A geospatial raster processing library for machine learning
A scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform
Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017
Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.
Object-Based Image Analysis Tools for Radiative Transfer Modeling
A Collection of Python Codes that work in QGIS (Quantum GIS) that work on Orthomosaic Maps Generated by Aerial Photogrammetry Software such as the free to use VisualSFM or commercial software DroneDeploy or PIX4D. The Goal of these codes is to create free to use classification and NDVI on orthomosaics generated using freeware or trial versions o…
XType extension for WeeWX to provide solar energy, "Grünlandtemperatursumme" (a kind of growing degree days) and "dayET" and "ET24" as some kind of opposite to "dayRain" and "rain24"
A first order radiative transfer model for soil- and vegetation related parameter retrievals from radar-data
Sentinel-2 Top-Of-Atmosphere Radiometric Uncertainty Propagator (Graf et al., 2023, IEEE-JSTARS)
Source code of my procedural distribution system of vegetation for my master thesis in 2019.
Recognize vegetation patches in Irish natural places
QGIS module for calculating Vegetation Indexes on Sentinel-2 multispectral images. There are two branches: "Master" which supports photographs downloaded from scihub and "landviewer" which stands for photographs downloaded from eos-landviewer.
Continuous foliar cover maps of vegetation species and aggregates for North American Beringia (arctic and boreal Alaska and Yukon).
Prediction of vegetation coverage maps from High Density Lidar data, in a weakly supervised deep learning setting.
Search and analysis of STV Precursor Coincident Datasets
Auto-encoder for vegetation classification.
A python script to apply VARI,GLI and VIGREEN vegetation indexes in a set of user defined images
Scripts to create tree species classification models from NEON Science hyperspectral and vegetation data. Created as part of my master's thesis in GeoInformatics at Hunter College, 2023.
Object detection work done for the OpenOrbiter REU program at UND. See website for full work
Derive Vegetation Characteristics from Drone imagery
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