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. 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. Fletcherview Tropical Rangeland SuperSite was established in 2021 at James Cook University’s Fletcherview Research Station, a fully operational outback cattle station located 50 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. Other images collected at the site include photopoints, digital cover photography (DCP), and ancillary images of fauna and flora.

Fixed cameras installed at the Great Western Woodlands 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. 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. The Great Western Woodlands SuperSite was established in 2012 in the Credo Conservation Reserve. The site is in semi-arid woodland and was operated as a pastoral lease from 1907 to 2007. The core 1 ha plot is characterised by Eucalyptus salmonophloia (salmon gum), with Eucalyptus salubris and Eucalyptus clelandii dominating other research plots. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/great-western-woodlands-supersite/. Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape, and ancillary images of fauna and flora.

Fixed cameras installed at the Mitchell Grass Rangeland Site 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. 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. Mitchell Grass Rangeland Site is located at Rosebank Station, approximately 11 km south-east of Longreach, Queensland. The site is characterised by black vertosol soil and arid tussock grassland with a variety of grass species including Astrebla lappacea and Astrebla squarrosa that supports sheep and beef cattle grazing. For additional site information, see Mitchell Grass Rangeland SuperSite . Other images collected at the site include photopoint and ancillary images of fauna and flora.

Fixed cameras installed at the Warra Tall 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. 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 a regular basis. The Warra Tall Eucalypt SuperSite was established in 2012 and is located in a stand of tall, mixed-aged Eucalyptus obliqua forest (1.5, 125 and >250 years-old) with a rainforest / wet sclerophyll understorey and a dense man-fern (Dicksonia antarctica) ground-layer. The site experienced a fire in January 2019, which consumed the ground layer and killed a high proportion of the understorey trees but stimulated dense seedling regeneration. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/. Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape, and ancillary images of fauna and flora.

Fixed cameras installed at the Wombat Stringybark 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. 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. The site was established in 2010 in the Wombat State Forest in Central Victoria. The site is dry eucalypt forest with main species Eucalyptus obliqua, Eucalyptus radiata and Euclayptus rubida. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/wombat-stringybark-eucalypt-supersite/. Other images collected at the site include photopoints, digital cover photography (DCP), and ancillary images of fauna and flora.

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. Images are captured half hourly during daylight hours. Images from 2013 to 2017 are made available. The site was established in 2010 in box woodland dominated by Eucalyptus microcarpa (grey box) and Eucalyptus leucoxylon (yellow gum). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/whroo-dry-eucalypt-supersite/. Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape, and ancillary images of fauna and flora.

Fixed cameras installed at the plots (core 1 hectare vegetation plot and Ridgefield) at TERN Boyagin Wandoo 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. 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. The Boyagin Wandoo Woodland SuperSite was established in 2017 at the Boyagin Nature Reserve with research plots located in Wandoo woodland (Eucalypt sp.). The core 1 ha plot is located in a dense Eucalypt woodland, while Ridgefield subsite is located within an area of dryland agriculture. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/boyagin-wandoo-woodland-supersite/ . Other images collected at the site include digital cover and hemispherical photography (DCP and DHP) and ancillary images of fauna and flora.

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. 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. 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/. Other images collected at the site include photopoints, hemispherical upward photographs, and ancillary images of fauna and flora.

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. 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 Eucalyptus miniata. 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/ . Phenocam images and photopoints are also collected at the site.

Fixed cameras installed at the Alice Mulga 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. 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. The Alice Mulga SuperSite was established in 2010 at Pine Hill Cattle Station with research plots located in low open woodland Mulga (Acacia aneura) and non-Acacia, hummock grassland, and river red gum forest. The core 1 ha plot is located in a dense Mulga woodland (cover 70–80%), while the Ti Tree East subsite is located in a mosaic of hummock grassland/Corymbia savanna with patches of Mulga/tussock grass. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/alice-mulga-supersite/ . Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape and ancillary images of fauna and flora.