David Ketchum's repositories
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.
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.
cloud-free-scene-counts
Generate monthly cloud free Landsat scene counts
CraigslistScraper
Craigslist Scraper is a web scraper for craigslist, it allows users to define searches then pulls all data from a search and places it neatly inside of a json file.
earthengine-catalog
Earth Engine Public Data Catalog in STAC form
et-demands
Remote Sensing-Driven Dual Crop Coefficient Soil Water Balance
flatten_geometry
Create a mosaic of non-overlapping geometries using PyQGIS internals
flopy
A Python package to create, run, and post-process MODFLOW-based models.
gsflow-arcpy
GSFlow ArcPy Tools
GSFLOW-GRASS
Generates inputs for and runs the coupled groundwater-surface water model "GSFLOW"
hydrofunctions
A suite of convenience functions for working with hydrology data in an interactive Python session.
IrrMapperHumid
Automate Irrigated Lands Mapping in Humid Regions
itype
Automate irrigation type mapping using remote sensing imagery
ketchum_rf
random forest from scratch, to explore the IrrMapper dataset
MIHMS
The Montana Integrated Hydrologic Modeling System code repository.
openet-ssebop-beta-1
Earth Engine SSEBop ET Model
pyemu
python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)