CN107991249B - Universal remote sensing estimation method for chlorophyll a concentration of inland water body - Google Patents
Universal remote sensing estimation method for chlorophyll a concentration of inland water body Download PDFInfo
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- ATNHDLDRLWWWCB-AENOIHSZSA-M chlorophyll a Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 ATNHDLDRLWWWCB-AENOIHSZSA-M 0.000 title claims abstract description 56
- 229930002868 chlorophyll a Natural products 0.000 title claims abstract description 53
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000003595 spectral effect Effects 0.000 claims abstract description 16
- 238000010521 absorption reaction Methods 0.000 claims description 33
- 230000003287 optical effect Effects 0.000 claims description 5
- 229930002875 chlorophyll Natural products 0.000 claims description 3
- 235000019804 chlorophyll Nutrition 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000013441 quality evaluation Methods 0.000 claims description 3
- 238000002310 reflectometry Methods 0.000 claims description 3
- 241000195493 Cryptophyta Species 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000007857 degradation product Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
- 230000035764 nutrition Effects 0.000 description 1
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Abstract
The invention discloses a universal remote sensing estimation method for the chlorophyll a concentration of an inland water body, which belongs to the technical field of remote sensing, adopts 4 spectral bands of visible light and near infrared as parameters to carry out remote sensing estimation on the chlorophyll a concentration, provides a limited condition for selecting 4 bands, and realizes an estimation method for the chlorophyll a concentration of the inland water body with high precision and strong universality.
Description
Technical Field
The invention belongs to the technical field of remote sensing.
Background
The proportion of chlorophyll a in algae substances is stable and is easy to measure in a laboratory, so that the concentration of the chlorophyll a is an important indicator of the water body nutrition state and an important indicator of water environment quality evaluation. The conventional field sampling-laboratory analysis method can help people to know the biological characteristics of the water body in detail, but the method consumes a large amount of manpower, material resources and financial resources, can only reflect the water quality conditions of partial sampling areas, and cannot express the water quality conditions of a large area. The remote sensing technology is used as an auxiliary means of a traditional sampling method, has the advantages of convenience, rapidness and macroscopic view, and a remote sensing estimation result can provide decision support service for a management department. The optical characteristics of the oceanic water bodies are single and mainly determined by phytoplankton and degradation products thereof, so that the construction of the inversion model of the chlorophyll a of the oceanic water bodies achieves a good effect, and the remote sensing technology can be well used for monitoring the marine ecological environment. However, in two types of water bodies such as lakes, rivers, gulfs and the like, the composition of water body substances is complex, floating algae, non-algae suspended matters and organic matters influence the optical characteristics of the water body together, and different water body leading substances are different, so that great difficulty is caused to the construction of chlorophyll a models of the two types of water bodies. The currently constructed chlorophyll a model has large differences in form and parameters of the model for different lakes or different times of the same lake, which results in insufficient popularization and application capability of the model, and currently, an estimation method which simultaneously meets high precision and strong universality still does not exist.
Disclosure of Invention
The invention aims to provide a universal remote sensing estimation method for the chlorophyll a concentration of an inland water body, and realizes an estimation method for the chlorophyll a concentration of the inland water body with high precision and strong universality.
