CN104914483A - Multi-source-observation-data-based quality evaluation method of ground wire of South Pole - Google Patents
Multi-source-observation-data-based quality evaluation method of ground wire of South Pole Download PDFInfo
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Abstract
The invention relates to a multi-source-observation-data-based quality evaluation method of a ground wire of the South Pole. The method comprises the following steps: (1), obtaining relative positions as well as qualitative and quantitative analysis evaluation indexes of ground wires of the South pole; (2), carrying out error classification based on an evaluation standard of the ground wire of the South pole and classifying differences among the ground wires into three parts: an acceptable error range, a rough difference existence range, and a ground wire change range; (3), analyzing the data of the ground wires of the South Pole by using an analytical method combining the South Pole altimetry data, an analytical method combining the digital elevation model of the South Pole, and an analytical method combining the multi-stage high-resolution remote-sensing image of the South Pole; and (4), outputting determination and results of the ground wires of the South Pole. Compared with the prior art, the qualitative and quantitative analysis evaluation indexes are determined for all South-Pole data and the errors are classified; and analyses are carried out based on combination with the altimetry data, the digital elevation model, and the multi-stage high-resolution remote-sensing image of the South Pole. Therefore, comprehensiveness and accuracy of quality evaluation are guaranteed.
Description
Technical field
The present invention relates to a kind of quality testing method, especially relate to a kind of South Pole ground wire quality evaluating method based on multi-source observation data.
Background technology
Ground wire refers to the boundary line of inland ice sheet and floating ice shelf, is the place that ice stream departs from sled.The position of ground wire calculates ice sheet material balance for us, and the dynamic (dynamical) numerical model of simulation ice sheet, the interaction between research ice and ocean is very important.In order to understand ground wire dynamic change further, we must have and accurately understand in earth wire position.In addition, the application of most of thalassography and glaciology also needs the accurate location of the ground wire known.The ground wire of the present invention's design comprises: MOA ground wire, is obtained by the image of visual interpretation Moderate Imaging Spectroradiomete (MODIS); ASAID ground wire, visual interpretation LIMA image, utilizes ICESat spot elevation to correct and obtains; InSAR ground wire, utilizes differential interferometry radar method to obtain; ICESat ground wire point, utilizes and repeats the acquisition of rail height anomaly.Limit owing to being subject to experiment condition, seldom South Pole ground wire evaluated.Field test method available is at present ground and airborne sounding, but area coverage is very little, can only evaluate among a small circle.
Summary of the invention
Object of the present invention be exactly in order to overcome above-mentioned prior art exist defect and a kind of South Pole ground wire quality evaluating method based on multi-source observation data is provided, both the precision of the original remotely-sensed data of ground wire product had been taken into full account, take into account again the feature of point, wire ground wire data, evaluation method has stronger operability, provides new thinking for solving ground wire quality assessment key issue.
Object of the present invention can be achieved through the following technical solutions:
A kind of South Pole ground wire quality evaluating method based on multi-source observation data, for the treatment of South Pole ground wire data, described South Pole ground wire data comprise MOA ground wire (from MODIS image), InSAR ground wire (from ERS-1/2, Radarsat-1/2, ALOS PALSAR data), ICESat ground wire (from ICESat laser-measured height data), ASAID ground wire is (from Landsat image, local is adjusted by ICESat), the method comprises the following steps:
1) South Pole ground wire relative position, quantification and qualification evaluation index is obtained;
2) carry out error classification according to South Pole ground wire evaluation criterion, the difference between ground wire is divided into and is in acceptable error scope, there is rough error and there is ground wire change;
3) adopt respectively survey the analytical approach of high data in conjunction with the South Pole, the analytical approach in conjunction with Antarctic Digital Elevation Model, the analytical approach in conjunction with the South Pole many phases high-resolution remote sensing image analyze further to South Pole ground wire data;
4) according to step 1), step 2) and step 3) export South Pole ground wire and judge and result.
