CN104089922A - Method for estimating dry matter weight of fresh leaf - Google Patents
Method for estimating dry matter weight of fresh leaf Download PDFInfo
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- CN104089922A CN104089922A CN201410314497.4A CN201410314497A CN104089922A CN 104089922 A CN104089922 A CN 104089922A CN 201410314497 A CN201410314497 A CN 201410314497A CN 104089922 A CN104089922 A CN 104089922A
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Abstract
The invention discloses a method which is used for estimating the dry matter weight of a fresh leaf and is capable of improving the field measurement efficiency. The method can measure the dry matter weight of corresponding leaf simply by measuring the spectrum absorptivity x of the fresh leaf at any band in a spectral band range from 760nm to 900nm and substituting the spectrum absorptivity x into a formula being y=A1*exp*(-x/t1)+y0. The method is simple to operate, can quickly estimate the dry matter weight of the leaf and overcomes the shortcomings of complication, time and labor wasting and the like in traditional measurement of the dry matter weight of the leaf, and thus the field measurement efficiency is improved; meanwhile, according to the method, field measurement can be performed without changing the leaf biochemical composition or damaging the leaf structure, influence on the measurement result caused by the change of the leaf biochemical composition in traditional sampling and drying measurement can be avoided, the measurement accuracy is improved, and the method is suitable for being popularized and applied in the technical field of leaf biochemical composition content measurement.
Description
Technical field
The present invention relates to blade biochemical component assay technical field, be specifically related to a kind of method of estimating fresh leaves dry matter weight.
Background technology
Forest fire is a kind of sudden strong, destructive large, comparatively disaster of difficulty of relief that has.Ended for the end of the year 2010,7723 forest fire (22 of fire disasters of the domestic generation of China, 4 of wildfires), 116.2 thousand hectares of the scene of a fire total areas, 45.8 thousand hectares of burned areas, loss is grown into forest and is accumulated 740099.36 cubic metres, 29227.5 ten thousand strains of young growth strain number, because calamity causes 65 people's death, 43 people injured.
The water percentage of vegetation blade is to affect the key factor that forest fire occurs, and its computing formula is that unit area leaf water content is divided by dry matter weight.Vegetation dry matter weight of leaf weight is simply the weight (g/cm that removes leaf water rear blade unit area
2).This parameter is lighted the propagation rate after probability and fire generation for indirect calculation vegetation, and evaluation forest fire generation potential risk is had to important practical significance.The step of traditional measurement vegetation dry matter weight of leaf weight is: the first-selected vegetation blade area of measuring, then in baking box, dry and measure its weight, and finally obtain this parameter of dry matter weight of leaf weight by this weight divided by leaf area.As can be seen here, this measuring method need be carried out blade sampling, destroy blade construction, comparatively loaded down with trivial details and waste time and energy, in addition the measuring error of actual measurement process Leaf area and dry weight is inevitable on the one hand, on the other hand from sampling on the spot laboratory measurement process, the change of blade biochemistry group branch, finally affects the measuring accuracy of dry matter weight of leaf weight.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of method of the estimation fresh leaves dry matter weight that can improve field survey efficiency.
The present invention solves the problems of the technologies described above adopted technical scheme: the method for this estimation fresh leaves dry matter weight, comprise the following steps: first, record the spectral absorption x of fresh leaves any wave band within the scope of spectral band 760-900nm, then bring the blade absorptivity x recording into following formula and can record fresh leaves dry matter weight y, described formula is: y=A1*exp (x/t1)+y0, wherein A1 value is 0.0989～0.02498, t1 value is-2.40432～-0.33885, and y0 value is-0.278～-0.0281.
Further, described spectral absorption x is that 830nm place records at spectral band.
Further, described A1 value is 0.02919.
Further, described t1 value is-0.37279.
Further, described y0 value is-0.03276.
Beneficial effect of the present invention: method and the traditional measurement dry matter weight of leaf weight of estimation fresh leaves dry matter weight of the present invention are loaded down with trivial details, the method wasting time and energy and easily produce measuring error is compared, method of the present invention only need record the spectral absorption x of fresh leaves any wave band within the scope of spectral band 760-900nm, then carry it in formula y=A1*exp (x/t1)+y0, can record corresponding dry matter weight of leaf weight, the method is simple to operate, can estimate fast dry matter weight value in blade, overcome traditional measurement dry matter weight of leaf weight loaded down with trivial details, the shortcoming such as waste time and energy, thereby improve field measurement efficiency, and the method can carry out field survey in the situation that not changing blade biochemical component and not destroying blade construction, the impact of the variation of avoiding tradition to sample drying measuring Leaf biochemical component on measurement result, improves the degree of accuracy of measuring.
Embodiment
At present, in order to record vegetation dry matter weight of leaf weight, be all first to measure vegetation blade area, then in baking box, dry and measure its weight, finally obtain this parameter of dry matter weight of leaf weight by this weight divided by leaf area.This measuring method need be carried out blade sampling, destroys blade construction, and the time that baking need to be a large amount of, and the comparatively trouble of weighing also, wastes time and energy.Meanwhile, this measuring method is inevitable in the measuring error of measuring process Leaf area and dry weight, and measurement effect is poor; In addition, from sampling on the spot laboratory measurement process, the change of blade biochemistry group branch, finally affects the measuring accuracy of dry matter weight of leaf weight, cannot accomplish field survey, and measurement result degree of accuracy is lower.In order to address the above problem, the invention provides a kind of method that can improve fresh leaves dry matter weight field survey efficiency.Specifically, the method of this estimation fresh leaves dry matter weight, comprise the following steps: first, record the spectral absorption x of fresh leaves any wave band within the scope of spectral band 760-900nm, then bring the blade absorptivity x recording into following formula and can record fresh leaves dry matter weight y, described formula is: y=A1*exp (x/t1)+y0, and wherein A1 value is 0.0989～0.02498, t1 value is-2.40432～-0.33885, and y0 value is-0.278～-0.0281.
