Mapa mental
Boreal Shrubification
Contenido del mapa
Boreal Shrubification
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
- Potentially test algorithms using WEKA (depending on EarthEngine's capabilities)
- Determine necessary class labels
- How detailed does it need to be?
- How detailed is possible?
- Enables Supervised Machine Learning Classification
- Questions
- Will this work for understory?
- Not yet known
- = High risk, high reward study
- Not yet known
- 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)
- Will this work for understory?
- 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?
- Use LiDAR data for model calibration and validation
- Need to link both sources to capture a more detailed understanding at a large spatio-temporal scale
- Can provide a broader assessment of structural attributes on a very large spatio-temporal scale
- Pros
- 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
- Can give a very detailed understanding of structural attributes on smaller spatio-temporal scale
- Cons
- LANDSAT
- Methods of Assessment
Información
- Descripción
- Mapa Mental sobre Boreal Shrubification, creado por Owen Lucas el 23/09/2020.
- Creado por
- Owen Lucas
- Visitas
- 1
- Valoración