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    The linear seasonal persistent green trend is derived from analysis of the seasonal persistent green product over time. The current version is based on the 1987-2014 period. <br> Seasonal persistent green cover is derived from seasonal fractional cover using a weighted smooth spline fitting routine. This weights a smooth line to the minimum values of the seasonal green cover. This smooth minimum is designed to represent the slower changing green component, ideally consisting of perennial vegetation including over-storey, mid-storey and persistent ground cover. The seasonal persistent green is then summarized using simple linear regression, and the slope of the fitted line is captured in this product. The original units are percentage points per year. Values are later truncated and scaled.

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    An estimate of persistent green cover per season. This is intended to estimate the portion of vegetation that does not completely senesce within a year, which primarily consists of woody vegetation (trees and shrubs), although there are exceptions where non-woody cover remains green all year round. It is derived by fitting a multi-iteration minimum weighted smoothing spline through the green fraction of the seasonal fractional cover (dim) time series.

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    <p>Fixed cameras installed at the Cumberland Plain SuperSite provide a time series of fine scale data as a long-term record of vegetation structure and condition. This dense time series of phenocam images provides data for analysis of ecological responses to climate variability, and when consolidated across the entire terrestrial ecosystem research network, supports calibration and validation of satellite-derived remote sensing data, ensuring delivery of higher quality results for broader scale environmental monitoring products.</p> <p>Images are captured half hourly during daylight hours. Images and data products, including timeseries of the Green Chromatic Coordinate (Gcc) for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on an almost real-time basis.</p> <p>The Cumberland Plain SuperSite was established in 2012 in a protected remnant of Shale Gravel Transition Forest, located on the Hawkesbury Campus of the University of Western Sydney in New South Wales. The vegetation at the site and in the images is dominated by <i>Eucalyptus moluccana</i> and <i>E. fibrosa</i>, which have hosted a population of mistletoe (<i>Amyema miquelii</i>); a subcanopy of <i>Melaleuca decora</i> is visible in some gaps. More ecological details about the site are available in Griebel et al. (2021). The ecosystem is subject to pressure from altered fire regimes, urban development, conversion to agriculture and extreme climate events. However, the forest patch at the site is in excellent condition with the exception of edge effects. For additional site information, see https://deims.org/a1bb29d8-197c-4181-90d8-76083afd44bb/ .</p> <p>Other images collected at the site include photopoints, digital cover photography (DCP), and ancillary images of fauna and flora.</p>

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    Field spectroradiometer measurements have been collected at several locations across Australia (formally known as the AusCover Supersites) to relate field based measurements to satellite data products, such as Landsat and MODIS NBAR products. The Hyperspectral ground-based data is used for calibration and validation of at-surface reflectance of airborne hyper-spectral image data. Once the at-surface reflectance values of the hyper-spectral image data have been validated, the data can be used for up-scaling to medium spatial resolution Landsat and MODIS data for cal/val of NBAR products.

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    <p>Fixed cameras installed at TERN Daintree Rainforest SuperSite, Cow Bay provide a time series of fine scale data as a long-term record of vegetation structure and condition. This dense time series of phenocam images provides data for analysis of ecological responses to climate variability, and when consolidated across the entire terrestrial ecosystem research network, supports calibration and validation of satellite-derived remote sensing data, ensuring delivery of higher quality results for broader scale environmental monitoring products.</p> <p>Images are captured half hourly during daylight hours. Images and data products, including timeseries of the Green Chromatic Coordinate (Gcc) for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on an almost real-time basis.</p> <p>TERN Daintree Rainforest SuperSite, Cow Bay is classed as complex mesophyll vine forest and has an average canopy height of 30 m. The site has 91 species with dominant canopy trees belonging to the <em>Arecaceae</em>, <em>Euphorbiaceae</em>, <em>Rutaceae</em>, <em>Meliaceae</em>, <em>Myristicaceae</em> and <em>Icacinaceae</em> families. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/daintree-rainforest-supersite/.</p> <p>Other images collected at the site include ancillary images of fauna and flora.</p>

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    FosSahul is the first database compiling the ages of nonhuman vertebrate fossils from the Middle Pleistocene to the present in the Sahul region. It includes comprehensive metadata with ratings of reliability allocated to each fossil age. Because ecological and evolutionary phenomena are time-dependent, the entire range of archaeological and palaeontological research disciplines benefit from the availability of this data.

