Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)

An acquisition and processing toolkit for open access phenology data.

A 3D Functionnal Structural Plant Model of perennial grasses morphogenesis and phenology

Spatio-Temporal Vegetation Segmentation By Using Convolutional Networks

Sentinel-2 Top-Of-Atmosphere Radiometric Uncertainty Propagator (Graf et al., 2023, IEEE-JSTARS)

DNN for phenological stage detection on herbarium specimens

This is a database of sightings of birds, moths, and butterfiles in support of the phenology mismatch project.

Evaluating anomalously early spring onsets in the 21st century

Spatiotemporal phenology research with interpretable models

Master's thesis scripts to process proximal remote sensing sensors

Nathan Rumsey's senior year International Science and Engineering Fair (ISEF) Project for the 2020-2021 school year.

This project focuses on classifying crop types in Noord Beveland, Netherlands, using multi-temporal NDVI data and a Random Forest classifier. The study achieves 93.18% overall accuracy by optimizing hyperparameters and analyzing feature importance, highlighting NDVI's sensitivity to crop phenology. Tools: Python and geospatial libraries.

Codes developed to conduct data analyses within the Spanish approach to the Marine Strategy Framework Directive

Synthetic models for phenology in mutualistic networks

CropMapping of Partially Anotated Time Series Satellite Images with 3D Convolutional Neural Networks