|
US$219.00 · In stock
Delivery: <= 3 days. True-PDF full-copy in English will be manually translated and delivered via email.
HJ 1176-2021: (National Ecological Status Survey and Evaluation Technical Specifications-Data Quality Control and Integration)
Status: Valid
| Standard ID | Contents [version] | USD | STEP2 | [PDF] delivered in | Standard Title (Description) | Status | PDF |
| HJ 1176-2021 | English | 219 |
Add to Cart
|
3 days [Need to translate]
|
(National Ecological Status Survey and Evaluation Technical Specifications-Data Quality Control and Integration)
| Valid |
HJ 1176-2021
|
Standard similar to HJ 1176-2021 HJ 1347.1 HJ 1347.2 HJ 1346.1 Basic data | Standard ID | HJ 1176-2021 (HJ1176-2021) | | Description (Translated English) | (National Ecological Status Survey and Evaluation Technical Specifications-Data Quality Control and Integration) | | Sector / Industry | Environmental Protection Industry Standard | | Word Count Estimation | 9,928 | | Issuing agency(ies) | Ministry of Ecology and Environment | HJ 1176-2021: (National Ecological Status Survey and Evaluation Technical Specifications-Data Quality Control and Integration)
---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
(National Ecological Status Survey and Evaluation Technical Specifications-Data Quality Control and Integration)
National Ecological Environment Standard of the People's Republic of China
National Ecological Status Survey and Evaluation Technical Specification
--Data quality control and integration
Technical specification for investigation and assessment of national ecological
status
--Data quality control and integration
This electronic version is the official standard text, which is reviewed and typeset by the Environmental Standards Institute of the Ministry of Ecology and Environment.
Published on 2021-05-12
2021-08-01 Implementation
Released by the Ministry of Ecology and Environment
directory
Foreword...ii
1 Scope...1
2 Normative references...1
3 Terms and Definitions...1
4 General...2
5 Technical process...2
6 National Ecological Status Survey and Evaluation Data...2
7 Data quality control index system...2
8 Data quality evaluation methods...4
9 Data Integration and Convergence...5
National Ecological Status Survey and Evaluation Technical Specification
--Data quality control and integration
1 Scope of application
This standard specifies the general principles, technical process, data quality control index system, data quality evaluation method, data quality control and integration
Data integration and convergence requirements.
This standard is applicable to the data quality control and integration in the process of survey and evaluation of the terrestrial ecological status of the national and provincial administrative regions.
The operational links involved in data quality control and integration in the process of status investigation and evaluation can be implemented with reference to this standard.
2 Normative references
This standard refers to the following documents or clauses thereof. For dated references, only the dated version applies to this standard.
For undated references, the latest edition (including all amendments) applies to this standard.
GB/T 2260 Code of Administrative Divisions of the People's Republic of China
GB/T 13989 National Basic Scale Topographic Map Framing and Numbering
GB/T 15968 Remote Sensing Image Plan Production Specification
GB/T 35643 Optical Remote Sensing Mapping Satellite Image Product Metadata
GB/T 35764 Public Map Content Representation Requirements
3 Terms and Definitions
The following terms and definitions apply to this standard.
3.1
quality controlquality control
The process of eliminating data deviation or unreasonable data at all stages in the quality cycle by adopting certain technical measures.
3.2
data transfer
The process of organizing and submitting survey and evaluation materials and data in accordance with relevant regulations.
3.3
quality assessment
The process of evaluating the accuracy and reliability of the survey and evaluation results by building an accuracy analysis and quality evaluation system.
3.4
integration control
Check the data sources, process data, and result data data formats, data accuracy, etc. in the ecological status survey and assessment in accordance with the prescribed methods.
process.
4 General
Data quality control and integration should follow the principles of standardization, operability, and whole-process control.
5 Technical process
This standard formulates the technical flow of data quality control index system construction, clear data quality evaluation methods, data integration and convergence requirements, etc.
process, as shown in Figure 1.
