CN108344400A - A kind of horizontal normal case photography imagery measures the technical method of Forest Disaster state distribution - Google Patents
A kind of horizontal normal case photography imagery measures the technical method of Forest Disaster state distribution Download PDFInfo
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- CN108344400A CN108344400A CN201710054328.5A CN201710054328A CN108344400A CN 108344400 A CN108344400 A CN 108344400A CN 201710054328 A CN201710054328 A CN 201710054328A CN 108344400 A CN108344400 A CN 108344400A
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- tree
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- seeds
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/04—Interpretation of pictures
Abstract
The invention discloses the technical methods that a kind of horizontal normal case photography imagery measures the distribution of Forest Disaster state.The technology selects suitable camera as capture apparatus first, as unit of bottom class, horizontal normal case photography is carried out to each bottom class in damaged forest, and its diameter of a cross-section of a tree trunk 1.3 meters above the ground is surveyed respectively to trees in shooting photo, then remembered by photograph and count the wooden serial number, seeds, the diameter of a cross-section of a tree trunk 1.3 meters above the ground and mined grade, numerical expression is finally applied to calculate separately out the strain tree density and accumulation of different tree species, different mined grades, total strain tree density N and total accumulation M and different mined grades account for the percentage of total strain number density and total accumulation respectively.
Description
One, technical field
The present invention relates to a kind of technical method of measurement Forest Disaster state distribution, especially a kind of horizontal normal case photography shadows
Technical method as measuring the distribution of Forest Disaster state.
Two, technical background
Traditional technical method for measuring the distribution of Forest Disaster state, be by forest sample carrying out Investigation for per wood, it is interior
Field operation inspection the needs such as calculates and spends a large amount of manpower and materials, but also can cause that working efficiency is low, precision is low, statistics is not complete
The problems such as face.But it with the rapid development of photogrammetric technology in recent years, is shot in forest sample using camera, just
It can quickly determine the state distribution of aggrieved trees so that it is simple and efficient, and also real-time is high, and there has also been very on data acquisition
Big progress.Therefore, the present invention is exactly to propose in this context.
Three, invention content
It is lacked to improve that traditional Forest Disaster distribution estimating techniques precision is low, real-time is poor and data acquisition is difficult etc.
Point, the purpose of the invention is to provide a kind of technology measuring the distribution of Forest Disaster state by horizontal normal case photography imagery
Method.
The object of the present invention is achieved like this：
(1) as unit of bottom class, horizontal normal case photography (note focal length is f) is carried out to each bottom class in damaged forest, and
Its diameter of a cross-section of a tree trunk 1.3 meters above the ground d is surveyed respectively to trees in shooting photoijWith counting i；
(2) classify to damaged forest：Note disease is A；Insect pest is B；Wild animal is C；Meteorology is D；And it is right respectively
It is classified per one kind extent of injury, is slightly level-one, moderate is two level, is seriously three-level, does not control as level Four；
(3) trees in captured photo are measured, the wooden serial number i of note counting (i=1,2 ... n), seeds are j (needles
Leaf remembers that j=1, broad-leaved remember j=2), diameter of a cross-section of a tree trunk 1.3 meters above the ground dij, (level-one remembers that K=1, two level remember that k=2, three-level remember k=3, level Four note to aggrieved classification K
K=4) and every grade of aggrieved tree is P (P1It is denoted as aggrieved tree of level-one, P2For aggrieved tree of two level, P3For aggrieved tree of three-level, P4
For aggrieved tree of level Four)；Using the radius R of photograph captured by numerical expression 1. R=3500f calculating；2. using numerical expressionThe strain tree density N of aggrieved k grades of count wood j seedsijk, wherein β is captured photograph
Central angle；Using numerical expression 3. Vj=ajdij bjCalculate the j class higher volumes of timber, wherein aj, bjFor unitary volume of timber system known to j seeds
Number；4. using numerical expressionAggrieved k grades of the accumulation of count wood j seeds；5. using numerical expressionIt calculates
Count the total accumulation of wood j seeds；6. using numerical expressionThe total strain tree density of count wood j seeds；Using
Numerical expression is 7.The strain tree density of aggrieved k grades of count wood j seeds accounts for the percentage of total strain tree density；8. using numerical expressionAggrieved k grades of the accumulation of count wood j seeds accounts for the percentage of total accumulation；
(4) the strain tree density N of different tree species j, four mined grade k are countedijkWith accumulation Mijk, total strain tree density
N and total accumulation M and different mined grades account for total strain number density Q respectively1With the percentage Q of total accumulation2, correct to realize
Measurement Forest Disaster state distribution.
