Mapping the World's forests,! long ways and short ways Prof Iain H Woodhouse The University of Edinburgh http://forestplanet.wordpress.com @fortiain!
CANARY ISLANDS TRIPOLI WESTERN! SAHARA ALGERIA LIBYA CAIRO EGYPT NOUAKCHOTT SENEGAL THE GAMBIA BANJUL GUINEA-BISSAU BISS CONAKRY FREETOWN SIERRA LEONE MAURITANIA GUINE LIBERIA BAMAKO YAMOUSSOUK C MALI BURKINA! OUAGADOUGOU GHAN TOG ACC NIAMEY BENIN PORT O- MALAB NIGER NIGERIA EQUATORIAL! ABUJ CAMEROO LUAND CHA N DJAMENA CENTRAL! AFRICAN REPUBLIC BANGUI DEMOCRATIC! REPUBLIC! REP.! OF THE CONGO GABO OF THE! CONG KINSHAS ANGOL BURUNDI ZAMBIA LUSAKA SUDAN KHARTOUM SOUT JUB UGAND KAMPALA RWANDA NAIROBI BUJUMBU TANZANI LILONGWE KENYA MALAWI ERITREA ASMAR ADDIS ABABA ETHIOPIA DJIBOUTI DJIBOU DAR ES SALAAM SOMALIA MOGADISHU Malawi WINDHOEK NAMIBIA BOTSWANA GABORONE MASERU SOUTH! AFRICA HARARE ZIMBABWE PRETORI LESOTHO MOZAMBIQUE MAPUT MBABAN SWAZILAND ANTANANARIVO MADAGASCAR
2007 2008 http://reddhorizonart.tumblr.com
2008 2013
Ecosystem-Edinburgh! The natural capital cluster Edinburgh Centre Carbon Innovat Global Development Academy!
global forest mapping global timely detail
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The (origami) carbon cycle
The (origami) carbon cycle 4.3 added to atmosphere
The (origami) 8.3+/-0.4 1.0+/- 0.5 carbon cycle Kyoto REDD: Reduced Emissions from Deforestation and Degradation
Carbon fluxes in a forest Canopy Understory Soil
Carbon fluxes in a forest Photosynthesis Litter fall and tree death
Carbon fluxes in a forest Respiration Microbial respiration & Decomposition of organic matter
Carbon fluxes in a forest Fire (gas and soot)
Forests cover 30% of the total land area FAO (2005) Global Forest Resources Assessment
13 million hectares converted per yr: England Football pitch every 2 seconds FAO (2005) Global Forest Resources Assessment
Image from Wallpaperswide.com
There is no silver bullet! BIOMASS TanDEM-X TanDEM-L ALOS Landsat Modis ICESat Sentinel DMCii NovaSAR SpeCL
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(Maps by Robert Simmon, based on ASTER data.)
Optical satellites Can infer Can map Operational Low cost Clouds carbon change
A Solution? Data Assimilation (Mat Williams, etc)!! CARDAMOM DALEC: a terrestrial ecosystem carbon cycle analysis MODIS*LAI Pan.Tropical*Biomass DALEC Saatchi'et'al.'2011 HWSD*Soil*Organic*C p(x c) p(c x) p(x)!! Parameter probability p(x c) at each pixel derived using a Metropolis-Hastings MCMC algorithm Hiederer'&'Köchy,'2012 Dynamic(&(ecological( constraints Bloom*and*Williams.,*in*prep.
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Satellite radar for carbon (loss) mapping Global (?) Cloud free Carbon! from canopy height? Sufficiently robust? Not easy to process
Location of significant woody encroachment (green) or deforestation (red) 1986-2006 Mitchard, E.T.A. & Flintrop, C. 2013. Phil Trans Royal Soc B DOI: 10.1098/rstb. 2012.0406
C. Ryan, et al (2012)
How well does satellite radar perform? Carbon cycle science? REDD, National inventory One size doesn t fit all Too complex CO 2 Not fit for purpose Out of time
Science vs policy 144 million tonnes TOTAL carbon in Malawi forest 54-200 million tonnes of carbon lost every year in Amazon
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global timely detail
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Field data Operational Can measure carbon Most accurate Expensive Sampling strategy
LiDAR Best way to Operational measure Targeted Topography Expensive carbon
UAV LiDAR Low cost! (<$2 per ha) Speed! (weeks) Targeted! and so! fit-for-purpose Flies when! no-one! else will Stakeholder control
Riegl VUX-1 Yellow Scan
YellowScan VUX-1 IMU included extra Weight (kg) 2 3.6 Dimensions (cm) 15 x 15 x 15 22.7 x 18 x 12.5 Power consumption (W) 20 60 Max Altitude (m) 150 320 Echos per shot 3 unlimited Range Accuracy (cm) 10 1
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satellites: optical radar radar UAV-lidar lidar UAV-lidar
Remember: there is no silver bullet but maybe a silver team.
Mapping the World's forests,! long ways and short ways Prof Iain H Woodhouse The University of Edinburgh http://forestplanet.wordpress.com @fortiain!