CN109493247A - The method that confirmation field crop rotation is lain fallow - Google Patents
The method that confirmation field crop rotation is lain fallow Download PDFInfo
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- CN109493247A CN109493247A CN201710810205.XA CN201710810205A CN109493247A CN 109493247 A CN109493247 A CN 109493247A CN 201710810205 A CN201710810205 A CN 201710810205A CN 109493247 A CN109493247 A CN 109493247A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/188—Vegetation
Abstract
The invention discloses a kind of methods that confirmation field crop rotation is lain fallow, and its step are as follows: obtaining soil basic document；Obtain the remote sensing image of high time resolution, high spatial resolution；Imaging material to acquisition and remote sensing source data such as carry out image rectification, are registrated, inlay at the processing；The parameters such as crop NDVI, LAI are extracted from result；The Optimum temoral that threshold value determines Different Crop is divided in conjunction with indication range value；In conjunction with the type of more season crops, the selection of crop rotation, mode of lying fallow is determined；Achieve the purpose that guarantee Data Detection precision, improve efficiency and guarantee accurately obtaining for field tillage system reform.
Description
Technical field
The present invention relates to farming fields, and in particular to a kind of confirmation field based on high-spatial and temporal resolution remote sensing recognition technology
The method that crop rotation is lain fallow.
Background technique
In the prior art, satellite remote sensing technology is generallyd use for the direction of field farming carry out what crop rotation was lain fallow
Research, but remote sensing image is affected using degree climate in such mode, especially rainwater more area, cloud
Seriously polluted, the cloudless more difficult acquisition of image causes effective image data of crop critical period to lack, to the crop of respective stage
Interpretation brings inconvenience with identification, reduces the precision of monitoring.
Summary of the invention
In order to solve the above technical problems, the invention proposes the methods that confirmation field crop rotation is lain fallow, to reach guarantee data
Detection accuracy, the purpose accurately obtained for improving efficiency and guaranteeing field tillage system reform.
In order to achieve the above objectives, technical scheme is as follows:
A method of confirmation field crop rotation is lain fallow, and its step are as follows:
(1) obtains soil basic document；
(2) obtains the remote sensing image of high time resolution, high spatial resolution；
(3) imaging material and remote sensing source data that obtains step (2) such as carry out image rectification, are registrated, inlay at the processing；
(4) extracts the parameters such as crop NDVI, LAI according to the result that step (3) is handled；
(5) combination indication range value divides threshold value, and the Optimum temoral of Different Crop is determined according to the parameter extracted in step (4)；
(6) phase in step (5) determines the selection of crop rotation, mode of lying fallow in conjunction with the type of more season crops.
The present invention passes through resolution remote sense image jump and high spatial resolution remote sense image between comprehensive low-to-medium altitude
Wave spectrum advantage solves the problems, such as that cloud pollutes caused crop and differentiates hardly possible, and the signature analysis in crop key phenological period lies fallow to crop rotation
Single cropping crop in period is separately monitored, and is identified single cropping crop species, and utilize timing spectral information, is passed through periodical prison
It surveys, determines crop rotation and situation of lying fallow in the production cycle, and be measured to respective area, reach and guarantee Data Detection precision, mention
High efficiency and the purpose accurately obtained for guaranteeing field tillage system reform.
Preferably, the Remote Sensing Image Segmentation is to have cloud sector and two parts of cloud-free area, cloud-free area crop point is obtained
Class is as a result, and extract the image feature based on pixel；Using cloud-free area Crops Classification result as training sample data, acquisition has cloud
Area's Crops Classification result；Comprehensive cloud-free area has cloud sector Crops Classification as a result, obtaining research area's Crop spatial distribution map.
Preferably, according to resolution remote sense image jump and high spatial resolution between low-to-medium altitude in step (3)
Remote sensing image wave spectrum advantage combines to handle data.
The present invention has the advantage that
1. the present invention passes through resolution remote sense image jump and high spatial resolution remote sense image wave between comprehensive low-to-medium altitude
Spectrum advantage solves the problems, such as that cloud pollutes caused crop and differentiates hardly possible, and the signature analysis in crop key phenological period lies fallow week to crop rotation
Single cropping crop in phase is separately monitored, and is identified single cropping crop species, and utilize timing spectral information, is passed through periodical prison
It surveys, determines crop rotation and situation of lying fallow in the production cycle, and be measured to respective area, reach and guarantee Data Detection precision, mention
High efficiency and the purpose accurately obtained for guaranteeing field tillage system reform.
Specific embodiment
The following is a clear and complete description of the technical scheme in the embodiments of the invention.
The present invention provides the methods that confirmation field crop rotation is lain fallow, its working principle is that passing through resolution ratio between comprehensive low-to-medium altitude
Remote sensing image jump and high spatial resolution remote sense image wave spectrum advantage solve crop caused by cloud pollutes and differentiate hardly possible
The signature analysis of problem, crop key phenological period is separately monitored the crop rotation single cropping crop in the period of lying fallow, and identifies single cropping
Crop species, and timing spectral information is utilized, by periodical monitoring, determine crop rotation and situation of lying fallow in the production cycle, and right
Respective area is measured, and is reached and is guaranteed Data Detection precision, improves efficiency and guarantee accurately obtaining for field tillage system reform
Purpose.
Below with reference to embodiment and specific embodiment, the present invention is described in further detail.
