CN108446325A - A kind of chlorophyll-a concentration distribution method for visualizing, system and device - Google Patents
A kind of chlorophyll-a concentration distribution method for visualizing, system and device Download PDFInfo
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- CN108446325A CN108446325A CN201810141799.4A CN201810141799A CN108446325A CN 108446325 A CN108446325 A CN 108446325A CN 201810141799 A CN201810141799 A CN 201810141799A CN 108446325 A CN108446325 A CN 108446325A
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- chlorophyll
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
Abstract
The invention discloses a kind of chlorophyll-a concentration distribution method for visualizing, system and device, method includes the reading chlorophyll data from remotely-sensed data, obtains initial matrix, the chlorophyll data include longitude data, latitude data and chlorophyll a value；Chlorophyll data are handled, final matrix is obtained；According to final matrix, the distribution map of chlorophyll-a concentration is drawn by generalized information system.The present invention is by the way that satellite remote sensing to be combined with GIS, the drafting of distribution map can be carried out to the remote sensing chlorophyll-a concentration data in any scale marine site, so that detection can cover the marine site range that ship and buoy etc. cannot reach, effectively compensate for that the measured data period is short, region is small and costly defect, sea fishery Research approach is widened, promote the development of Marine Sciences, the monitoring of fisheries water habitat, resource investigation and quality evaluation are can be widely applied to, marine ecosystem environment and monitoring resource assessment are applied also for.
Description
Technical field
The present invention relates to chlorophyll analysis technical field more particularly to a kind of chlorophyll-a concentration distribution method for visualizing, it is
System and device.
Background technology
Fisheries water chlorophyll-a concentration reflects the basic Ecological information in marine site, with temperature, salinity, illumination, transparency and
The Marine Environmental Elements such as primary productivity are closely related, and the ecological functions to evaluating fisheries water have great importance.Now
Generally be detected using ship or buoy, but the marine site range detected is smaller, has certain limitation, and expend compared with
It is high.
Invention content
In order to solve the above-mentioned technical problem, the object of the present invention is to provide a kind of chlorophyll a that can expand detection range is dense
Degree distribution method for visualizing, system and device.
The technical solution used in the present invention is：
A kind of chlorophyll-a concentration distribution method for visualizing, includes the following steps：
Chlorophyll data are read from remotely-sensed data, obtain initial matrix, the chlorophyll data include longitude data, latitude
Degrees of data and chlorophyll a value；
Chlorophyll data are handled, final matrix is obtained；
According to final matrix, the distribution map of chlorophyll-a concentration is drawn by generalized information system.
It is distributed being further improved for method for visualizing as a kind of chlorophyll-a concentration, it is described from remotely-sensed data
Middle reading chlorophyll data, obtain initial matrix, the step for specifically include：
Longitude data and latitude data are read from remotely-sensed data；
Chlorophyll a value is read from remotely-sensed data, and is formed to obtain initial matrix according to chlorophyll a value.
It is distributed being further improved for method for visualizing as a kind of chlorophyll-a concentration, it is described to chlorophyll number
According to being handled, obtain final matrix, the step for specifically include：
It is reset by reshape function pair initial matrixs, obtains resetting matrix；
Longitude data and latitude data are accordingly added with chlorophyll a value by reshape functions and repmat functions
It into resetting matrix, and is arranged according to longitude data and latitude data, obtains final matrix.
Another technical solution of the present invention is：
A kind of chlorophyll-a concentration distribution visualization system, including：
Data-reading unit obtains initial matrix, the chlorophyll number for reading chlorophyll data from remotely-sensed data
According to including longitude data, latitude data and chlorophyll a value；
Data processing unit obtains final matrix for handling chlorophyll data；
Drawing unit, for according to final matrix, being drawn to the distribution map of chlorophyll-a concentration by generalized information system.
It is distributed being further improved for visualization system, the digital independent list as a kind of chlorophyll-a concentration
Member specifically includes：
Longitude and latitude reading unit, for reading longitude data and latitude data from remotely-sensed data；
Chlorophyll a reading unit for reading chlorophyll a value from remotely-sensed data, and forms to obtain according to chlorophyll a value
Initial matrix.
It is distributed being further improved for visualization system, the data processing list as a kind of chlorophyll-a concentration
Member specifically includes：
Reset cell is reset for passing through reshape function pair initial matrixs, obtains resetting matrix；
Data adding device, for passing through reshape functions and repmat functions by longitude data and latitude data and leaf
Green element a values are accordingly added in resetting matrix, and are arranged according to longitude data and latitude data, and final matrix is obtained.
Another technical solution of the present invention is：
A kind of chlorophyll-a concentration distribution visualization device, including：
Memory, for storing program；
Processor, for executing described program, described program makes the processor execute the chlorophyll-a concentration point
Cloth method for visualizing.
