CN103208028A - Waterfowl habitat suitability evaluation method based on combination of remote sensing and geographical information system (GIS) - Google Patents
Waterfowl habitat suitability evaluation method based on combination of remote sensing and geographical information system (GIS) Download PDFInfo
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- CN103208028A CN103208028A CN2013101253722A CN201310125372A CN103208028A CN 103208028 A CN103208028 A CN 103208028A CN 2013101253722 A CN2013101253722 A CN 2013101253722A CN 201310125372 A CN201310125372 A CN 201310125372A CN 103208028 A CN103208028 A CN 103208028A
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Abstract
The invention discloses a waterfowl habitat suitability evaluation method based on the combination of remote sensing and a geographical information system (GIS), relates to the wetland ecological environment evaluation and protection technology, and aims to provide an efficient waterfowl habitat suitability evaluation method. The method comprises the following steps of: 1, acquiring and preprocessing original remote sensing and geographical basic data; 2, analyzing the relation between a waterfowl habitat and the environment; 3, analyzing the influence degree of each wetland waterfowl habitat suitability evaluation index on the waterfowl habitat, and determining the weight of each wetland waterfowl habitat suitability evaluation index according to a level analysis method; 4, obtaining waterfowl habitat suitability evaluation index values through the spatial analysis technology, and dividing the waterfowl habitat suitability evaluation index values according to the level; 5, obtaining final spatial distribution of waterfowl habitat suitability by adopting the GIS spatial analysis and superposition technology; and 6, acquiring accurate positions of a waterfowl nest site and a rest site, and verifying the waterfowl habitat suitability evaluation result. The method is applied in the field of waterfowl habitat suitability evaluation.
Description
Technical field
The present invention relates to Wetland ecological environmental evaluation and resist technology, particularly relate to a kind of aquatic bird habitat suitability evaluation method that combines with GIS based on remote sensing.
Background technology
In recent years, ecologic environment stability obviously increases with the inharmonious degree of human social development, thereby cause a series of ecological environment problem, the habitat forfeiture that causes as nature and human factor and habitat fragmentationization have badly influenced the survival and development of wild animal.The wetland aquatic bird is ingredient important in the wetlands ecosystems, has important effect to keeping stability of wetland system.But human high-intensity agricultural development makes the wetland environment be seriously damaged, and simultaneously, the living environment of wetland aquatic bird has also been caused huge pressure.Therefore, in order to recover stability of ecosystem, effectively protecting the wetland aquatic bird, in conjunction with the correlation analysis technology wetland aquatic bird habitat suitability is estimated and had great importance, also is one of focus of current research.
Summary of the invention
The present invention will provide a kind of aquatic bird efficiently habitat suitability evaluation method, thereby provides data support and scientific basis for planning, protection, management and the decision-making of wetland aquatic bird population and living environment thereof.
The aquatic bird habitat suitability evaluation method that combines with GIS based on remote sensing specifically may further comprise the steps:
One, original remote sensing and geographical basis data obtains and pre-service;
Two, the relation between analysis aquatic bird habitat and the environment is determined wetland aquatic bird habitat suitability evaluation index;
Three, analyze each wetland aquatic bird habitat suitability evaluation index to the influence degree of aquatic bird habitat, determine each wetland aquatic bird habitat suitability evaluation index weight according to analytical hierarchy process;
Four, based on the original remote sensing of the first step and geographical basis data, by the spatial analysis technology, obtain aquatic bird habitat suitability evaluation desired value, and according to grade classification;
Five, adopt GIS spatial analysis and superimposing technique, obtain the space distribution of final aquatic bird habitat suitability;
Six, last, by open-air on-site inspection, obtain aquatic bird nest location and rest the exact position on ground, the suitability evaluation result verifies to the aquatic bird habitat.
The invention effect:
The present invention can realize the evaluation of regional aquatic bird habitat suitability efficiently, thereby for the wetland recovery and optimization in zone, ecologic environment improves that Technical Reference is provided.
