null. The NEWNESNPWS Vegetation Survey(null) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present.

Central Tablelands survey sites commissioned by Coalpac. The COALPAC13(Central Tablelands survey sites commissioned by Coalpac) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present.

The fungal disease mucormycosis, caused by the fungal pathogen Mucor amphibiorum, has infected Tasmanian platypus for almost three decades (Gust et al 2009, Gust and Griffiths, 2011). The disease causes skin lesions, morbidity and mortality (Gust and Griffiths, 2009). To investigate spatial and temporal distribution patterns of mucormycosis and its impacts on platypus, a database of extensive historic platypus capture and observation records was created. This data was used to map historic distribution and prevalence of mucormycosis. In 2008-2009 live trapping surveys were undertaken to determine the spread, prevalence and persistence of the disease. In addition, demographic (sex, age), morphometric (body size) and health and moult condition of captured individuals were assessed (Gust et al 2009, Gust and Griffiths, 2011). Furthermore, influences of mucormycosis on the hematology, plasma biochemistry and other indicators of health in platypus were investigated (Geraghty et al 2011).

The composition of many eastern Australian woodland and forest bird assemblages is controlled by a single, hyper-aggresive native bird, the noisy miner <em>Manorina melanocephala</em>. The "Avifaunal disarry from a single despotic species" working group harnessed diverse existing datasets and used them to develop and test models of noisy miner occupancy and impacts. Two datasets are published based on the analysis and synthesis.

NPWS Far South Coast Region validation Eden CRA Map in Bournda NP and NR. The V_BOURNDP3(NPWS Far South Coast Region validation Eden CRA Map in Bournda NP and NR) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present.

The dataset catalogue information about research or management projects that have used remote devices to record behavioural, physiological or environmental data from free-ranging animals. The purpose of this dataset is to act as a conduit by which animal telemetry data, ideas, analysis and statistical tools may be shared between interested parties throughout Australasia. The animal telemetry projects collated in this dataset have been collated from peer-reviewed scientific papers published between 2000 and 2013. This represents the first-step in the creation of an Australasian focused database for animal telemetry research and management projects. If you have undertaken a telemetry project and it is not listed here, whether the study findings have been published or not, then please send details about the study to the dataset contact person. If applicable, the details will be incorporated. These data were compiled as part of the ACEAS working group project titled "Advancing the application of animal telemetry data in ecosystem management".

Scotia region natural saline vegetation survey. Honours Study for Uni of Ballarat. The SCOSAL96(Scotia region natural saline vegetation survey. Honours Study for Uni of Ballarat) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present.

Vegetation Survey of Washpool NP (some sites within this reserve are stored in JTH_GRP survey). The JTH_WP(Vegetation Survey of Washpool NP (some sites within this reserve are stored in JTH_GRP survey)) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present.

For some time, Remote Sensing Sciences, has produced Foliage Projective Cover (FPC) using a model applied to Landsat surface reflectance imagery, calibrated by field observations. An updated model was developed which relates field measurements of FPC to 2-year time series of Normalized Difference Vegetation Index (NDVI) computed from Landsat seasonal surface reflectance composites. The model is intended to be applied to Landsat and Sentinel-2 satellite imagery, given their similar spectral characteristics. However, due to insufficient field data coincident with the Sentinel-2 satellite program, the model was fitted on Landsat imagery using a significantly expanded, national set of field data than was used for the previous Landsat FPC model fitting. The FPC model relates the field measured green fraction of mid- and over-storey foliage cover to the minimum value of NDVI calculated from 2-years of Landsat seasonal surface reflectance composites. NDVI is a standard vegetation index used in remote sensing which is highly correlated with vegetation photosynthesis. The model is then applied to analogous Sentinel-2 seasonal surface reflectance composites to produce an FPC image at Sentinel-2 spatial resolution (i.e. 10&nbsp;m) using the radiometric relationships established between Sentinel-2 and Landsat in Flood (2017). This is intended to represent the FPC for that 2-year period rather than any single date, hence the date range in the dataset file name. The dataset is generally expected to provide a reasonable estimate of the range of FPC values for any given stand of woody vegetation, but it is expected there will be over- and under-estimation of absolute FPC values for any specific location (i.e. pixel) due to a range of factors. The FPC model is sensitive to fluctuations in vegetation greenness, leading to anomalies such as high FPC on irrigated pastures or locations with very green herbaceous or grass understoreys. A given pixel in the FPC image, represents the predicted FPC in the season with the least green/driest vegetation cover over the 2-year period assumed to be that with the least influence of seasonally variable herbaceous vegetation and grasses on the more seasonally stable woody FPC estimates. The two-year period was used partly because it represents a period relative to tree growth but was also constrained due to the limited availability of imagery in the early Sentinel-2 time series. The FPC dataset is constrained by the woody vegetation extent dataset for the FPC year.

NPWS Far South Coast Region validation Southern CRA Vegetation Map in Gulaga NP. The V_GULAGDP3(NPWS Far South Coast Region validation Southern CRA Vegetation Map in Gulaga NP) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present.