In order to achieve the purpose, the invention adopts the following technical scheme:
a universal remote sensing estimation method for the chlorophyll a concentration of an inland water body comprises the following steps:
step 1: collecting hyperspectral observation data of a water body through a ground spectral radiometer;
step 2: exporting measured data of the ground spectral radiometer to a computer through data output;
and step 3: setting a variable Chla as the chlorophyll a concentration, processing hyperspectral observation data through a computer, and estimating the value of the Chla; the value of Chla is estimated according to the following steps:
step A: definition bb( λn) Is in the wave band lambdanThe total backscattering coefficient of the water body at the position, wherein n is an integer of 1-4; definition of Rrs( λn) Is in the wave band lambdanThe remote sensing reflectivity of the position, n is an integer of 1-4; definition achla( λn) Is chlorophyll a at the wave band lambdanThe absorption coefficient of the position, n is an integer of 1-4; definition aw( λn) Is pure water at wave band lambdanDefining η variable as parameter variable for removing interference of other water body components on chlorophyll optical characteristics, UMOC industries as intermediate variable;
and B: b is calculated according to the following formulabValue of (λ):
and C: calculating λ according to the following formula4The value of (c):
when in use
Then
When in use
Then
Wherein,
and
each represents any one of the spectral bands of visible-near infrared,
is not equal to
Step D: the value of UMOC Indices was calculated according to the following formula:
step E: a is calculated according to the following formulaChla(λ1)：
aChla(λ1)＝UMOC Indices×(aw(λ4)+bb(λ))-aw(λ1)+ηaw(λ2)+ (1-η)aw(λ3)；
Step F: the value of Chla was calculated according to the following formula:
and 4, step 4: and evaluating a water environment quality evaluation report according to the value of Chla, and printing the water environment quality evaluation report by printing equipment.
Said lambdanIs 4 spectral bands of visible light-near infrared, wherein n is an integer of 1-4.
Said lambdanThe following conditions are satisfied:
first wavelength band lambda1A second wave band lambda2And a third wavelength band lambda3All get the positionAn arbitrary spectral band value in the vicinity of chlorophyll-a absorption peak, wherein in the first band λ1Internal chlorophyll a absorption coefficient aChla(λ1) Much larger than in the second band lambda2Internal chlorophyll a absorption coefficient aChla(λ2) And in a first wavelength band λ1Internal chlorophyll a absorption coefficient aChla(λ1) Much larger than in the third band lambda3Internal chlorophyll a absorption coefficient (a)Chla(λ3) A) namelyChla(λ1)＞＞aChla(λ2)，aChla(λ1)＞＞aChla(λ3) (ii) a First wavelength band lambda1Intrinsic colored debris absorption coefficient acdm(λ1) From a second wavelength band λ2And a third wavelength band lambda3The intrinsic colored debris absorption coefficient is estimated by a weighted average, which is given by the following equation:
aym(λ1)＝ηaym(λ2)+(1-η)aym(λ3)；
a fourth wavelength band λ4Internal chlorophyll a absorption coefficient aChla(λ4) A fourth wavelength band lambda4Intrinsic colored debris absorption coefficient aym(λ4) And absorption coefficient of pure water aw(λ4) The relationship between them is as follows: a isw(λ4)＞＞aChla(λ4)+aym(λ4)；
First wavelength band lambda1A second wave band lambda2And a third wavelength band lambda3And a fourth wavelength band lambda4The relationship between the total backscattering coefficients of the water bodies is as follows: bb(λ1)≈bb(λ2)≈bb(λ3)≈bb(λ4)。
The value of the η variable is 0.2.
The universal remote sensing estimation method for the chlorophyll a concentration of the inland water body realizes an estimation method for the chlorophyll a concentration of the inland water body with high precision and strong universality; the method adopts 4 spectral bands of visible light and near infrared as parameters to carry out remote sensing estimation on the chlorophyll a concentration, provides a limiting condition for selecting 4 bands, and enhances the applicability of the method in the remote sensing estimation of the chlorophyll a concentration of the inland water body.
Drawings
FIG. 1 is a graph comparing the estimation result of chlorophyll-a concentration with the actual measurement result according to the present invention;
FIG. 2(a) is a chlorophyll a estimation accuracy diagram of a commonly used band ratio model (GBR);
FIG. 2(b) is a chlorophyll-a estimation accuracy map of a three-band model (abbreviated as GTBA).
