CN104330058B - Correction method for measuring leaf area index by use of plant canopy analyzer - Google Patents
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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, and in particular to a kind of using LAI-2000 plant canopies point
Analyzer determines the bearing calibration of leaf area index, belongs to forest ecology field.
Background technology
Leaf area index (leaf area index, LAI) refers to the half of total percentage of blade surface area on unit surface area
(Chen and Black,1992).LAI affects the microclimate in forest ecosystem canopy, decides radiation transmission, rising
Effect, the exchange interaction of water and carbon between canopy and air, is also the important of biogeochemical cycle in model ecosystem
Component.Meanwhile, LAI is closely bound up with productivity of forest stand.Therefore, the Accurate Determining of LAI is for further appreciating that the life of many physiology
State process is most important.At present, the assay method of LAI is broadly divided into direct method and indirect method.Direct method mainly includes destructiveness
Sampling method, different rate growth formula method and the litter method, the method is with a long history, technology maturation, and the LAI of measure is close to true
Value, is usually used in assessing the accuracy of indirect Determination value, but direct method high labor intensive, especially inefficiency, first two method
With destructiveness, it is not suitable for monitoring the LAI of Forest Types in nature reserve area.Comparatively, indirect method passes through optical instrument root
LAI is obtained according to crown canopy structural parameters (such as woods gap fraction) inverting, it is convenient to carry, easy to operate, wherein LAI-2000 plant canopies
Analyser is currently used for one of monitoring Different Forest ecosystem LAI the most frequently used instrument.However, indirect method due to instrument from
There is certain error in body limitation, such as when LAI is estimated：Optical instrument method can not effectively distinguish xylem and blade, have ignored
Concentration effect in canopy, makes the leaf area index precision of measure not high.
The content of the invention
The invention aims to solving existing LAI-2000 plant canopies analyser measurement method has limitation, determine
The low problem of leaf area index precision.
The technical scheme is that：A kind of bearing calibration of utilization plant canopy analysis-e/or determining leaf area index, profit
LAI values are obtained with LAI-2000 plant canopy analysis-e/or determinings, then according to formulaIt is corrected, formula
In, L be correction after LAI numerical value, LeFor the LAI numerical value before correction, α, Ω in formulaEAnd γEFor correction coefficient, wherein α is wooden
Matter index accounts for the value of the ratio of total LAI, Artificial Pinus koraiensis plantation and Betula platyphylla Suk. scondary forest α and is respectively 0.03 and 0.04, ΩETo gather finger
Number, Artificial Pinus koraiensis plantation and Betula platyphylla Suk. scondary forest ΩEValue be respectively 0.95 and 0.87, γEFor pin cluster ratio, the γ of Artificial Pinus koraiensis plantationEFor
1.53, and the γ of Betula platyphylla Suk. scondary forestEFor 1.0.
The method that draws of α values is：α values are determined based on Photoshop softwares, using DHP software processes hemisphere photographss
Total LAI is obtained, total LAI includes xylem and blade, i.e. vegetation index, is designated as LAItotal, using in Photoshop softwares
Imitated badge instrument, the greenery in image are replaced with sky, only the xylem such as remaining trunk, then using DHP softwares again
Secondary process image, obtains wooden index W AI, according to formula α=WAI/LAItotalDraw α values；
ΩEIt is worth the method be：The data of each sampling point are gathered using TRAC instruments, and is obtained by itself software kit
The Ω of Artificial Pinus koraiensis plantation and Betula platyphylla Suk. scondary forestEValue；
γEIt is worth the method be：The γ of evergreen needle-leaved tree kind is determined by gathering sample branch method on the spotE, each evergreen needle-leaved tree
Kind three plants of sample trees are selected, every plant of sample tree is divided into by the height of tree, in, lower three height, then each highly 5-10 sample cluster of selection,
The ratio for accounting for the total basal area of all seeds according to the basal area of each seeds is weighted and obtains Artificial Pinus koraiensis plantation and white
The γ of birch scondary forestE。
Data determination period of the present invention is leaf area maximum period.
It is 127 ° to 130 ° of east longitude that leaf area maximum period is geographical position, during August at 46 ° to 49 ° of north latitude
Between.
