheat, spring corn, summer corn, one-crop rice, early rice and late rice, and the research time is from 2000 to 2015. Process the 1km×1km GLASS LAI remote sensing products into LAI time ...

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Abstract

The invention discloses a method for rapidly extracting the crop planting area and the phenological information in a large range. The method comprises the following steps of S1, selecting the cultivated land sample lattice points, and extracting the LAI time sequence data of each sample lattice point based on a low spatial resolution remote sensing product; S2, carrying out filtering processing onthe LAI time sequence data of the sample lattice points to obtain a filtered LAI characteristic curve; S3, extracting the key phenological periods of the sample lattice points; S4, calculating the root mean square errors (RMSE) of the key phenological periods of the sample grid points extracted by crops in the research area under different filtering methods and the phenological observation valuesof the corresponding agricultural gas stations, and determining an optimal filtering method according to an RMSE minimum principle; and S5, filtering the LAI time sequence data of each cultivated land lattice point in the research area according to the optimal filtering method, extracting the key phenological period of each crop in the whole growth season by utilizing the method in the step S3, and identifying the corresponding planting range and area of each crop according to the key phenological period.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, in particular to a method for rapidly extracting crop planting area and phenological information in a large area. Background technique [0002] Crop planting range, planting area and key phenological periods are the most basic and important agricultural information in the actual agricultural production status. The phenological period is a key indicator reflecting the growth and development stages of crops, and knowing the planting distribution of crops is also a necessary condition for large-scale agricultural monitoring. Currently available crop phenology data mainly come from the records of agricultural meteorological stations or experimental stations. These data are authoritative and authentic, but the number of stations nationwide is very limited. At the same time, the operation and maintenance costs of agricultural meteorological stations are high and cannot Comprehensiv...

Claims

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Application Information

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IPC IPC(8): G06Q50/02
CPCG06Q50/02
Inventor 张朝骆玉川陶福禄陈一李子悦
Owner BEIJING NORMAL UNIVERSITY
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