Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.
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Updated
Aug 12, 2025 - Jupyter Notebook
Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.
R package: A state-of-the-art Vegetation Phenology extraction package, phenofit
Multi-seasonal remote sensing analysis suite: composites, land cover classification, phenology, hydroperiod and SAR processing with Google Earth Engine
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.
R package: Extract Remote Sensing Vegetation Phenology by TIMESAT V3.3 Fortran library (only for windows)
Acquire and process open access phenology data.
Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)
A repository folder regarding phenology extraction scripts utilizing existing packages (i.e. TIMESAT, CropPhenology) and proposing new methodologies
An open-source, modular research platform for generating reproducible biological datasets. Also a food production system design submission to the NASA/CSA Deep Space Food Challenge.
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 …
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
Evaluation tools for assessing climate adaptation of fruit tree species
Extract phenological data from digitized herbarium specimens
An updated version of the DDRP platform (from v2) that uses newer R packages ("terra" and "sf"). 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.
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