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Effective sampling method for crop cultivated area measurement under support of historical remote sensing product data

A technology for remote sensing products and areas, used in measuring devices, instruments, etc.

Active Publication Date: 2011-09-07
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is that, aiming at the existing problems in the survey of crop planting area in the existing remote sensing and sampling survey, using the historical remote sensing product data as a layered mark to construct a sampling survey plan suitable for crop planting area measurement, and improving the efficiency of the sampling survey. Efficiency to solve the measurement of crop planting area without remote sensing data

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  • Effective sampling method for crop cultivated area measurement under support of historical remote sensing product data
  • Effective sampling method for crop cultivated area measurement under support of historical remote sensing product data
  • Effective sampling method for crop cultivated area measurement under support of historical remote sensing product data

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[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0042] The research data that the present invention adopts is: Beijing City, it is located in north latitude 39 ° 56 ', east longitude 116 ° 20 ', northwest is adjacent to Shanxi, Inner Mongolia Plateau, south and North China Great Plains join, winter near Bohai Sea; total area is 16800km 2 , of which the mountain area is 10400km 2 , the plain area is 6400km 2 . There are 18 districts and counties in Beijing, among which Tongzhou District, Daxing District, Shunyi District and Fangshan District in the southeast are four important grain-producing areas and the main distribution area of ​​winter wheat. In this experiment, the four main grain producing areas were taken as the experimental area, and winter wheat was the main research object. The data...

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Abstract

The invention relates to an effective sampling method for establishing a sampling frame and designing auxiliary variables to realize crop area measurement under the support of historical remote sensing product data, wherein CACVM (crop acreage coefficient of variance in multi-years) and Mean respectively represent the change rate and average size of the crop cultivated area for multiple years in a sampling unit; and the two indexes are respectively used as the layered marker of the first stage and second stage of a two-stage layered sampling method. The Daxing, Fangshan, Shunyi and Tongzhou counties which have the concentrated cultivated areas of winter wheat in Beijing are used as research regions to be tested, thereby evaluating the effectiveness of the method provided by the invention.

Description

technical field [0001] The invention relates to a high-efficiency sampling method for establishing a sampling frame with historical remote sensing product data and designing stratified sampling auxiliary variables to realize crop planting area measurement. Background technique [0002] Timely and accurate statistics of crop planting area are of great significance to national and regional food production, trade and early warning of food security. Remote sensing information has the advantages of large coverage, short detection period, rich data, strong current situation, and low cost, and has become an important means of measuring crop planting area. However, the method of directly using remote sensing recognition to extract crop planting area is affected by many factors such as classifier, operator experience, sample selection, remote sensing image quality, etc., which makes it difficult to guarantee the regional accuracy of crop planting area extraction, and the classificati...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01B21/28
Inventor 张锦水潘耀忠赵莲何浩胡潭高
Owner BEIJING NORMAL UNIVERSITY
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