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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,855 datasets
A vector polygon dataset maps tree canopy cover in the Australian Capital Territory (ACT) as of April/May 2020. The data was derived from LiDAR scans at an average resolution of 12 points per square meter and processed to represent vegetation above 3 meters. It was created by Aerometrex under contract for the ACT Government and is available via the ACT Geospatial Data Catalogue.
Australian Capital Territory (ACT) canopy cover polygons at 1m resolution, representing vegetation above 3m height as of April/May 2020. The dataset was derived from LiDAR data acquired by Aerometrex and processed using ArcPro tools, with building footprints and NDVI layers used to refine results. It is provided by the ACT Government Geospatial Data Catalogue.
April/May 2020 LiDAR data from Aerometrex was processed to create a 1-meter resolution map of vegetation cover above 3 meters for the Australian Capital Territory. The dataset consists of district-based canopy cover polygons, derived from a canopy height model and cleaned using building footprints and NDVI layers. It is provided by the ACT Government Geospatial Data Catalogue.
LiDAR data acquired in April/May 2020 was processed to create a 1-meter resolution vector map of tree canopy cover above 3 meters for the Australian Capital Territory. The dataset was produced by Aerometrex under contract for the ACT Government and processed using ArcPro and satellite imagery to refine results. It is available in multiple formats including CSV, GeoJSON, and GPKG.
ACT Canopy Cover 2020 1m CANBERRA is a geospatial dataset of vegetation cover above 3 meters for the Australian Capital Territory. The dataset was created by the ACT Government using LiDAR data acquired in April/May 2020 and processed to a 1-meter resolution vector format. It includes polygons split into districts and 1km tiles for easier access.
Australian Capital Territory canopy cover polygons at 1 meter resolution, representing vegetation above 3 meters as of April/May 2020. The data was derived from LiDAR acquired by Aerometrex and processed using DSM, DEM, and NDVI layers. The ACT Government Geospatial Data Catalogue provides this vector dataset, split into districts and 1km tiles.
ACT Government Geospatial Data Catalogue provides district-based canopy cover polygons for the Australian Capital Territory. The data represents vegetation above 3 meters, derived from LiDAR acquired in April/May 2020 at 1-meter resolution. Processing involved creating a Canopy Height Model and removing non-vegetative surfaces using satellite imagery.
April/May 2020 LiDAR-derived canopy cover polygons for the Australian Capital Territory, representing vegetation above 3 meters at a 1-meter resolution. The dataset was processed by Aerometrex and the ACT Government, using a canopy height model derived from Digital Surface and Elevation Models. It is available as vector polygons, split into districts and 1km tiles for easier access.
April/May 2020 LiDAR data acquired for the Australian Capital Territory at an average resolution of 12ppm was processed to create a map of district-based canopy cover polygons. The ACT Government Geospatial Data Catalogue (ACTmapi) produced this dataset, which represents vegetation cover above 3 meters. Processing involved creating a Canopy Height Model from Digital Surface and Elevation Models and removing non-vegetative surfaces using NDVI layers.
The Australian Capital Territory (ACT) canopy cover map at 1-meter resolution, derived from LiDAR data acquired in April/May 2020. The ACT Government processed the data to represent vegetation above 3 meters, using techniques like DSM/DEM subtraction and NDVI filtering. The dataset is available in multiple vector formats and is split into districts and 1km tiles for easier access.
A geospatial vector dataset of tree canopy cover in the Australian Capital Territory (ACT) at 1-meter resolution. It was created from LiDAR data acquired in April/May 2020 by Aerometrex and processed using DSM/DEM subtraction and NDVI filtering. The dataset represents vegetation above 3 meters tall and is provided by the ACT Government Geospatial Data Catalogue.
Canopy cover polygons for the Australian Capital Territory derived from LiDAR data acquired in April/May 2020. The dataset represents vegetation cover above 3 meters in height and has been processed into district-based and 1km tile vector formats. It was created by the ACT Government using data from Aerometrex.
The Australian Capital Territory (ACT) canopy cover map delineates vegetation above 3 meters at 1-meter resolution. It was derived from LiDAR data acquired in April/May 2020 by Aerometrex and processed using a detailed methodology involving DSM, DEM, CHM, and NDVI layers. The dataset is provided by the ACT Government Geospatial Data Catalogue.
ACT Government Geospatial Data Catalogue provides a vector dataset of canopy cover polygons for the Australian Capital Territory. The data represents vegetation above 3 meters, derived from LiDAR acquired in April/May 2020 and processed to 1-meter resolution. The dataset is split into districts and 1km tiles for easier viewing.
LiDAR data acquired in April/May 2020 at an average resolution of 12ppm was processed to create a vector dataset of canopy cover polygons for the Australian Capital Territory. The dataset represents vegetation above 3 meters, with building footprints and NDVI layers used to refine the results. It was produced by the ACT Government Geospatial Data Catalogue (ACTmapi) and last updated in April 2026.
Australian Capital Territory (ACT) canopy cover polygons at 1-meter resolution, representing vegetation above 3 meters as of April/May 2020. The dataset was derived from LiDAR data acquired in April/May 2020 by Aerometrex and processed using a detailed methodology involving DSM, DEM, CHM, and NDVI layers. It is provided by the ACT Government Geospatial Data Catalogue.
Eight water samples were collected from Litopenaeus vannamei aquaculture systems. The dataset contains measurements for salinity, pH, chemical oxygen demand, soluble reactive phosphate, dissolved inorganic nitrogen, and total suspended solids. It was authored by Xiaodan Pu and last updated on 2026-04-29.
Four foxtail millet varieties were subjected to six priming chemicals at two concentrations each in laboratory and field experiments. The dataset includes results such as an 86.44% germination percentage under NaCl priming and grain yields up to 3.93 t ha⁻¹. It was authored by A. K. M. Mominul Islam and last updated on 2026-04-29.
Bangladesh-based laboratory and field experiments on four foxtail millet varieties subjected to six chemical priming treatments. The dataset includes measurements for germination percentage, seedling vigor, and grain yield across winter and summer seasons. It was created by A. K. M. Mominul Islam and last updated on 2026-04-29.
Snow Water Equivalent products from the European Environment Agency describe the equivalent amount of liquid water stored in the snow pack. The data is provided as daily 5-kilometer resolution raster imagery covering the northern hemisphere. It is used for applications like flood forecasting, water resource management, and climate change research.