Description of drawings:
Fig. 1 is process flow diagram of the present invention;
Fig. 2 is aquatic bird habitat suitability evaluation result in the embodiment one; Wherein,
For being not suitable for grade,
Be suitability difference grade,
Be the general grade of suitability,
Be the good grade of suitability.
Embodiment
Embodiment one: present embodiment is described in conjunction with Fig. 1 and Fig. 2:
Selecting Technique in Western Jilin Province is that the Experimental Area is analyzed, and aquatic bird habitat suitability in 2010 in the zone is estimated:
One, obtaining and pre-service of original remote sensing and geographical basis data:
The land use datas in 2010, dem data and the TM remote sensing image data that mainly comprise Technique in Western Jilin Province;
Pre-service mainly is to extract river, lake, road and residential area vector data from land use data, by the gradient of dem data extraction Technique in Western Jilin Province, adopts the operation of TM remote sensing image to obtain NDVI;
Two, according to wetland and aquatic bird to the habitat feature, by analyzing the relation between aquatic bird habitat and the environment, determine wetland aquatic bird habitat suitability evaluation index:
Choose water source situation (river and lake density), disturbed condition (road and residential area density), food in abundance degree (NDVI); And veil (gradient and soil utilization) is as the index factor of estimating;
Three, by analyzing each index to the influence degree of aquatic bird habitat, determine each index weight according to analytical hierarchy process:
The principle that adopts the expert to give a mark is determined the weight of each index factor;
Four, based on first step data, by the spatial analysis technology, obtain aquatic bird habitat suitability desired value, and according to grade classification:
Adopt the spatial analysis technology, by the Arcgis platform, obtain the value of each index factor, and it is carried out grade classification;
Five, adopt GIS spatial analysis and superimposing technique, obtain the space distribution of final aquatic bird habitat suitability:
On the basis of Data Management Analysis, according to the result of each desired value, adopt GIS spatial analysis and superimposing technique, finally obtain Technique in Western Jilin Province aquatic bird habitat suitability evaluation distribution of results as shown in Figure 2;
Six, by open-air on-site inspection, obtain aquatic bird nest location and rest ground the exact position, the suitability evaluation result verifies to the aquatic bird habitat, as shown in Figure 2.
In the present embodiment, original remote sensing and geographical basis data comprise land use data, dem data, river, lake, roading density data and TM (432) remote sensing image data;
Wherein, described land use data adopts the method for object-oriented classification to obtain, and mainly comprises two steps:
One, image is cut apart; Two, the setting of classifying rules;
Described dem data resolution is 30m;
Described river, lake, road vectors data are extracted from Technique in Western Jilin Province land use data in 2010 and are obtained.
The present embodiment effect:
By the enforcement of present embodiment, realized the evaluation of Technique in Western Jilin Province aquatic bird habitat suitability efficiently, the result of evaluation can be for the Technique in Western Jilin Province wetland recovers, ecologic environment improves and enforcement provides Technical Reference and decision support.
Embodiment two: what present embodiment and embodiment one were different is: the definite wetland aquatic bird habitat suitability evaluation index described in the step 2 is specially:
Selecting directly influences water source situation, disturbed condition, veil and the food in abundance degree of aquatic bird habitat as the one-level evaluation index;
Select river density, lake density as the secondary evaluation index of water source situation;
Selecting roading density, residential area density is the secondary evaluation index of disturbed condition;
Selecting the gradient and land use pattern is the secondary evaluation index of veil;
Select NDVI as the secondary evaluation index of food in abundance degree.Other step and parameter are identical with embodiment one.
Embodiment three: what present embodiment and embodiment two were different is: the NDVI computing method are:
NDVI=(NIR-R)/(NIR+R) formula (1)
Wherein, NIR is the near-infrared band of remote sensing image, and R is red wave band.Other step and parameter are identical with embodiment two.
Embodiment four: what present embodiment and embodiment three were different is: determine that according to analytical hierarchy process each wetland aquatic bird habitat suitability evaluation index weight is as shown in table 1 in the step 3:
Table 1 wetland aquatic bird habitat factor of influence weight table
Other step and parameter are identical with embodiment three.
