13 skills found
MeteoSwiss / OpendataMeteoSwiss' continuosly updated Open Data documentation
MeteoSwiss / Publication OpendataThis repository is deprecated, and will soon be taken offline. Please switch to the continuously updated, valid Open Data documentation via the link below.
earthobservations / PhenodataAn acquisition and processing toolkit for open access phenology data.
PlantPhenoOntology / PpoAn ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.
Agri-Hub / Cotton Phenology DatasetNo description available
eea / Clms Hrvpp Tools PythonTools for using high-resolution vegetation phenology and productivity (HR-VPP) data from Copernicus Land Service
bbarker505 / Ddrp V2A 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 written entirely in the R statistical programming language (R Development Core Team 2019), making it flexible and extensible, and has a simple command-line interface that has already been adapted for online use. The platform can use a variety of gridded weather and climate data types for any historical (post-hoc), real-time, or future (downscaled GCM) time period. Model products include gridded (raster) and graphical outputs of number of completed generations, phenological/pest events, and climate suitability (i.e., establishment risk maps). The platform is described in a peer-reviewed paper in PLoS ONE (https://doi.org/10.1371/journal.pone.0244005).
findable-no / Phenology DataStuff for the talk about phenology at Netlight on April 23rd 2025
usa-npn / Npn Viz ToolA web interface for interacting and visualizing data from the USA National Phenology Network
Digdgeo / PyVPPPython class to download the Pan European High Resolution Vegetation Phenology and Productivity
SandroGroth / PhenoRSR package for automated phenology metrics extraction from remotely sensed data.
Osondu-ifunanya / Vegetation Phenology Modeling With Temporal ML Algorithms E.g. LSTM TCNs This project models vegetation phenology using synthetic NDVI data and an LSTM neural network, simulating seasonal vegetation changes and forecasting future NDVI trends for remote sensing and ecological studies.
wleuenberger / PhenologyShinyPhenology data and shiny creation