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Introduction to ESA's CCI Biomass
Frank Martin Seifert
The CCI Biomass Consortium
ESA UNCLASSIFIED - For Official Use Slide 2
ESA’s Climate Change Initiative (CCI)
Overview of ESA's CCI Biomass and Purpose of the 1st CCI Biomass User Workshop
Professor Richard Lucas
The CCI Biomass Consortium
ESA UNCLASSIFIED - For Official Use Slide 4
Fate of Anthropogenic Emissions (2005-2015)
EFF = 34.1 � 1.7 GtCO2 yr-1 (91 %)
ELUC = 3.5 � 1.8 GtCO2 yr-1 (9 %) SLAND = 11.5 � 3.1 Gt CO2 yr-1 (30 %)
SOCEAN = 9.7 � 1.8 Gt CO2 yr-1 (26 %)GATM = 16.4 � 0.4 Gt CO2 yr-1 (44 %)
SLAND - Not adequately measured
PartitioningGrowth rate of CO2 Rates of CO2 uptake
EFF + ELUC = GATM + SOCEAN + SLAND
Sources
CO2 sinks include response of land and ocean to elevated CO2 & changes in climate and other environmental conditions
ESA UNCLASSIFIED - For Official Use Slide 5
Biomass: An Essential Variable in the Earth Climate System
Highly sensitive to land use and management
Plants act as a storage reservoir, absorb excess atmospheric CO2 and deliver input to soil carbon pools
Influenced by fire with fuel loads partly controlling emissions
Vulnerable to climate change and disturbancesControls biophysical climate effects
ESA UNCLASSIFIED - For Official Use Slide 6
CCI Biomass is a three year project that aims to:
a) Generate global maps of above-ground biomass (Mg ha-1) for four epochs (mid 1990s, 2007-2010, 2017/2018 and 2018/2019), with these being capable of supporting quantification of biomass change between epochs.
b) Provide information that is relevant for climate and has the potential to be exploited by global carbon cycle and climate models as they develop.
Fully supportive of global efforts and collaborative
CCI Biomass Aims
ESA UNCLASSIFIED - For Official Use Slide 7
Earth Observation Data for Retrieving Global Forest Biomass and Understanding Climatic Contributions
JapaneseL-band SAR (1996-2018)
Tandem-X
BIOMASS
Sensors relevant to biomass
ESA UNCLASSIFIED - For Official Use Slide 8
Landsat–derived Cover (Red) ALOS PALSAR~ L-band HH (Green)and L-band HV (Blue)
Integrating Sensors for Improved Biomass Retrieval
Peninsular Malaysia
Central America
Gabon Wales, UK
Sweden
ICESAT GLAS coloured by height, Injune, Queensland
Australia
Structural classification
ESA UNCLASSIFIED - For Official Use Slide 9
Supportive Data Layers for Refining Biomass Estimates
Forest Structure
WaterInundation
RockyGround
UrbanAreas
Mangroves
LID
AR p
rofil
es
Global Layers
ESA UNCLASSIFIED - For Official Use Slide 10
The Structural Development of Forests
Cover
HeightHeight
Cover
Global Forest structural classification
Africa
Based on canopy height (Simard et al. 2011; Biogeosciences) and cover (Hansen et al. 2013; Science)
ESA UNCLASSIFIED - For Official Use Slide 11
The Structural Development of Forests
Cover
HeightHeight
Cover
CanopyHeight
CanopyHeight
Mangroves, Northern Australia
Mangrove HeightMalaysia(Tandem-X)
Global Mangroves
1996 (JERS-1 SAR)2007-9 (ALOS PALSAR)2010 (ALOS PALSAR & Landsat)2015-16 (ALOS-2 PALSAR)
ESA UNCLASSIFIED - For Official Use Slide 12
Factors Influencing Biomass Retrieval
Mangrove HeightMalaysia(Tandem-X)
Pekel et al. (2016; Nature)
SEDAC (2018)
Water Occurrence
ESA UNCLASSIFIED - For Official Use Slide 13
Uncertainty in Biomass Retrieval
Water Occurrence
Pekel et al. (2016; Nature)
SEDAC (2018)
ESA UNCLASSIFIED - For Official Use Slide 14
Integrating Environmental Variables into Land Cover and Change Classifications
10 m LCCS Classification (Wales, UK)
Tree cover density (2000)
Tree cover density (2010)
Cover change (2000-10)
Trees closed canopy (>70-60 %) tall (14-30 m) continuous broadleaved evergreen with 2nd layer supporting open canopy 7-3 m in height; Above
Ground Biomass of 210 Mg ha-1; dominated by Pinus sylvestris)
Land Cover Classifications Generated from Environmental Variables according to the Food and
Agriculture Organization (FAO) Land Cover Classification System (LCCS) and derived from EnvironmentalVariables with unit quantities (e.g., m, %, days)
Lucas and Mitchell (2017)
ESA UNCLASSIFIED - For Official Use Slide 15
Linking with other ESA CCIs
snow covercci
Fire impacts on biomass
Contributions to GHG emissions
Impact on biomassretrieval algorithms
Inputs to land cover descriptions
Sea level impacts onmangrove biomass
ESA UNCLASSIFIED - For Official Use Slide 16
CCI Biomass: Global Plant Biomass Facility
Land cover and environmental variables (including tree to
stand level biomass) consistently captured in near
real time
Existing Biomass Databases (e.g., FOS)
Mobile Data Collection
ESA UNCLASSIFIED - For Official Use Slide 17
ESA’s Climate Change Initiative: User Requirements – Climate Modelling
Earth Observation
In SituCarbon Science
(including Modelling)
Climate Adaption
and Mitigation
Climate Modelling
https://trello.com/b/XLEQIEJV/cci-biomass-workshop-public
ESA UNCLASSIFIED - For Official Use Slide 18
Tuesday 25th September - Session 1. Agenda
