KMarkert
Cloud Geographer @google | PhD in Civil Engineering (hydrology) from @BYU-Hydroinformatics
@googleHuntsville, AL
Pinned Repositories
api-nwm-gcp
REST API backed by National Water Model data, developed on Google Cloud Platform
geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
cartoee
Publication quality maps using Earth Engine and Cartopy
EarthEngine.jl
Google Earth Engine in Julia
hymod
Implementation of the HYMOD rainfall-runoff model in Python and Julia
neuralhydrology-on-gcp
Example repo to train and deploy models from the NeuralHydrology framework with Google Cloud
restee
Python package to call processed EE objects via the REST API to local data
servir-vic-training
Training materials for the VIC hydrologic model setup developed for the @SERVIR program
hydra-floods
HYDrologic Remote sensing Analysis for Floods Python package
fierpy
Python implementation of the Forecasting Inundation Extents using REOF
KMarkert's Repositories
KMarkert/EarthEngine.jl
Google Earth Engine in Julia
KMarkert/restee
Python package to call processed EE objects via the REST API to local data
KMarkert/hymod
Implementation of the HYMOD rainfall-runoff model in Python and Julia
KMarkert/hydrate
Python package to setup and run hydrologic models using data from Earth Engine
KMarkert/EmpiricalOrthogonalFunctions.jl
Julia package for calculating Empirical Orthogonal Functions from spatiotemporal datasets.
KMarkert/neuralhydrology-on-gcp
Example repo to train and deploy models from the NeuralHydrology framework with Google Cloud
KMarkert/sacsma
Python implementation of the Sacramento-Soil Moisture Accounting model
KMarkert/EarthEngineREST.jl
Julia package to send REST API requests to Google Earth Engine
KMarkert/Hymod.jl
HYMOD model implementation in Julia
KMarkert/dineof-ee-gcp
Example running the DINEOF on GCP services using data from Earth Engine
KMarkert/GEOGloWS.jl
Julia package to request data from the GEOGloWS streamflow service API
KMarkert/LohmannRouting.jl
Implementation of the Lohmann streamflow routing model in Julia
KMarkert/ee-workshop-esa2023
Earth Engine workshop material for ESA 2023
KMarkert/phd-data-fusion-water
Repository for code and script from first paper of my PhD
KMarkert/SACSMA.jl
Julia implementation of the Sacramento Soil Moisture Accounting Model (SAC-SMA)
KMarkert/simple-cmr
Python package to query NASA's Common Metadata Repository and download data with a simple and intuitive API
KMarkert/bq-usgs-nwis-functions
Repo to set up to remotely call USGS NWIS API for gauge data into BigQuery tables
KMarkert/Conferences
presentations and posters from the Conferences
KMarkert/earthengine-jupyter
Tools for working with the Earth Engine from a Jupyter development environment
KMarkert/FIER_NOAA_VIIRS_WF
KMarkert/mesop
Rapidly build AI apps in Python
KMarkert/MuskingumRouting.jl
Implementation of the Muskingum routing procedure in Julia
KMarkert/neuralhydrology
Python library to train neural networks with a strong focus on hydrological applications.
KMarkert/ogc-ee-gmp-demo
Repo for a demo at the 2023 OGC Members Meeting highlighting Earth Engine and Google Maps Platform visualizations
KMarkert/phd-fier-scaling
Repository for code and script from my PhD on running FIER for large areas
KMarkert/rapid
Routing Application for Parallel computatIon of Discharge (RAPID)
KMarkert/RAPID_jll.jl
KMarkert/RVIC
RVIC Streamflow Routing Model
KMarkert/Wflow.jl
Hydrological modeling
KMarkert/Yggdrasil
Collection of builder repositories for BinaryBuilder.jl