Federico Filipponi's Projects
ACOLITE_MR: Atmospheric correction for aquatic applications of metre-scale satellites
Set of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time series and to detect deforestation/forest cover loss in near real-time. The package includes functions to apply the approach to both, single pixel time series and raster time series. Examples and test data are provided below.
R package for Spatial analysis of Mosquito reports from Citizen Science
Turn (almost) any Python command line program into a full GUI application with one line
:exclamation: This is a read-only mirror of the CRAN R package repository. hsdar — Manage, Analyse and Simulate Hyperspectral Data
QGIS Processing tool to perform zonal statistics for raster data over vector polygons, weighted by fractional pixel area
R package for Raster Time Series Analysis
Sentinel-2 Shift DataBase
Standard workflow for the preprocessing of Sentinel-1 GRD satellite data
Workflow to setup LANDSAT8 OLI data to be processed with Biophysical Processor
Water Color Data Analysis System