Wetland Vegetation Map of Narran Lakes Using Multi-Sensor Data
Updated 23d ago
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Description
A June 2024 to June 2025 wetland vegetation map for Narran Lakes produced by the NSW Department of Climate Change, Energy, the Environment and Water. It was created using a machine learning classification workflow incorporating Sentinel-1 radar, Sentinel-2 optical, LiDAR, and terrain data. The product serves as a landscape-scale baseline for environmental water planning and conservation management in the Murray-Darling Basin.
Use Cases
Environmental water planning based on landscape-scale wetland vegetation classification.
Conservation management and monitoring based on vegetation height, cover, and structural heterogeneity derived from LiDAR.
Wetland-state interpretation based on seasonal optical and radar time series metrics.
Baseline reporting for the Murray-Darling Basin based on NSW PCT-aligned vegetation classes.
Strengths
Uses a multi-sensor approach combining Sentinel-1 radar, Sentinel-2 optical, 1m LiDAR, and terrain predictors.
Training data was reviewed by an expert vegetation ecologist using high-resolution imagery and field context.
Modeling follows a published Random Forest framework adapted with cluster-guided sampling and AlphaEarth embeddings.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Data may reflect geographic and temporal bias inherent to the specific 2024-2025 analysis period and Narran Lakes location.
Provenance
Source
NSW Department of Climate Change, Energy, the Environment and Water
Collection Method
Machine learning classification workflow using cluster-guided training and Random Forest modeling on multi-sensor remote sensing data.
Time Range
Primary analysis period: June 2024 to June 2025. Map window: September 2024 to March 2025.
Freshness
Last updated 2026-05-13 00:53:24.484860; freshness should be verified.
Geography
Narran Lakes, likely within the Murray-Darling Basin, Australia.
License is CC-BY-4.0. File formats are PDF and ZIP; the specific data format within the ZIP is unknown.