CN106324617A - Satellite remote sensing monitoring method for content of jujube tree canopy carotenoid - Google Patents
Satellite remote sensing monitoring method for content of jujube tree canopy carotenoid Download PDFInfo
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- CN106324617A CN106324617A CN201610927846.9A CN201610927846A CN106324617A CN 106324617 A CN106324617 A CN 106324617A CN 201610927846 A CN201610927846 A CN 201610927846A CN 106324617 A CN106324617 A CN 106324617A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/89—Lidar systems specially adapted for specific applications for mapping or imaging
Abstract
The invention provides a satellite remote sensing monitoring method for the content of jujube tree canopy carotenoid. The method comprises the following steps of determining a region to be monitored; downloading a satellite remote sensing image of the region to be monitored; sequentially performing geometric precise correction, radiation correction and atmospheric correction on the downloaded satellite remote sensing image; cutting the satellite remote sensing image obtained after atmospheric correction and obtaining an image of the monitored region; calculating the monitored region through ENVI5.1 software for selecting seven vegetation indexes of pixels; substituting the seven vegetation indexes into a model through wave band calculation, and working out the content of the jujube tree canopy carotenoid of each pixel, wherein Y is the content of the jujube tree canopy carotenoid, and the unit is mg/g. According to the method, the content data of the jujube tree canopy carotenoid is rapidly and accurately obtained in the regional scale in an economical and environment-friendly mode, environmental pollution and human injuries caused by chemical tail liquid discharge in the determination process are avoided, the operation steps are greatly simplified, and the monitoring time is shortened.
Description
Technical field
The invention belongs to Satellite Remote Sensing technical field, be specifically related to defending of a kind of jujube tree canopy carotenoid content
Star remote-sensing monitoring method.
Background technology
Carotenoid is the second largest class primary pigments in plant pigment, is red, orange or the tetraterpenes thing of yellow
Matter, it is made up of carotene and phylloxanthin；Carotenoid can absorb solar radiant energy equally, and contributes energy to light cooperation
With, it is the component of antenna beam and reaction center pigment complex, when radiation can exceed that photosynthesis is taken, and carotenoids
Element component Zeaxanthin cycle can dissipate excess energy, thus protects reaction center.Rely on dissipating the heat in of Zeaxanthin cycle high
Being the energy dissipation mechanism of a kind of key in plant, phylloxanthin and the photosynthetic efficiency of light energy utilization are closely related, therefore,
It is provided that more side information about vegetation physiological status from carotenoid concentration.
In jujube tree plantation cultivating process, carotenoid is a kind of very important biochemical parameters, quick obtaining class
Carotene carotene content information is monitoring growth and development of jujube trees and the premise of quality guarantee.
Conventional art measures plant leaf blade carotenoid concentration needs high performance liquid chromatography, and this had both expended the time.People
Power, causes again damage to plant, and costly, outside neck, in transport from field to laboratory and sample preparation procedure very
Possible loss Carotenoid in Plants, thus cause plant pigment content to change, therefore, the destruction that conventional art is had
Property character and many deficiencies, limit monitoring Carotenoid in Plants time dynamic ability.
And satellite remote sensing can quickly, economy, environmental protection, lossless monitor large-area (County Scale and above or 10,000 mu and
The carotenoid content of jujube tree canopy above).But at present about utilizing satellite remote sensing date to be applied to jujube tree canopy carotenoids
The research of cellulose content is the fewest, especially lacks corresponding jujube tree carotenoid content inverse model.
Summary of the invention
In order to solve problems of the prior art, the invention provides a kind of jujube tree canopy carotenoid content
Satellite remote-sensing monitoring method, comprises the steps:
S1: determine region to be monitored；
S2: download the satellite remote-sensing image in region to be monitored；
S3: the satellite remote-sensing image downloaded is carried out geometric accurate correction；
S4: the satellite remote-sensing image after geometric accurate correction is carried out radiant correction；
S5: the satellite remote-sensing image after radiant correction is carried out atmospheric correction；
S6: the satellite remote-sensing image after atmospheric correction is carried out cutting, obtains monitored area image；
S7: calculate the NR of each pixel in monitored area image, MSAVI2, GSAVI, GOSAVI, GMSAVI2, GDVI,
DVI totally 7 vegetation indexs；
S8: by 7 the vegetation index NRs corresponding with each pixel, MSAVI2, GSAVI, GOSAVI, GMSAVI2, GDVI,
DVI substitutes into the model of jujube tree canopy carotenoid content by the band math function of ENVI5.1 software,
Y=0.3209648NR-0.06380936MSAVI2-0.07388984GSAVI-0.1325935 GOSAVI-
0.05366499GMSAVI2-0.02665145GDVI-0.03155722DVI+0.21882, calculates corresponding picture in monitored area
The jujube tree canopy carotenoid content of unit；
Wherein, Y is the carotenoid content of jujube tree canopy, and unit is mg/g.
