T/GSEA 001-2025 Active Group standards

T/GSEA 001-2025 Specification for High-Spectral Imaging Detection Technology of Unmanned Aerial Vehicles in Photovoltaic Power Stations

T/GSEA 001-2025 Photovoltaic power plant drone hyperspectral imaging detection technical specification

Publish Date: 2025-05-15 Implement Date: 2025-05-30 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/GSEA 001-2025

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: -

ICS Name: Solar energy engineering

Publish Date: 2025-05-15

Implement Date: 2025-05-30

Scope

Main technical content: This document specifies the method for conducting high-spectral imaging tests on photovoltaic power stations using drones, including detection conditions, parameter selection, and spectral data processing. This document is applicable to low-altitude digital aerial photography of photovoltaic power stations using push-sweep low-altitude high-spectral aerial photography systems, with high-spectral imaging data acquisition as the main purpose. Frame-type low-altitude high-spectral aerial photography systems can be used for reference. The main contents of the standard include: detection conditions: environmental conditions, drone systems, and acquisition equipment; parameter selection: main process, preparations before parameter selection, resolution selection, partitioning principles, flight parameter design, flight height calculation, flight speed calculation, flight path planning; spectral data processing: data preprocessing, instrument noise correction, atmospheric correction, spectral and spatial correction, data processing, noise reduction, dimensional reduction, spectral unmixing, data classification and fusion, target detection and extraction, geographical positioning and correction, control point selection, distortion correction, image management, image reliability verification and evaluation, data processing of different time dimensions, data naming and management, data compression, and data storage.