CN107977765A - A kind of lake and marshland Landscape health status evaluation method based on remote Sensing Interpretation technology - Google Patents
A kind of lake and marshland Landscape health status evaluation method based on remote Sensing Interpretation technology Download PDFInfo
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Abstract
The present invention relates to a kind of lake and marshland Landscape health status evaluation method based on remote Sensing Interpretation technology.First, different year lake and marshland representativeness remote sensing image data is collected, the wetland landscape information based on Watershed Scale is extracted using remote Sensing Interpretation technology.Wetland landscape of the design comprising destination layer, rule layer and indicator layer successively polymerize index system on this basis.Then, utilize improved H (Analytic Hierarchy Process, AHP " 9/9 9/1 " scale) carries out the evaluation index of rule layer and indicator layer importance assignment and Calculation Estimation index weights, while carries out nondimensionalization processing to evaluation index initial data using extreme value method.Finally, each year lake and marshland landscape comprehensive health index is calculated, landscape comprehensive health index is subjected to health level threshold value delimitation, determines each year lake and marshland Landscape health state.The method of the present invention being capable of more adding system, comprehensive announcement Wetland Landscape Pattern's feature and its dynamic change.
Description
Technical field
The invention belongs to environmental protection technical field, is related to a kind of lake and marshland Landscape health based on remote Sensing Interpretation technology
Status evaluation method.
Background technology
Under Global climate change and the collective effect of mankind's activity interference, wetlands ecosystems degradation trend is increasingly tight
It is high.Important component of the landscape as the lake and marshland ecosystem, carries out lake and marshland Landscape health state evaluation, verifies and lead
The reason for causing lake and marshland landscape structure and function to degenerate, it is special for disclosing lake and marshland ecosystem health and its ecosystem
Sign and succession have indicative meaning.However, wetland distribution is extensive, wide variety, causes wetland agriculture content complexity various, comments
Valency method is various, has different evaluation methods for different evaluation object and purpose.Research is focused primarily upon to wet both at home and abroad
Ground evaluation on Ecosystem Health, by carrying out bio-diversity monitoring and investigation, mainly for four big biological groups, (bottom is dwelt no ridge
Vertebrate, fish, amphibian animal and birds) structure biological integrity index (index of biotic integrity, IBI), it is comprehensive
Close the health status of evaluation big lake wetlands ecosystems.
Important component of the landscape as wetlands ecosystems, is that wetland ecotourism provides habitat and food source.So
It is even more then to rarely have report to lake and marshland Landscape health assessment and current research is actually rare for wetland landscape health assessment
Road.Important component of the muskeg as wetland landscape, has been studied using comprehensive health index (Ecological
Health Comprehensive Index, EHCI) relevant report has been carried out to muskeg health assessment, and obtain preferable
Effect.
The content of the invention
It is an object of the present invention to using composite index method quantitative assessment lake and marshland Landscape health situation, for evaluation
Wetland ecosystem health provides a kind of new theory and technology approach, supplements and improve current lake and marshland ecosystem health
Evaluation index and method.
To achieve the above object, the present invention adopts the following technical scheme that：
A kind of lake and marshland Landscape health status evaluation method based on remote Sensing Interpretation technology, including：
(1) lake and marshland remote sensing image data source to be studied, extraction water body, vegetation, land and water transition region three classes lake are collected
Wetland landscape information, and further extraction six in three kinds of water body from extraction, vegetation, land and water transition region lake and marshland landscape information
Kind of the sub- landscape feature of wetland, including deep water area, shallow water area, dense careless beach face are long-pending, sparse careless beach face product, mud bank area and naked
Ground area；
(2) structure wetland landscape key element successively polymerize index system；Including destination layer, rule layer and indicator layer；
Wherein, the destination layer is lake and marshland comprehensive health index；
The rule layer is water body health status, vegetation health status and land and water transition region health status；
The indicator layer is deep water area, shallow water area, deep water area and shallow water area ratio, dense careless beach face is long-pending, sparse
Careless beach face is long-pending, ratio, mud bank area, bare area area, mud bank and bare area area ratio are accumulated in dense careless beach and sparse careless beach face；
(3) weight is carried out to the evaluation index of rule layer and indicator layer using the 9/9-9/1 scales of improved H
The property wanted assignment, and Calculation Estimation index weights；
(4) nondimensionalization processing, the number are carried out to the data of the indicator layer of extraction in step (1) using extreme value method
According to distribution situation and internal structure situation including each key element of indicator layer；
(5) lake and marshland Landscape health index is calculated according to comprehensive health index method EHCI；
(6) health level threshold value delimitation is carried out to lake and marshland landscape comprehensive health index to be studied, establishes wetland health
Composite index classification reference table, determines the health status of lake and marshland landscape different year to be studied.