Preferably, in S2, described satellite remote-sensing image derives from Landsat 8 satellite, described Landsat 8 satellite spatial
Resolution is 30 meters.
It is highly preferred that in S7, the computing formula of described NR is: NR=R/ (NIR+R+G)；The computing formula of described MSAVI2
For: MSAVI2=0.5* [2* (NIR+1)-SQRT ((2*NIR+1)2-8*(NIR-R))]；The computing formula of described GSAVI is:
GSAVI=1.5* [(NIR-G)/(NIR+G+0.5)]；The computing formula of described GOSAVI is: GOSAVI=(NIR-G)/(NIR+
G+0.16)；The computing formula of described GMSAVI2 is: GMSAVI2=0.5* [2* (NIR+1)-SQRT ((2*NIR+1)2-8*
(NIR-G))]；The computing formula of described GDVI is: GDVI=NIR G；The computing formula of described DVI is: DVI=NIR R；
Wherein, G represents the reflectance of the TM3 wave band after Landsat 8 satellite remote-sensing image atmospheric correction, and its wave band is interval
For 0.525-0.600 μm；R represents the reflectance of the TM4 wave band after Landsat 8 satellite remote-sensing image atmospheric correction, its wave band
Interval is 0.630-0.680 μm；NIR represents the reflectance of the TM5 wave band after Landsat 8 satellite remote-sensing image atmospheric correction,
Its wave band interval is 0.845-0.885 μm.
Preferably, in S3-S5, described geometric accurate correction, described radiant correction, described atmospheric correction are all at software
ENVI5.1 completes.
It is highly preferred that described atmospheric correction uses FLAASHAtmospheric Correction method.
The satellite remote-sensing monitoring method of the jujube tree canopy carotenoid content that the present invention provides, it is achieved that region to be monitored
Quickly, accurately, economy, the acquisition jujube tree canopy carotenoid content data of environmental protection, survey compared to traditional indoor chemical analysis
From the point of view of determining method, this invention need not prepare any chemical reagent, it is to avoid during measuring, chemistry tail liquid emissions is to environment
Pollution and the injury to human body, also greatly simplify operating procedure simultaneously, shorten the monitoring time, and relative to spectroscopic assay side
From the point of view of method, the advantage of this invention is more rapid, more laborsaving, more economical when large area Fructus Jujubae garden carotenoid content is monitored.This
The bright Fructus Jujubae garden that can meet regional scale in agricultural production can obtain the demand of jujube tree canopy carotenoid data at short notice,
There is provided foundation for jujube tree field management, be suitable for being applied to regional scale (County Scale and above or 10,000 mu and more than)
Jujube tree canopy carotenoid content is monitored.
Accompanying drawing explanation
Fig. 1 is the jujube tree canopy carotenoid content measured value provided in the embodiment of the present invention and Satellite Remote Sensing value
Scatterplot (n=30).
Detailed description of the invention
In order to make those skilled in the art be more fully understood that, technical scheme can be practiced, below in conjunction with specifically
The invention will be further described for embodiment, but illustrated embodiment is not as a limitation of the invention.
The satellite remote-sensing monitoring method of a kind of jujube tree canopy carotenoid content, specifically includes following steps:
The inquiry Landsat8 satellite transit time in this region to be monitored, the resolution of this Landsat8 satellite is 30
Rice, if fine cloudless when satellite passes by, downloads the Landsat8 satellite remote sensing image on this region to be monitored same day.This
The time that is embodied as of embodiment is on August 9th, 2016, and region to be monitored is the Bashan Mountain company in 11 regions of Xinjiang one teacher
Fructus Jujubae base, the same day sky ceiling unlimited.The present embodiment acquires the sample of 60 jujube tree canopies altogether, and wherein 30 samples are used for
Build the inverse model of jujube tree canopy carotenoid content, other 30 inversion accuracies for testing model.
After downloading the satellite remote-sensing image of this monitored area, satellite remote-sensing image is carried out geometric accurate correction, then to several
Satellite remote-sensing image after what fine correction carries out radiant correction, then the satellite remote-sensing image after radiant correction is carried out air school
Just, finally the satellite remote-sensing image after atmospheric correction is carried out cutting, cut out monitored area image.Above-mentioned geometric accurate correction,
Radiant correction, atmospheric correction are carried out successively, and complete in software ENVI5.1.