This invention has the following advantages：
1, easily operated, it takes short；
2, easy, precision height is calculated；
3, it is low that funds are estimated, are manually measured small；
Four, it illustrates
Fig. 1 is photograph schematic diagram captured by sample ground；
Fig. 2 is the table example of each seeds different parameters；
Five, specific implementation mode
A kind of technical method that horizontal normal case photography imagery measurement Forest Disaster state is distributed and original measurement forest calamity
The method of evil state distribution is compared, and has been made to be extremely improved and innovated in operating method and on calculating, following combination attached drawing is to this
Invention specific implementation is described in further detail：
(1) as unit of bottom class, horizontal normal case photography (note focal length is f) is carried out to each bottom class in damaged forest, and
Its diameter of a cross-section of a tree trunk 1.3 meters above the ground d is surveyed respectively to trees in shooting photoijWith counting i；
(2) classify to damaged forest：Note disease is A；Insect pest is B；Wild animal is C；Meteorology is D；And it is right respectively
It is classified per one kind extent of injury, is slightly level-one, moderate is two level, is seriously three-level, does not control as level Four；
(3) trees in captured photo are measured, the wooden serial number i of note counting (i=1,2 ... n), seeds are j (needles
Leaf remembers that j=1, broad-leaved remember j=2), diameter of a cross-section of a tree trunk 1.3 meters above the ground dij, (level-one remembers that K=1, two level remember that k=2, three-level remember k=3, level Four note to aggrieved classification K
K=4) and every grade of aggrieved tree is P (P1It is denoted as aggrieved tree of level-one, P2For aggrieved tree of two level, P3For aggrieved tree of three-level, P4
For aggrieved tree of level Four)；Using the radius R of photograph captured by numerical expression 1. R=3500f calculating；2. using numerical expressionThe strain tree density N of aggrieved k grades of count wood j seedsijk, wherein β is captured photograph
Central angle；Using numerical expression 3. Vj=ajdij bjCalculate the j class higher volumes of timber, wherein aj, bjFor unitary volume of timber system known to j seeds
Number；4. using numerical expressionAggrieved k grades of the accumulation of count wood j seeds；5. using numerical expressionMeter
Calculate and counts the total accumulation of wood j seeds；6. using numerical expressionThe total strain tree density of count wood j seeds；It answers
7. with numerical expressionThe strain tree density of aggrieved k grades of count wood j seeds accounts for the percentage of total strain tree density；8. using numerical expressionAggrieved k grades of the accumulation of count wood j seeds accounts for the percentage of total accumulation；
(4) the strain tree density N of different tree species j, four mined grade k are countedijkWith accumulation Mijk, total strain tree density
N and total accumulation M and different mined grades account for total strain number density Q respectively1With the percentage Q of total accumulation2, correct to realize
Measurement Forest Disaster state distribution.
Claims (1)
1. a kind of horizontal normal case photography imagery measures the technical method of Forest Disaster state distribution, it is characterized in that：
(1) as unit of bottom class, horizontal normal case photography (note focal length is f) is carried out to each bottom class in damaged forest, and to clapping
It takes the photograph trees in photo and surveys its diameter of a cross-section of a tree trunk 1.3 meters above the ground d respectivelyij；
(2) classify to damaged forest：Note disease is A；Insect pest is B；Wild animal is C；Meteorology is D；And respectively to each
Class extent of injury is classified, and is slightly level-one, and moderate is two level, is seriously three-level, is not controlled as level Four；
(3) trees in captured photo are measured, the wooden serial number i of note counting (i=1,2 ... n), seeds are that j (remember by needle
J=1, broad-leaved remember j=2), diameter of a cross-section of a tree trunk 1.3 meters above the ground dij, (level-one remembers that K=1, two level remember that k=2, three-level remember that k=3, level Four remember k=to aggrieved classification K
4) and every grade of aggrieved tree is P (P1It is denoted as aggrieved tree of level-one, P2For aggrieved tree of two level, P3For aggrieved tree of three-level, P4For
Aggrieved tree of level Four)；Using the radius R of photograph captured by numerical expression 1. R=3500f calculating；2. using numerical expression(/hm2) aggrieved k grades of count wood j seeds strain tree density Nijk, wherein β is captured photograph
Central angle；Using numerical expression 3. Vj=ajdij bjCalculate the j class higher volumes of timber, wherein aj, bjFor unitary volume of timber system known to j seeds
Number；4. using numerical expressionAggrieved k grades of the accumulation of count wood j seeds；5. using numerical expressionMeter
Calculate and counts the total accumulation of wood j seeds；6. using numerical expressionThe total strain tree density of count wood j seeds；It answers
7. with numerical expressionThe strain tree density of aggrieved k grades of count wood j seeds accounts for the percentage of total strain tree density；8. using numerical expressionAggrieved k grades of the accumulation of count wood j seeds accounts for the percentage of total accumulation；
(4) the strain tree density N of different tree species j, four mined grade k are countedijkWith accumulation Mijk, total strain tree density N and
Total accumulation M and different mined grades account for total strain number density Q respectively1With the percentage Q of total accumulation2, correctly surveyed to realize
Determine the distribution of Forest Disaster state.
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| CN201710054328.5A CN108344400B (en) | 2017-01-22 | 2017-01-22 | Technical method for measuring forest disaster state distribution by horizontal upright photographic image |
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| JP3865764B1 (en) * | 2006-08-15 | 2007-01-10 | アルスマエヤ株式会社 | Forest resource survey method and forest resource survey apparatus |
| CN103268613A (en) * | 2013-05-28 | 2013-08-28 | 北京林业大学 | Method for detecting sub-compartment forest resource by remote sensing and geographical information system technology |
| CN104075695A (en) * | 2014-07-11 | 2014-10-01 | 北京林业大学 | Method for observing forest from long distance by super-long focal length camera |
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| CN105260788A (en) * | 2015-09-18 | 2016-01-20 | 北京林业大学 | Optimal running configuration method for best tree diameter class density of uneven-aged and mixed forest |
| CN105894178A (en) * | 2016-03-24 | 2016-08-24 | 北京林业大学 | Afforestation operation method for optimal rotation of timber plantation |
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