2. Facility Objectives
Production and delivery of
nationally consistent long‐time
series of satellite‐based biophysical
map products and next generation
remote sensing research data that
is validated for Australian
conditions.
3. Science Questions
• How, in space and time, have key environmental variables changed over
the period of satellite image archives for Australia?
• AusCover portal will deliver several spatially explicit datasets on
several biophysical variables measured via remote sensing
4. Science Questions
• How, in space and time, have key environmental variables changed over
the period of satellite image archives for Australia?
• AusCover portal will deliver several spatially explicit datasets on
several biophysical variables measured via remote sensing
• Can we measure at regional scales the relative benefits/impacts of
legislated environmental management programs on Australia's major land
and coastal ecosystems?
• Derived datasets will be produced at various levels of spatial
resolution to allow for investigation into different types of impacts
5. Science Questions
• How, in space and time, have key environmental variables changed over
the period of satellite image archives for Australia?
• AusCover portal will deliver several spatially explicit datasets on
several biophysical variables measured via remote sensing
• Can we measure at regional scales the relative benefits/impacts of
legislated environmental management programs on Australia's major land
and coastal ecosystems?
• Derived datasets will be produced at various levels of spatial
resolution to allow for investigation into different types of impacts
• Can we measure at regional scales the relative benefits/impacts of
legislated environmental management programs on Australia's major land
and coastal ecosystems?
• Derived datasets will be produced at various levels of spatial
resolution to allow for investigation into different types of impacts
7. Facility infrastructure:
Processes that are complete and operational (what is working);
Remote Sensing Data Delivery Backbone
• Solving data formats, interoperability, data-policy,
• Physical storage, efficient delivery to end-users etc.
8. Facility infrastructure:
Processes that are complete and operational (what is working);
Remote Sensing Data Delivery Backbone
• Solving data formats, interoperability, data-policy,
• Physical storage, efficient delivery to end-users etc.
Data Production Network (via Central Console and 7 Regional “Nodes”)
• Nationally-consistent, standard biophysical data products,
• Metadata and technical support documents
• Specialised space-borne, airborne & in-situ research-grade data
9. Facility infrastructure:
Processes that are complete and operational (what is working);
Remote Sensing Data Delivery Backbone
• Solving data formats, interoperability, data-policy,
• Physical storage, efficient delivery to end-users etc.
Data Production Network (via Central Console and 7 Regional “Nodes”)
• Nationally-consistent, standard biophysical data products,
• Metadata and technical support documents
• Specialised space-borne, airborne & in-situ research-grade data
Ground Validation Program and Instrumentation
• Set national standards & field validation protocols,
• TERN SuperSites and Environmental transects etc.
• International Benchmarking (eg CEOS WGCV LPV)
10. Stakeholders
• Academia and Research Agencies
• Biodiversity and ecosystem fragmentation studies
• CSIRO, ABARES, CRCs – Next Generation Land-surface
models, hydrological modeling, remote sensing science
teams, etc.
• Government Agencies
• State: NRM Agencies, Agriculture and Forestry agencies
• Federal: DAFF, SEWPaC, DCCEE, GA, BoM
• NGOs
• Overseas users
• GEO working groups (eg. GEO BON); world climate
forecasting centres, regional carbron-cycle programs,
Cal/Val groups in space agencies, etc.
11. AusCover USER Advisory Network
Nick Cuff (DNRE)
John Carter (QDERM)
Damian Barrett (UQ)
Mike Grundy (CSIRO)
Charlie Thom (Curtin U.)
Bruce Buckley (IAG)
John Leys (DECC)
Anna Dutkievicz (DENR)
Richard Thackway (ABARES)
Andrew Haywood (DEC) Matt Bolton (SEWPAC)
Tony Boston (BoM – Water)
Shanti Reddy (DCCEE)
12. Summary of datasets
http://data.auscover.org.au/wiki and go to Product Pages
Functional group Key products
Land Cover Dynamic Land Cover Map, MODIS Fractional Cover.
Landsat FPC, Ground Cover, Forest Cover.
Ecosystem Variables Vegetation Indices NDVI, EVI, LAI, fPAR.
Land Cover Dynamics, Phenology, Disturbance Index.
Fire Burned area, Fire Frequency, Thermal Anomalies.
Radiation, Meteorology and Rainfall, Temperature, Vapour Pressure, Solar Radiation,
Ancillary Albedo, LST and Emissivity, Soil Moisture.
Base Satellite Data and Landsat Cloud Free Reflectance, MODIS Surface Reflectance
Inputs to Satellite Processing Aerosol Optical Depth, Total Column Water Vapour and O3.
Site-based Datasets AusCover Validation Sites and Airborne Data.
Fractional Cover and SLATS Field Sites.
Hyperion Hyperspectral Data.