The present invention has the effect that compared with prior art：Obtained by table 1, in Artificial Pinus koraiensis plantation, LAI-2000 is determined
Effective LAI averagely underestimate 40%, i.e. precision for 60% than true LAI, precision is substantially carried after the correction of this programme
Height, reaches 93%；As seen from Table 2, in Betula platyphylla Suk. scondary forest, effective LAI that LAI-2000 is determined averagely underestimates than true LAI
10% i.e. precision is 90%, and precision is also improved after the correction of this programme, reaches 97%.The method of the present invention is significantly
The certainty of measurement of leaf area index is improve, and the method is easily realized, it is time saving and energy saving, it is completely suitable for complicated tall and big crown canopy
The forest ecosystem of structure, and forest ecology will not be caused to bear and destroyed, the impact that concentration effect is produced is listed in
Within limit of consideration, it is considered to which comprehensively, the data obtained is true and reliable for scope.
Specific embodiment
Specific embodiment one：A kind of correction side of utilization LAI-2000 plant canopies analysis-e/or determining leaf area index
Method, including：
Effective LAI values are obtained using LAI-2000 plant canopy analysis-e/or determinings, L is designated ase, its method includes：
LAI-2000 plant canopies analyser makes inductive probe 1.3m from the ground in gathered data, and keeps level, to avoid operation
Personnel produce on gathered data to be affected to use 45 ° of top covers；Before and after data in collection sample ground, using LAI-2000 from sample ground
It is sky blank value that open field nearby determines five groups of data, to guarantee sample ground measured value standardization；Using data adopt
FV2200 software processes are used, zenith angle range is 1-3 rings, to avoid impact of the direct light to measured value, the choosing of gathered data time
Before and after cloudy day or sunrise and sunset.
Correction coefficient is obtained, the correction coefficient includes α, ΩEAnd γE, wherein α is the ratio that wooden index accounts for total LAI,
Total LAI includes xylem and blade, i.e. vegetation index, is designated as LAItotal, ΩEFor conglomeration index, for quantifying canopy water
Concentration effect on flat, γEFor pin cluster ratio, for quantifying the concentration effect in cluster in level；
According to formulaThe LAI numerical value after correction is drawn, L is designated as.
α value measurement methods：LAI is obtained using DHP software processes hemisphere photographsstotal；Using in Photoshop softwares
Imitated badge instrument, the greenery in image are replaced with sky, only the xylem such as remaining trunk, then using DHP softwares again
Secondary process image, obtains wooden index W AI；According to formula α=WAI/LAItotalDraw α values, Jing is determined, Artificial Pinus koraiensis plantation and
Betula platyphylla Suk. scondary forest LAI maximum period when α meansigma methodss be respectively 0.03 and 0.04.
The data of each sampling point are gathered using TRAC instruments, and Artificial Pinus koraiensis plantation and Betula platyphylla Suk. are obtained by itself software kit
Scondary forest LAI maximum periods ΩEMeansigma methodss, Jing determine Artificial Pinus koraiensis plantation and Betula platyphylla Suk. scondary forest LAI maximum period ΩEValue point
Wei 0.95 and 0.87.
The γ of evergreen needle-leaved tree kind is determined by gathering sample branch method on the spotE, each evergreen needle-leaved tree kind three plants of sample tree of selection,
Every plant of sample tree is divided into by the height of tree, in, lower three height, then each height choose 5-10 sample cluster, according to the breast of each seeds
Maximum section of passenger flow product accounts for the ratio of the total basal area of all seeds and is weighted the average γ for obtaining Artificial Pinus koraiensis plantationE, Jing determines little
The γ of Xing'an Mountains area evergreen needle-leaved tree kindEScope is 1.04-1.90, thus obtains the average γ of Artificial Pinus koraiensis plantationEFor 1.53,
And Betula platyphylla Suk. scondary forest major part seeds are deciduous species, therefore its average γEFor 1.0.
Data estimation period of the present invention is leaf area maximum period.
The inventive method is used for the geographical position of Artificial Pinus koraiensis plantation and Betula platyphylla Suk. scondary forest for 127 ° to 130 ° of east longitude, north latitude
Between 46 ° to 49 °, the leaf area maximum period is time August of the geographical location.