Detailed Description
The first embodiment is as follows:
as shown in FIG. 1, the universal remote sensing estimation method for chlorophyll a concentration of inland water body comprises the following steps:
step 1: collecting hyperspectral observation data of a water body through a ground spectral radiometer;
step 2: exporting measured data of the ground spectral radiometer to a computer through data output;
and step 3: setting a variable Chla as the chlorophyll a concentration, processing hyperspectral observation data through a computer, and estimating the value of the Chla; the value of Chla is estimated according to the following steps:
step A: definition bb( λn) Is in the wave band lambdanThe total backscattering coefficient of the water body at the position, wherein n is an integer of 1-4; definition of Rrs( λn) Is in the wave band lambdanThe remote sensing reflectivity of the position, n is an integer of 1-4; definition achla( λn) Is chlorophyll a at the wave band lambdanThe absorption coefficient of the position, n is an integer of 1-4; definition aw( λn) Is pure water at wave band lambdanDefining η variable as parameter variable for removing interference of other water body components on chlorophyll optical characteristics, UMOC industries as intermediate variable;
and B: b is calculated according to the following formulabValue of (λ):
and C: calculating λ according to the following formula4The value of (c):
when in use
Then
When in use
Then
Wherein,
and
each represents any one of the spectral bands of visible-near infrared,
is not equal to
Step D: the value of UMOC Indices was calculated according to the following formula:
step E: a is calculated according to the following formulaChla(λ1)：
aChla(λ1)＝UMOC Indices×(aw(λ4)+bb(λ))-aw(λ1)+ηaw(λ2)+ (1-η)aw(λ3)；
Step F: the value of Chla was calculated according to the following formula:
and 4, step 4: and evaluating a water environment quality evaluation report according to the value of Chla, and printing the water environment quality evaluation report by printing equipment.
Said lambdanIs 4 spectral bands of visible light-near infrared, wherein n is an integer of 1-4.
Said lambdanThe following conditions are satisfied:
first wavelength band lambda1A second wave band lambda2And a third wavelength band lambda3All taking any spectral band value near chlorophyll a absorption peak, wherein in the first band lambda1Internal chlorophyll a absorption coefficient aChla(λ1) Much larger than in the second band lambda2Internal chlorophyll a absorption coefficient aChla(λ2) And in a first wavelength band λ1Internal chlorophyll a absorption coefficient aChla(λ1) Much larger than in the third band lambda3Internal chlorophyll a absorption coefficient (a)Chla(λ3) A) namelyChla(λ1)＞＞aChla(λ2)，aChla(λ1)＞＞aChla(λ3) (ii) a First wavelength band lambda1Intrinsic colored debris absorption coefficient acdm(λ1) From a second wavelength band λ2And a third wavelength band lambda3The intrinsic colored debris absorption coefficient is estimated by a weighted average, which is given by the following equation:
aym(λ1)＝ηaym(λ2)+(1-η)aym(λ3)；
a fourth wavelength band λ4Internal chlorophyll a absorption coefficient aChla(λ4) A fourth wavelength band lambda4Intrinsic colored debris absorption coefficient aym(λ4) And absorption coefficient of pure water aw(λ4) The relationship between them is as follows: a isw(λ4)＞＞aChla(λ4)+aym(λ4)；
First wavelength band lambda1A second wave band lambda2And a third wavelength band lambda3And a fourth wavelength band lambda4The relationship between the total backscattering coefficients of the water bodies is as follows: bb(λ1)≈bb(λ2)≈bb(λ3)≈bb(λ4)。
The value of the η variable is 0.2.
Example two:
as shown in fig. 2(a) and 2(b), in order to illustrate the superiority of the present invention, the chlorophyll a concentration is calculated by using a currently popular band ratio model (abbreviated as GBR) and a three-band model (abbreviated as GTBA), respectively, and the calculation formulas are shown as formula (1) and formula (2):
Chla＝232.329×(Rrs(665)-1-Rrs(708)-1)×Rrs(753) (2)
the results of the GBR and GTBA model estimation are shown in fig. 2(a) and 2 (b). As can be seen from the figure, the estimation accuracy of the GBR model and the GTBA model is not very different, wherein the average relative error of the GBR model estimation is 44.690%, and the average relative error of the GTBA model estimation is 43.327%, which is slightly better than that of the GBR model. Compared with the two models, the UMOC model constructed by the method has the advantage that the estimation precision is improved by about 13%.
