Upload
others
View
4
Download
0
Embed Size (px)
Citation preview
A near-real time satellite
tool for monitoring and
mapping ecological impacts
in Fynbos
Jasper Slingsby, Adam Wilson, Glenn Moncrieff
Biodiversity Planning Forum, Cape St Francis
22 June 2018
Remote sensing tools
for assessing ecological
conditionJasper Slingsby, Glenn Moncrieff, Nasiphi Ntshanga, Alastair Potts, Adam Wilson Biodiversity Planning Forum, Wilderness
9 June 2016
Take home messages from
2016…
• Mapping ecological condition at national scale is very doable… to some degree.
Issues:
• You can’t map condition without knowing what it is first… (i.e. veg type and desired state)
• We need a large database of reference sites representing different levels of ecological degradation…
Take home messages from
2018…• We’ve found a way around needing a large database
of reference sites… (although they’re still useful)
• We can monitor and map changes in ecological condition in near-real time (~every 16-32 days)
• The method works very well in Fynbos, but needs further testing and development to expand to other biomes…
Near-real time satellite vegetation monitoring
www.globalforestwatch.org
• Decades of free remote-sensing products
• Amazing new tools and computing resources
e.g. Google Earth Engine
Near-real time satellite vegetation monitoring
Why is this cool?
• Compliance monitoring
• Global change monitoring (land cover change,
drought impacts, invasive species, etc)
– i.e. ecosystem condition
• Land surface processes
– Carbon accounting
– Hydrology
Across large extents in near-real time!!!
How to detect change?
www.globalforestwatch.org
How to detect forest change?
NDVI = vegetation greenness
What about non-forest ecosystems?
What about non-forest ecosystems?
www.globalforestwatch.org
Forest gain and loss?
What is the model for non-
forest ecosystems?
NDVI = vegetation greenness
?
Kogelberg Fire near Cape Town
Fynbos?
First 70 days of postfire regeneration, Jonkershoek, South
Africa
NDVI recovery
Wilson et al. 2015
NDVI recovery
Wilson et al. 2015
NDVI recovery
λ = Rate of recovery
γ + α = Max Potential
NDVI
(vegetation cover)
A = Seasonality
Wilson et al. 2015
NDVI recovery
34°S
33°S
32°S
31°S
0.4 0.6
Maximum NDVI ( g + a )
18°E 20°E 22°E 24°E
34°S
33°S
32°S
31°S
0 10 20 30
Recovery Time (years)
34°S
33°S
32°S
31°S
0.4 0.6
Maximum NDVI ( g + a )
18°E 20°E 22°E 24°E
34°S
33°S
32°S
31°S
0 10 20 30
Recovery Time (years)
34°S
33°S
32°S
31°S
0.4 0.6
Maximum NDVI ( g + a )
18°E 20°E 22°E 24°E
34°S
33°S
32°S
31°S
0 10 20 30
Recovery Time (years)
• Explore spatial
variation in these
parameters
• Model parameters
~ Climate + Soils etc.
• Predict!!!
Prediction
Thresholds
(Confidence Interval)
Predict NDVI recovery for a location
with given climate, soils, etc.
Invasive plants
Fire, clearing,
drought, etc
Predict NDVI recovery for a location
with given climate, soils, etc.
Prediction
Thresholds
(Confidence Interval)
Cape Peninsula Case Study
• 16-day combined MODIS NDVI (~270m pixels)
• February 2000 to the end of May 2014 (before the drought)
• Projected to end of July 2017
• Quantified deviance above or below predicted
Silvermine - below
Silvermine - below
Silvermine - below
New development Natural vegetation?
Silvermine - below
Silvermine - above
Silvermine - above
Silvermine - above
Cape of Good Hope
Cape of Good Hope
• Easily flags– Alien invasion
– High plant mortality
– Vegetation clearing
– Slow post-fire recovery
• Next steps– Validate across whole
biome
– Map drought impacts
– Map invaded areas
– Explore automated diagnosis
Web user interface
Navigate Mark Record Annotate
Field inspection app
Conclusions• Satellite tools have great potential
• “Ecosystem models” negate the need for extensive reference sites
• We have a model that works well for Fynbos
– Developing a model for some other ecosystems (e.g. Thicket) should be relatively straightforward
BUT
• Rolling out a publicly available tool requires (funding) a support team…
Thank You!
• South African National Parks,
CapeNature, PlanetLabs, UN Global
Pulse
• Nicky Allsopp, John Silander, Vernon
Visser and others at SEEC