The Australian Phenology Product is a continental data set that allows the quantitative analysis of Australia’s phenology derived from MODIS Enhanced Vegetation Index (EVI) data using an algorithm designed to accommodate Australian conditions, described in Xie et al. 2023. The product can be used to characterize phenological cycles of greening and browning and quantify the cycles’ inter and intra annual variability from 2003 to 2018 across Australia. Phenological cycles are defined as a period of EVI-measured greening and browning that may occur at any time of the year, extend across the end of a year, skip a year (not occur for one or multiple years) or occur more than once a year. Multiple phenological cycles within a year can occur in the form of double cropping in agricultural areas or be caused by a-seasonal rain events in water limited environments. Based on per-pixel greenness trajectories measured by MODIS EVI, phenological cycle curves were modelled and their key properties in the form of phenological curve metrics were derived including: the first and second minimum point, peak, start and end of cycle; length of cycle, and; the amplitude of the cycle. Integrated EVI under the curve between the start and end of the cycle time of each cycle is calculated as a proxy of productivity.

Fruit phenology and abundance was sampled at the Robson Creek Rainforest site between 2011 - 2017.

Fruit phenology and abundance was sampled at the Samford Per-urban site between 2015 - 2016.

<p>Fixed cameras installed at the Tumbarumba Wet Eucalypt 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 regularly during daylight hours. Images and data products for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on a six monthly basis.</p> <p>The Tumbarumba Flux site was established in 2000 by CSIRO and started measurements in 2001. The 1 hectare (ha) SuperSite plot was established in 2015 in a collaboration with TERN. The overstorey is dominated by <em>Eucalyptus delegatensis</em> (alpine ash) and <em>Eucalyptus dalrympleana</em> (mountain gum). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/tumbarumba-wet-eucalypt-supersite/ . </p> <p>Other images collected at the site include photopoints, digital cover photography (DCP), and ancillary images of fauna and flora. </p>

<p>Fixed cameras installed at the Whroo Dry Eucalypt Affiliate 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 from 2013 to 2017 are made available. </p><p> The site was established in 2010 in box woodland dominated by <em>Eucalyptus microcarpa</em> (grey box) and <em>Eucalyptus leucoxylon</em> (yellow gum). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/whroo-dry-eucalypt-supersite/. </p><p>Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape, and ancillary images of fauna and flora. </p>

<p>Fixed cameras installed at the Litchfield Savanna 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 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> and <em>Eucalyptus tetrodonta</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/ . </p><p>Other images collected at the site include photopoints, digital cover photography (DCP), and ancillary images of flora. </p>

<p>Fixed cameras installed at TERN Daintree Rainforest SuperSite, Cape Tribulation 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>TERN Daintree Rainforest SuperSite, Cape Tribulation is located in lowland complex mesophyll vine forest near Cape Tribulation. The site has more than 80 species including canopy trees belonging to the <em>Meliaceae</em>, <em>Euphorbiaceae</em>, <em>Lauraceae</em>, <em>Myrtaceae</em> and <em>Apocynaceae</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 photopoints, digital hemispheric photography (DHP) and ancillary images of fauna and flora.</p>

<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>

<p>Fixed cameras installed at the Fletcherview Tropical Rangeland 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>Fletcherview Tropical Rangeland SuperSite was established in 2021 at James Cook University’s Fletcherview Research Station, a fully operational outback cattle station located 50&nbsp;km west of Townsville, Queensland. The site is used for cattle grazing and is characterised by tall open savanna. The vegetation is dominated by native grasses such as blackspear and kangaroo grasses, as well as introduced species like buffel grass, signal grass and leucaena. Fletcherview typically experiences a dry and wet season, with most rainfall occurring between January and April. </p> <p>Other images collected at the site include photopoints, digital cover photography (DCP), and ancillary images of fauna and flora. </p>

<p>Fixed cameras installed at the Gingin Banksia Woodland 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 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 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/.</p> <p>Other images collected at the site include photopoints, hemispherical upward photographs, and ancillary images of fauna and flora. </p>