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NSW Post-fire Biomass Recovery Monitoring by Remote Sensing
Observational monitoring of post-fire biomass recovery at the landscape scale is important to help us understand drivers of recovery processes, identify vulnerable ecosystems... -
Historical Fire Extent and Severity Mapping (FESM)
Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, DCCEEW Remote Sensing & Regulatory Mapping team has... -
Historical Fire Extent and Severity Mapping (FESM) - Statewide 2015-16
Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, the department's Remote Sensing & Regulatory Mapping team... -
Historical Fire Extent and Severity Mapping (FESM) - Statewide 2007-08
Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, the department's Remote Sensing & Regulatory Mapping team... -
Historical Fire Extent and Severity Mapping (FESM) - Statewide 2014-15
Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, the department's Remote Sensing & Regulatory Mapping team... -
Historical Fire Extent and Severity Mapping (FESM) - Statewide 2008-09
Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, the department's Remote Sensing & Regulatory Mapping team... -
Sea Surface Temperature Warming Rates in Australian Marine Parks according...
This dataset measures the mean decadal warming rates of the sea surface temperature (SST) in 58 Australian Marine Parks (with the exception of the Heard Island and McDonald... -
Heard Island digitising 2009
Digitising of the coastline, glacier extents, water features, wildlife, and human footprints of the Heard Island Remote Sensing Project, 2009. This GIS data has Dataset_id = 273... -
National Forest and Sparse Woody Vegetation Data (Version 3, 2018 Release)
Australian Government Department of Climate Change, Energy, the Environment and Water
Landsat satellite imagery is used to derive woody vegetation extent products that discriminate between forest, sparse woody and non-woody land cover across a time series from...