6 National Ecological Status Survey and Evaluation Data
The main data involved in the whole process of data collection, data production and processing and data application, including remote sensing image data,
Ecosystem type data, ecological parameter data and field survey/verification data.
7 Data quality control index system
This standard specifies the quality indicators of data sources, data production processes and data products in the national ecological status survey and evaluation.
The whole process of source, data acquisition, data production and processing and data application. According to the characteristics of data types, this standard constructs data including remote sensing images
data quality, ecosystem type data quality, ecological parameter data quality, and field survey/verification data quality
The quality control index system is shown in Table 1.
8 Data quality evaluation methods
The data quality evaluation method is a means of testing the quality of data. Generally, the quality is measured by pass/fail or score.
The report reflects the overall state of data quality.
8.1 Quality evaluation of remote sensing image data
The quality of remote sensing images is evaluated by examining whether the remote sensing image data meets the specific requirements of the index system. Remote sensing images that meet the requirements
Data is qualified.
8.2 Ecosystem type data quality assessment
Evaluate the quality of ecosystem type data by examining the classification accuracy and achievement standardization of ecosystem type data. use the wild
The survey/verification data set is used to evaluate the accuracy of ecosystem type data for the national ecological status survey and assessment, as follows.
a) The classification accuracy evaluation of ecosystem type data is interpreted as the percentage of the correct number of samples interpreted by each type to the total number of samples
Combined with the confusion matrix evaluation method, the overall accuracy and Kappa coefficient can be calculated according to the confusion matrix. Kappa coefficient can evaluate
To evaluate the accuracy of the entire classification map, the conditional Kappa coefficient can evaluate the accuracy of a single class. Kappa coefficient in < 0.00, 0.00～0.20, 0.20～
The corresponding classification quality in the interval of 0.40, 0.40-0.60, 0.60-0.80, 0.80-1.00 is very poor, poor, average, good, very good,
Excellent.
b) The verification sample data of the confusion matrix method includes field checkpoints, high spatial resolution remote sensing images, and field checkpoint attribute indicators
It should include spatial coordinates, attributes, photos and other information, and the spatial resolution of remote sensing images should generally be better than 2 m.
8.3 Evaluation of Ecological Parameter Data Quality
The ecological parameter data includes vegetation coverage, total primary productivity, leaf area index, etc.
The average relative error model REE is used to quantitatively measure the quality of various types of ecological parameters in the region. The calculation model is as follows.
REE
Measured value inversion value Inversion value
verification points
(1)
P=1REE (2)
In the formula. REE - average relative error;
P - represents the inversion accuracy of ecological parameters. According to work experience, the reflection of vegetation coverage, total primary productivity, leaf area index, etc.
The performance accuracy should be greater than or equal to 80% of the requirements to judge the eligibility of ecological parameters.
8.4 Field investigation/verification data quality assessment
Evaluate the quality of field survey/verification data by verifying that the field survey/verification data meets the specific requirements of the indicator system. fulfil requirements
The remote sensing image data is qualified.
9 Data Integration and Convergence
9.1 Data content requirements
9.1.1 In accordance with the requirements for completeness of data content, the data type of the submitted content should be complete and accurate.
9.1.2 Completeness of basic ecological environment data, including basic geographic data, environmental monitoring and statistical data, socioeconomic statistical data, and
relevant industry data.
9.1.3 Completeness of ecological remote sensing data, including satellite remote sensing finely calibrated images, ecosystem types, ecological parameters, and ecosystem service functions.
Can wait for data.
9.1.4 The completeness of the ground field investigation/verification data, including the on-site observation data of the ecosystem and the long-term monitoring data of the ecosystem.
9.1.5 Completeness of survey and assessment results data, including remote sensing survey and assessment reports, atlases, intermediate data, and results data.
9.2 Data Format Requirements
9.2.1 Basic data
9.2.1.1 Ground field investigation/check data. submit the collection form in Excel (.xls/.xlsx) format according to the field data collection template,
At the same time, submit the attached field photo data in JPEG (.jpg) format, and the photo name should be consistent with the data record in the Excel file.
