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GB/T 41537-2022: Validation of snow cover area remote sensing products
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Validation of snow cover area remote sensing products
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GB/T 41537-2022
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Basic data | Standard ID | GB/T 41537-2022 (GB/T41537-2022) | | Description (Translated English) | Validation of snow cover area remote sensing products | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | A77 | | Word Count Estimation | 22,263 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration | GB/T 41537-2022: Validation of snow cover area remote sensing products---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.
Validation of snow cover area remote sensing products
ICS 33.200
CCSA77
National Standards of People's Republic of China
Authenticity test of snow cover remote sensing products
Published on 2022-07-01
2023-02-01 Implementation
State Administration for Market Regulation
Released by the National Standardization Administration
directory
Preface III
Introduction IV
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 Reference object 2
5 Basic requirements 2
6 Inspection method 2
6.1 Inspection method selection 2
6.2 Direct Test Method 2
6.2.1 Direct inspection method for binary remote sensing products of snow area 2
6.2.2 Direct inspection method for remote sensing products of snow area ratio 3
6.3 Indirect test method 4
7 Inspection report5
7.1 Cover information5
7.2 Text information 5
7.2.1 Overview of remote sensing products for snow area to be inspected5
7.2.2 Reference object description 5
7.2.3 Inspection method and process 6
7.2.4 Authenticity test conclusion 6
7.2.5 Additional information 6
7.3 Summary table of inspection report information 6
Appendix A (Informative) Method for Obtaining Binary Map of Snow Cover Area from High Spatial Resolution Remote Sensing Data7
Appendix B (Informative) Spatial Consistency Conversion Method for High Spatial Resolution Snow Cover Area Remote Sensing Data 8
Appendix C (Informative) Calculation Method of Accuracy and Uncertainty Index of Snow Area Binary Remote Sensing Products Based on Error Matrix 10
Appendix D (Informative) Methods for Obtaining the Ratio Map of Snow Covered Area from High Spatial Resolution Remote Sensing Data 13
Appendix E (Informative) Sample Information of the Authenticity Inspection Report of Snow Covered Area Remote Sensing Products 14
Reference 16
foreword
This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1.Structure and Drafting Rules of Standardization Documents"
drafted.
Please note that some content of this document may be patented. The issuing agency of this document assumes no responsibility for identifying patents.
This document is proposed by the Chinese Academy of Sciences.
This document is under the jurisdiction of the National Standardization Technical Committee of Remote Sensing Technology (SAC/TC327).
This document is drafted by. Northwest Institute of Eco-Environmental Resources, Chinese Academy of Sciences, Institute of Qinghai-Tibet Plateau, Chinese Academy of Sciences, Chinese Academy of Sciences
Aerospace Information Innovation Research Institute, Lanzhou University, National Satellite Meteorological Center, Nanjing University.
The main drafters of this document. Hao Xiaohua, Che Tao, Wang Jian, Li Hongyi, Li Xin, Liu Zhaoyan, Huang Guanghui, Zheng Zhaojun, Xiao Pengfeng, Huang Xiaodong,
Wen Jianguang.
Introduction
Snow cover affects radiation balance, energy exchange and hydrological cycle at the global scale, and is an important input variable for hydrological and climate models. remote
Sensory monitoring of snow cover has the characteristics of macroscopic, rapid, dynamic and economical, and it is an important way to monitor snow cover.
At present, the widely used remote sensing products of snow area mainly include two types of remote sensing products of snow area binary value and ratio of snow area.
With the improvement of satellite observation capabilities and the development of inversion algorithms, remote sensing products for snow area have become increasingly mature.
Sexual inspection work still lags far behind the production of products, and there is a lack of a set of effective verification operation specifications. Formulate scientific and normative
Authenticity test standard for binary remote sensing products of snow area and remote sensing products of snow area ratio, to standardize the authenticity of remote sensing products of snow area
The inspection workflow is conducive to a comprehensive and objective evaluation of its accuracy and uncertainty, thereby promoting the quality improvement of snow cover remote sensing products and promoting
into its quantitative application.
Authenticity test of snow cover remote sensing products
1 Scope
This document specifies the reference objects, basic requirements, inspection methods and inspection reports for the authenticity inspection of snow area remote sensing products.
This document is suitable for the authenticity test of binary products and proportional products in snow cover remote sensing products.
2 Normative references
The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, dated citations
documents, only the version corresponding to that date applies to this document; for undated references, the latest edition (including all amendments) applies to
this document.
GB/T 36296-2018 Guidelines for the authenticity inspection of remote sensing products
GB/T 39468-2020 General method for authenticity inspection of terrestrial quantitative remote sensing products
3 Terms and Definitions
The terms and definitions defined in GB/T 36296-2018, GB/T 39468-2020 and the following apply to this document.
3.1
snow pixel snowpixel
The figure type contains only snow-covered cells.
3.2
mixedsnowpixel mixedsnowpixel
In addition to the snow surface cover, the ground object type also includes other surface-covered pixels.
3.3
non-snowpixel
The figure type does not contain snow-covered cells.
3.4
snow depth
The vertical depth from the snow surface to the ground beneath the snow.
Note. Snow depth is the most basic physical quantity for snow observation, and is an important parameter for snow water equivalent estimation, water balance in the basin and simulation of snowmelt runoff. Commonly used units
for centimeters (cm).
3.5
Pixels only indicate whether the surface cover is a snow cover type remote sensing product of snow cover.
Note. All pixels are divided into two types. "snow pixels" and "non-snow pixels", and each pixel can only take one of the types.
3.6
The pixel represents the snow cover area remote sensing product of the snow cover type.
Note. Cells include mixed snow cells, snow cells and non-snow cells.
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