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Certificate Programme in Drone Data Collection for Forestry

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์–ธ์ œ๋“  ์‹œ์ž‘

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Unmanned Aerial Vehicles (UAVs) for Forestry
  • Drone Flight Regulations and Safety Procedures
  • Drone Data Acquisition Techniques for Forestry Applications
  • Drone Image Processing and Data Analysis for Forestry
  • 3D Modelling and Point Cloud Data Processing from Drone Imagery
  • GIS and Remote Sensing for Forestry Applications using Drone Data
  • Forestry Applications of Drone Data: Case Studies and Examples
  • Advanced Drone Technologies for Forestry (LiDAR, Multispectral, Hyperspectral)
  • Drone Data Collection Project Management and Reporting

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Drone Pilot (Forestry) Operates drones for data acquisition in forestry, adhering to strict safety regulations and best practices for drone data collection .

Requires proficiency in flight planning and data management.

Forestry Data Analyst Processes and analyzes drone imagery and other geospatial data to assess forest health, identify areas for intervention, and support sustainable forestry management.

Strong analytical and data processing skills essential.

Remote Sensing Specialist (Forestry) Specializes in the acquisition and interpretation of remote sensing data, including drone data , for forestry applications such as tree species identification, biomass estimation, and forest inventory.

Expertise in image processing software crucial.

GIS Specialist (Forestry) Integrates drone-derived data into Geographic Information Systems (GIS) for spatial analysis, visualization, and reporting in forestry.

Skills in GIS software (e.g., ArcGIS) are vital.

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Drone Piloting Data Processing

์ฝ”์Šค ์ˆ˜๊ฐ•๋ฃŒ

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN DRONE DATA COLLECTION FOR FORESTRY
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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