In the image of monitored area, with relative to actual ground area as 30m*30m and sideline be oriented due south Zheng Bei
Or positive west, due east to square as a pixel, randomly select multiple pixel as corresponding multiple samplings to be monitored
Unit, and centered by the diagonal cross point of the sampling unit chosen, record the geographic coordinate information at this center, it is somebody's turn to do to represent
The positional information of sampling unit, uses 5 method samplings, between the central point of adjacent two sampling units in described sampling unit
Distance not less than 50 meters, this example gathers the information of 60 sampling units altogether.Landsat 8 satellite monitoring district after cutting
The Extraction function utilizing ArcGis software on the image of territory extracts the TM3 wave band of jujube tree canopy of each sampling unit, TM4
Wave band, the reflectance of TM5 wave band.Then each sampling is calculated by TM3 wave band, TM4 wave band, the reflectivity data of TM5 wave band
The NG of jujube tree canopy of unit, NR, NNIR, RVI, GRVI, DVI, GDVI, NDVI, GNDVI, SAVI, GSAVI, OSAVI,
GOSAVI, MSAVI2, GMSAVI2, RDVI, GRDVI totally 17 vegetation indexs.
Meanwhile, gather corresponding sample unit blade, be specially with above-mentioned same sampling unit in use 5 methods take
Sample, is then mixed into a sample, need to gather the blade at position, jujube tree canopy upper, middle and lower, the sample being collected during sampling uniformly
Take back laboratory post-drying and grind to form pulverized specimen, carry out chemical analysis and measure its carotene carotene content.
Concrete, the specific formula for calculation of above-mentioned each vegetation index is: NG=G/ (NIR+R+G)；NR=R/ (NIR+R+
G)；NNIR=NIR/ (NIR+R+G)；RVI=NIR/R；GRVI=NIR/G；DVI=NIR R；GDVI=NIR-G；NDVI=
(NIR-R)/(NIR+R)；GNDVI=(NIR-G)/(NIR+G)；SAVI=1.5* [(NIR-R)/(NIR+R+0.5)]；GSAVI
=1.5* [(NIR-G)/(NIR+G+0.5)]；OSAVI=(NIR-R)/(NIR+R+0.16)；GOSAVI=(NIR-G)/(NIR+
G+0.16)；MSAVI2=0.5* [2* (NIR+1)-SQRT ((2*NIR+1)2-8*(NIR-R))]；GMSAVI2=0.5* [2*
(NIR+1)-SQRT((2*NIR+1)2-8*(NIR-G))]；RDVI=SQRT (NDVI*DVI)；GRDVI=SQRT (GNDVI*
GDVI)；Wherein, in above-mentioned each computing formula, G represents the anti-of the TM3 wave band after Landsat 8 satellite remote-sensing image atmospheric correction
Penetrating rate, its wave band interval is 0.525-0.600 μm；R represents the TM4 wave band after Landsat 8 satellite remote-sensing image atmospheric correction
Reflectance, its wave band interval is 0.630-0.680 μm；After NIR represents Landsat 8 satellite remote-sensing image atmospheric correction
The reflectance of TM5 wave band, its wave band interval is 0.845-0.885 μm.
The jujube tree canopy sample gathered in each sampling unit is used the class that traditional indoor chemical analysis method obtains
Carotene carotene content standard results and NG, NR, NNIR, RVI, GRVI, DVI, GDVI, NDVI, GNDVI, SAVI, GSAVI,
OSAVI, GOSAVI, MSAVI2, GMSAVI2, RDVI, GRDVI numerical value carries out correlation matrix analysis, selects dependency to reach the most aobvious
The vegetation index of work level is as the selected factor of modeling, if but autocorrelation between selected vegetation index reaches extremely notable water
Flat, the most only choose wherein the highest with carotenoid content dependency vegetation index as the selected factor.
According to above method this select altogether NR, MSAVI2, GSAVI, GOSAVI, GMSAVI2, GDVI, DVI totally 7 plant
By index as the modeling factors of jujube tree canopy carotenoid content.
According to 30 corresponding taking of carotenoid content data using traditional indoor chemical analysis method to obtain
NR, MSAVI2, GSAVI, GOSAVI, GMSAVI2, GDVI, DVI numerical value of sample unit, uses partial least square method to build jujube tree
The model of canopy carotenoid content, its model is: Y=0.3209648NR-0.06380936MSAVI2-
0.07388984GSAVI-0.1325935GOSAVI-0.05366499GMSAVI2-0.02665145GDVI-
0.03155722DVI+0.21882。
Wherein, Y is the carotenoid content of jujube tree canopy, and unit is mg/g.
NR, MSAVI2, GSAVI, GOSAVI, GMSAVI2, GDVI, DVI numerical value remaining 30 sampling units is substituted into Fructus Jujubae
The model of crown canopy carotenoid content carries out inverting:
Y=0.3209648NR-0.06380936MSAVI2-0.07388984GSAVI-0.1325935 GOSAVI-
0.05366499GMSAVI2-0.02665145GDVI-0.03155722DVI+0.21882, calculates the carotenoid of its correspondence
Content data, and it is compared with the measurement result of traditional indoor chemical analysis method, check the inverting essence of this model
Degree.