Described relative position assay index is through rate analysis indexes, is specially: MOA ground wire and ASAID ground wire pass the percent of ICESat ground wire F point and I point;
Described qualitative analysis evaluation index is buffer zone analysis index, is specially: to MOA ground wire and ASAID ground wire, does 500 meters, 1000 meters, 2000 meters and 5000m buffer zone, calculates InSAR ground wire number wherein and percent;
Described quantitative analysis evaluation index is distance analysis index, is specially: calculate the distance of each InSAR ground wire point to MOA ground wire and ASAID ground wire, do statistical study.
Step 2) be specially:
201: according to error propagation formula, obtain the permissible error between MOA ground wire and InSAR ground wire data, between ASAID ground wire and InSAR ground wire data, meet following formula:
In formula, δ is the permissible error between two kinds of data, m
afor the positioning error of wherein a kind of data, m
bfor the positioning error of another kind of data;
202: South Pole ground wire evaluation criterion considers three times of standard deviations of three times of permissible errors and each basin ground wire difference simultaneously, if be less than three times of permissible errors, then two kinds of data are in acceptable error scope, if be greater than three times of standard deviations, then for there is rough error, if be greater than three times of permissible errors and be less than three times of standard deviations, then for there is ground wire change.
The described analytical approach surveying high data in conjunction with the South Pole is specially:
ICESat spot elevation cloud and CryoSAT-2 spot elevation cloud is used to survey high data as the South Pole, obtained by the radar altimeter of the ice sheet explorer satellite of the laser altimeter be mounted on ice, cloud and land elevation satellite and European Space Agency respectively, in the place that ground wire there are differences, utilize cloud data, according to the position of South Pole ground wire defined analysis ground wire.
The described analytical approach in conjunction with Antarctic Digital Elevation Model is specially:
In the place that ground wire there are differences, utilize digital elevation model to obtain elevation sectional view, in conjunction with ground wire defined analysis ground wire position, meanwhile, utilize digital elevation model to make area three-dimensional figure in conjunction with ArcGIS, judge ground wire position.
The described analytical approach in conjunction with the South Pole many phases high-resolution remote sensing image is specially:
According to high-resolution remote sensing image of many phases, by visual interpretation, analyze ice sheet and the relative change of ice shelf, draw ground wire position.
Described step 4) be specially according to step 1), step 2) and step 3) assay is made to the position of South Pole ground wire, and provide South Pole ground wire and use suggestion.
Described South Pole ground wire processes all in dots, meanwhile, by according to basin, South Pole division methods general in the world, pole, Quannan is divided into 23 basins, processes one by one the South Pole ground wire in each basin.
Compared with prior art, the present invention has the following advantages:
1) to overcome the method coverages such as traditional ground and airborne sounding little and do not consider the limitation that ground wire changes for the inventive method, to Quannan number of poles according to the evaluation index determining quantification and qualification, error is classified, and survey high cloud data, digital elevation model and high-resolution remote sensing image of many phases in conjunction with the South Pole and analyze, achieve large-scale evaluation, guarantee the comprehensive of quality assessment and accuracy.
2) the inventive method is according to the difference of the different ground wire form of expression, adopts the method through rate, buffer zone analysis, minimum distance calculation to judge the quality of ground wire product.The ground wire quality evaluated by the method had both taken into full account the precision of the original remotely-sensed data of ground wire product, take into account again the feature of point, wire ground wire data, evaluation method has stronger operability, provides new thinking for solving ground wire quality assessment key issue.
