This dataset contains spatial information for plots established in the Dharawal National Park. Sampling of soil is stratified along the soil moisture gradient and across the range of structural variability in the vegetation. Thus three categories of soil moisture and three categories of vegetation structure (based on the height and form of shrubs) are sampled in a factorial design at 60 sites in upland swamps scattered throughout the study area (Keith and Myerscough 1993). Each permanent swamp monitoring site consists of a belt transect of 30 contiguous 0.5x0.5 metre quadrats. Quadrats 1 and 30 are marked with steel star pickets, extending approximately 1.5 m above ground surface. This spatial data complements data collected from soil moisture, soil properties, vegetation and hydrological climate surveys conducted at these sites. A synopsis of related data packages which have been collected as part of the Upland Heath Swamps Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/upland-health-swamps.

The LTERN Desert Uplands Plot Network Plot Details - Spatial Coordinates contains location data for 60 permanent 1 hectare plots in Northern Queensland, Australia. All sites are located within extensive ironbark (Eucalyptus whitei and E. melanophloia) woodland in the Prairie-Torrens Creeks subregion in the northwest of the Desert Uplands bioregion. The sites extend across four leasehold cattle properties that lie within an area approximately 50 km by 50 km. The sites occur on alluvial sand and clay sheets, and flat sand and earth plains. The Desert Uplands research plots commenced in 2004, and have been revisited in 2005, 2006, 2008, 2013, 2014 and 2016. A synopsis of related data packages which have been collected as part of the Desert Uplands Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/desert-uplands

This data package provides spatial co-ordinates for ninety-six 0.1 hectare sites in the Woodland Restoration Plot Network. These sites were located on retired farmland that includes a mosaic of restored vegetation (native plantings) of varying ages juxtaposed with patches of remnant vegetation and untreated, abandoned pasture. All sites were originally woodland prior to agricultural development about 200 years ago. The plantings monitored by the Woodland Restoration Plot Network research plots commenced in 1992 and have been revisited every 3-4 years since 2001. A synopsis of related data packages which have been collected as part of the Woodland Restoration Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/woodland-restoration

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~50km resolution for 2020-2039 period using CCCMA3.1 and R2 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~50km resolution for 2060-2079 period using MIROC3.2 and R1 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using CCCMA3.1 and R1 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

This weather data package comprises weather data for automatic weather stations situated at 13 sites separated by distances of between 5 and 80 km. The weather stations record temperature and rainfall (in 2010, one weather station was set up so that it also began recording wind speed and direction). The air temperature, rainfall, wind speed and wind direction data are recorded in a data logger housed within the instrument stand. The network program uses a core of 12 sites and aims to quantitatively track long-term shifts in biodiversity and ecological processes in relation to key drivers, including unpredictable rainfall and droughts, fire, feral predators and grazing. A synopsis of related data packages which have been collected as part of the Desert Ecology Plot Network's full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/desert-ecology

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 1970-1989 period using NNRP and R3 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~50km resolution for 2020-2039 period using CCCMA3.1 and R3 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

The digital 3-dimenional (3D) mineral mapping suite of Queensland comprises ~20 “standardized” products at the spectral resolution of the ASTER (Advanced Space-borne Thermal Emission and Reflection Radiometer) sensor and generated from publicly-available satellite, airborne, field and drill core spectral data spanning the visible near infrared (VNIR; 0.4 to 1.0 µm), shortwave infrared (SWIR; 1.0 to 2.5 µm) and thermal infrared (TIR; 7.5 to 12.0 µm) wavelength regions, including: 1. Satellite ASTER maps at both 30 m and 90 m pixel resolution with complete coverage of the state of Queensland, i.e. 1.853 million km²; 2. Airborne HyMap maps at ~5 m pixel resolution with a coverage of ~25,000 km2 from areas across north Queensland; 3. Field point samples (~300) from the National Geochemical Survey of Australia (NGSA) collected from a depth of 0-10 cm of flood overbank sediments; 4. Drill-core profiles (~20) of the National Virtual Core Library (NVCL) selected from the area around the Georgetown seismic line (07GA-IG2). Key to the processing of the remote sensing data-sets (ASTER and HyMap) was the implementation of unmixing methods to remove the effects dry and green vegetation. This unmixing was not applied to the Australian ASTER geoscience maps released in 2012 (called here Version 1 or V1) resulting in extensive areas with little/no mineral information because of the need to apply masks. The vegetation unmixing methods used in the Version 2 (V2) processing of the ASTER and HyMap imagery has resulted in very few areas without coherent mineral information. The resultant V2 “mineral group” products were designed to measure mineral information potentially useful for mapping: (i) primary rock composition; (ii) superimposed alteration effects; and (iii) regolith cover. These V2 products may assist in mapping soil properties and groundwater conditions. However their relatively low spectral resolution (based on ASTER’s 14 VNIR-SWIR-TIR bands) means that they do not provide the high level of mineralogical detail available from hyperspectral systems (>100 spectral bands), like HyMap and the HyLogger. Nevertheless, the relatively low spectral resolution of ASTER means that all other sensor data can be spectrally resampled to that resolution. Furthermore, the ASTER global data archive, which now spans entire Earth’s land surface <80degrees latitude, means that it can be used as global base-map for integrating all other spectral data.