Table 1 be the jujube tree canopy carotenoid content utilizing traditional indoor chemical analysis method to obtain actual value with
Utilize the statistical data of the monitor value that above-mentioned jujube tree canopy carotenoid content Satellite Remote Sensing model obtains.
Table 1 jujube tree canopy carotenoid content measured value and the contrast (sample number is 30) of Satellite Remote Sensing result
As known from Table 1, actual value and the meansigma methods of both monitor values, maximum, minima are the most close.Fig. 1 is jujube tree
Canopy carotenoid content detected value and the fitting degree of actual value.Wherein the assay method of actual value is National Standard Method Kelvin-steaming
Evaporate method.The coefficient of determination (R between actual value and detected value2) reaching 0.66, root-mean-square error (RMSE) only has 0.015mg/g,
Mean absolute error (MAE) only has 0.012mg/g, illustrates that model has the ability of high-precision forecast.This result shows, the present invention
Method can monitor jujube tree canopy carotenoid content accurately and rapidly.
Embodiment described above is only the preferred embodiment lifted by absolutely proving the present invention, and its protection domain does not limits
In this.The equivalent that those skilled in the art are made on the basis of the present invention substitutes or conversion, all in the protection of the present invention
Within the scope of, protection scope of the present invention is as the criterion with claims.
Claims (5)
1. the satellite remote-sensing monitoring method of a jujube tree canopy carotenoid content, it is characterised in that comprise the steps:
S1: determine region to be monitored；
S2: download the satellite remote-sensing image in region to be monitored；
S3: the satellite remote-sensing image downloaded is carried out geometric accurate correction；
S4: the satellite remote-sensing image after geometric accurate correction is carried out radiant correction；
S5: the satellite remote-sensing image after radiant correction is carried out atmospheric correction；
S6: the satellite remote-sensing image after atmospheric correction is carried out cutting, obtains monitored area image；
S7: calculate in monitored area image NR, MSAVI2, GSAVI, GOSAVI, GMSAVI2, GDVI, DVI of each pixel totally 7
Individual vegetation index；
S8: 7 vegetation index NR, MSAVI2, GSAVI, GOSAVI, GMSAVI2, GDVI, the DVIs corresponding with each pixel are led to
The band math function crossing ENVI5.1 software substitutes into the model of jujube tree canopy carotenoid content,
Y=0.3209648NR-0.06380936MSAVI2-0.07388984GSAVI-0.1325935 GOSAVI-
0.05366499GMSAVI2-0.02665145GDVI-0.03155722DVI+0.21882, calculates corresponding picture in monitored area
The jujube tree canopy carotenoid content of unit；
Wherein, Y is the carotenoid content of jujube tree canopy, and unit is mg/g.
The satellite remote-sensing monitoring method of jujube tree canopy carotenoid content the most according to claim 1, it is characterised in that
In S2, described satellite remote-sensing image derives from Landsat 8 satellite, and described Landsat 8 satellite spatial resolution is 30 meters.
The satellite remote-sensing monitoring method of jujube tree canopy carotenoid content the most according to claim 2, it is characterised in that
In S7,
The computing formula of described NR is: NR=R/ (NIR+R+G)；The computing formula of described MSAVI2 is: MSAVI2=0.5* [2*
(NIR+1)-SQRT((2*NIR+1)2-8*(NIR-R))]；The computing formula of described GSAVI is: GSAVI=1.5* [(NIR-
G)/(NIR+G+0.5)]；The computing formula of described GOSAVI is: GOSAVI=(NIR-G)/(NIR+G+0.16)；Described
The computing formula of GMSAVI2 is: GMSAVI2=0.5* [2* (NIR+1)-SQRT ((2*NIR+1)2-8*(NIR-G))]；Described
The computing formula of GDVI is: GDVI=NIR G；The computing formula of described DVI is: DVI=NIR R；
Wherein, G represents the reflectance of the TM3 wave band after Landsat 8 satellite remote-sensing image atmospheric correction, and its wave band interval is
0.525-0.600μm；R represents the reflectance of the TM4 wave band after Landsat 8 satellite remote-sensing image atmospheric correction, its wave band district
Between be 0.630-0.680 μm；NIR represents the reflectance of the TM5 wave band after Landsat 8 satellite remote-sensing image atmospheric correction, its
Wave band interval is 0.845-0.885 μm.
The satellite remote-sensing monitoring method of jujube tree canopy carotenoid content the most according to claim 1, it is characterised in that
In S3-S5, described geometric accurate correction, described radiant correction, described atmospheric correction all complete in software ENVI 5.1.
The satellite remote-sensing monitoring method of jujube tree canopy carotenoid content the most according to claim 4, it is characterised in that
Described atmospheric correction uses FLAASH Atmospheric Correction method.
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