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.
A convenience tool for accessing Landsat archives
Automated extraction of calving front locations from multispectral Landsat imagery using deep learning
Stacking the Bands of Landsat Multi-Spectral Image to create a single TIF file
Visualizing bit flags in QGIS
ArcDEA: Digital Earth Australia ArcGIS Pro add-in.
Irish Earth Observation (IEO) remote sensing data processing Python module
Compute each pixel value of all the images in the input stack for generate the composed of the median, maximum value, pixels valid, last pixel valid and others.
Updated import pipeline for floating forests
Preprocess using the Balance Constrast Enhance Technique LANDSAT8 Geotifs for spectral analysis
The rectilinear box method is a well-established instrument for tracking glacier terminus change.
Tools for managing Earth observation data. Currently only supports Landsat imagery
An open dataset for pixel level classification of Landsat 7 and Landsat Imagery. The repo contains the code for classification as well as the error correction methods on top of it.
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
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