Development testing and delivery of a new fire severity mapping algorithm and product for AusCover based on AusCover MODIS post-fire reflectance change data. 
Principal Investigator: Stefan Maier (MAITEC)
Objective: To assess the accuracy of (validate) the MODIS fraction pixel burnt (sub-pixel patchiness) product and assess its suitability for defining regional EDS/LDS cut-off dates. 
Impact: Fire extent mapping using satellite observations has become an operational tool and provides fundamental information for ecological studies in fire prone areas. However, fire is not fire. Therefore, this case study will utilise the TERN/AusCover MODIS post-fire reflectance change data to test, refine, validate and apply a fire severity algorithm. The outcome will be fire severity maps for Australia’s savannas for 2002-2015. The information will significantly improve estimates of greenhouse-gas emissions from bushfires and will be vital for all studies investigating the ecological impact of fires in savannas.

 

Monitoring post-disturbance woody vegetation recovery from changes in vegetation fractional cover measures.
Principal Investigator: Lola Suarez (RMIT)
Objective: To assess woody vegetation recovery in areas that have been devastated by a catastrophic event (ie fire, flooding, or disease).   Monitor and represent vegetation recovery as a function of the quantitative changes in fractional cover over time after the occurrence of the event in relations to the pre-event status. 
Impact: This project will use ensemble regression methods to assess fractional cover changes during the after-burn recovery period using high-resolution satellite imagery.  The study site considered is the mountain ash forest, located in Victoria, burned in the “Black Saturday” event in 2009. The methodology was proved in sites chosen as representative of Victorian forests, including a mountain ash forest very close to the study area. Current products assessing vegetation fraction cover at the national scale have limited accuracy in multi-story forests with high footage density.  The methodology could potentially improve the performance of current national products in the context of high cover and dense areas and be used to assess post-burn recovery using satellite imagery.

 

Improved state fire mapping using TERN AusCover products. 
Principal Investigator: Kenneth Clarke (University of Adelaide)
Objective: Develop new methods for fire mapping and monitoring in SA to assist aligning with QLD, NT and NSW who currently work together to ensure they use the same approach to map fire scars. Impact: “Fire mapping in northern South Australia has been ad hoc, and inconsistent with methods used across the borders into Queensland, the Northern Territory, and New South Wales. Hence, the South Australian Department of Environment, Water and Natural Resources (DEWNR) have identified a need for method to map the extent and timing of fires that is consistent with neighbouring states, quantitative, and repeatable. This project aims to produce such a method, which will allow DEWNR to better understand fire location, extent and timing, and monitor for changes in these.”

 

Himawari 8 products for the Australian Environment. 
Principal Investigator: Peter Fearns (Curtin University)
Objective: To investigate the production of Land Surface Temperature (LST) and Surface Reflectance data with reference to the application of these products to monitor agricultural and pastoral regions. 

 

Land Cover Dynamics & Phenology
Field Survey Datasets
Vegetation Composition & Diversity
Fire Dynamics & Impacts
Other Environmental Data
Corrected Surface Reflectance Products
Airborne Datasets
Vegetation Structural Properties & Biomass

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