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    High quality digital images are captured using a digital SLR camera at the plots (core 1 hectare vegetation plot) at the TERN Mitchell Grass Rangeland SuperSite using the panoramic photopoint method. The panoramic photopoint method may be the most informative in open forests/woodlands and rangelands. Three photopoints are established configured in an equilateral triangle (2.5m sides) with the centre marked with a star dropper and the location recorded with DGPS. At each photopoint take photographic sequences in a 360° panorama, with up to 40 photographs with a minimum 50% overlap between consecutive photographs. For more information about the method, see <a href= 'http://dx.doi.org/10.13140/2.1.4287.3607'>White, el al. (2012) AusPlots Rangelands Survey Protocols Manual Version 1.2.9.</a> <br> The Mitchell Grass Rangeland SuperSite is located at Rosebank Station approximately 11 km south-east of Longreach in Queensland. The site is arid tussock grassland with a variety of grass species including <em>Astrebla lappacea</em> and <em>Astrebla squarrosa</em> over black vertosol soil that supports sheep and beef cattle grazing. Traditional owners at this site are the Iningai people. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/mitchell-grass-rangeland-supersite/ . <br /><br /> Five-photopoint images are also collected at the site.

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    This product provides locations of areas affected by fire including the approximate day of burning. Inputs are daily day time observations from MODIS sensors on Terra and Aqua. Observations are atmospherically corrected and the resulting time series is investigated for sudden changes in reflectance, persistent over multiple days. Variations in observation and illumination geometry are taken into account through application of a kernel driven Bidirectional Reflectance Distribution Function (BRDF) model.

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    The seasonal fractional cover product shows representative values for the proportion of bare, green and non-green cover, created from a time series of Sentinel 2 imagery. It is a spatially explicit raster product, which predicts vegetation cover at medium resolution (10 m per-pixel) for each 3-month calendar season. The green and non-green fractions may include a mix of woody and non-woody vegetation. This model was originally developed for Landsat imagery, but has been adapted for us with Sentinel-2 imagery to produce a 10 m resolution equivalent product.

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    Digital Hemispheric Photography (DHP) upward-looking images are collected up to three times per year to capture vegetation cover at Boyagin Wandoo Woodland SuperSite. These images can be used to estimate Leaf area index (LAI), Crown Cover or Foliage Projective Cover (FPC). The Boyagin Wandoo Woodland SuperSite was established in 2017 in Wandoo Woodland, which is surrounded by broadacre farming. About 80% of the overstorey cover is <em>Eucalyptus accedens</em>. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/boyagin-wandoo-woodland-supersite/ . Digital Cover Photography was also collected at Boyagin from 2019.

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    High quality digital site reference images are captured for the core 1 hectare vegetation plot of the site on an annual basis to provide context for researchers to understand the general layout and vegetation of the study site, and as a visual reference to monitor any changes over time. Photopoints will be taken annually using the five point photopoint method. The set of images for each year usually consists of twenty images: four images taken at each corner of the plot facing each of the four cardinal points, and four images taken from the centre of the plot facing each corner. <br /><br /> The Mitchell Grass Rangeland SuperSite is located at Rosebank Station approximately 11 km south-east of Longreach in Queensland. The site is arid tussock grassland with a variety of grass species including <em>Astrebla lappacea</em> and <em>Astrebla squarrosa</em> over black vertosol soil that supports sheep and beef cattle grazing. Traditional owners at this site are the Iningai people. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/mitchell-grass-rangeland-supersite/ . <br /><br /> Panoramic images are also collected at the site.

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    High quality passive infrared wildlife cameras were used to acquire information on faunal biodiversity at the site. Two cameras were deployed from July to Dec 2018 and between March and May 2019. <br /><br /> The Gingin Banksia Woodland SuperSite was established in 2011 and is located in a natural woodland of high species diversity with an overstorey dominated by Banksia species. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/gingin-banksia-woodland-supersite/. <br /> Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras and ancillary images of flora.

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    The dataset contains maps of total % C<sub>3</sub> and C<sub>4</sub> plant cover, proportional C<sub>3</sub> and C<sub>4</sub> vegetation (relative to combined C<sub>3</sub> and C<sub>4</sub> cover), and vegetation &delta;<sup>13</sup>C isoscape (stable carbon isotope values) across Australia. Data are centered on year 2015. We used vegetation and land-use rasters to categorize grid-cells (100 m<sup>2</sup>) into woody (C<sub>3</sub>), native herbaceous (C<sub>3</sub> and C<sub>4</sub>), and herbaceous cropland (C<sub>3</sub> and C<sub>4</sub>) cover. TERN Ecosystem Surveillance field surveys and environmental factors were regressed to predict native C<sub>4</sub> herbaceous cover. These layers were combined and a &delta;<sup>13</sup>C mixing model was used to calculate site-averaged &delta;<sup>13</sup>C values.

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    This dataset consists of images of fauna, flora, fungi or general scenery or events captured at the site on an ad-hoc basis and may provide the researcher with information regarding the species that occupy, frequent or traverse this site.<br /> <br /> The Mitchell Grass Rangeland SuperSite is located at Rosebank Station approximately 11 km south-east of Longreach in Queensland. The site is arid tussock grassland with a variety of grass species including <em>Astrebla lappacea</em> and <em>Astrebla squarrosa</em> over black vertosol soil that supports sheep and beef cattle grazing. Traditional owners at this site are the Iningai people. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/mitchell-grass-rangeland-supersite/ . <br /><br /> Panoramic images and photopoints are also collected at the site.

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    The dataset consists of composited seasonal surface reflectance images (4 seasons per year) created from the full time series of Sentinel-2 imagery. The imagery has been composited over a season to produce imagery which is representative of that period, using techniques which will reduce contamination by cloud and other problems. This creates a regular time series of reflectance values which captures the variability at seasonal time scales. The benefits are a regular time series with minimal missing data or contamination from various sources of noise as well as data reduction. Each season has exactly one value (per band) for each pixel (or is null, i.e., missing), and the value for that season is assumed to be the representative of the whole season. The algorithm is based on the medoid (in reflectance space) over the time period (the medoid is a multi-dimensional analogue of the median), which is robust against extreme values. The seasonal surface reflectance is of the 6 TM-like bands (Blue, Green, Red, NIR, SWIR1, SWIR2), all at 10 m resolution. This dataset is intended to be a 10 m equivalent of the Landsat surface reflectance, using only Sentinel-2. The two 20m bands are resampled using cubic convolution. The pixel values are scaled reflectance, as 16-bit integers. To retrieve physical reflectance values, the pixel values should be multiplied by 0.0001.

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    High quality digital site reference images are captured for the core 1 hectare vegetation plot of the site on an annual basis to provide context for researchers to understand the general layout and vegetation of the study site, and as a visual reference to monitor any changes over time. Photopoints will be taken annually using the five point photopoint method. The set of images for each year usually consists of twenty images: four images taken at each corner of the plot facing each of the four cardinal points, and four images taken from the centre of the plot facing each corner. <br /> The Gingin Banksia Woodland SuperSite was established in 2011 and is located in a natural woodland of high species diversity with an overstorey dominated by Banksia species. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/gingin-banksia-woodland-supersite/. <br /> Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras and ancillary images of fauna and flora.