CN104330058A - Correction method for measuring leaf area index by use of plant canopy analyzer - Google Patents
Correction method for measuring leaf area index by use of plant canopy analyzer Download PDFInfo
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- CN104330058A CN104330058A CN201410686003.5A CN201410686003A CN104330058A CN 104330058 A CN104330058 A CN 104330058A CN 201410686003 A CN201410686003 A CN 201410686003A CN 104330058 A CN104330058 A CN 104330058A
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Abstract
The invention provides a correction method for measuring a leaf area index by use of a plant canopy analyzer, relates to a correction method for measuring the leaf area index and aims at solving the problem that the existing measuring method by use of the LAI-2000 plant canopy analyzer is limited and low in leaf area index estimation accuracy. The correction method is used for obtaining an LAI value by use of the LAI-2000 plant canopy analyzer; correction is based on a formula as shown in the description; in the formula, L represents the LAI numerical value after correction and Le represents the LAI numerical value before correction; alpha, omega E and gamma E in the formula are correction coefficients, wherein alpha is the proportion of a lignin index in the total LAI, and the values of alpha of an artificial Korean pine forest and a betula platyphylla secondary forest are 0.03 and 0.04, respectively; omega E is a crowding index, and the values of omega E of the artificial Korean pine forest and the betula platyphylla secondary forest are 0.95 and 0.87, respectively; gamma E is a needle-cluster ratio. The correction method for measuring the leaf area index by use of the plant canopy analyzer takes the influence of the crowding effect into account and is comprehensive in the range of consideration, and the obtained data are true and reliable.
Description
Technical field
The present invention relates to a kind of bearing calibration of leaf area index, be specifically related to a kind of bearing calibration utilizing LAI-2000 plant canopy analysis-e/or determining leaf area index, belong to forest ecology field.
Background technology
Leaf area index (leaf area index, LAI) refers to the half (Chen and Black, 1992) of total blade table area on unit surface area.LAI affects the microclimate in forest ecosystem canopy, and decide radiation transmission, transpiration, water and the carbon exchange interaction between canopy and air is also the important component of biogeochemical cycle in model ecosystem.Meanwhile, LAI and productivity of forest stand closely bound up.Therefore, the Accurate Determining of LAI is most important for understanding many physiological ecological processes further.At present, the assay method of LAI is mainly divided into direct method and indirect method.Direct method mainly comprises destructive sampling method; different rate growth formula method and Litter-fall method; the method is with a long history; technology maturation, the LAI of mensuration, close to actual value, is usually used in the accuracy assessing indirect Determination value; but direct method labour intensity is large; inefficiency, especially first two method has destructiveness, is not suitable for the LAI monitoring Forest Types in wilderness area.Comparatively speaking, indirect method obtains LAI by optical instrument according to crown canopy structural parameters (as woods gap mark) inverting, it is convenient to carry, easy and simple to handle, and wherein LAI-2000 plant canopy analyser is at present for monitoring one of the most frequently used instrument of Different Forest ecosystem LAI.But, indirect method due to instrument own limitations estimate LAI time there is certain error, as: optical instrument method can not effectively distinguish xylem and blade, have ignored the crowding effect in canopy, makes the leaf area index precision of mensuration not high.
Summary of the invention
The object of the invention is to there is limitation to solve existing LAI-2000 plant canopy analyser mensuration, measuring the problem that leaf area index precision is low.
Technical scheme of the present invention is: a kind of bearing calibration utilizing plant canopy analysis-e/or determining leaf area index, utilizes LAI-2000 plant canopy analysis-e/or determining to obtain LAI value, then according to formula
correct, in formula, L is the LAI numerical value after correcting, L
efor the LAI numerical value before correction, α, Ω in formula
eand γ
efor correction coefficient, wherein α is the ratio that wooden index accounts for total LAI, and the value of Artificial Pinus koraiensis plantation and white birch scondary forest α is respectively 0.03 and 0.04, Ω
efor conglomeration index, Artificial Pinus koraiensis plantation and white birch scondary forest Ω
evalue be respectively 0.95 and 0.87, γ
efor pin bunch ratio, the γ of Artificial Pinus koraiensis plantation
ebe 1.53, and the γ of white birch scondary forest
ebe 1.0.
The method that draws of α value is: measure α value based on Photoshop software, utilize DHP software process hemisphere photographs to obtain total LAI, described total LAI comprises xylem and blade, i.e. vegetation index, is designated as LAI
total, utilize the imitated badge instrument in Photoshop software, replaced by the greenery sky in image, only the xylem such as remaining trunk, then utilizes DHP software again to process this image, obtains wooden index W AI, according to formula α=WAI/LAI
totaldraw α value;
Ω
ebe worth method be: to utilize TRAC instrument to gather the data of each sampling point, and obtain the Ω of Artificial Pinus koraiensis plantation and white birch scondary forest by self software kit
evalue;
γ
ebe worth method be: the γ measuring evergreen needle-leaved tree kind by gathering sample branch method on the spot
eeach evergreen needle-leaved tree kind selects three strain sample trees, every strain sample tree is divided into by the height of tree, in, lower three height, then each height chooses 5-10 sample bunch, and the ratio accounting for the total basal area of all seeds according to the basal area of each seeds is weighted the γ obtaining Artificial Pinus koraiensis plantation and white birch scondary forest
e.