Atmosphere MODIS Aerosol, Water Vapour, Cloud Mask, Dust, Smoke
13. Technical and production network
Links to International
Networks
Darwin Node
Stefan Maier (CDU)
Technical Officer (CDU)
Brisbane Node
Kasper Johansen UQ)
Peter Scarth (QDERM)
Perth Node Rebecca Trevithick (UQ)
Merv Lynch (Curtin)
Peter Fearns (Curtin)
Mat Whyatt (ANDS/iVEC)
Luke Edwards (Curtin/iVEC)
Mark Gray (Curtin)
Mark Broomhall (Curtin)
Helen Chedzey (Curtin) Sydney Node
Alfredo Huete (UTS)
Technical Officer (UTS)
Adelaide Node
Megan Lewis (UA)
Ken Clarke (UA)
Canberra Node
Alex Held (CSIRO)
Melbourne Node Tim Malthus (CSIRO)
Ian Grant (BoM) Medhavy Thankappan (GA)
Paul Loto’aniu (BoM) Juan Pablo Guershman (CSIRO)
Simon Jones (RMIT) Leo Lymbruner (GA)
Barbara Rashaia (RMIT) Matt Paget (CSIRO)
Matt Nethery (CSIRO)
14. AusCover Data Production Network
Data from Other National Agencies
And International Space Agencies
Darwin Node and Collaborators
Burt-Area and Bushfire
Products and Validation
Brisbane Node
Foliage Projected Cover
Airborne Data Products
Perth Node Field Data & Validation
Surface Reflectance Products,
Hyperspectral data, atmospheric
Correction ancillary data;
Field Validation
Sydney Node
Time-Series Vegetation Indexes
Phenology Products continental +
Adelaide Node In-situ, Validation
Fractional Land-Cover in
Ragelands + Field Validation
Canberra Node
Leaf-Area Index/FPAR Product
Melbourne Node Fractional Cover
Gridded Climatology Data
Dynamic Land Cover Map
Airborne Data and in-situ
Airborne Data products
Sensor data.
15. Current Status: Data Delivery Backbone
http://data.auscover.org.au
Central
Portal
UQ
iVEC
Data Fabric NCI CSIRO
VPAC BoM
Source: http://www.aarnet.edu.au Online
Coming soon
16. Technologies – Current Status
Standalone services
Distributed servers Local management. CSIRO , iVEC and NCI
Flexible and scalable. (ARCS/RDSI), UQ, BoM
Variety of data Application specific. NetCDF-CF “gold standard”
formats Raster / Vector / Database. Code to translate
Programmable data Access via URLs. HTTP, THREDDS, OPeNDAP,
access Large dataset processing. Geoserver
Aggregated services
Central website Links to all services. http://data.auscover.org.au
News, Updates, Glossary. Drupal
Metadata repository Collection level records. http://mest.auscover.org.au
Harvestable by TERN Portal. Geonetworks
Visualisation portal WMS enabled datasets. http://portal.auscover.org.au
Node and User Wiki Product description pages. http://data.auscover.org.au/wiki
Community validation Global field photo library. http://www.eomf.ou.edu
Geo-Wiki. http://auscover.geo-wiki.org
20. AusCover Data Calibration
Grey
White Black
Three calibration targets
Deployment of calibration targets at the Chowilla Supersite during
the hyperspectral flight campaign
27. Planned activities post 2014
(role in defining paths to address critical gaps in TERN and sustaining it beyond 2014).
• Establish permanent EO data product delivery
system and associated capability
• Closer collaboration with international programs
(e.g. NEON)
• Establish permanent data calibration and product
validation capability
• Work with R&D sector to transition to new sensor
systems and new derived products
• Acquire additional airborne and high-resolution
datasets for R&D and validation
28. Thank you
Facility Contact Details
Alex Held – Facility Director
Rowena Smith – Facility Coordinator
Matt Paget – Data and Systems Coordinator
CSIRO Marine and Atmospheric Research
GPO Box 3023
Canberra, ACT 2601
Australia
Tel.: 61-2-6246 5630
Fax: 61-2-6246 5988
Email: alex.held@csiro.au / rowena.smith@csiro.au / matt.paget@csiro.au
Editor's Notes
The smoke detection algorithm aims to differentiate bushfire derived particulates from other scene elements in a satellite image. Various threshold tests work with specific spectral bands that are sensitive to the presence of scene elements such as smoke, cloud, bright surface features or water. In December 2009, a fire broke out 20km east of Harvey in south-west Western Australia. The fire started on the 13th and continued to burn for several days. Two days after ignition, the smoke plume had extended northwards over land, covering the Perth urban area and moving out over the ocean.The satellite image on the left, taken at 10:15am on the morning of the 15th, displays the true colour image of the bushfire. The image on the right overlays a transparent red image created using the smoke detection algorithm. The combination of thresholds in the algorithm results in a product that discriminates well against ocean, land and most cloud (present in the lower left of the image). Challenges still arise when trying to classify thin smoke and some high reflectance land areas.