AI-Driven Precision Forestry for Carbon Sequestration

Faculty of Public Health , Chalermphrakiat Sakon Nakhon Province Campus
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This project applied AI and satellite imagery to assess tree health, growth, and carbon stocks across a 1,200-rai reforestation zone. Drone-mounted LIDAR provided 3D biomass data, enabling precise forest management strategies.

A mobile app allowed students and communities to record tree data—height, girth, leaf condition—feeding into the core dataset and fostering climate-change awareness and engagement.

Year-one results: over 9,800 tCO2e sequestered and biodiversity boosted with 15 native species. The project aligns with SDG 15, SDG 13, and SDG 9, fulfilling 2025 indicators 96, 210, and 111.

แท็กที่เกี่ยวข้อง:
Forestry AI Carbon KU SDG15 SDG13 SDG9

Project Evidence & Documentation

Field activity: AI-Driven Precision Forestry for Carbon Sequestration
Workshop & outreach: AI-Driven Precision Forestry for Carbon Sequestration
ลิงก์ที่เกี่ยวข้อง
Activity Videos
Other Evidence Document Files
Summary Information
  • Project Type: Research
  • Year of Data (A.D.): 2025
  • Start Date: 25/01/2025
  • End Date: 10/12/2025
  • Participants: 620
  • Budget (THB): 720,000.00 THB
  • จำนวนผู้เข้าชม: 92
Related Indicators
SDG 9Industry, Innovation and Infrastructure

9.3.1 - Patents

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