The dataset depicts the mapped occurrence of Phytophthora dieback on lands managed by the DBCA, identifying areas known to be infested. The data has been collected through the mapping of the presence or absence of Phythophthora dieback from the interpretation of large-scale colour aerial photography (1:4,500) and/or intensive ground survey

A data set containing vegetation extent polygons from the mapping of remnant vegetation in Western Australia. This was originally compiled as part of the vegetation theme of the National Land and Water Resource Audit (NLWRA). The data for the intensive land-use zone (ILZ) in south-western Australia was originally derived from 1995 LandSat TM satellite imagery and has been corrected using digital aerial photography (orthophotos) acquired 1996 to 2006. The extensive land-use zone (ELZ) is presumed to carry vegetation cover except for the major irrigated areas at Kununurra and Carnarvon. These have been removed from extent mapping for the ELZ. The dataset was progressively updated by the Department of Agriculture post-NLWRA with assistance the Department of Conservation and Land Management until 2020. A one-off update was carried out in May 2023. No further updates are planned.

__Note:__ This dataset has been archived since June 28, 2025 __Data is from the California Department of Public Health (CDPH) Respiratory Virus Weekly Report.__ The report is updated each Friday. __Laboratory surveillance data__: California laboratories report SARS-CoV-2 test results to CDPH through electronic laboratory reporting. Los Angeles County SARS-CoV-2 lab data has a 7-day reporting lag. Test positivity is calculated using SARS-CoV-2 lab tests that has a specimen collection date reported during a given week. Laboratory surveillance for influenza, respiratory syncytial virus (RSV), and other respiratory viruses (parainfluenza types 1-4, human metapneumovirus, non-SARS-CoV-2 coronaviruses, adenovirus, enterovirus/rhinovirus) involves the use of data from clinical sentinel laboratories (hospital, academic or private) located throughout California. Specimens for testing are collected from patients in healthcare settings and do not reflect all testing for influenza, respiratory syncytial virus, and other respiratory viruses in California. These laboratories report the number of laboratory-confirmed influenza, respiratory syncytial virus, and other respiratory virus detections and isolations, and the total number of specimens tested by virus type on a weekly basis. Test positivity for a given week is calculated by dividing the number of positive COVID-19, influenza, RSV, or other respiratory virus results by the total number of specimens tested for that virus. Weekly laboratory surveillance data are defined as Sunday through Saturday. __Hospitalization data__: Data on COVID-19 and influenza hospital admissions are from Centers for Disease Control and Prevention’s (CDC) National Healthcare Safety Network (NHSN) Hospitalization dataset. The requirement to report COVID-19 and influenza-associated hospitalizations was effective November 1, 2024. CDPH pulls NHSN data from the CDC on the Wednesday prior to the publication of the report. Results may differ depending on which day data are pulled. Admission rates are calculated using population estimates from the P-3: Complete State and County Projections Dataset provided by the State of California Department of Finance (https://dof.ca.gov/forecasting/demographics/projections/). Reported weekly admission rates for the entire season use the population estimates for the year the season started. For more information on NHSN data including the protocol and data collection information, see the CDC NHSN webpage (https://www.cdc.gov/nhsn/index.html). CDPH collaborates with Northern California Kaiser Permanente (NCKP) to monitor trends in RSV admissions. The percentage of RSV admissions is calculated by dividing the number of RSV-related admissions by the total number of admissions during the same period. Admissions for pregnancy, labor and delivery, birth, and outpatient procedures are not included in total number of admissions. These admissions serve as a proxy for RSV activity and do not necessarily represent laboratory confirmed hospitalizations for RSV infections; NCKP members are not representative of all Californians. Weekly hospitalization data are defined as Sunday through Saturday. __Death certificate data__: CDPH receives weekly year-to-date dynamic data on deaths occurring in California from the CDPH Center for Health Statistics and Informatics. These data are limited to deaths occurring among California residents and are analyzed to identify influenza, respiratory syncytial virus, and COVID-19-coded deaths. These deaths are not necessarily laboratory-confirmed and are an underestimate of all influenza, respiratory syncytial virus, and COVID-19-associated deaths in California. Weekly death data are defined as Sunday through Saturday. __Wastewater data__: This dataset represents statewide weekly SARS-CoV-2 wastewater summary values. SARS-CoV-2 wastewater concentrations from all sites in California are combined into a single, statewide, unit-less summary value for each week, using

This dataset contains UAV RGB imagery collected as part of a field trial to test the Uncrewed Aerial System to be used for the TERN Drone project. The UAS platform is DJI Matrice 300 RTK with 2 sensors: Zenmuse P1 (35 mm) RGB mapping camera and Micasense RedEdge-MX Dual (10-band multispectral sensor). P1 imagery were georeferenced using the onboard GNSS in M300 and the D-RTK 2 Mobile Station. Camera positions were post-processed using AUSPOS. Flight conducted between 10:26 am and 10:47 am AEDT at flying height 80 m, forward and side overlap set to 80%. RGB orthomosaic (resolution: 1 cm. CRS: EPSG 7855 - GDA2020 MGA Zone 55) generated using Agisoft Metashape Professional, and a cloud optimised GeoTIFF was created using rio command line interface.

This dataset contains the location of threatened flora sub-populations across the DBCA Wheatbelt Region and metrics that describe the level of fragmentation of remnant vegetation that each population is exposed to. Fragmentation metrics are based on remnant vegetation mapping and were calculated using ArcMap Near tools (distance metrics) and ArcMap Spatial Analyst focal statistics (proportion of remnant vegetation within a set area). Note: to access the data, select the data source link located on the right-hand side.

Swan Coastal Plain Remnant Vegetation in 2005. Part of a suite of polygon datasets that best represents remnants of original pre-1750 vegetation on the Swan Coastal Plain (DBCA-046) as at 2000, 2005, 2010, 2015 and 2020. The polygons represent interpreted areas of vegetation using current and historical digital aerial photography (1953-present) sourced from Landgate, Digital globe and Google. Simplified condition of the vegetation has been attributed.

Swan Coastal Plain Remnant Vegetation in 2010. Part of a suite of polygon datasets that best represents remnants of original pre-1750 vegetation on the Swan Coastal Plain (DBCA-046) as at 2000, 2005, 2010, 2015 and 2020. The polygons represent interpreted areas of vegetation using current and historical digital aerial photography (1953-present) sourced from Landgate, Digital globe and Google. Simplified condition of the vegetation has been attributed.