Tools
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PlotToSat
Efficient extraction of Sentinel-1 and Sentinel-2 time series across multiple regions, processed on the Google Earth Engine cloud platform.
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DASOS
Extraction of structural features from 3D windows and 2D metrics, and creation of 3D polygonal meshes from rasterised LiDAR data to tackle uneven point density.
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PlotToSat
- Open-source, scalable tool for generating Sentinel-1 and Sentinel-2 time-series signatures from distributed field plots and polygons
- Built using the Python API of Google Earth Engine, addressing major computational bottlenecks in EO data extraction
- Processed 18.3 TB of multi-tile Sentinel-1 and Sentinel-2 data for 15,962 forest plot regions across Spain in under 24 hours,
- Application on tree genera classification across Spain using NDVI time-series, revealing intra-genus heterogeneity - More info
- Used for land cover change detection at Samarra Archaeological City, indicating agricultural expansion - More info soon.
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DASOS
- Rasterised-based accumulation of LiDAR data into a 3D density volume for tackling uneven scanning patterns.
- Extraction of structural features from 3D windows and generation of 2D metrics for use in machine learning models.
- Construction of 3D polygonal meshes for realistic forest visualization.
- Used for estimating stand structure and diversity in Brazilian Atlantic Forests - More info.
- Used for detecting dead standing Eucalypt trees in native Australian forests - More info.
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Tools
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