Accompanying drawing explanation
Fig. 1 is the South Pole ground wire quality evaluating method process flow diagram that the present invention is based on multi-source observation data;
Fig. 2 is pole, four kinds of ground wire product Quannans distribution plan involved in the present invention;
Fig. 3 is the present invention's three kinds of ground wire relative positions, quantification and qualification evaluation index schematic diagram used;
Wherein, (3a) is qualitative analysis evaluation index schematic diagram for ground wire relative position assay index schematic diagram, (3b), and (3c) is quantitative analysis evaluation index schematic diagram;
Fig. 4 is ground wire definition schematic diagram involved in the present invention;
Fig. 5 is pole, the four kinds of ground wire product Quannans distribution plan that the present embodiment adopts the 9th basin, the South Pole;
Fig. 6 is that the present invention adopts the data processing figure surveying high data analysing method in conjunction with the South Pole;
Wherein, (6a) be ground wire and ICESat point cloud distribution schematic diagram, (6b) for ICESat spot elevation cloud is at 1,2 position sectional views, (6c) for ICESat spot elevation cloud is at 3,4,5,6 position sectional views, (6d) is for Aspect On Study of Antarctic Ice Cap topographic database BEDMAP 2 is at 5,6 position sectional views;
Fig. 7 is the data processing figure that the present invention adopts in conjunction with Antarctic Digital Elevation Model analytical approach;
Wherein, (7a) by being made diagrammatic cross-section in ground wire region, the elevation sectional view that (7b) exports for utilizing ERS-ICESat DEM.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.The present embodiment is implemented premised on technical solution of the present invention, give detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
A kind of South Pole ground wire quality evaluating method based on multi-source observation data, for the treatment of South Pole ground wire (grounding lines, GL) data, South Pole ground wire data comprise MOA ground wire, ASAID ground wire, InSAR ground wire and ICESat ground wire, as shown in Figure 2, MOA ground wire, is obtained by the image of visual interpretation Moderate Imaging Spectroradiomete (MODIS); ASAID ground wire, visual interpretation LIMA image, utilizes ICESat spot elevation to correct and obtains; InSAR ground wire, utilizes differential interferometry radar method to obtain; ICESat ground wire point, utilizes and repeats the acquisition of rail height anomaly.Wherein, MOA and ASAID ground wire is the ground wire of pole, Quannan, and precision is not high; InSAR ground wire is dot file, and precision is higher; ICESat ground wire be very small amount of point to form (F point and I point), precision is higher.
Ground wire processes all in dots, meanwhile, by according to basin, South Pole division methods general in the world, pole, Quannan is divided into 23 basins, processes one by one the South Pole ground wire in each basin.
As shown in Figure 1, the method comprises the following steps:
1) South Pole ground wire relative position, quantification and qualification evaluation index is obtained, as shown in Figure 3.
Relative position assay index is through rate analysis indexes, as shown in figure (3a), is specially: MOA ground wire and ASAID ground wire pass the percent of ICESat ground wire F point and I point;
Qualitative analysis evaluation index is buffer zone analysis index, as shown in figure (3b), be specially: to MOA ground wire and ASAID ground wire, do 500 meters, 1000 meters, 2000 meters and 5000m buffer zone, calculate InSAR ground wire number wherein and percent;
Quantitative analysis evaluation index is distance analysis index, as shown in figure (3c), is specially: calculate the distance of each InSAR ground wire point to MOA ground wire and ASAID ground wire, do statistical study.
The feature of the ground wire that the inventive method considers point-like in quality assessment, string-like form represents, for the feature of the more difficult acquisition of South Pole ground wire field observation data, design the quantitative predication achieving South Pole ground wire quality through indexs such as rate, buffer zone analysis, minimum distance calculation.
2) carry out error classification according to South Pole ground wire evaluation criterion, the difference between ground wire is divided into and is in acceptable error scope, there is rough error and there is ground wire change.Be specially:
201: according to error propagation formula, obtain the permissible error between MOA ground wire and InSAR ground wire data, between ASAID ground wire and InSAR ground wire data, meet following formula:
In formula, δ is the permissible error between two kinds of data, m
afor the positioning error of wherein a kind of data, m
bfor the positioning error of another kind of data.