Embodiment five: what present embodiment and embodiment four were different is: rank division method described in the step 4 is:
Under the ArcGIS9.3 data processing platform (DPP), utilize Line Density order to generate residential area, roading density respectively;
The NDVI value is more big, and the expression crop is more abundant, and the aquatic bird food source is more sufficient;
The screening effect in forest land was best during the soil utilized in the veil evaluation index, secondly was arable land, meadow, and bare area is the poorest;
The invasion possibility of the more big alien species of the gradient is more little, and screening effect is more good.Other step and parameter are identical with embodiment four.
Embodiment six: what present embodiment and embodiment five were different is: adopt GIS spatial analysis and superimposing technique in the step 5, obtain the space distribution of final aquatic bird habitat suitability, it is as follows to calculate principle,
Wherein, HSI is the suitability of wetland aquatic bird habitat; N is the number of evaluation index, and wi is the evaluation index weight, and f is the evaluation index calculated value.Other step and parameter are identical with embodiment five.
Embodiment seven: what present embodiment and embodiment six were different is: in the step 6 aquatic bird habitat suitability evaluation result is verified it is precision and the accuracy of the investigation sampling point checking evaluation result by on the spot.Other step and parameter are identical with embodiment six.
Claims (7)
1. aquatic bird habitat suitability evaluation method that combines with GIS based on remote sensing is characterized in that the aquatic bird habitat suitability evaluation method that combines with GIS based on remote sensing specifically may further comprise the steps:
One, original remote sensing and geographical basis data obtains and pre-service;
Two, the relation between analysis aquatic bird habitat and the environment is determined wetland aquatic bird habitat suitability evaluation index;
Three, analyze each wetland aquatic bird habitat suitability evaluation index to the influence degree of aquatic bird habitat, determine each wetland aquatic bird habitat suitability evaluation index weight according to analytical hierarchy process;
Four, based on the original remote sensing of the first step and geographical basis data, by the spatial analysis technology, obtain aquatic bird habitat suitability evaluation desired value, and according to grade classification;
Five, adopt GIS spatial analysis and superimposing technique, obtain the space distribution of final aquatic bird habitat suitability;
Six, last, by open-air on-site inspection, obtain aquatic bird nest location and rest the exact position on ground, the suitability evaluation result verifies to the aquatic bird habitat.
2. a kind of aquatic bird habitat suitability evaluation method that combines with GIS based on remote sensing according to claim 1 is characterized in that the definite wetland aquatic bird habitat suitability evaluation index described in the step 2 is specially:
Selecting directly influences water source situation, disturbed condition, veil and the food in abundance degree of aquatic bird habitat as the one-level evaluation index;
Select river density, lake density as the secondary evaluation index of water source situation;
Selecting roading density, residential area density is the secondary evaluation index of disturbed condition;
Selecting the gradient and land use pattern is the secondary evaluation index of veil;
Select NDVI as the secondary evaluation index of food in abundance degree.
3. a kind of aquatic bird habitat suitability evaluation method that combines with GIS based on remote sensing according to claim 2 is characterized in that the NDVI computing method are:
NDVI=(NIR-R)/(NIR+R) formula (1)
Wherein, NIR is the near-infrared band of remote sensing image, and R is red wave band.
4. a kind of aquatic bird habitat suitability evaluation method that combines with GIS based on remote sensing according to claim 3 is characterized in that determining that according to analytical hierarchy process each wetland aquatic bird habitat suitability evaluation index weight is as shown in table 1 in the step 3:
Table 1 wetland aquatic bird habitat factor of influence weight table
5. a kind of aquatic bird habitat suitability evaluation method that combines with GIS based on remote sensing according to claim 4 is characterized in that rank division method described in the step 4 is:
Under the ArcGIS9.3 data processing platform (DPP), utilize Line Density order to generate residential area, roading density respectively;
The NDVI value is more big, and the expression crop is more abundant, and the aquatic bird food source is more sufficient;
The screening effect in forest land was best during the soil utilized in the veil evaluation index, secondly was arable land, meadow, and bare area is the poorest; The invasion possibility of the more big alien species of the gradient is more little, and screening effect is more good.
