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Coastal IFOA Canopy Dieback Monitoring
The NSW Natural Resources Commission (NRC) engaged the Hawkesbury Institute for the Environment, Western Sydney University to develop a repeatable, scientifically robust and... -
Coastal IFOA Canopy Dieback Monitoring State Forest Boundaries
The Land Units contain the core management components for Forestry Corporation of NSW Hardwood Forests Division operational activities. -
Historical Fire Extent and Severity Mapping (FESM) - Statewide 2008-09
NSW Department of Climate Change, Energy, the Environment and Water
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) - Sturt Region
NSW Department of Climate Change, Energy, the Environment and Water
Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, DPE Remote Sensing & Regulatory Mapping team has developed... -
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... -
SLATS - Woody Vegetation Change - NSW 2017 - 2020
NSW Department of Climate Change, Energy, the Environment and Water
These layers show woody vegetation change based on the analysis of multi-date Sentinel2 imagery for 2017, 2018, 2019 and 2020. Woody change is detected though a combination of... -
SLATS - Woody Vegetation Change - NSW 2015 and 2016
NSW Department of Climate Change, Energy, the Environment and Water
This layer shows woody vegetation change based on the analysis of multi-date SPOT5 and Sentinel2 imagery. This analysis was done for the period 2015 and 2016. Woody change is... -
SLATS Non-Woody 2018, 2019 & 2020
NSW Department of Climate Change, Energy, the Environment and Water
This layer shows state-wide SLATS Non-Woody data based on the analysis of multi-date Sentinel2 and Planet Maps imagery for 2018, 2019 & 2020. Non-woody disturbance (removal... -
Non Woody Disturbance 2020
NSW Department of Climate Change, Energy, the Environment and Water
This layer shows non-woody vegetation change based on the analysis of multi-date Sentinel2 and Planet Maps imagery for 2020 (circa January 1-December 31, 2020) Non-woody change... -
National ASTER Map Kaolin group index
B6/B5 (potential includes: pyrophyllite, alunite, well-ordered kaolinite) Blue is low content, Red is high content Useful for mapping: (1) different clay-type stratigraphic... -
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... -
National ASTER Map TIR Quartz index
Band ratio: B11/(B10+B12) Blue is low quartz content Red is high quartz content Geoscience Applications: Use in combination with Silica index to more accurately map... -
National ASTER Map Opaque index
Band ratio: B1/B4 Blue is low abundance, Red is high abundance (potentially includes carbon black (e.g. ash), magnetite, Mn oxides, and sulphides in unoxidised envornments... -
National ASTER Map MgOH group content
Band ratio: (B6+B9/(B7+B8) Blue is low content, Red is high content (potentially includes: calcite, dolomite, magnesite, chlorite, epidote, amphibole, talc, serpentine) Useful... -
National ASTER Map Regolith Ratios
3 band RGB composite Red: B3/B2 Green: B3/B7 Blue: B4/B7 (white = green vegetation) Use this image to help interpret (1) the amount of green vegetation cover (appears as white);... -
National ASTER Map AlOH group composition
Band ratio: B5/B7 Blue is well ordered kaolinite, Al-rich muscovite/illite, paragonite, pyrophyllite Red is Al-poor (Si-rich) muscovite (phengite) useful for mapping: (1)... -
National ASTER Map green vegetation content
Band ratio: B3/B2 Blue is low content Red is high content Use this image to help interpret the amount of "obscuring/complicating" green vegetation cover. -
National ASTER Map TIR Silica index
Band ratio: B13/B10 Blue is low silica content Red is high silica content (potentially includes Si-rich minerals, such as quartz, feldspars, Al-clays) Geoscience Applications:... -
National ASTER Map AlOH group content
Band ratio: (B5+B7)/B6 Blue is low abundance, Red is high abundance potentially includes: phengite, muscovite, paragonite, lepidolite, illite, brammalite, montmorillonite,...