The beneficial effects of the invention are as follows：
A kind of chlorophyll-a concentration distribution method for visualizing of the present invention, system and device are by tying satellite remote sensing and GIS phases
It closes, the drafting of distribution map can be carried out to the remote sensing chlorophyll-a concentration data in any scale marine site so that detection can cover ship
The marine site range that oceangoing ship and buoy etc. cannot reach, effectively compensates for that the measured data period is short, region is small and costly defect, opens up
Wide sea fishery Research approach, promotes the development of Marine Sciences, can be widely applied to the monitoring of fisheries water habitat, resource tune
It looks into and quality evaluation, applies also for marine ecosystem environment and monitoring resource assessment.
Description of the drawings
Fig. 1 is a kind of step flow chart of chlorophyll-a concentration distribution method for visualizing of the present invention；
Fig. 2 is a kind of block diagram of chlorophyll-a concentration distribution visualization system of the present invention.
Specific implementation mode
The specific implementation mode of the present invention is described further below in conjunction with the accompanying drawings：
With reference to figure 1, a kind of chlorophyll-a concentration of the present invention is distributed method for visualizing, includes the following steps：
Chlorophyll data are read from remotely-sensed data, obtain initial matrix, the chlorophyll data include longitude data, latitude
Degrees of data and chlorophyll a value；
Chlorophyll data are handled, final matrix is obtained；
According to final matrix, the distribution map of chlorophyll-a concentration is drawn by generalized information system.
It is further used as preferred embodiment, it is described that chlorophyll data are read from remotely-sensed data, obtain initial square
Battle array, the step for specifically include：
Longitude data and latitude data are read from remotely-sensed data；
Chlorophyll a value is read from remotely-sensed data, and is formed to obtain initial matrix according to chlorophyll a value.
It is further used as preferred embodiment, it is described that chlorophyll data are handled, final matrix is obtained, this
Step specifically includes：
It is reset by reshape function pair initial matrixs, obtains resetting matrix；
Longitude data and latitude data are accordingly added with chlorophyll a value by reshape functions and repmat functions
It into resetting matrix, and is arranged according to longitude data and latitude data, obtains final matrix.
In the embodiment of the present invention, Data Analysis Services are carried out using MATLAB, the remotely-sensed data is preserved using nc files,
The seas nc file MODIS-Aqua table chlorophyll a value was read by MATLAB before this, the chlorophyll a value form of expression is m*n's
Line-column matrix obtains initial matrix.The initial matrix of chlorophyll a value m*n carries out weight by reshape function pairs initial matrix
Set, be converted to the resetting matrix of (m*n) * 1 ranks, then by reshape functions and repmat functions by longitude data and
Latitude data is accordingly added to chlorophyll a value in resetting matrix, and is arranged according to longitude data and latitude data, is obtained
To final matrix.
The code of specific implementation is as follows：
ncdisp('D:\daya\oc.nc')；%% reads nc files.
Lon=ncread (' D:\daya\oc.nc','lon')；%% reads longitude data.
Lat=ncread (' D:\daya\oc.nc','lat')；%% reads latitude data.
Chlamean=ncread (' D:\daya\oc.nc','chlor_a_mean')；%% reads chlorophyll a value.
Repeat=x；%% numerical value numbers of repetition.
Lontitude=reshape (lon, 1, m)；%% longitude transposition are 1 row m row.
Tmp=repmat (lontitude, repeat, 1)；The number that each numerical value of %% longitudes repeats.
LON=reshape (tmp, length (lontitude) * repeat, 1)；%% longitude m*n rows 1 arrange.
LAT=repmat (lat, repeat, 1)；%% latitude m*n rows 1 arrange.
The Spatial in Arc Toolbox in generalized information system can be passed through in the embodiment of the present invention
AnalystTools----Interpolation----Kriging methods draw the distribution map of chlorophyll-a concentration.It can also lead to
Filter function Filter in generalized information system, Spatial Analyst Tools----Neighborhood------filter are crossed,
So that after raster data is smooth, the distribution map of chlorophyll-a concentration is drawn.
With reference to figure 2, a kind of chlorophyll-a concentration of the present invention is distributed visualization system, including：
Data-reading unit obtains initial matrix, the chlorophyll number for reading chlorophyll data from remotely-sensed data
According to including longitude data, latitude data and chlorophyll a value；
Data processing unit obtains final matrix for handling chlorophyll data；
Drawing unit, for according to final matrix, being drawn to the distribution map of chlorophyll-a concentration by generalized information system.
It is further used as preferred embodiment, the data-reading unit specifically includes：
Longitude and latitude reading unit, for reading longitude data and latitude data from remotely-sensed data；
Chlorophyll a reading unit for reading chlorophyll a value from remotely-sensed data, and forms to obtain according to chlorophyll a value
Initial matrix.
It is further used as preferred embodiment, the data processing unit specifically includes：
Reset cell is reset for passing through reshape function pair initial matrixs, obtains resetting matrix；
Data adding device, for passing through reshape functions and repmat functions by longitude data and latitude data and leaf
Green element a values are accordingly added in resetting matrix, and are arranged according to longitude data and latitude data, and final matrix is obtained.
A kind of chlorophyll-a concentration of the present invention is distributed visualization device, including：
Memory, for storing program；
Processor, for executing described program, described program makes the processor execute the chlorophyll-a concentration point
Cloth method for visualizing.