A method of confirmation field crop rotation is lain fallow, and its step are as follows:
(1) obtains soil basic document；
(2) obtains the remote sensing image of high time resolution, high spatial resolution；
(3) imaging material and remote sensing source data that obtains step (2) such as carry out image rectification, are registrated, inlay at the processing；
(4) extracts the parameters such as crop NDVI, LAI according to the result that step (3) is handled；
(5) combination indication range value divides threshold value, and the Optimum temoral of Different Crop is determined according to the parameter extracted in step (4)；
(6) phase in step (5) determines the selection of crop rotation, mode of lying fallow in conjunction with the type of more season crops.
The present invention passes through resolution remote sense image jump and high spatial resolution remote sense image between comprehensive low-to-medium altitude
Wave spectrum advantage solves the problems, such as that cloud pollutes caused crop and differentiates hardly possible, and the signature analysis in crop key phenological period lies fallow to crop rotation
Single cropping crop in period is separately monitored, and is identified single cropping crop species, and utilize timing spectral information, is passed through periodical prison
It surveys, determines crop rotation and situation of lying fallow in the production cycle, and be measured to respective area, reach and guarantee Data Detection precision, mention
High efficiency and the purpose accurately obtained for guaranteeing field tillage system reform.
It is worth noting that, the Remote Sensing Image Segmentation is to have cloud sector and two parts of cloud-free area, cloud-free area crop is obtained
Classification results, and extract the image feature based on pixel；Using cloud-free area Crops Classification result as training sample data, had
Cloud sector Crops Classification result；Comprehensive cloud-free area has cloud sector Crops Classification as a result, obtaining research area's Crop spatial distribution map.
It is worth noting that, according to resolution remote sense image jump and high-space resolution between low-to-medium altitude in step (3)
Rate remote sensing image wave spectrum advantage combines to handle data.
By above mode, the method that confirmation field crop rotation provided by the present invention is lain fallow, by between comprehensive low-to-medium altitude
Resolution remote sense image jump and high spatial resolution remote sense image wave spectrum advantage solve crop caused by cloud pollutes and sentence
Not difficult problem, the signature analysis in crop key phenological period are separately monitored the crop rotation single cropping crop in the period of lying fallow, know
Other single cropping crop species, and timing spectral information is utilized, by periodical monitoring, determine crop rotation and feelings of lying fallow in the production cycle
Condition, and respective area is measured, reach and guarantees Data Detection precision, improves efficiency and guarantee the accurate of field tillage system reform
The purpose of acquisition.
Above-described is only the preferred embodiment for the method that confirmation field crop rotation disclosed in this invention is lain fallow, should
It points out, for those of ordinary skill in the art, without departing from the concept of the premise of the invention, if can also make
Dry modification and improvement, these are all within the scope of protection of the present invention.
Claims (3)
1. a kind of method that confirmation field crop rotation is lain fallow, which is characterized in that its step are as follows:
(1) obtains soil basic document；
(2) obtains the remote sensing image of high time resolution, high spatial resolution；
(3) imaging material and remote sensing source data that obtains step (2) such as carry out image rectification, are registrated, inlay at the processing；
(4) extracts the parameters such as crop NDVI, LAI according to the result that step (3) is handled；
(5) combination indication range value divides threshold value, and the Optimum temoral of Different Crop is determined according to the parameter extracted in step (4)；
(6) phase in step (5) determines the selection of crop rotation, mode of lying fallow in conjunction with the type of more season crops.
2. the method lain fallow of confirmation field crop rotation according to claim 1, which is characterized in that the Remote Sensing Image Segmentation is
There are cloud sector and two parts of cloud-free area, obtains cloud-free area Crops Classification as a result, and extracting the image feature based on pixel；It will be cloudless
Area's Crops Classification result has cloud sector Crops Classification result as training sample data, acquisition；Comprehensive cloud-free area has cloud sector crop point
Class is as a result, obtain research area's Crop spatial distribution map.
3. the method that confirmation field crop rotation according to claim 1 is lain fallow, which is characterized in that low in step (3)
Spatial resolution remote sensing image jump and high spatial resolution remote sense image wave spectrum advantage combine come to data
Reason.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110909679A (en) * | 2019-11-22 | 2020-03-24 | 中国气象科学研究院 | Remote sensing identification method and system for fallow crop rotation information of winter wheat historical planting area |
| CN111007013A (en) * | 2019-11-01 | 2020-04-14 | 中科禾信遥感科技（苏州）有限公司 | Crop rotation fallow remote sensing monitoring method and device for northeast cold region |
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| CN104615977A (en) * | 2015-01-26 | 2015-05-13 | 河南大学 | Winter wheat remote sensing recognition method capable of synthesizing key seasonal aspect characters and fuzzy classification technology |
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| CN1794282A (en) * | 2005-12-29 | 2006-06-28 | 江苏省农业科学院 | Remote sensing estimation method of optimized crop rotation cycle |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111007013A (en) * | 2019-11-01 | 2020-04-14 | 中科禾信遥感科技（苏州）有限公司 | Crop rotation fallow remote sensing monitoring method and device for northeast cold region |
| CN111007013B (en) * | 2019-11-01 | 2022-10-14 | 中科禾信遥感科技（苏州）有限公司 | Crop rotation fallow remote sensing monitoring method and device for northeast cold region |
| CN110909679A (en) * | 2019-11-22 | 2020-03-24 | 中国气象科学研究院 | Remote sensing identification method and system for fallow crop rotation information of winter wheat historical planting area |
| CN110909679B (en) * | 2019-11-22 | 2020-09-18 | 中国气象科学研究院 | Remote sensing identification method and system for fallow crop rotation information of winter wheat historical planting area |
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Application publication date: 20190319 |