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Space sampling scheme optimizing method for crop planting area monitoring

A technology of spatial sampling and optimization method, applied in the field of remote sensing spatial sampling, which can solve the problems of less research on the quantitative evaluation of spatial correlation and heterogeneity of sampling samples.

Active Publication Date: 2014-09-17
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

[0004] At present, the research on crop sampling survey mainly focuses on the scheme design of the combination of remote sensing and sampling, while the influence of various sampling elements on the quantification of sampling efficiency in the process of using spatial sampling technology to estimate crop planting area with remote sensing, especially the sampling There are few studies on the quantitative evaluation of spatial correlation and heterogeneity between samples

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  • Space sampling scheme optimizing method for crop planting area monitoring
  • Space sampling scheme optimizing method for crop planting area monitoring
  • Space sampling scheme optimizing method for crop planting area monitoring

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Embodiment Construction

[0047] The present invention will be further described in conjunction with accompanying drawing:

[0048] In this embodiment, the crop planting area monitoring spatial sampling plan optimization method, in order to comprehensively examine the influence of sampling grid size, sampling rate and sample space distribution on the crop planting area survey, this embodiment constitutes a sampling survey by constructing different grid series Design a stratified sampling plan, and use different sampling rates for repeated sampling, refer to the distribution map of late rice planting in 2012, calculate the late rice area and spatial distribution index in the quadrat, statistically infer the late rice planting area in the province, and calculate Inference error per sample. On this basis, the size and mode of influence of sampling grid size, sample size and sample space distribution on sampling inference error are analyzed. Specifically include the following steps (see the specific proce...

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Abstract

The invention discloses a space sampling scheme optimizing method for crop planting area monitoring. The method includes the following steps that (S1) a research area is selected, and sampling basic data are chosen; (S2) a sampling frame is prepared, and the sampling rate is set; (S3) a space stratified sampling method is determined; (S4) a sampling scheme is designed, wherein the crop planting area percentage is used as a stratified mark, sampling is carried out according to the space stratified sampling method, and accordingly a sampling extrapolation area estimation result of the research area is obtained; (S5) the sample spatial distribution pattern index is calculated; (S6) the influence rule and degree of factors affecting the estimation error of the crop area on the estimation error are analyzed, and the optimal space sampling scheme optimizing method for crop planting area monitoring is determined. By means of the method, the influence factors of space stratified sampling in a crop planting area survey and the influence rule of space stratified sampling on the area estimation error are found out, and thus a basis is provided for optimizing the space sampling scheme in the crop planting area survey.

Description

technical field [0001] The invention relates to the technical field of remote sensing space sampling, in particular to a method for optimizing a space sampling plan for crop planting area monitoring. Background technique [0002] Crop planting area is one of the important factors for yield estimation and national food security. Regional crop planting area estimation is also an important support to meet the national macro-control decision-making information needs and the trade decision-making needs of relevant grain enterprises, especially at present. Affected by factors such as non-agricultural construction occupation and other factors, the amount of cultivated land is decreasing year by year, and it is even more important to obtain accurate, timely and reliable information on crop planting area. [0003] Sampling technology has always played an important role in crop planting area estimation. Even when remote sensing monitoring technology has become the core technology for ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02
Inventor 李强子张焕雪杜鑫刘吉磊王红岩
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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