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LY/T 2922-2017 English PDF

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LY/T 2922-2017: Forestry data quality - Evaluation method
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Basic data

Standard ID LY/T 2922-2017 (LY/T2922-2017)
Description (Translated English) Forestry data quality - Evaluation method
Sector / Industry Forestry Industry Standard (Recommended)
Classification of Chinese Standard B60
Classification of International Standard 65.020.40
Word Count Estimation 30,319
Date of Issue 2017-10-27
Date of Implementation 2018-01-01
Regulation (derived from) National Forestry Admistration Notice 2017 No. 18; Industry Standard Filing Notice No. 12 (Total No. 216)
Issuing agency(ies) State Forestry Administration

LY/T 2922-2017: Forestry data quality - Evaluation method

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Forestry data quality—Evaluation method ICS 65.020.40 B60 People's Republic of China Forestry Industry Standard Forestry data quality evaluation method Released on.2017-10-27 2018-01-01 implementation State Forestry Administration released

Content

Foreword I 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Data Quality Evaluation Overview 3 5 Data Quality Evaluation Content 5 6 defect rating 7 7 Sampling of forestry data 7 8 data quality check 8 9 Data Quality Assessment 10 10 Data Quality Report 11 Appendix A (informative appendix) Classification of forestry data defects 12 Appendix B (informative appendix) Data sampling plan 15 Appendix C (informative appendix) Example of data sampling method 24 Appendix D (informative) Data Quality Report Format 25 Reference 27

Foreword

This standard was drafted in accordance with the rules given in GB/T 1.1-2009. This standard was proposed by the Information Center of the State Forestry Administration. This standard is under the jurisdiction of the National Forestry Information Data Standardization Technical Committee (SAC/TC386). This standard was drafted. Institute of Resource Information, Chinese Academy of Forestry, Information Center of the State Forestry Administration, China National Institute of Standardization. The main drafters of this standard. Hu Shuping, Tang Xiaoming, Gu Hongbo, Bai Ying, Cheng Yue, Sun Zhaoyang, and Yuan Yuan. Forestry data quality evaluation method

1 Scope

This standard specifies the forestry data quality description framework, inspection methods and methods, evaluation procedures, evaluation content, defect classification, sampling, evaluation And data quality reports. This standard applies to the preparation of forestry data product specifications, data production process quality inspection, data product quality inspection, evaluation and acceptance.

2 Normative references

The following documents are indispensable for the application of this document. For dated references, only dated versions apply to this article. Pieces. For undated references, the latest edition (including all amendments) applies to this document. GB/T 2828.1-2012.Sampling procedures for sampling by sampling - Part 1 . Batch-by-batch inspections by Retrieving Quality of Acceptance (AQL) plan GB/T 18316-2008 Quality inspection and acceptance of digital surveying and mapping results GB/T 19710-2005 Geographic Information Metadata GB/T.19996-2005 public version of map quality assessment standards LY/T 2921-2017 Basic elements of forestry data quality

3 Terms and definitions

The following terms and definitions defined in GB/T 18316-2008, GB/T 19710-2005 and GB/T 2828.1-2012 apply to this file. 3.1 Quality element qualityelement Describe the quantitative and qualitative components of quality. That is, the basic characteristics of the results meet the requirements of the regulations and the purpose of use. Note. The applicability of quality elements depends on the content of the results and the outcome specifications, and not all quality elements apply to all outcomes. [GB/T 18316-2008, definition 2.4] 3.2 Dataline Historical information of the data, including the original data description used in the acquisition or production of data, parameters in the data processing, steps, etc. And related information of the responsible unit. [GB/T 19710-2005, definition 4.13] 3.3 Unit product item A thing that can be described and considered separately. [GB/T 2828.1-2012, definition 3.1.4] Note. A unit product can be any part of a data set, such as features, relationships between features, feature attributes, or a combination of them. 3.4 Check lot lot A data set consisting of unit products used for sampling and inspection, referred to as batch.

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