FAO TOOLS FOR REDD+
AND THE P ARIS A GREEMENT
Adam Gerrand presentation MoEF Climate Change Festival
Jakarta 16/1/2018
Why are we doing this?
Some challenges:
1. Big reductions in GHG needed to achieve Paris 2-degree target 2. Deforestation (mostly tropical) =11% global GHG emissions 3. 60% of Indonesia’s GHG’s come from forest conversion, more
in bad fire years (& many other developing countries)
4. Countries commitments to Paris Agreement NDCs & REDD+
for emission reductions and benefits need monitoring tools 5. BUT many developing countries have major constraints:
– Large areas with limited infrastructure to access and monitor
– Satellite data hard to get & use, limited expertise (# people & skill) – particularly challenging to turn data into useful information like
country statistics for decision-makers – limited computing storage & power
Show you how FAO tools can help
FAO COLLECT EARTH USES G OOGLE E ARTH
COLLECT EARTH INDONESIAN GRID
36 people completed 8,000 points across Indonesia, in 5 days Manual mapping
takes 1 year to do
• Landsat image processes in minutes
= saves hours or days of work
• Scripts for common tasks like deforestation
• Full country ownership - secure with password
• Up to 128 CPU computers & petabytes of data
processing
C URRENT S ATELLITE I MAGE CLASSIFICATION TAKES DAYS
SEPAL: A UTOMATIC CLASS ’ N IS FASTER ( MINUTES )
H UGE O PPORTUNITIES TO I MPROVE
1. Deforestation can be measured by satellites (degradation harder) 2. New cloud-computing data storage and processing = revolution 3. CHEAPER – lots of free data & software: US Landsat, EU Sentinel 4. FASTER –saves time & improves accuracy through repeated runs 5. Reduces data storage & processing time
6. MORE CONSISTENT through time – vital for analyzing change 7. Spend more time analyzing and improving results, less time
preparing data and waiting for it to be processed
8. Radar data can see through clouds (but very hard to use in past years, little data)
Conclusions
1. Big reductions in GHG needed to achieve Paris target 2. Countries commitments on NDCs and REDD+ for
emission reductions and benefits need monitoring 3. FAO OpenFORIS tools are widely used, & powerful 4. Collect Earth uses Google Earth samples
– Fast, easy visual classification of land cover & uses – Links to cloud computing data storage and processing
– Rapid consistent monitoring of land cover change (e.g. deforestation) – Can do fast annual forest cover change statistics (UNFCCC)
5. SEPAL is a cloud-computing satellite image processing system
– Overcomes many challenges faced by countries for LC/LU maps
– Faster, cheaper, easier more accurate maps, with known confidence
