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Mapa mental

Boreal Shrubification

Owen Lucas Inglés

Contenido del mapa

Boreal Shrubification

  1. Large spatio-temporal study needed

    • Methods of Assessment
      • LANDSAT
        • Pros
          • Limitless Spatial Scale
          • Long Time series (~1970s on)
          • Well established data products
        • Cons
          • Only gives very vague understanding of ground level changes
          • Relatively easy to do - should take on more
          • Difficult to assess vertically distributed attributes due to radiometric saturation
        • Summary
          • Can provide a broader assessment of structural attributes on a very large spatio-temporal scale
            • Need to link both sources to capture a more detailed understanding at a large spatio-temporal scale
              • Use LiDAR data for model calibration and validation
                • Enables Supervised Machine Learning Classification
                  • Has been done to assess other attributes but not shrub cover to my knowledge
                  • RF or SVM likely would be optimal, some experimentation will be needed
                    • Potentially test algorithms using WEKA (depending on EarthEngine's capabilities)
                      • Implement in EarthEngine
                  • Determine necessary class labels
                    • How detailed does it need to be?
                    • How detailed is possible?
              • Questions
                • Will this work for understory?
                  • Not yet known
                    • = High risk, high reward study
                • What scale is appropriate/accomplishable for a 2 year MSc?
                • Is LiDAR data availability adequate to capture full spectrum of variation needed to calibrate and at what scale?
                  • Should be - but need to confirm
                • Can this overcome issue of radiometric saturation, or does this issue persist ?
                  • Has helped for assessing canopy cover, stand height, above ground biomass (Matasci et al)
              • Supplementary data
                • Veg. indices
                • Disturbance Information (When and type)
                • Geographic position
                • Topographic variables
                  • Elevation
                  • Slope
              • LANDSAT composites
              • Questions these results could answer:
                • What is the spatial extent of boreal shrubification?
                • How is boreal shrubification changing over time?
                • What variables drive boreal shrubification?
      • LiDAR
        • Cons
          • Limited coverage
          • New - very limited time series capabilities
        • Pros
          • Very detailed capture of ground level attributes
          • Sub meter accuracy
          • Capable of assessing vertically distributed attributes
        • Summary
          • Can give a very detailed understanding of structural attributes on smaller spatio-temporal scale

Información

Descripción
Mapa Mental sobre Boreal Shrubification, creado por Owen Lucas el 23/09/2020.
Creado por
Owen Lucas
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