The method of the present invention, the step (1) further include：To the remote sensing image data source of each scape different year of collection
Pre-processed, it is described to pre-process the geometric correction, data resampling and spatial reference for including remote sensing image.On the basis of this, root
According to the world《Wetland Convention》With《Classification System for Wetland Types in China》, with reference to wetland on-the-spot investigation situation and consider that remote sensing image can be sentenced
The property read principle, establishes the criteria for classification for being adapted to lake and marshland, and in combination with differently object light spectral curve feature, extraction water body, plant
Quilt, land and water transition region three classes lake and marshland landscape information.On the basis of three classes lake and marshland landscape is extracted, six are further extracted
Kind of the sub- landscape feature of wetland, including deep water area, shallow water area, dense careless beach face are long-pending, sparse careless beach face product, mud bank area and naked
Ground area.
The method of the present invention, the step (1) further include：Pass through loke shore ocean weather station observation, lake surface cruise fixed point sample investigation
Precision judgement is carried out to the remote sensing image information of extraction with the mode of sampling analysis on the spot.
The method of the present invention, the step (6) further includes, comprehensive to lake and marshland landscape to be measured using quartile interval method
Close health index and carry out health level threshold value delimitation.
The present invention is directed to lake and marshland, and structure wetland landscape key element successively polymerize index system, to the sub- landscape feature of wetland
New classifying and dividing has been carried out, and has been designed using deep water, shallow water, dense careless beach, sparse careless beach, mud bank and bare area area and area
Than being used as the indicator layer successively polymerizeing in index system, with reference to the 9/9-9/1 gradation calculations weights of improved H,
And subsequent evaluation processing is carried out, can be convenient, fast and relatively accurate to lake and marshland Landscape health status evaluation.In addition, this
The method of invention can more adding system, it is comprehensive disclose Wetland Landscape Pattern's feature and its dynamic change, in particular for basin ruler
The research object of scope is spent, importance assignment and definite weight are carried out to evaluation index using improved H, can
Make evaluation index objective and keep integrality, ensure the comprehensive and comprehensive of evaluation result.Using more objective in statistics
Quartile interval standard measure division lake and marshland health status, evaluation result can be made reliable and possess science.
In addition, the present invention makes result of study simple using comprehensive health index standard measure evaluation lake and marshland health status
Visualization and more convincingness, for scientific knowledge lake and marshland landscape situation and its dynamic change the reason for, have important reality
Meaning, helps to maintain the stabilization of lake and marshland ecologic structure and systemic-function, for the wetlands ecosystems based on Watershed Scale
Health status evaluation provides a kind of new theory support and technological approaches, has important ecological significance and realistic meaning.
Brief description of the drawings
Fig. 1 is that wetland landscape key element of the present invention successively polymerize index system schematic diagram.
Fig. 2 is embodiment 1 Poyang Lake Wetland classification result schematic diagram in 2010.
Embodiment
Embodiment is described further technical scheme by taking Poyang Lake as an example.
Embodiment 1
A kind of lake and marshland Landscape health status evaluation method based on remote Sensing Interpretation technology, including：
(1) Poyang Lake wetland remote sensing image data source, extraction water body, vegetation, land and water transition region three classes lake and marshland are collected
Landscape information, and further six kinds of extraction is wet in three kinds of water body from extraction, vegetation, land and water transition region lake and marshland landscape information
Background landscape feature, including deep water area, shallow water area, dense careless beach face are long-pending, sparse careless beach face product, mud bank area and bare area face
Product.Specific extraction information is as shown in Fig. 2, wherein shallow water, most shallow water are divided into shallow water；Aquatic vegetation, sparse careless beach are divided into dilute
Grass beach is dredged, sedge, reed are divided into dense careless beach；According to -2013 years 1989 remote sensing image data sources, six kinds of wetland are extracted
Landscape distribution area, as shown in table 1：
The sub- landscape distribution area (unit of 6 class wetland of Poyang Lake wetland that table 1 extracts：km2)
(2) structure wetland landscape key element successively polymerize index system；Including destination layer, rule layer and indicator layer；
Wherein, the destination layer is lake and marshland comprehensive health index；
The rule layer is water body health status, vegetation health status and land and water transition region health status；
The indicator layer is deep water area, shallow water area, deep water area and shallow water area ratio, dense careless beach face is long-pending, sparse
Careless beach face is long-pending, ratio, mud bank area, bare area area, mud bank and bare area area ratio are accumulated in dense careless beach and sparse careless beach face；
(3) weight is carried out to the evaluation index of rule layer and indicator layer using the 9/9-9/1 scales of improved H
The property wanted assignment, and Calculation Estimation index weights；
The original marking of the evaluation index of rule layer and indicator layer uses expert consulting, questionnaire survey and the three of Literature Consult
Comprehensive study means are combined to determine.
