phenology
There are 3 repositories under phenology topic.
lewistrotter / PhenoloPy
Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.
Language:Jupyter Notebook 69- Language:R 67
ncsuSEAL / Bayesian_LSP
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.
Language:R 41eco-hydro / TIMESAT.R
R package: Extract Remote Sensing Vegetation Phenology by TIMESAT V3.3 Fortran library (only for windows)
Language:R 27- Ndvi2GifLanguage:Jupyter Notebook 25
earthobservations / phenodata
An acquisition and processing toolkit for open access phenology data.
Language:Python 24EOA-team / sentinel2_crop_traits
Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)
Language:Python 18- Language:R 18
antonkout / phenology_tools
A repository folder regarding phenology extraction scripts utilizing existing packages (i.e. TIMESAT, CropPhenology) and proposing new methodologies
Language:Jupyter Notebook 11- PeaPod
PeaPodTechnologies / PeaPod
PeaPod is a cloud-connected automated plant growth environment, designed as both a distributed phenotype research tool, and a precision agriculture food production.
Language:C++ 10 bbarker505 / ddrp_v2
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 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).
Language:R 9- lgrass
openalea-incubator / lgrass
A 3D Functionnal Structural Plant Model of perennial grasses morphogenesis and phenology
Language:Python 8 Sentinel-2 Top-Of-Atmosphere Radiometric Uncertainty Propagator (Graf et al., 2023, IEEE-JSTARS)
Language:Python 7keillernogueira / spatio-temporal-phenological-segmentation
Spatio-Temporal Vegetation Segmentation By Using Convolutional Networks
Language:Python 7tlorieul / herbarium-phenology-dnn
DNN for phenological stage detection on herbarium specimens
Language:Python 6phenomismatch / sightings-database
This is a database of sightings of birds, moths, and butterfiles in support of the phenology mismatch project.
Language:Python 5- Language:R 4
mheskel / PhenoCam-Lab-368
PhenoCam Lab for BIOL 368
Language:R 4rafelafrance / herbarium_phenology
Extract phenological data from digitized herbarium specimens
Language:Jupyter Notebook 4Carm1r / fruclimadapt
Evaluation tools for assessing climate adaptation of fruit tree species
Language:R 3phenology / springtime
Spatiotemporal phenology research with interpretable models
Language:Python 3zmlabe / EarlySpringOnset
Evaluating anomalously early spring onsets in the 21st century
Language:Python 3ConstantinZohner / Autumn-phenology-Science-2023
R code for Zohner et al. (2023)
Language:HTML 2- AGILE_LDP_Phenology
derekmichaelwright / AGILE_LDP_Phenology
Understanding photothermal interactions can help expand production range and increase genetic diversity of lentil (Lens culinaris Medik.)
Language:HTML 2 - Language:R 2
egiron / pywheat
Python library for simulation of wheat phenological development, crop growth and yield.
Language:Jupyter Notebook 2johnypark / Phenocam-Tropics
Goals, progress, and issues on phenocam leaf phenology analysis.
satlawa / proj_time_series_analysis
Phenology of Georgia (Caucasus). Phenology is derived from NDVI (Modis satellite).
Language:Jupyter Notebook 2shangharsha2929 / ASA
Master's thesis scripts to process proximal remote sensing sensors
Language:Python 2IndraTeja / OldWomanCreek
Understand and Evaluate Datasets(phenology) for decision support by performing data cleaning, data management and document data manupulation and analysis processes for reproducible work. Using RStudio and R skills to develop descritive statitics and plotting, in turn providing presentable information for decision support for target audience.
Language:HTML 1jmus2235 / MEE_Spatial_Temporal_Sampling_Design
R, Python and JavaScript code for the the National Ecological Observatory Network’s Airborne Observation Platform (AOP) sampling design and publication, "Spanning Scales: The Airborne Spatial and Temporal Sampling Design of the National Ecological Observatory Network"
Language:R 1- Language:HTML 1
- Language:C++ 1
TCKnight8 / General_Phenology
A place to store my current phenology tool code.
- Language:Python 0
moienr / CropMapping
CropMapping of Partially Anotated Time Series Satellite Images with 3D Convolutional Neural Networks
Language:Python 0