Such as, the positioning error of MOA ground wire is 500 meters, and the positioning error of ASAID ground wire is 502 meters, and the positioning error of InSAR ground wire is 100 meters, and the positioning error of the F point of ICESat ground wire is 400 meters.Error between two kinds of data is as shown in table 1:
Error between table 1 two kinds of ground wire data
| One times of error | Twice error | Three times of errors | |
| MOA&InSAR | 510m | 1020m | 1530m |
| ASAID&InSAR | 512m | 1024m | 1536m |
202: for by error classification, ground wire evaluation criterion considers three times of standard deviations of three times of permissible errors and each basin ground wire difference simultaneously, if be less than three times of permissible errors, then two kinds of data are in acceptable error scope, if be greater than three times of standard deviations, then for there is rough error, if be greater than three times of permissible errors and be less than three times of standard deviations, then for there is ground wire change, need to analyze further.
3) adopt respectively survey the analytical approach of high data in conjunction with the South Pole, the analytical approach in conjunction with Antarctic Digital Elevation Model, the analytical approach in conjunction with the South Pole many phases high-resolution remote sensing image analyze further to South Pole ground wire data.
Survey high data analysing method in conjunction with the South Pole to be specially:
ICESat spot elevation cloud and CryoSAT-2 spot elevation cloud is used to survey high data as the South Pole, respectively by the radar altimeter acquisition of the ice sheet explorer satellite of the laser altimeter be mounted on ice, cloud and land elevation satellite (ICESat) and European Space Agency.According to the definition of South Pole ground wire, ice surface elevation as shown in Figure 4, after crossing ground wire arrival ice shelf, elevation reaches unanimity, wherein, G: ice departs from the position of basement rock, i.e. the position of ground wire; F: the limit point of ice formation to land being subject to tidal effect; Ib: the catastrophe point of the bent gradient of the ice being subject to tidal effect ice shelf produces; Im: the minimum point of local landform on ice shelf, i.e. local landform minimum point; H: ice reaches the position of approximate statical equilibrium first; Counterpoise grounding: the region between the bent limit point to hydrostatic point of ice, the region namely between F-H.Therefore in the place that ground wire there are differences, cloud data is utilized, according to the position of South Pole ground wire defined analysis ground wire.
Be specially in conjunction with Antarctic Digital Elevation Model analytical approach:
In the place that ground wire there are differences, utilize digital elevation model (Digital Elevation Model, DEM) elevation sectional view is obtained, in conjunction with ground wire defined analysis ground wire position, simultaneously, utilize South Pole dem data, in conjunction with Arcscene module making area three-dimensional figure in ArcGIS, judge ground wire position.ArcGIS product line for user provide one telescopic, comprehensive GIS platform.
In conjunction with the South Pole many phases, the analytical approach of high-resolution remote sensing image is specially:
According to Landsat-7 of many phases mosaic map mosaic (LIMA) image, by visual interpretation, analyze ice sheet and the relative change of ice shelf, draw ground wire position.
4) according to step 1), step 2) and step 3) export South Pole ground wire and judge and result, namely make assay to the position of South Pole ground wire, to the data in error range, suggestion uses up-to-date data; To the part that there is error, analyze and recommend more suitable ground wire.To extremely each basin, Quannan, make quality appraisal report, and provide each several part data to use suggestion.
Example will be provided to each step.For step 1), as shown in Figure 5, will the data statistics form in the 9th basin, the South Pole be provided.As shown in table 2:
For step 2), according to three times of standard deviations (3*std) in basin in the permissible error between two kinds of data and table 2, error is classified.
For step 3), comprise: as shown in Figure 6, figure (6a) comprises InSAR ground wire, MOA ground wire, ASAID ground wire and ICESat point cloud, figure (6b), (6c), (6d) are ICESat spot elevation cloud sectional view, according to the definition of South Pole ground wire, ground wire should pass through position 2,5,6.
As shown in Figure 7, figure (7a) comprises MOA ground wire, ASAID ground wire and InSAR ground wire, utilizes ERS-ICESat DEM, does elevation sectional view, and as figure (7b), according to the definition of South Pole ground wire, ground wire should pass through position 1.
