GB/T 41535-2022 in English

VALID

Validation of aerosol optical depth remote sensing products

Issued on:2022-07-11
Implemented on:2023-02-01
File Format:PDF
Delivery:Via email within 1~3 business days

Price(USD)： $280.00
$272.00

Standard No:	GB/T 41535-2022
Document status:	VALID
Title in English:	Validation of aerosol optical depth remote sensing products
Title in Chinese:	气溶胶光学厚度遥感产品真实性检验
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 1~3 business days
Issued on:	2022-07-11
Implemented on:	2023-02-01
ICS Classification:	07.040-Astronomy. Geodesy. Geography
Chinese Classification:	A77-Photogrammetry and Remote Sensing
Professional Classification:	GB-National Standard
Related Keywords:	aerosol optical depth remote sensing verification technical specifications analysis aerosol optical depth aerosol model classification verification indicator core verification technology evolution compared version aerosol urban aerosol model
Related Topics:	aerosol remote sensing sol authenticity remote sensing standards remote sensing standards Sensitivity experiment optical glue, Foreign optical experiments Optical thickness Dissolution testing true density experiment Dissolution testing remote sensing products Hydrogel thickness Gel thickness optical remote sensing authenticity check is optical optical thickness remote Aerosol concentration detection Aerosol Aerosol Extinction Measurements What is the sensitivity of photoresist? Photoresist sensitivity remote sensing products optical remote sensing Guidelines for Authenticity Inspection of Remote Sensing Products remote sensing experiment thick light remote sensing experiment Aerosol extinction optical glue check authenticity laser aerosol Aerosol parameters Sensitivity in photoresist Aerosol extinction Thickness photoelectric aerosol optics aerosol optics Aerosol parameters Aerosol extinction Vacuum test Vacuum test Optical Experiment 6 Earliest Optical Experiments GBT41535 GB/T 41535-2022 China Authenticity Inspection Standard System True density detection Product solubility testing Aerosol chemical composition limits Aerosol sample classification

《GB/T 41535-2022气溶胶光学厚度遥感产品真实性检验》由TC327（全国遥感技术标准化技术委员会）归口，主管部门为中国科学院。

Introduction

Deconstruction of Aerosol Optical Depth Remote Sensing Verification Technical Specifications

Analysis of Standard Framework System

Chapter	Main Points	Technical Innovation
Chapter 5	Dual-Mode Verification Mechanism Design (Direct/Indirect)	Introduction of Time Series Dynamic Adaptation Algorithm
Appendix B	Technical Parameter Standards for Solar Radiometers	CE318 Equipment Accuracy Requirements Improved to ±0.01
Section 6.2.4	Multi-dimensional verification dimension division	Newly added Aerosol model classification verification indicator

Core verification technology evolution

Compared with previous specifications, the new version emphasizes:

The time and space matching window is narrowed to 30 minutes, which is 50% shorter than the 2018 version
Aerosol optical remote sensing benchmark calibrationAdded ultraviolet band synchronization verification
New deep convective cloud determination algorithm to deal with complex meteorological interference

Typical application scenario examples

AOD verification case in North China:

Matching 5 ground-based observation stations to form a spatial network
The validation grid layer is generated using the scatter point density weighted method
An error correction function is specially established for the urban aerosol model

The final verification accuracy is improved by 14.7%, achieving the technical goal of RMSE ≤ 0.12.

Recommendations for the implementation of standardization

Phase	Key action items	Quality control points
Preparation period	EstablishInstrument cyclic calibration system	Daily reference station temperature drift detection
Collection period	Deployment of two-stage cloud screening algorithm	Automatically remove cirrus contaminated data
Reporting period	Multi-dimensional uncertainty traceability analysis	Modeling of typical surface type deviation distribution

Note: The above technical indicators are based on the 2023 dataset of the GAW/AERONET global verification network.

More samples: GB 18306-2015 QC/T 942-2021 JC/T 2453-2018

Sample only — not a preview of GB/T 41535-2022

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