The utilization the litter method determines Artificial Pinus koraiensis plantation and the LAI of Betula platyphylla Suk. scondary forest mainly includes two parts：For falling
Leaf deciduous species, the LAI that the LAI produced by the Litter leaf in fallen leaves season of adding up is obtained；For evergreen needle-leaved tree kind, first determine
The LAI that the Litter leaf of coniferous specieses is produced in 1 year, the Average Survival cycle for being then multiplied by needle obtains the total of coniferous specieses
The LAI of LAI, comprehensive fallen leaves and evergreen species is obtained the real LAI of whole standing forest, is designated as Lreal。
According to formula X1=(Lreal-Le)/Lreal× 100%, X2=(Lreal-L)/Lreal× 100% difference for calculating LAI
Rate, wherein X1For true LAI values LrealWith effective LAI values LeBetween variance rate, X2For true LAI values LrealAfter correction
Variance rate between LAI numerical value L, effective LAI values LePrecision be designated as Y1, the precision of the LAI numerical value L after correction is designated as Y2, Y1
=1-X1, Y2=1-X2。
Specific embodiment two：For Coniferous forest and broad-leaf forest, wooden index accounts for the ratio α value of total LAI can be by straight
Connection is determined.
Specific embodiment three：For broad-leaf forest, obtaining correction index α can utilize following methods, and its step is 1, profit
Obtained including total LAI of xylem and blade, i.e. vegetation index with DHP software processes hemisphere photographss, be designated as LAItotal；2、
Imitated badge instrument in using Photoshop softwares, the trunk in image is replaced with the non-trunk near it, is then utilized
DHP softwares process again the image, obtain the LAI of greenery generation, are designated as LAIgreen；3rd, according to following formula be obtained α=
(LAItotal-LAIgreen)/LAItotal。
The Artificial Pinus koraiensis plantation leaf area index measurement result of table 1.
The Betula platyphylla Suk. scondary forest leaf area index measurement result of table 2..
Claims (5)
1. a kind of bearing calibration of utilization plant canopy analysis-e/or determining leaf area index, is analyzed using LAI-2000 plant canopies
Instrument is determined and obtains LAI values, then according to formulaBe corrected, in formula, L be correction after LAI numerical value, Le
For the LAI numerical value before correction, it is characterised in that：α, Ω in formulaEAnd γEFor correction coefficient, wherein α accounts for total LAI for wooden index
Ratio, the value of Artificial Pinus koraiensis plantation and Betula platyphylla Suk. scondary forest α is respectively 0.03 and 0.04, ΩEFor conglomeration index, Artificial Pinus koraiensis plantation and
Betula platyphylla Suk. scondary forest ΩEValue be respectively 0.95 and 0.87, γEFor pin cluster ratio, the γ of Artificial Pinus koraiensis plantationEFor 1.53, and Betula platyphylla Suk. is secondary
The γ of woodsEFor 1.0；
The method that draws of α values is：
α values are determined based on Photoshop softwares, using DHP software processes hemisphere photographss total LAI, total LAI bags are obtained
Xylem and blade, i.e. vegetation index are included, LAI is designated astotal；
For broad-leaf forest, using Photoshop softwares in imitated badge instrument, by non-tree of the trunk in image near it
It is dry to replace, then the image is processed again using DHP softwares, the LAI of greenery generation is obtained, it is designated as LAIgreen, obtained according to following formula
To α=(LAItotal-LAIgreen)/LAItotal；
For non-broad-leaf forest, using Photoshop softwares in imitated badge instrument, the greenery in image are replaced with sky,
Only the xylem such as remaining trunk, using DHP softwares the image is processed again, obtains wooden index W AI, according to formula α=WAI/
LAItotalDraw α values.
2. a kind of bearing calibration of utilization plant canopy analysis-e/or determining leaf area index according to claim 1, its feature
It is：The measure and correction coefficient of the LAI values is all applied to leaf area maximum period.
3. a kind of bearing calibration of utilization plant canopy analysis-e/or determining leaf area index according to claim 2, its feature
It is：Methods described is applied to Artificial Pinus koraiensis plantation and Betula platyphylla Suk. scondary forest, and geographical position is 127 ° to 130 ° of east longitude, and 46 ° of north latitude is extremely
Between 49 °, the leaf area maximum period is time August of the geographical location.
