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Online Content for Experiential Learning of Tropical Systems

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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)

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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:
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Versions

Version Released DOI Handle Status
2.0 Jul 23, 2023 10.25334/HRFQ-MB40 published view version »
1.0 Jun 22, 2023 10.25334/S6HP-CK68 published view version »