9.2.1.2 National long-term monitoring data of ecosystems. submitted in Excel (.xls/.xlsx) format.
9.2.1.3 Ecological thematic spatial data. It is divided into three categories. vector, grid and table. For vector data, in.shp format; raster
Grid data is in standard GeoTIFF (.tif) format, including metadata information, index information (such as.mxd files) and quick views;
Tabular data is in Excel (.xls/.xlsx) format and should be accompanied by a metadata description file.
9.2.1.4 Basic geographic data. It is stored in the standard format of 1.250,000 national basic scale, and the vector data is in.shp format;
DEM data is in standard GeoTIFF (.tif) format.
9.2.1.5 Environmental monitoring and statistical data. mainly submitted in the form of documents and forms. Document format data is in Word (.doc/.docx) format
Format, tabular data is in Excel (.xls/.xlsx) format, and metadata description files should be provided with them.
9.2.1.6 Social and economic statistics. mainly in the form of documents and tables. Document format data is in Word (.doc/.docx) format, table
The grid data is in Excel (.xls/.xlsx) format, and metadata description files should be provided with them.
9.2.2 Remote sensing related data
9.2.2.1 Satellite remote sensing data. The submission format is GeoTIFF (.tif) format, and should be accompanied by metadata description files and thumbnail files.
For specific metadata requirements, please refer to GB/T 35643.
9.2.2.2 Ecosystem type data. use.shp vector format, and follow-up inspection is carried out according to the relevant requirements of GB/T 15968.
9.2.2.3 Ecological parameter data. mainly in grid format, submitted in GeoTIFF (.tif) format.
9.2.2.4 Ecosystem service function data. mainly in grid format, submitted in GeoTIFF (.tif) format.
9.2.3 Spatial data requirements
9.2.3.1 Coordinate system. The plane coordinate system adopts the.2000 National Geodetic Coordinate System.
9.2.3.2 Elevation Datum. "1985 National Elevation Datum" shall be adopted.
9.2.3.3 Projection method. Gauss-Kriging projection is the main method, and the plane map of the 1.1 million scale remote sensing image adopts the positive-axis equiangular conic projection.
The specific implementation is based on the relevant requirements of GB/T 15968.
9.2.3.4 Framing and numbering. The fragmenting and numbering of the national basic scale topographic map shall be adopted, and the specific implementation shall be carried out in accordance with the relevant requirements of GB/T 13989.
9.2.3.5 Main scale. The main scale of provincial data is 1.250,000 to 1.1,000,000; the main scale of typical regional data is 1.10,000 to 1.10,000
1.1 million; the main scale of national data is 1.1 million to 1.4 million.
9.3 Data submission requirements
9.3.1 Data format. mainly raster and vector data, and the vector format is submitted in.shp format; the raster format adopts the standard GeoTIFF
(.tif) format submission.
9.3.2 Report format. mainly document files, using Word (.doc/.docx) format. Pictures in the report, in JPEG (.jpg)
Format, the resolution must not be lower than 300 dpi, and the electronic version needs to be submitted separately. The electronic version of the picture is named according to the picture number of the picture in the document.
9.3.3 Atlas format. mainly vector and picture files, vector results are in.shp format, and should be submitted to the country, each province, and each topic at the same time
The final drawing result of the project, the project file is submitted as a.mxd file, and the drawing result is output as a JPEG (.jpg) format image, and the output resolution is different.
Below 600 dpi. The public content map indicates that the requirements are specifically implemented in accordance with the relevant requirements of GB/T 35764.
9.3.4 Submission method. The survey and evaluation data of the ecological status of each provincial administrative region shall be submitted to the national scale, and shall be stored in the national unified database.
The second-level folder is named after the ecosystem type, pattern, quality, function, problem, field survey, etc., and the third-level folder is stored with data
The main content of the title, such as "social and economic development statistics" and so on. The folder path should not be too deep, preferably no more than five levels of folders.
|