Download geospatial data analytics for tree species distribution

FORESTRY / SPECIES DISTRIBUTION
GEOSPATIAL DATA ANALYTICS
FOR TREE SPECIES
DISTRIBUTION MAPPING
FORESTRY DECISION SUPPORT
This specialist forestry data product, used for mapping the
distribution of tree species, is derived by analysing optical and
radar satellite data to model the spatial distribution and
proportions of discrete tree species within a target area. Users can
easily identify the mix of species present within an area and the
spatial variations that exist.
+ See a spatial map of individual species distributions
+ Understand the distribution in species mix and density
+ Analyse and interpret associated commercial quality
FORESTRY / SPECIES DISTRIBUTION
DATA INPUTS
Multi-temporal, medium-resolution optical and radar satellite
image data:
+ 10m Optical, 10-day revisit frequency
+ 20m Synthetic Aperture Radar (SAR), 12-day revisit
frequency
DATA PROCESSING
Optical and SAR imagery are utilised in a machine learning
algorithm using a classification training database of species. The
use of multi-temporal, multispectral imagery and cloudpenetrating SAR backscatter allows for the spectral distinction
between species. A model has been created for relating spectral
input variables to species class, which is applied to all available
imagery for a site to assign each pixel a proportion and dominant
species class.
OUTPUTS
The output from this method is a spatial map of individual species
distributions and their relative proportions at a per-pixel level
(10m), that can be aggregated into compartment / stand totals,
while offering the variation within stand / compartment to be
analysed and interpreted to understand the spatial distribution in
species mix, density, and associated commercial quality.
PRICE / UPDATE FREQUENCY
Price on application. Based on biannual refreshes. Subject to
Rezatec's standard Terms and Conditions..
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