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    <p>This dataset contains audio files for TERN Calperum Mallee SuperSite. Two acoustic recorders were set up to each record for a total of 12 hours per day, split between six hours around dawn and six hours around dusk. The recording schedule aimed at capturing morning and evening bird choruses while minimizing memory and battery requirements. One recorder was located at the Flux tower site on the gentle slope of a sand hill, while the second recorder was located in a swale area between sand hills about a kilometre from the Flux tower.</p> <p>Long-term recordings of the environment can be used to identify sound sources of interest, characterise the soundscape, aid in the assessment of fauna biodiversity, monitor temporal trends and track environmental changes.</p> <p>Calperum Mallee SuperSite was established in 2010 and is located on Calperum Station, near Renmark, in South Australia. The property was a pastoral grazing lease for nearly 150 years, and suffered grazing-induced modifications to its ecosystems that are now being actively restored following removal of sheep in 1994. The area includes mallee woodlands (a significant amount was burnt in January 2014) and riverine vegetation. The mallee species are multi-stemmed Eucalyptus trees (<em>Eucalyptus dumosa</em>, <em>E. incrassata</em>, <em>E. oleosa</em> and <em>E. socialis</em>) while the sparsely distributed mid-storey species come from <em>Eremophila</em>, <em>Hakea</em>, <em>Olearia</em>, <em>Senna</em> and <em>Melaleuca</em> genera. The spaced understory is predominately clumps of spiny grass (<em>Triodia spp.</em>). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/calperum-mallee-supersite/.</p>

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    The acquisition of sunphotometer measurements are critical to capture vital data on atmospheric properties during airborne hyperspectral imaging campaigns as well as for measurements coinciding with the overpass of satellite sensors. The atmospheric properties measured are used in atmospheric correction of the remotely sensed image data. This data is primarily for input into atmospheric correction systems. It may also prove of use in validation of aerosol products such as MOD04 and the reflectance change method developed as part of CRC-SI project 4.1 which may be integrated into the Auscover 19 band reflectance product processing. It can also be used to check methods that produce water vapour directly from the data (SODA). The MicroTops instruments referred to here capture solar radiance data in 5 wavelengths which are used to extract information on aerosol optical thickness and water vapour content. These two key parameters of interest are used as inputs for the atmospheric correction of remotely sensed image data.

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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 Litchfield Savanna SuperSite was established in 2013 in Litchfield National Park. Site selection was influenced by the history of long-term monitoring work undertaken in this area by the Darwin Centre for Bushfire Research (formerly Bushfires NT). The core 1ha plot is dominated by <em>Eucalyptus miniata</em>. The site is representative of the dominant ecosystem type across northern Australia: frequently burnt tropical savanna in high rainfall areas. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/litchfield-savanna-supersite/ . <br /> Phenocam images and photopoints are also collected at the site.

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    <p>Tree structural characteristics are collected at the centre of a site, usually in conjunction with the Statewide Landcover and Trees Study (SLATS) star transect field data. The basal wedge is first used to identify a sample of trees then direct measurements are taken of each tree, which constitute the tree structural characteristics.Tree structural measurements have been collected at several locations across Australia (including the formally known AusCover Supersites) to relate field-based measurements to satellite data products, such as Landsat-derived ground cover estimates.</p> <p>Data can be downloaded from https://field.jrsrp.com/ by selecting the combination Field and Tree Structure.</p>