4. a kind of bearing calibration of utilization plant canopy analysis-e/or determining leaf area index according to claim 1, its feature
It is：ΩEIt is worth the method be：The data of each sampling point are gathered using TRAC instruments, and people is obtained by itself software kit
The Ω of work Korean pine forest and Betula platyphylla Suk. scondary forestEValue.
5. a kind of bearing calibration of utilization plant canopy analysis-e/or determining leaf area index according to claim 1, its feature
It is：γEIt is worth the method be：The γ of Artificial Pinus koraiensis plantation and all sorts of flowers scondary forest seeds is determined by gathering sample branch method on the spotE, often
Three plants of sample trees of individual leaf Tree Species Selection, every plant of sample tree is divided into by the height of tree, in, lower three height, then each height choose 5-10
Individual sample cluster, the ratio for accounting for the total basal area of all seeds according to the basal area of each seeds is weighted and obtains artificial Pinus koraiensis
Woods and the γ of Betula platyphylla Suk. scondary forestEValue.
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| CN105371789B (en) * | 2015-10-09 | 2019-02-19 | 南京大学 | A method of utilizing airborne laser point cloud computing effective leaf area index |
| CN111798509B (en) * | 2020-06-22 | 2021-12-10 | 电子科技大学 | Method for measuring leaf area index based on hemispherical image method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102778212A (en) * | 2012-08-02 | 2012-11-14 | 浙江大学 | Method and device for utilizing digital camera to obtain rice canopy leaf area index |
| CN102829739A (en) * | 2012-08-21 | 2012-12-19 | 北京农业信息技术研究中心 | Object-oriented remote sensing inversion method of leaf area index of crop |
| CN102878957A (en) * | 2012-09-26 | 2013-01-16 | 安徽大学 | Leaf area index and chlorophyll content inversion method based on remote sensing image optimization PROSAIL model parameters |
| CN102997871A (en) * | 2012-11-23 | 2013-03-27 | 南京大学 | Method for inverting effective leaf area index by utilizing geometric projection and laser radar |
| CN103278112A (en) * | 2013-05-17 | 2013-09-04 | 中国科学院对地观测与数字地球科学中心 | Leaf area index inversion method and device based on remote sensing images |
| CN103791861A (en) * | 2014-02-10 | 2014-05-14 | 黑龙江省森林与环境科学研究院 | Plant leaf area lossless measuring method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007171033A (en) * | 2005-12-22 | 2007-07-05 | Univ Nagoya | Indirect measuring method and system of leaf area index |
-
2014
- 2014-11-25 CN CN201410686003.5A patent/CN104330058B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102778212A (en) * | 2012-08-02 | 2012-11-14 | 浙江大学 | Method and device for utilizing digital camera to obtain rice canopy leaf area index |
| CN102829739A (en) * | 2012-08-21 | 2012-12-19 | 北京农业信息技术研究中心 | Object-oriented remote sensing inversion method of leaf area index of crop |
| CN102878957A (en) * | 2012-09-26 | 2013-01-16 | 安徽大学 | Leaf area index and chlorophyll content inversion method based on remote sensing image optimization PROSAIL model parameters |
| CN102997871A (en) * | 2012-11-23 | 2013-03-27 | 南京大学 | Method for inverting effective leaf area index by utilizing geometric projection and laser radar |
| CN103278112A (en) * | 2013-05-17 | 2013-09-04 | 中国科学院对地观测与数字地球科学中心 | Leaf area index inversion method and device based on remote sensing images |
| CN103791861A (en) * | 2014-02-10 | 2014-05-14 | 黑龙江省森林与环境科学研究院 | Plant leaf area lossless measuring method |
Non-Patent Citations (3)
| Title |
|---|
| Optical and litter collection methods for measuring leaf area index in an old-growth temperate forest in northeastern China;戚玉娇等;《Journal of Forest Research》;20131231;第18卷(第5期);第430-439页 * |
| 利用直接法和间接法测定针阔混交林叶面积指数的季节动态;刘志理等;《植物生态学报》;20140831;第38卷(第8期);第845页左栏第1-3段 * |
| 小兴安岭三种林型叶面积指数的估测;刘志理;《中国优秀硕士学位论文全文数据库 农业科技辑》;20130115(第1期);摘要、第3第1-3段、第6页第1-6段、第7页第1-3段 * |
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