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Colombian Hacienda Individual Tree Geolocation Data
Data Science and Analytics
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About
Detailed census data concerning individual trees, derived from high-resolution remote sensing imagery of Hacienda San José in Vichada, Colombia. The information was processed for the year 2023 using specialised AI models and the TreeEyed QGIS Plugin. This product offers specific metrics related to tree dimensions and geographic location, providing essential input for analysing tree characteristics and their spatial distribution across the area.
Columns
- label: The default identifier assigned to each individual tree.
- area_m2: The area of the tree canopy, expressed in square meters.
- perim_m: The perimeter measurement of the tree canopy, expressed in meters.
- a_diam_m: The approximate diameter of the tree canopy, calculated on the assumption that the canopy is circular with the equivalent area.
- circ: The circularity measure of the tree canopy shape; a value of 1.0 indicates a perfect circle.
- h_mean: The mean estimated height of the tree, recorded in meters.
- h_min: The minimum estimated height of the tree, recorded in meters.
- h_max: The maximum estimated height of the tree, recorded in meters.
- lon: The longitude coordinate of the tree location (the centroid of the polygon) in EPSG:4326.
- lat: The latitude coordinate of the tree location (the centroid of the polygon) in EPSG:4326.
Distribution
The primary data is structured as a CSV file (
hsj_trees.csv), complemented by a shapefile containing polygons representing each tree. The data includes 10 columns and approximately 32.7 thousand valid records. The file size is 4.88 MB. Updates to this data product are expected to occur annually.Usage
- Forestry Management: Utilise the metrics for planning and understanding the spatial arrangement and characteristics of tree populations.
- Environmental Monitoring: Support detailed assessment of forest health and biodiversity via precise dimensional and height data.
- Remote Sensing Research: Inform research focusing on the application of AI for the detection and characterisation of trees.
- Agricultural Sciences: Provide insights into canopy structure and growth patterns relevant to agricultural practices.
- Spatial Analysis: Enable the mapping and spatial evaluation of tree locations within earth and environmental science studies.
Coverage
The geographic focus is Hacienda San José, situated in Vichada, Colombia. The temporal scope of the data covers the year 2023. The scope includes detailed physical attributes for individual trees, specifically canopy area, perimeter, diameter, circularity, and estimations of height, all measured in meters.
License
CC0: Public Domain
Who Can Use It
- Environmental Scientists requiring precise biophysical measurements for ecological modelling.
- Foresters and Land Managers interested in inventorying tree resources and planning interventions.
- Geospatial Analysts performing spatial analysis or generating high-resolution maps of tree distribution.
- AI/Machine Learning Researchers working on algorithms for remote sensing object detection and characterisation.
Dataset Name Suggestions
- Vichada Tree Dimension Census 2023
- Colombian Hacienda Individual Tree Geolocation Data
- Remote Sensing Tree Metrics: Vichada
Attributes
Original Data Source:Colombian Hacienda Individual Tree Geolocation Data
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