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Multi-Hyperspectral Remote Sensing
Multi-Hyperspectral Remote Sensing, Total:34 items.
In the international standard classification, Multi-Hyperspectral Remote Sensing involves: Applications of information technology, Optics and optical measurements, Aircraft and space vehicles in general, Astronomy. Geodesy. Geography, Agricultural machines, implements and equipment, Information technology (IT) in general, Space systems and operations, Air quality, Farming and forestry, Geology. Meteorology. Hydrology, Animal feeding stuffs, Ceramics, Ferrous metals, Iron and steel products.
Group Standards of the People's Republic of China, Multi-Hyperspectral Remote Sensing
- T/CARSA 1.6-2022 Authenticity test of high-resolution satellite remote sensing products based on low-altitude drones Part 6: Multispectral, hyperspectral remote sensing image data and lidar data preprocessing
- T/CAGIS 9-2023 Spatio-temporal Spectral Multidimensional Data Format for Remote Sensing
- T/SDIE 16-2021 Technical Guidelines for Multispectral Remote Sensing Monitoring of Pine Wood Nematode Discoloration Standing Trees
- T/AHEPI 0002-2023 Technical guide for hyperspectral targeted imaging remote sensing monitoring of trace gases
- T/CARSA 1.3-2022 Authenticity test of high-resolution satellite remote sensing products based on low-altitude drones Part 3: Optical remote sensing image data acquisition
- T/AHEPI 0001-2023 Technical guide for space - air - ground integration hyperspectral remote sensing traceability of trace gases emissions
- T/SDAS 268-2021 Application rules of hyperspectral artificial intelligence technology in low-altitude remote sensing real-time accurate monitoring and early warning of field crop diseases
- T/SAASS 2-2021 Application rules of hyperspectral artificial intelligence technology in low-altitude remote sensing real-time accurate monitoring and early warning of field crop diseases
- T/SATA 028-2022 Determination of multi elements in feed by inductively coupled plasma optical emission spectrometry method
General Administration of Quality Supervision, Inspection and Quarantine of the People‘s Republic of China, Multi-Hyperspectral Remote Sensing
- GB/T 31010-2014 Spectral calibration in laboratory for dispersive hyperspectral sensor
- GB/T 42650-2023 Lossless and near-lossless compression of multispectral and hyperspectral images in spatial data and information transmission systems
- GB/T 36164-2018 High alloy steel.Determination of multi-element contents.X-ray fluorescence spectrometry (routine method)
国家市场监督管理总局、中国国家标准化管理委员会, Multi-Hyperspectral Remote Sensing
- GB/T 38026-2019 Gradation standard for multispectral data products of remote sensing satellite
Jiangsu Provincial Standard of the People's Republic of China, Multi-Hyperspectral Remote Sensing
- DB32/T 4123-2021 Aerial Hyperspectral Remote Sensing Technical Regulations for Eco-Geological Environment Survey
Anhui Provincial Standard of the People's Republic of China, Multi-Hyperspectral Remote Sensing
- DB34/T 4476-2023 Technical regulations for UAV hyperspectral remote sensing monitoring of winter wheat field growth
Military Standard of the People's Republic of China-General Armament Department, Multi-Hyperspectral Remote Sensing
- GJB 9467-2018 Specification for high purity quartz glass for satellite optical remote sensing
Consultative Committee for Space Data Systems (CCSDS), Multi-Hyperspectral Remote Sensing
British Standards Institution (BSI), Multi-Hyperspectral Remote Sensing
- BS ISO 28902-3:2018 Air quality. Environmental meteorology - Ground-based remote sensing of wind by continuous-wave Doppler lidar
- BS ISO 18381:2013 Space data and information transfer systems. Lossless multispectral and hyperspectral image compression
- BS ISO 28902-2:2017 Air quality. Environmental meteorology. Ground-based remote sensing of wind by heterodyne pulsed Doppler lidar
- 20/30391483 DC BS ISO 24121. Space data and information transfer systems. Spectral preprocessing transform for multispectral and hyperspectral image compression
Shandong Provincial Standard of the People's Republic of China, Multi-Hyperspectral Remote Sensing
- DB37/T 2888-2016 Moderate Resolution Imaging Spectrometer (MODIS) Remote Sensing Image Wheat Growth Monitoring Technical Regulations
International Organization for Standardization (ISO), Multi-Hyperspectral Remote Sensing
- ISO 18381:2013 Space data and information transfer systems - Lossless multispectral and hyperspectral image compression
- ISO 28902-2:2017 Air quality - Environmental meteorology - Part 2: Ground-based remote sensing of wind by heterodyne pulsed Doppler lidar
- ISO 28902-3:2018 Air quality — Environmental meteorology — Part 3: Ground-based remote sensing of wind by continuous-wave Doppler lidar
Association Francaise de Normalisation, Multi-Hyperspectral Remote Sensing
- NF ISO 28902-3:2019 Qualité de l'air - Météorologie de l'environnement - Partie 3 : télédétection du vent par lidar Doppler à ondes continues basé au sol
- NF X43-030-3*NF ISO 28902-3:2019 Air quality - Environmental meteorology - Part 3 : ground-based remote sensing of wind by continuous-wave doppler lidar
- NF ISO 28902-2:2017 Qualité de l'air - Météorologie de l'environnement - Partie 2 : télédétection du vent par lidar Doppler pulsé hétérodyne basée sur le sol
- NF EN 15605:2010 Cuivre et alliages de cuivre - Analyse par spectrométrie d'émission optique avec source à plasma induit par haute fréquence
Korean Agency for Technology and Standards (KATS), Multi-Hyperspectral Remote Sensing
- KS L 1627-2014(2019) Testing method of impurities in high purity cobalt ingot by inductively coupled plasma spectrometric
German Institute for Standardization, Multi-Hyperspectral Remote Sensing
- DIN ISO 28902-3:2019-04 Air quality - Environmental meteorology - Part 3: Ground-based remote sensing of wind by continuous-wave Doppler lidar (ISO 28902-3:2018)
- DIN ISO 28902-3:2019 Air quality - Environmental meteorology - Part 3: Ground-based remote sensing of wind by continuous-wave Doppler lidar (ISO 28902-3:2018)
工业和信息化部, Multi-Hyperspectral Remote Sensing
- YB/T 6012-2022 Determination of multi-element content of blast furnace slag by X-ray fluorescence spectrometry (powder tabletting method)