Steven Pestana (spestana)

spestana

Geek Repo

Company:@Mountain-Hydrology-Research-Group

Location:Seattle, WA

Home Page:https://spestana.github.io/

Twitter:@stevenpest

Github PK Tool:Github PK Tool


Organizations
Mountain-Hydrology-Research-Group
snowex-hackweek

Steven Pestana's repositories

goes-ortho

Functions for downloading GOES-R ABI imagery, orthorectifying with a DEM, creating timeseries for a single point from a stack of ABI images

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sensor-bands

Table of satellite sensor bands in the visible to infrared wavelengths

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goes-ortho-builder

Orthorectify and stack GOES imagery into a zarr file

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data-analysis

Staging area for class website

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jupyterbook-template

Template repository for UW Hackweek JupyterBook websites

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2024-hackweek-website

GeoSmart Hackweek website 2024

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CER_timeseries_analysis

local CER timeseries analysis scripts from WY2021 and WY2023 snow monitoring field site datasets

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earth_ai_book_materials

The repo contains the source code, notebooks, and technical resources that assist students to read the book Artificial Intelligence in Earth Science.

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event-page-2024

Event page for combined event with schedule and team

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goes-clouds

Comparisons of the GOES-R ABI Cloud Mask product with in situ observations

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gtsa

Methods to stack geospatial rasters and run memory-efficient computations.

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hackweeks-as-a-service

eScience Institute supports hackweeks for community education and collaboration

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High_resolution_snow_cover_mapping

Mapping snow covered areas (SCA) from high-resolution PlanetScope images using Random Forest model

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HLS-SCA

Research into application of random forests in snow coverage mapping.

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metloom

Location Oriented Observed Meteorology

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RAPID_raster_analysis

Cle Elum Ridge RAPID lidar data analysis

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sample_project_repository

Project template for Hackweek projects

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scm_geosmart_use_case

ML for Snow Cover Mapping: A GeoSMART Use Case Book

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simple-template

minimal jupyterbook

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skagit-met

Exploring meteorology data for use in hydrologic modeling of the Skagit River basin

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splashpage

Splash page for hackweek event advertisement and links to past events

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website-2024

Event-specific jupyterbook for 2024 hackweek

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