sheilasaia
Environmental data scientist studying the intersection of climate change, people, and water.
Tetra TechDurham, NC
sheilasaia's Stars
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
opengeos/Awesome-GEE
A curated list of Google Earth Engine resources
awesome-spectral-indices/awesome-spectral-indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
USEPA/elevatr
An R package for accessing elevation data
opengeos/whiteboxR
WhiteboxTools R Frontend
natcap/invest
InVEST®: models that map and value the goods and services from nature that sustain and fulfill human life.
DOI-USGS/dataretrieval-python
Python package for retrieving water data from USGS or the multi-agency Water Quality Portal
akrherz/iem
Code that makes the Iowa Environmental Mesonet run, or run into the ground.
PredictiveEcology/SpaDES
R package for developing and running Spatial Discrete Event Simulation models
ropensci/rinat
A programmatic interface to iNaturalist
jjrennie/GHCNpy
Package to import, analyze, and visualize data from the Global Historical Climatology Network - Daily (GHCN-D) Dataset 0
hzambran/hydroTSM
Time Series Management and Analysis for Hydrological Modelling
Permian-Global-Research/rsi
Code for Retriving STAC Information, addressing Repeated Spatial Infelicities and interfacing with Rsome Spectral Indices
IVFL-BOKU/sentinel2
R Package to access the Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products
adamancer/pyncei
Use Python to access data from NOAA's Climate Data Online Web Services v2 API
partytax/ncei-api-guide
A guide to the NCEIs suite of climate data APIs
AmberSJones/pyhydroqc
This software was designed with the purpose of anomaly detection and correction for time series water sensor data. This software was developed using the Logan River Observatory data set.
milos-agathon/mapping-river-basins-with-r
In this tutorial, I will show you how to use HydroSHEDS data to create a beautiful and informative map of Brazil’s river basins. You will learn how to download, process and visualize the HydroSHEDS data
natcap/invest.users-guide
The User's Guide for InVEST
asascience-open/nextgen-dmac
Public repository describing the prototyping efforts and direction of the Next-Gen DMAC project, "Reaching for the Cloud: Architecting a Cloud-Native Service-Based Ecosystem for DMAC"
google/project-eager
ioos/Cloud-Sandbox
IOOS' Coastal Modeling Cloud Sandbox provides a framework for developing, modifying and running models in the cloud. It provides repeatable configurations, model code and required libraries, input data and analysis of model outputs. The Sandbox supports not only the development of services and models, but also Cloud HPC to run and validate models.
ranghetti/sen2rts
Build and Analyse Sentinel-2 Time Series
DOI-USGS/ds-pipelines-targets-example-wqp
An example targets pipeline for pulling data from the Water Quality Portal (WQP)
realmiketalbot/Public
Public scripts
wri/natural-lands-map
Documentation for creating the Natural Lands Map for SBTN Target Setting
DOI-USGS/ds-pipelines-targets-1-course
Intro to Data Analysis Pipelines using `targets` for USGS Data Science
KDVdecisions/ChatGTP_Coursera
Student notes from Coursera's ChatGPT classes taught by Ng and Fulford. They provide examples in Python - I've created scripts to do the same tasks in R.
UNC-DATA-730/lecture-notebooks
USFWS/fwspp
Query species occurrence observations on USFWS properties