T/JLFX 004-2022 Active Group standards

T/JLFX 004-2022 Unmanned aerial vehicle visible light remote sensing monitoring for suspected dead trees infested with Bursaphelenchus xylophilus technical specification

Publish Date: 2022-05-07 Implement Date: 2022-05-07 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/JLFX 004-2022

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: \nForest resource protection

ICS Name: Terminology (principles and coordination and cooperation)

Publish Date: 2022-05-07

Implement Date: 2022-05-07

Scope

Scope: This standard specifies the terms, basic requirements, technical design, operational preparation, flight operations, data processing, image interpretation, monitoring results, on-site verification, and evaluation of results for the monitoring of suspected pine wood nematode-infected dead pine trees using drones as a platform and visible light cameras as sensors. Advantages over satellite remote sensing monitoring: Satellite remote sensing monitoring is suitable for large-scale disaster assessment after a disaster occurs, while drone remote sensing monitoring has a wider range of applications, including pre-disaster prevention, disaster prevention and control during disasters, and qualitative and quantitative analysis of post-disaster assessments. Satellite remote sensing monitoring is costly, with limited flexibility in shooting time and significant weather-related impacts. Drones operate at low altitudes, offering greater operational flexibility, lower costs, and higher accuracy, facilitating timely and rapid monitoring. This standard applies to drone monitoring of suspected dead trees infected with pine wood nematodes in the Beijing-Tianjin-Hebei region. Main technical contents: The standard includes the following: a) scope; b) safety precautions; c) pre-operational preparation; d) on-site operations; e) post-operational maintenance.