Dimitris Poursanidis's Projects
Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.
AROSICS - Automated and Robust Open-Source Image Co-Registration Software
Project on Bathymetry (Water Depth) Mapping using LandSat satellite imagery
Global shoreline mapping tool from satellite imagery
code for the Allen Coral Atlas Monitoring system
A repository of custom scripts to be used with Sentinel Hub
D3 like plots creation with plotly in QGIS
Official deegree repository providing geospatial core libraries, data access and advanced OGC web service implementations
Code supporting the publication "A dynamic ocean management tool to reduce bycatch and support sustainable fisheries"
Code library to make operational EcoCast - a dynamic ocean management tool for fisheries bycatch
Atmospherically Corrected Time Series using Google Earth Engine
:exclamation: This is a read-only mirror of the CRAN R package repository. ENMeval — Automated Runs and Evaluations of Ecological Niche Models
Faster, better, smarter ecological niche modeling and species distribution modeling
Create Ecological Niche Models with TheMetaLand
Earth observation processing framework for machine learning in Python
Atmospheric correction of a (single) Sentinel 2 image
source code for google earth engine mapping routines
A workflow that uses time series satellite data and Google Earth Engine to map invasive tree species.
code for my class - GEO837 Remote Sensing of the Biosphere
Explore and visualise the results of boosted regression trees
A plugin of GWR(Geographically weighted regression) for qgis.
A procedure for autonomous reference data sampling, model training and image classification.
Code to process ICESat-2 ATL03 photon returns into refraction corrected bathymetry and collocate the data to reflectance values from Landsat 8 multispectral data (Processed in the SeaDAS program) to interpolate depth in optically shallow water.
Karlsruhe Library of Urban Materials (KLUM) - a spectral library containing material samples and relevant metadata
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Simulation of multiple ecological functional corridors