From the foregoing it can be that a kind of chlorophyll-a concentration distribution method for visualizing of the present invention, system and device will be by that will defend
Star remote sensing is combined with GIS, and the drafting of distribution map can be carried out to the remote sensing chlorophyll-a concentration data in any scale marine site, is made
Must detect can cover the marine site range that ship and buoy etc. cannot reach, and effectively compensate for that the measured data period is short, region is small
With costly defect, sea fishery Research approach has been widened, has promoted the development of Marine Sciences, can be widely applied to fishery water
The monitoring of domain habitat, resource investigation and quality evaluation apply also for marine ecosystem environment and monitoring resource assessment.
It is to be illustrated to the preferable implementation of the present invention, but the invention is not limited to the implementation above
Example, those skilled in the art can also make various equivalent variations or be replaced under the premise of without prejudice to spirit of that invention
It changes, these equivalent deformations or replacement are all contained in the application claim limited range.
Claims (7)
1. a kind of chlorophyll-a concentration is distributed method for visualizing, which is characterized in that include the following steps：
Chlorophyll data are read from remotely-sensed data, obtain initial matrix, the chlorophyll data include longitude data, latitude number
According to chlorophyll a value；
Chlorophyll data are handled, final matrix is obtained；
According to final matrix, the distribution map of chlorophyll-a concentration is drawn by generalized information system.
2. a kind of chlorophyll-a concentration according to claim 1 is distributed method for visualizing, it is characterised in that：It is described from distant
Feel and read chlorophyll data in data, obtain initial matrix, the step for specifically include：
Longitude data and latitude data are read from remotely-sensed data；
Chlorophyll a value is read from remotely-sensed data, and is formed to obtain initial matrix according to chlorophyll a value.
3. a kind of chlorophyll-a concentration according to claim 1 is distributed method for visualizing, it is characterised in that：It is described to leaf
Green prime number obtains final matrix according to being handled, the step for specifically include：
It is reset by reshape function pair initial matrixs, obtains resetting matrix；
Longitude data and latitude data are accordingly added to weight with chlorophyll a value by reshape functions and repmat functions
It sets in matrix, and is arranged according to longitude data and latitude data, obtain final matrix.
4. a kind of chlorophyll-a concentration is distributed visualization system, which is characterized in that including：
Data-reading unit obtains initial matrix, the chlorophyll data packet for reading chlorophyll data from remotely-sensed data
Include longitude data, latitude data and chlorophyll a value；
Data processing unit obtains final matrix for handling chlorophyll data；
Drawing unit, for according to final matrix, being drawn to the distribution map of chlorophyll-a concentration by generalized information system.
5. a kind of chlorophyll-a concentration according to claim 4 is distributed visualization system, it is characterised in that：The data
Reading unit specifically includes：
Longitude and latitude reading unit, for reading longitude data and latitude data from remotely-sensed data；
Chlorophyll a reading unit forms to obtain initially for reading chlorophyll a value from remotely-sensed data, and according to chlorophyll a value
Matrix.
6. a kind of chlorophyll-a concentration according to claim 4 is distributed visualization system, it is characterised in that：The data
Processing unit specifically includes：
Reset cell is reset for passing through reshape function pair initial matrixs, obtains resetting matrix；
Data adding device, for passing through reshape functions and repmat functions by longitude data and latitude data and chlorophyll a
Value is accordingly added in resetting matrix, and is arranged according to longitude data and latitude data, and final matrix is obtained.
7. a kind of chlorophyll-a concentration is distributed visualization device, which is characterized in that including：
Memory, for storing program；
Processor, for executing described program, described program makes the processor execute such as any one of claims 1 to 3 institute
The chlorophyll-a concentration distribution method for visualizing stated.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109815962A (en) * | 2019-01-17 | 2019-05-28 | 南京信息工程大学 | A method of the green plain cyclic structure of identification ocean eddy marginal convolution |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103063202A (en) * | 2012-12-30 | 2013-04-24 | 同济大学 | Cyanobacteria biomass spatial-temporal change monitoring and visualization method based on remote sensing image |
| CN105138994A (en) * | 2015-08-31 | 2015-12-09 | 中国科学院遥感与数字地球研究所 | Water bloom identification method and device based on hyperspectral remote sensing image |
-
2018
- 2018-02-11 CN CN201810141799.4A patent/CN108446325A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103063202A (en) * | 2012-12-30 | 2013-04-24 | 同济大学 | Cyanobacteria biomass spatial-temporal change monitoring and visualization method based on remote sensing image |
| CN105138994A (en) * | 2015-08-31 | 2015-12-09 | 中国科学院遥感与数字地球研究所 | Water bloom identification method and device based on hyperspectral remote sensing image |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109815962A (en) * | 2019-01-17 | 2019-05-28 | 南京信息工程大学 | A method of the green plain cyclic structure of identification ocean eddy marginal convolution |
| CN109815962B (en) * | 2019-01-17 | 2022-12-23 | 南京信息工程大学 | Method for identifying chlorophyll ring structure at ocean vortex edge |
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Application publication date: 20180824 |