David Ketchum

Landsat578. Very simple API to download Landsat [1-5, 7, 8] data from Google

satellite_image. Python package to process images from Landsat tellites and return geographic information, cloud mask, numpy array, geotiff.

EEMapper. Google Earth Engine Automated Annual Mapping of Irrigated Lands

IrrMapper. Computer Vision Approaches to Automate Mapping of Irrigated Lands

dem. Easy Python DEM getter. Collect elevation data from AWS or Thredds, merge, reproject, resample. No API key needed!

MT_Rsense. Python

swim-rs. Soil Water balance Inverse Modeling using Remote Sensing

SSEBop. Operational Simplified Surface Energy Balance Model

irr_expansion. Is irrigation in the U.S. West intensifying?

irr_impacts. impacts of irrigation on streamflow

raster-vision. An open source framework for deep learning on satellite and aerial imagery.

Metio. Simple Python API to get Agrimet, Gridmet, and TopoWX data from the web and into a raster or Dataframe.

flux_stations. finding, downloading eddy covariance station data

etrm. The EvapoTranspiration and Recharge Model

pyWeatherQAQC. Python script for the QA/QC of data from weather stations

GSSHA. Utilities to assist in file preparation and interpretation associated with the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) Model.

MoistrMapper. inverse modeling of soil moisture with Landsat data

iwu_projection. Project irrigation water use based on historical remote sensing ET and climate projection data

handily. Python Relative Elevation Model Processing Package