The universal remote sensing estimation method for the chlorophyll a concentration of the inland water body realizes an estimation method for the chlorophyll a concentration of the inland water body with high precision and strong universality; the method adopts 4 spectral bands of visible light and near infrared as parameters to carry out remote sensing estimation on the chlorophyll a concentration, provides a limiting condition for selecting 4 bands, and enhances the applicability of the method in the remote sensing estimation of the chlorophyll a concentration of the inland water body.
Claims (3)
1. A universal remote sensing estimation method for the chlorophyll a concentration of inland water is characterized by comprising the following steps: the method comprises the following steps:
step 1: collecting hyperspectral observation data of a water body through a ground spectral radiometer;
step 2: exporting measured data of the ground spectral radiometer to a computer through data output;
and step 3: setting a variable Chla as the chlorophyll a concentration, processing hyperspectral observation data through a computer, and estimating the value of the Chla; the value of Chla is estimated according to the following steps:
step A: definition bb(λn) Is in the wave band lambdanThe total backscattering coefficient of the water body at the position, wherein n is an integer of 1-4; definition of Rrs(λn) Is in the wave band lambdanThe remote sensing reflectivity of the position, n is an integer of 1-4; definition achla(λn) Is chlorophyll a at the wave band lambdanThe absorption coefficient of the position, n is an integer of 1-4; definition aw(λn) Is pure water at wave band lambdanDefining η variable as parameter variable for removing interference of other water body components on chlorophyll optical characteristics, UMOC industries as intermediate variable;
and B: b is calculated according to the following formulabValue of (λ):
and C: calculating λ according to the following formula4The value of (c):
when in use
Then
When in use
Then
Wherein,
and
each represents any one of the spectral bands of visible-near infrared,
is not equal to
Step D: the value of UMOC Indices was calculated according to the following formula:
step E: a is calculated according to the following formulaChla(λ1)：
aChla(λ1)＝UMOC Indices×(aw(λ4)+bb(λ))-aw(λ1)+ηaw(λ2)+(1-η)aw(λ3)；
Step F: the value of Chla was calculated according to the following formula:
and 4, step 4: evaluating a water environment quality evaluation report according to the value of Chla, and printing the water environment quality evaluation report by printing equipment;
said lambdanThe following conditions are satisfied:
first wavelength band lambda1A second wave band lambda2And a third wavelength band lambda3All taking any spectral band value near chlorophyll a absorption peak, wherein in the first band lambda1Internal chlorophyll a absorption coefficient aChla(λ1) Much larger than in the second band lambda2Internal chlorophyll a absorption coefficient aChla(λ2) And in a first wavelength band λ1Internal chlorophyll a absorption coefficient aChla(λ1) Much larger than in the third band lambda3Internal chlorophyll a absorption coefficient (a)Chla(λ3) A) namelyChla(λ1)＞＞aChla(λ2)，aChla(λ1)＞＞aChla(λ3) (ii) a First wavelength band lambda1Intrinsic colored debris absorption coefficient acdm(λ1) From a second wavelength band λ2And a third wavelength band lambda3The intrinsic colored debris absorption coefficient is estimated by a weighted average, which is given by the following equation:
aym(λ1)＝ηaym(λ2)+(1-η)aym(λ3)；
a fourth wavelength band λ4Internal chlorophyll a absorption coefficient aChla(λ4) A fourth wavelength band lambda4Intrinsic colored debris absorption coefficient aym(λ4) And absorption coefficient of pure water aw(λ4) The relationship between them is as follows: a isw(λ4)＞＞aChla(λ4)+aym(λ4)；
First wavelength band lambda1A second wave band lambda2And a third wavelength band lambda3And a fourth wavelength band lambda4The relationship between the total backscattering coefficients of the water bodies is as follows: bb(λ1)≈bb(λ2)≈bb(λ3)≈bb(λ4)。
2. The universal remote sensing estimation method for the chlorophyll a concentration of the inland water body as claimed in claim 1, characterized in that: said lambdanIs 4 spectral bands of visible light-near infrared, wherein n is an integer of 1-4.
3. The method for remote sensing and estimating the universality of the chlorophyll a concentration of the inland water body according to claim 1 or 2, wherein the value of the η variable is 0.2.
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