Data determination of the present invention period is leaf area maximum period.
Described leaf area maximum period is geographic position is east longitude 127 ° to 130 °, time August at north latitude 46 ° to 49 ° place.
The present invention compared with prior art has following effect: obtained by table 1, and in Artificial Pinus koraiensis plantation, effective LAI that LAI-2000 measures on average underestimates 40% than true LAI, and namely precision is 60%, and after the correction of this programme, precision is improved significantly, and reaches 93%; As seen from Table 2, in white birch scondary forest, LAI-2000 measure effective LAI than true LAI on average underestimate 10% that is precision be 90%, after the correction of this programme, precision is also improved, and reaches 97%.Method of the present invention has increased substantially the measuring accuracy of leaf area index, and the method easily realizes, time saving and energy saving, be applicable to the forest ecosystem of complicated tall and big crown canopy structure completely, and can not burden be caused to forest ecology and destroy, be listed within limit of consideration by the impact that crowding effect produces, limit of consideration is comprehensive, and the data obtained is true and reliable.
Embodiment
Embodiment one: a kind of bearing calibration utilizing LAI-2000 plant canopy analysis-e/or determining leaf area index, comprising:
Utilize LAI-2000 plant canopy analysis-e/or determining to obtain effective LAI value, be designated as L
e, its method comprises: LAI-2000 plant canopy analyser in image data time, making inductive probe overhead 1.3m, and keep level, for avoiding operating personnel, image data being had an impact use 45 ° of top covers; Gathering before and after the data in sample ground, LAI-2000 is utilized to measure five groups of data and sky blank value from sample ground open field nearby, to guarantee the measured value standardization of sample ground; The data acquisition FV2200 software process adopted, zenith angle scope is 1-3 ring, and for avoiding direct light on the impact of measured value, the image data time is selected in before and after cloudy day or sunrise and sunset.
Obtain correction coefficient, described correction coefficient comprises α, Ω
eand γ
e, wherein α is the ratio that wooden index accounts for total LAI, and described total LAI comprises xylem and blade, i.e. vegetation index, is designated as LAI
total, Ω
efor conglomeration index, for quantizing the crowding effect on Canopy, γ
efor pin bunch ratio, the crowding effect in quantizing bunch in level;
According to formula
draw the LAI numerical value after correction, be designated as L.
α value measurement method: utilize DHP software process hemisphere photographs to obtain LAI
total; Utilize the imitated badge instrument in Photoshop software, replaced by the greenery sky in image, only the xylem such as remaining trunk, then utilizes DHP software again to process this image, obtains wooden index W AI; According to formula α=WAI/LAI
totaldraw α value, after measured, when Artificial Pinus koraiensis plantation and white birch scondary forest LAI maximum period, the mean value of α is respectively 0.03 and 0.04.
Utilize TRAC instrument to gather the data of each sampling point, and obtain Artificial Pinus koraiensis plantation and white birch scondary forest LAI Ω in maximum period by self software kit
emean value, Artificial Pinus koraiensis plantation and white birch scondary forest LAI Ω in maximum period after measured
evalue be respectively 0.95 and 0.87.
The γ of evergreen needle-leaved tree kind is measured by gathering sample branch method on the spot
e, each evergreen needle-leaved tree kind selects three strain sample trees, and every strain sample tree is divided into by the height of tree, in, lower three height, then each height chooses 5-10 sample bunch, and the ratio accounting for the total basal area of all seeds according to the basal area of each seeds is weighted the average γ obtaining Artificial Pinus koraiensis plantation
e, the γ of Xiaoxing'an Mountains evergreen needle-leaved tree kind after measured
escope is 1.04-1.90, obtains the average γ of Artificial Pinus koraiensis plantation thus
ebe 1.53, and white birch scondary forest major part seeds are deciduous species, therefore its average γ
ebe 1.0.
Data estimation of the present invention period is leaf area maximum period.
The geographic position that the inventive method is used for Artificial Pinus koraiensis plantation and white birch scondary forest is east longitude 127 ° to 130 °, and between north latitude 46 ° to 49 °, described leaf area is time August of this geographical location maximum period.