LIMA of many phases image will be utilized, utilize the method for visual interpretation to go to follow the tracks of the border of ice sheet ground connection ice by the change detecting image brilliance on optical image, judge the position of ground wire.
Finally, based on the basis analyzed pole, Quannan, the judgement of ground wire quality and the suggestion selecting ground wire is provided.End product shows, the present invention is applicable to the quality assessment of South Pole ground wire product, can ensure comprehensive and accuracy.
Claims (8)
1. the South Pole ground wire quality evaluating method based on multi-source observation data, it is characterized in that, for the treatment of South Pole ground wire data, described South Pole ground wire data comprise MOA ground wire, ASAID ground wire, InSAR ground wire and ICESat ground wire, and the method comprises the following steps:
1) South Pole ground wire relative position, quantification and qualification evaluation index is obtained;
2) carry out error classification according to South Pole ground wire evaluation criterion, the difference between ground wire is divided into and is in acceptable error scope, there is rough error and there is ground wire change;
3) adopt respectively survey the analytical approach of high data in conjunction with the South Pole, the analytical approach in conjunction with Antarctic Digital Elevation Model, the analytical approach in conjunction with the South Pole many phases high-resolution remote sensing image analyze further to South Pole ground wire data;
4) according to step 1), step 2) and step 3) export South Pole ground wire and judge and result.
2. a kind of South Pole ground wire quality evaluating method based on multi-source observation data according to claim 1, it is characterized in that, described relative position assay index is through rate analysis indexes, is specially: MOA ground wire and ASAID ground wire pass the percent of ICESat ground wire F point and I point;
Described qualitative analysis evaluation index is buffer zone analysis index, is specially: to MOA ground wire and ASAID ground wire, does 500 meters, 1000 meters, 2000 meters and 5000m buffer zone, calculates InSAR ground wire number wherein and percent;
Described quantitative analysis evaluation index is distance analysis index, is specially: calculate the distance of each InSAR ground wire point to MOA ground wire and ASAID ground wire, do statistical study.
3. a kind of South Pole ground wire quality evaluating method based on multi-source observation data according to claim 1, is characterized in that, step 2) be specially:
201: according to error propagation formula, obtain the permissible error between MOA ground wire and InSAR ground wire data, between ASAID ground wire and InSAR ground wire data, meet following formula:
In formula, δ is the permissible error between two kinds of data, m
afor the positioning error of wherein a kind of data, m
bfor the positioning error of another kind of data;
202: South Pole ground wire evaluation criterion considers three times of standard deviations of three times of permissible errors and each basin ground wire difference simultaneously, if be less than three times of permissible errors, then two kinds of data are in acceptable error scope, if be greater than three times of standard deviations, then for there is rough error, if be greater than three times of permissible errors and be less than three times of standard deviations, then for there is ground wire change.
4. a kind of South Pole ground wire quality evaluating method based on multi-source observation data according to claim 1, is characterized in that, the described analytical approach surveying high data in conjunction with the South Pole is specially:
ICESat spot elevation cloud and CryoSAT-2 spot elevation cloud is used to survey high data as the South Pole, obtained by the radar altimeter of the ice sheet explorer satellite of the laser altimeter be mounted on ice, cloud and land elevation satellite and European Space Agency respectively, in the place that ground wire there are differences, utilize cloud data, according to the position of South Pole ground wire defined analysis ground wire.
5. a kind of South Pole ground wire quality evaluating method based on multi-source observation data according to claim 1, it is characterized in that, the described analytical approach in conjunction with Antarctic Digital Elevation Model is specially:
In the place that ground wire there are differences, utilize digital elevation model to obtain elevation sectional view, in conjunction with ground wire defined analysis ground wire position, meanwhile, utilize digital elevation model to make area three-dimensional figure in conjunction with ArcGIS, judge ground wire position.
