Skip to Main Content
Powered by QUBES

OCELOTS

Online Content for Experiential Learning of Tropical Systems

Resources

Resource Image

High technology to measure forest carbon stocks: How can advanced remote sensing improve biomass quantification in the Brazilian Amazon?

Author(s): Catherine Torres de Almeida

Unesp (São Paulo State University)

231 total view(s), 63 download(s)

0 comment(s) (Post a comment)

Download

Adapt 0
Summary:
A case study on the estimation of aboveground biomass using advanced remote sensors (LiDAR and hyperspectral) in the Brazilian Amazon. Students explore remote sensing (RS) data and compare RS-based models to understand tropical carbon dynamics.

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

Version 2.0 - published on 23 Jul 2023 doi:10.25334/HRFQ-MB40 - cite this

Keywords

  1. climate change
  2. remote sensing
  3. hyperspectral
  4. tropical forests
  5. LiDAR data analysis
  6. carbon stocks

Alignments

  1. Resource Type
  2. Courses
  3. Course Level
  4. Bloom's Cognitive Level
  5. Vision and Change Core Competencies
  6. Vision and Change Core Concepts
  7. Four Dimensional Ecology Education (4DEE) Framework
  8. Class Type
  9. Class Size
  10. Audience
  11. Lesson Length
  12. Key Scientific Process Skills
  13. Pedagogical Approaches
  14. Assessment Type
Contents:
view all files

Supporting Docs

  • Sign in — Gala
  • Gala
  • png DALLE 2023-03-28 09.09.14 - a lidar point cloud of a tree in tropical forest.png(PNG)
  • jpg ocelots.jpg(JPG)