6. a kind of aquatic bird habitat suitability evaluation method that combines with GIS based on remote sensing according to claim 5, it is characterized in that adopting in the step 5 GIS spatial analysis and superimposing technique, obtain the space distribution of final aquatic bird habitat suitability, it is as follows to calculate principle
Wherein, HSI is the suitability of wetland aquatic bird habitat; N is the number of evaluation index, and wi is the evaluation index weight, and f is the evaluation index calculated value.
7. a kind of aquatic bird habitat suitability evaluation method that combines with GIS based on remote sensing according to claim 6 is characterized in that in the step 6 aquatic bird habitat suitability evaluation result being verified it is precision and the accuracy of verifying evaluation result by investigation sampling point on the spot.
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Cited By (9)
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| CN104636876A (en) * | 2015-02-13 | 2015-05-20 | 湖南有色金属研究院 | Typical mine area heavy metal pollution soil ecological restoration technology evaluating method and system |
| CN106530170A (en) * | 2016-09-21 | 2017-03-22 | 环境保护部南京环境科学研究所 | Method for boundary optimization of regional ecological protection red line |
| CN107194160A (en) * | 2017-05-05 | 2017-09-22 | 合肥工业大学 | Recover analysis method in a kind of basin Marsh Wetland space |
| CN107292518A (en) * | 2017-06-21 | 2017-10-24 | 中国农业科学院农田灌溉研究所 | Topsoil index acquisition methods and device |
| CN108197829A (en) * | 2018-01-31 | 2018-06-22 | 东北林业大学 | A kind of Wetland Waterbirds group habitat suitability assessment technique |
| CN109711670A (en) * | 2018-11-23 | 2019-05-03 | 北京大学深圳研究生院 | A kind of management of Mangrove Wetlands birds and evaluation system |
| CN110348060A (en) * | 2019-06-13 | 2019-10-18 | 中国测绘科学研究院 | A kind of snow leopard Habitat suitability evaluation method and device |
| CN112348086A (en) * | 2020-11-06 | 2021-02-09 | 中国科学院西北生态环境资源研究院 | Species habitat quality simulation method based on multi-source data |
| CN116167630A (en) * | 2023-04-19 | 2023-05-26 | 昆明理工大学 | Computer automatic identification method for selecting pseudo-ginseng rotation suitability land block |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104636876A (en) * | 2015-02-13 | 2015-05-20 | 湖南有色金属研究院 | Typical mine area heavy metal pollution soil ecological restoration technology evaluating method and system |
| CN106530170A (en) * | 2016-09-21 | 2017-03-22 | 环境保护部南京环境科学研究所 | Method for boundary optimization of regional ecological protection red line |
| CN107194160A (en) * | 2017-05-05 | 2017-09-22 | 合肥工业大学 | Recover analysis method in a kind of basin Marsh Wetland space |
| CN107292518A (en) * | 2017-06-21 | 2017-10-24 | 中国农业科学院农田灌溉研究所 | Topsoil index acquisition methods and device |
| CN108197829A (en) * | 2018-01-31 | 2018-06-22 | 东北林业大学 | A kind of Wetland Waterbirds group habitat suitability assessment technique |
| CN109711670A (en) * | 2018-11-23 | 2019-05-03 | 北京大学深圳研究生院 | A kind of management of Mangrove Wetlands birds and evaluation system |
| CN110348060A (en) * | 2019-06-13 | 2019-10-18 | 中国测绘科学研究院 | A kind of snow leopard Habitat suitability evaluation method and device |
| CN112348086A (en) * | 2020-11-06 | 2021-02-09 | 中国科学院西北生态环境资源研究院 | Species habitat quality simulation method based on multi-source data |
| CN116167630A (en) * | 2023-04-19 | 2023-05-26 | 昆明理工大学 | Computer automatic identification method for selecting pseudo-ginseng rotation suitability land block |
| CN116167630B (en) * | 2023-04-19 | 2023-06-27 | 昆明理工大学 | Computer automatic identification method for selecting pseudo-ginseng rotation suitability land block |
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Application publication date: 20130717 |