Spatiotemporal phenology research with interpretable models
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Updated
May 24, 2024 - Python
Spatiotemporal phenology research with interpretable models
Synthetic models for phenology in mutualistic networks
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.
repo for the EREN-NEON Biodiversity WK - invasive plant phenology
Writing my masters thesis for submission to Methods in Ecology and Evolution
Code repository for the project "RII Track-2 FEC: Marshalling Diverse Big Data Streams to Understand Risk of Tick-Borne Diseases in the Great Plains" supported by NSF EPSCoR (IIA-1920946)
Repository for the research project "PhenomEn" (Swiss National Science Foundation) - PhD thesis Lukas Valentin Graf
CropMapping of Partially Anotated Time Series Satellite Images with 3D Convolutional Neural Networks
R package: A state-of-the-art Vegetation Phenology extraction package, phenofit
A final production version of the DDRP platform that includes cohorts, parallel processing, and improving mapping routines. The objective of the Degree-Day, establishment Risk, and Pest event mapping system (DDRP) is to predict phenology and climate suitability of invasive, biocontrol, and IPM species for the conterminous United States. DDRP is …
Focusing the GWAS Lens on days to flower using latent variable phenotypes derived from global multi-environment trials. The Plant Genome. (2022) e20269.
Python library for simulation of wheat phenological development, crop growth and yield.
Understanding photothermal interactions can help expand production range and increase genetic diversity of lentil (Lens culinaris Medik.)
Library to create Multi Seasonal remote sensing indexes composites
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.
The PiCam time-lapse camera system. A nRF52840 managed, low power sensor node and Raspberry Pi camera system designed for autonomous operations in remote regions for the collection of vegetation phenology data
Extract phenological data from digitized herbarium specimens
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