The new scale of 2 improved H of table and traditional scale contrast
By into association area the research method such as expert consulting, questionnaire survey and Literature Consult determine, the present embodiment
In the division of Poyang Lake wetland stratification of landscapes, 3 evaluation criterion weights of rule layer are 1/3；9 evaluation indexes power of indicator layer
It is 1/9 again.
(4) nondimensionalization processing, the number are carried out to the data of the indicator layer of extraction in step (1) using extreme value method
According to distribution situation and internal structure situation including each key element of indicator layer；
Nondimensionalization processing is carried out to data using extreme value method, the comparativity of result during ensureing comprehensive analysis, its
Calculation formula is：
Wherein, rijFor the nondimensionalization value of evaluation index i, xijIt is measured value of the i indexs in the j times；That is, rijEvaluation refers to
Mark measured value and the range of the difference of minimum value divided by the evaluation index (difference of maxima and minima), its value range is 0~
1。
1 initial data of table is substituted into calculation formula (1), obtains the dimensionless of the sub- landscape distribution area of 6 class Poyang Lake wetlands
Change value, as shown in table 3.
The nondimensionalization value of the sub- landscape distribution area of 36 class Poyang Lake wetland of table
(5) lake and marshland Landscape health index is obtained according to comprehensive health index method calculation formula.
After the nondimensionalization value and index weights of each evaluation index determine, EHCI calculation formula are substituted into, you can try to achieve lake
Moor wetland comprehensive health index EHCI：
Wherein：W(CA)iFor the weight of evaluation index i, rijFor the nondimensionalization value of evaluation index i；EHCI values show more greatly
Wetland health degree is higher.
The nondimensionalization value of evaluation criterion weight and table 3 is substituted into calculation formula (2), tries to achieve each year of Poyang Lake wetland
Landscape comprehensive health index, as shown in table 4.
The Poyang Lake wetland Landscape health index (EHCI) in 4 each time of table
(6) health level threshold value is carried out to Poyang Lake wetland landscape comprehensive health index using quartile interval method to draw
It is fixed, establish the classification of wetland health composite index with reference to table, determine different year Poyang Lake wetland Landscape health state (extremely health,
Health, inferior health and disease).
After the statistical distribution of EHCI is considered, lake and marshland health level threshold value delimited using quartile interval method.
According to the classification of wetland health composite index is established with reference to table, determine that each time lake and marshland Landscape health state is (extremely healthy, strong
Health, inferior health and disease).
5 wetland health composite index of table is classified
| Classification | Healthy composite index | Health status | Wetland landscape state |
| I | EHCI ＜ Q1 | Disease | Total area is extremely unstable, and internal structure is extremely unreasonable |
| II | Q1≤EHCI≤Q2 | Inferior health | Total area is stablized relatively, and internal structure is relatively reasonable |
| III | Q2 ＜ EHCI≤Q3 | Health | Total area is stablized, reasonable in internal structure |
| IV | EHCI ＞ Q3 | It is extremely healthy | Total area stabilizer pole, internal structure are extremely reasonable |
Indicate：Q1 is first quartile (Q1), also known as " smaller quartile ", equal to all EHCI numerical value tried to achieve by
It is small to the after longer spread the 25%th numeral.
Second quartile (Q2), also known as " median ", in being equal to after all ascending arrangements of EHCI numerical value tried to achieve
50%th numeral.
3rd quartile (Q3), also known as " larger quartile ", equal to all ascending rows of EHCI numerical value tried to achieve
75%th numeral after row.
According to the Poyang Lake wetland landscape comprehensive health index (EHCI) of table 4 as a result, trying to achieve Q1=26.74925, Q2=
31.98259 Q3=32.768.Therefore, the Poyang Lake wetland health in 26.74925 times of EHCI ＜ is in morbid state, time
Have 1989,1991 and 1996, amount to 3 years；The Poyang Lake wetland health in the time of 26.74925≤EHCI≤31.98259 is in
Sub-health state, time have 1995,1999,2001,2003 and 2008, amount to 5 years；31.98259 ＜ EHCI≤32.768 year
The Poyang Lake wetland health of part is in health status, and the time has 2004,2005 and 2013, amounts to 3 years；EHCI ＞ 32.768 years
The Poyang Lake wetland health of part is in pole health status, and the time has 2006,2007 and 2009, amounts to 3 years.