The described LAI utilizing Litter-fall method to measure Artificial Pinus koraiensis plantation and white birch scondary forest mainly comprises two parts: for deciduous broadleaf tree, the LAI that the LAI produced by cumulative Litter leaf of falling leaves season is obtained; For evergreen needle-leaved tree kind, the LAI that the Litter leaf first measuring coniferous species in a year produces, the Average Survival cycle of being then multiplied by needle obtains total LAI of coniferous species, and the LAI of comprehensive fallen leaves and evergreen species can obtain the real LAI of whole standing forest, is designated as L
real.
According to formula X
1=(L
real-L
e)/L
real× 100%, X
2=(L
real-L)/L
realthe variance rate of × 100% calculating LAI, wherein X
1for true LAI value L
realwith effective LAI value L
ebetween variance rate, X
2for true LAI value L
realand the variance rate between the LAI numerical value L after correcting, effective LAI value L
eprecision be designated as Y
1, the precision of the LAI numerical value L after correction is designated as Y
2, Y
1=1-X
1, Y
2=1-X
2.
Embodiment two: for coniferous forest and broad-leaf forest, the ratio α value that wooden index accounts for total LAI can pass through Direct Determination.
Embodiment three: for broad-leaf forest, obtain correction index α and can utilize following methods, its step is 1, utilizes DHP software process hemisphere photographs to obtain comprising total LAI of xylem and blade, i.e. vegetation index, is designated as LAI
total; 2, utilize the imitated badge instrument in Photoshop software, the non-trunk of the trunk in image near it is replaced, then utilizes DHP software again to process this image, obtain the LAI that greenery produce, be designated as LAI
green; 3, α=(LAI can be obtained according to following formula
total-LAI
green)/LAI
total.
Table 1 Artificial Pinus koraiensis plantation leaf area index measurement result.
Table 2. white birch scondary forest leaf area index measurement result.
Claims (6)
1. utilize a bearing calibration for plant canopy analysis-e/or determining leaf area index, utilize LAI-2000 plant canopy analysis-e/or determining to obtain LAI value, then according to formula
correct, in formula, L is the LAI numerical value after correcting, L
efor the LAI numerical value before correction, it is characterized in that: α, Ω in formula
eand γ
efor correction coefficient, wherein α is the ratio that wooden index accounts for total LAI, and the value of Artificial Pinus koraiensis plantation and white birch scondary forest α is respectively 0.03 and 0.04, Ω
efor conglomeration index, Artificial Pinus koraiensis plantation and white birch scondary forest Ω
evalue be respectively 0.95 and 0.87, γ
efor pin bunch ratio, the γ of Artificial Pinus koraiensis plantation
ebe 1.53, and the γ of white birch scondary forest
ebe 1.0.
2. a kind of bearing calibration utilizing plant canopy analysis-e/or determining leaf area index according to claim 1, is characterized in that: the mensuration of described LAI value and correction coefficient are all applied to leaf area maximum period.
3. a kind of bearing calibration utilizing plant canopy analysis-e/or determining leaf area index according to claim 2, it is characterized in that: described method is applied to Artificial Pinus koraiensis plantation and white birch scondary forest, geographic position is east longitude 127 ° to 130 °, between north latitude 46 ° to 49 °, described leaf area is time August of this geographical location maximum period.
4. a kind of bearing calibration utilizing plant canopy analysis-e/or determining leaf area index according to claim 1, it is characterized in that: the method that draws of α value is: measure α value based on Photoshop software, DHP software process hemisphere photographs is utilized to obtain total LAI, described total LAI comprises xylem and blade, i.e. vegetation index, is designated as LAI
total, utilize the imitated badge instrument in Photoshop software, replaced by the greenery sky in image, only the xylem such as remaining trunk, then utilizes DHP software again to process this image, obtains wooden index W AI, according to formula α=WAI/LAI
totaldraw α value.
5. a kind of bearing calibration utilizing plant canopy analysis-e/or determining leaf area index according to claim 1, is characterized in that: Ω
ebe worth method be: to utilize TRAC instrument to gather the data of each sampling point, and obtain the Ω of Artificial Pinus koraiensis plantation and white birch scondary forest by self software kit
evalue.
6. a kind of bearing calibration utilizing plant canopy analysis-e/or determining leaf area index according to claim 1, is characterized in that: γ
ebe worth method be: the γ measuring Artificial Pinus koraiensis plantation and all sorts of flowers scondary forest seeds by gathering sample branch method on the spot
e, each leaf Tree Species Selection three strain sample tree, every strain sample tree is divided into by the height of tree, in, lower three height, then each height chooses 5-10 sample bunch, and the ratio accounting for the total basal area of all seeds according to the basal area of each seeds is weighted the γ obtaining Artificial Pinus koraiensis plantation and white birch scondary forest
evalue.
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| CN111798509A (en) * | 2020-06-22 | 2020-10-20 | 电子科技大学 | Method for measuring leaf area index based on hemispherical image method |
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