Ireland Forest Disturbance from Earth Observation (IForDEO) model
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Updated
Mar 9, 2020 - Python
Ireland Forest Disturbance from Earth Observation (IForDEO) model
A set of utilities which can be used with EODataDown for data analysis. For example, useful plugins and batch processing tools.
Create mosaicJSON for Landsat imagery
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Estimating the extent of Giant Kelp Forests by segmenting Landsat imagery
Python package to estimate Land Surface Temperatures from Google Earth Engine's Landsat imagery
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Visualizing bit flags in QGIS
ArcDEA: Digital Earth Australia ArcGIS Pro add-in.
Automated extraction of calving front locations from multispectral Landsat imagery using deep learning
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GRASS GIS Addon to remove clouds (e.g. Sentinel-2, Landsat), aiming at filling raster gaps using r.series and r.series.lwr and aggregates temporally the maps of a space time raster dataset by a user defined granularity using t.rast.aggregate
Convert Raw Landsat Data from Digital Number to Surface Reflectance using the Visible Infra-red bands and composite (band stacking) the scene bands. Estimate LST from thermal bands
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