Claims (4)
- A kind of 1. lake and marshland Landscape health status evaluation method based on remote Sensing Interpretation technology, it is characterised in that including：(1) lake and marshland remote sensing image data source to be studied, extraction water body, vegetation, land and water transition region three classes lake and marshland are collected Landscape information, and further six kinds of extraction is wet in three kinds of water body from extraction, vegetation, land and water transition region lake and marshland landscape information Background landscape feature, including deep water area, shallow water area, dense careless beach face are long-pending, sparse careless beach face product, mud bank area and bare area face Product；(2) structure wetland landscape key element successively polymerize index system；Including destination layer, rule layer and indicator layer；Wherein, the destination layer is lake and marshland comprehensive health index；The rule layer is water body health status, vegetation health status and land and water transition region health status；The indicator layer is deep water area, shallow water area, deep water area and shallow water area ratio, dense careless beach face is long-pending, sparse careless beach Area, dense careless beach and sparse careless beach face product ratio, mud bank area, bare area area, mud bank and bare area area ratio；(3) importance is carried out to the evaluation index of rule layer and indicator layer using the 9/9-9/1 scales of improved H Assignment, and Calculation Estimation index weights；(4) nondimensionalization processing, the data packet are carried out to the data of the indicator layer of extraction in step (1) using extreme value method Include the distribution situation and internal structure situation of each key element of indicator layer；(5) lake and marshland Landscape health index is calculated according to comprehensive health index method EHCI；(6) health level threshold value delimitation is carried out to lake and marshland landscape comprehensive health index to be measured, establishes wetland health synthesis and refer to Number classification reference table, determines the health status of lake and marshland landscape different year to be studied.
- 2. according to the method described in claim 1, it is characterized in that, the step (1) further includes：It is different to each scape of collection The remote sensing image data source in time is pre-processed, it is described pre-process include the geometric correction of remote sensing image, data resampling and Spatial reference.
- 3. according to the method described in claim 1, it is characterized in that, the step (1) further includes：By loke shore ocean weather station observation, Lake surface cruise fixed point sample investigation and the mode of sampling analysis on the spot carry out precision judgement to the remote sensing image information of extraction.
- 4. according to the method described in claim 1, it is characterized in that, in the step (6), treated using quartile interval method Survey lake and marshland landscape comprehensive health index and carry out health level threshold value delimitation.
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Cited By (4)
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| CN109886067A (en) * | 2018-12-17 | 2019-06-14 | 北京师范大学 | Wetland is damaged remote sensing recognition method and device |
| CN113435698A (en) * | 2021-05-22 | 2021-09-24 | 江西省科学院微生物研究所 | Environmental health evaluation method for shallow lake type wetland |
| CN114782824A (en) * | 2022-06-16 | 2022-07-22 | 国家林业和草原局林草调查规划院 | Wetland boundary defining method and device based on interpretation mark and readable storage medium |
| CN115452759A (en) * | 2022-09-14 | 2022-12-09 | 水利部交通运输部国家能源局南京水利科学研究院 | River and lake health index evaluation method and system based on satellite remote sensing data |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109886067A (en) * | 2018-12-17 | 2019-06-14 | 北京师范大学 | Wetland is damaged remote sensing recognition method and device |
| CN109886067B (en) * | 2018-12-17 | 2021-05-14 | 北京师范大学 | Wetland damage remote sensing identification method and device |
| CN113435698A (en) * | 2021-05-22 | 2021-09-24 | 江西省科学院微生物研究所 | Environmental health evaluation method for shallow lake type wetland |
| CN114782824A (en) * | 2022-06-16 | 2022-07-22 | 国家林业和草原局林草调查规划院 | Wetland boundary defining method and device based on interpretation mark and readable storage medium |
| CN115452759A (en) * | 2022-09-14 | 2022-12-09 | 水利部交通运输部国家能源局南京水利科学研究院 | River and lake health index evaluation method and system based on satellite remote sensing data |
| CN115452759B (en) * | 2022-09-14 | 2023-08-22 | 水利部交通运输部国家能源局南京水利科学研究院 | River and lake health index evaluation method and system based on satellite remote sensing data |
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