6. a kind of South Pole ground wire quality evaluating method based on multi-source observation data according to claim 1, it is characterized in that, the described analytical approach in conjunction with the South Pole many phases high-resolution remote sensing image is specially:
According to high-resolution remote sensing image of many phases, by visual interpretation, analyze ice sheet and the relative change of ice shelf, draw ground wire position.
7. a kind of South Pole ground wire quality evaluating method based on multi-source observation data according to claim 1, it is characterized in that, described step 4) be specially according to step 1), step 2) and step 3) assay is made to the position of South Pole ground wire, and provide South Pole ground wire and use suggestion.
8. a kind of South Pole ground wire quality evaluating method based on multi-source observation data according to claim 1, it is characterized in that, described South Pole ground wire processes all in dots, simultaneously, by according to basin, South Pole division methods general in the world, pole, Quannan is divided into 23 basins, the South Pole ground wire in each basin is processed one by one.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108171647A (en) * | 2017-11-24 | 2018-06-15 | 同济大学 | A kind of 7 band image renovating methods of Landsat for considering Ground Deformation |
| CN109470242A (en) * | 2018-12-05 | 2019-03-15 | 中国科学院寒区旱区环境与工程研究所 | Glacier parameter monitoring system and method |
| CN111062106A (en) * | 2019-12-18 | 2020-04-24 | 贵州省水利水电勘测设计研究院 | Parameterization modeling method for workshop draft tube |
| CN111156960A (en) * | 2019-12-28 | 2020-05-15 | 同济大学 | Satellite laser elevation control point screening method suitable for unstable ground surface area |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102542551A (en) * | 2010-12-13 | 2012-07-04 | 北京师范大学 | Automatic change detection technology for floating ice at edges of polar ice sheets |
| CN102567726A (en) * | 2010-12-13 | 2012-07-11 | 北京师范大学 | Technology for automatically extracting floating ice in polar ice sheet edge regions |
| CN103761375A (en) * | 2014-01-13 | 2014-04-30 | 河海大学 | Method for calibrating tidal flat DEM (digital elevation model) on basis of remote sensing water lines |
-
2015
- 2015-05-25 CN CN201510272026.6A patent/CN104914483B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102542551A (en) * | 2010-12-13 | 2012-07-04 | 北京师范大学 | Automatic change detection technology for floating ice at edges of polar ice sheets |
| CN102567726A (en) * | 2010-12-13 | 2012-07-11 | 北京师范大学 | Technology for automatically extracting floating ice in polar ice sheet edge regions |
| CN103761375A (en) * | 2014-01-13 | 2014-04-30 | 河海大学 | Method for calibrating tidal flat DEM (digital elevation model) on basis of remote sensing water lines |
Non-Patent Citations (3)
| Title |
|---|
| 张辛: "多源遥感数据在南极冰雪变化监测中的应用研究", 《测绘学报》 * |
| 王清华 等: "东南极Amery 冰架与陆地冰分界线的重新划定及验证", 《武汉大学学报 信息科学版》 * |
| 郭宏等: "南极区域遥感影像融合处理质量评价研究", 《测绘与空间地理信息》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108171647A (en) * | 2017-11-24 | 2018-06-15 | 同济大学 | A kind of 7 band image renovating methods of Landsat for considering Ground Deformation |
| CN108171647B (en) * | 2017-11-24 | 2021-09-03 | 同济大学 | Landsat7 strip image restoration method considering surface deformation |
| CN109470242A (en) * | 2018-12-05 | 2019-03-15 | 中国科学院寒区旱区环境与工程研究所 | Glacier parameter monitoring system and method |
| CN111062106A (en) * | 2019-12-18 | 2020-04-24 | 贵州省水利水电勘测设计研究院 | Parameterization modeling method for workshop draft tube |
| CN111156960A (en) * | 2019-12-28 | 2020-05-15 | 同济大学 | Satellite laser elevation control point screening method suitable for unstable ground surface area |
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