This dataset provides a time series of visible-wavelength digital camera imagery collected through the PhenoCam Network at each of 738 sites across diverse ecosystems of the world (mostly North America) from 2000-2023. Vegetation types such as deciduous broadleaf forests, grasslands, evergreen needleleaf forests, and agriculture are the best-represented. The raw imagery was used to derive information on phenology, including time series of vegetation color, canopy greenness, and phenology transition dates for the PhenoCam Dataset v3.0. The images are provided in JPEG format organized in compressed tar.gz archives by site and date. Site locations and basic metadata are included in a GeoJSON file.

This data set provides a time series of vegetation phenological observations for 393 sites across diverse ecosystems of the world (mostly North America) from 2000-2018. The phenology data were derived from conventional visible-wavelength automated digital camera imagery collected through the PhenoCam Network at each site. From each acquired image, RGB (red, green, blue) color channel information was extracted and means and other statistics calculated for a region-of-interest (ROI) that delineates an area of specific vegetation type. From the high-frequency (typically, 30 minute) imagery collected over several years, time series characterizing vegetation color, including canopy greenness, plus greenness rising and greenness falling transition dates, were summarized over 1- and 3-day intervals.

This dataset provides vegetation phenological observations for 738 sites across diverse ecosystems of the world (mostly North America) from 2000 to 2023. The phenology data were derived from conventional visible-wavelength automated digital camera imagery collected through the PhenoCam Network at each site. From each acquired image, RGB (red, green, blue) color channel information was extracted and summary statistics were calculated for a region-of-interest (ROI) that delineates an area of specific vegetation type. From the high-frequency (typically, 30 minute) imagery collected over several years, time series characterizing vegetation color, including canopy greenness, plus greenness rising and greenness falling transition dates, were summarized over 1- and 3-day intervals. These data products, consisting of 4805.5 site-years of observations, can be used for phenological modeling, to evaluate satellite remote sensing data products, to understand relationships between canopy phenology and ecosystem processes, to study the seasonal changes in leaf-level physiology that are associated with changes in leaf color, for benchmarking earth system models, and for studies of climate change impacts on terrestrial ecosystems. The data are provided in comma separated values (CSV), TIFF image, text, JSON, and GeoJSON formats.

High quality digital images are captured using a digital SLR camera at the plots (core 1 hectare vegetation plot) at the TERN Boyagin Wandoo Woodland 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 White, el al. (2012) AusPlots Rangelands Survey Protocols Manual Version 1.2.9. The Boyagin Wandoo Woodland SuperSiteis in the Boyagin Nature Reserve, approximately 12 km west of Pingelly, Western Australia. This location is in the Avon Wheatbelt (AW2-rejuvenated drainage subregion) and has semi-arid (dry) warm Mediterranean climate. The Noongar people are the traditional owners at Boyagin. For additional site information, see https://https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/boyagin-wandoo-woodland-supersite/ . Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras, five-photopoint images and ancillary images of fauna and flora.

High quality digital images are captured using a digital SLR camera at the plots (core 1 hectare vegetation plot) at the TERN Gingin Banksia Woodland 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 White, el al. (2012) AusPlots Rangelands Survey Protocols Manual Version 1.2.9. TERN’s Gingin Banksia Woodland SuperSite is on the Swan Coastal Plain, approximately 10 km southwest of Gingin and 80km north of Perth, Western Australia. The site sits in a natural woodland of high species diversity (overstorey dominated by Banksia spp) that overlays the Gnangara groundwater mound, Perth’s most important groundwater resource. The site is 2 km from the University of Western Australia International Gravity Wave Observatory. The traditional owners at Gingin are the Yued group of the Noongar People. For additional site information, see https://www.tern.org.au/tern-ecosystem-processes/gingin-banksia-woodland-supersite/ . Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras, five-photopoint images and ancillary images of fauna and flora.

High quality digital images are captured using a digital SLR camera at the plots (core 1 hectare vegetation plot, Callitris and Floodplain) at the TERN Calperum Mallee 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 White, el al. (2012) AusPlots Rangelands Survey Protocols Manual Version 1.2.9. The Calperum Mallee SuperSite was established in 2011 and is located on Calperum Station with research plots located in mallee woodland (burnt in 2014), Callitris woodland and a river floodplain (recovering from extensive grazing), consisting of black box, river red gum and lignum. The core 1 ha plot is located in mallee woodland. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/calperum-mallee-supersite/ . Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras, five-photopoint images and ancillary images of fauna and flora.

This metadata references a comma-delimited file describing 492 digitized prints of large-format photographs from 160 viewpoints. The photographic images themselves are referenced in a separate metadata file entitled "Photographs Showing Change in Riparian Vegetation in the Grand Canyon, 1889-2012". The viewpoints were first photographed by Stanton in 1889-1890, and then re-photographed in about 1989-1992 and 2010-2012. This set of photos focuses on change in riparian vegetation and partially overlaps a larger set of Stanton viewpoints re-photographed by Webb and others and available at http://wwwpaztcn.wr.usgs.gov/fscc/stanton-repeat-photography/index.php. The file of descriptive information gives viewpoint stake number, name, and river mile, and documents occurrence of the exotic shrub Tamarix ramosissima, changes in cover of native and invasive woody riparian vegetation, occurrence of Diorhabda spp., the beetle introduced to control Tamarix, reductions in cover of native Prosopis glandulosa, changes in cover of vegetation in the old high-water zone, occurrence of the native shrubs Baccharis spp., Salix exigua, Pluchea sericea, Acacia greggii, and additional notes.

This metadata references a comma-delimited file describing 492 digitized prints of large-format photographs from 160 viewpoints. The photographic images themselves are referenced in a separate metadata file entitled "Photographs Showing Change in Riparian Vegetation in the Grand Canyon, 1889-2012". The viewpoints were first photographed by Stanton in 1889-1890, and then re-photographed in about 1989-1992 and 2010-2012. This set of photos focuses on change in riparian vegetation and partially overlaps a larger set of Stanton viewpoints re-photographed by Webb and others and available at http://wwwpaztcn.wr.usgs.gov/fscc/stanton-repeat-photography/index.php. The file of descriptive information gives viewpoint stake number, name, and river mile, and documents occurrence of the exotic shrub Tamarix ramosissima, changes in cover of native and invasive woody riparian vegetation, occurrence of Diorhabda spp., the beetle introduced to control Tamarix, reductions in cover of native Prosopis glandulosa, changes in cover of vegetation in the old high-water zone, occurrence of the native shrubs Baccharis spp., Salix exigua, Pluchea sericea, Acacia greggii, and additional notes.

Comprehensive Reserve Assessment Lower North East Aerial Photo Interpretation Mapping Project.; ; Map of broad floristic types for the Lower North East NSW CRA region. Mapping followed conventional API techniques to record broad floristic groups and eucalypt subformations on clear plastic overlays at a scale of 1:25 000. The information exists as an alphanumeric code string, reflecting the floristic composition of the canopy. Overlays were scanned and converted into a rectified, attributed, topographically correct digital dataset. Photo information was compiled into 1:100 000 tiles for the project area but was later combined into a merged Upper North East NSW dataset.; ; Areas where vegetation mapping already existed at an adequate scale and classification, were included within this broad dataset. Some of those areas had been mapped by external agencies eg. councils and therefore licensing was required to cover this. ; ; ANZLIC ID ANZNS0208000081; ; VIS ID 1082