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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)

211 total view(s), 57 download(s)

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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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Usage

Total Views

211

The above numbers reflect non-unique views of the page, which may include multiple views in the same day by the same user.

Total Downloads

57

The above numbers reflect non-unique user access to the linked content, which includes but is not limited to primary access button clicks, bundle downloads, and supporting documents.