Method and the traditional measurement dry matter weight of leaf weight of estimation fresh leaves dry matter weight of the present invention are loaded down with trivial details, the method wasting time and energy and easily produce measuring error is compared, method of the present invention only need record the spectral absorption x of fresh leaves any wave band within the scope of spectral band 760-900nm, then carry it in formula y=A1*exp (x/t1)+y0, can record corresponding dry matter weight of leaf weight, the method is simple to operate, can estimate fast dry matter weight value in blade, overcome traditional measurement dry matter weight of leaf weight loaded down with trivial details, the shortcoming such as waste time and energy, thereby improve field measurement efficiency, and the method can carry out field survey in the situation that not changing blade biochemical component and not destroying blade construction, the impact of the variation of avoiding tradition to sample drying measuring Leaf biochemical component on measurement result, improves the degree of accuracy of measuring.
Above-mentioned formula can, by the blade absorptivity in 760-900nm spectral range according to PROSPECT modeling dry matter weight of leaf weight, draw a large amount of data, then carries out exponential fitting and forms.In order to improve estimation precision, described spectral absorption x is that 830nm place records at spectral band, and further, described A1 value is preferably 0.02919, and described t1 value is preferably-0.37279, and described y0 value is preferably-0.03276.The formula of being determined by above-mentioned parameter determines that after checking the coefficient of determination R2 of this formula is 0.91, estimation precision ± 0.0034g/cm
2wherein, coefficient of determination equals regression sum of square at the total shared ratio of total sum of squares, be regression equation the number percent of construable dependent variable variability, coefficient of determination more approaches 1, independent variable is higher to the explanation degree of dependent variable, and the number percent that the variation that independent variable causes accounts for total variation is high, and observation point is more intensive near regression straight line; Estimation precision refers to the error between estimator and actual value, and from above-mentioned numerical value, the degree of accuracy of this formula is higher, and estimation effect is better.
Claims (5)
1. estimate the method for fresh leaves dry matter weight for one kind, it is characterized in that comprising the following steps: first, record the spectral absorption x of fresh leaves any wave band within the scope of spectral band 760-900nm, then bring the blade absorptivity x recording into following formula and can record fresh leaves dry matter weight y, described formula is: y=A1*exp (x/t1)+y0, wherein A1 value is 0.0989～0.02498, t1 value is-2.40432～-0.33885, and y0 value is-0.278～-0.0281.
2. the method for estimation fresh leaves dry matter weight as claimed in claim 1, is characterized in that: described spectral absorption x is that 830nm place records at spectral band.
3. the method for estimation fresh leaves dry matter weight as claimed in claim 2, is characterized in that: described A1 value is 0.02919.
4. the method for estimation fresh leaves dry matter weight as claimed in claim 3, is characterized in that: described t1 value is-0.37279.
5. the method for estimation fresh leaves dry matter weight as claimed in claim 4, is characterized in that: described y0 value is-0.03276.
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| CN201410314497.4A CN104089922B (en) | 2014-07-03 | 2014-07-03 | A kind of method estimating fresh leaves dry matter weight |
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| CN104089922B CN104089922B (en) | 2016-08-31 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106124450A (en) * | 2016-06-16 | 2016-11-16 | 浙江大学 | The assay method of awns platymiscium dry matter weight of leaf |
| CN109856139A (en) * | 2019-01-07 | 2019-06-07 | 北京林业大学 | Tree Blades quantity estimating and measuring method and system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN103592230A (en) * | 2013-10-30 | 2014-02-19 | 浙江大学 | Detection method of dry matter contents in tea |
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2014
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN103592230A (en) * | 2013-10-30 | 2014-02-19 | 浙江大学 | Detection method of dry matter contents in tea |
Non-Patent Citations (3)
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|---|
| 王磊等: "基于光谱理论的作物营养诊断研究进展", 《植物营养与肥料学报》, vol. 12, no. 6, 31 December 2006 (2006-12-31), pages 902 - 912 * |
| 蔡博峰等: "基于PROSPECT+SAIL模型的遥感叶面积指数反演", 《国土资源遥感》, no. 72, 15 June 2007 (2007-06-15), pages 39 - 43 * |
| 行敏锋等: "干旱区草原地上植被生物量估算——以乌图美仁大草原芦苇植被为例", 《地球信息科学学报》, vol. 16, no. 2, 31 March 2014 (2014-03-31), pages 335 - 340 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106124450A (en) * | 2016-06-16 | 2016-11-16 | 浙江大学 | The assay method of awns platymiscium dry matter weight of leaf |
| CN109856139A (en) * | 2019-01-07 | 2019-06-07 | 北京林业大学 | Tree Blades quantity estimating and measuring method and system |
| CN109856139B (en) * | 2019-01-07 | 2021-08-06 | 北京林业大学 | Tree leaf quantity estimation method and system |
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| CN104089922B (en) | 2016-08-31 |
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