Python library for loading and iterating over climate and flow time series data (from ACIS/NOAA RCCs, CoCoRaHS, Hydromet/USBR, CNRFC ESP/NWS, SNOTEL/AWDB/NRCS, and NWIS/USGS)

Python package to read Web Mercator map tiles from USGS Historical Topographic Maps

A part of HyRiver software stack for accessing hydrology data through web services

The MetadataWizard is a useful tool designed to facilitate FGDC metadata creation for spatial and non-spatial data sets. It is a cross-platform desktop application built using an open-source Python architecture.

GeMS Tools for ArcGIS Pro

A part of HyRiver software stack for getting topography data within the US through 3D Elevation Program (3DEP)

Python package to Create, Read, Write, Edit, and Visualize GSFLOW models

Tools used to manipulate hydrograph data; Solinst xles to pandas dataframe; hydrograph analysis; hydrology; Gannt Charts; Piper diagrams; hydrogeology; wells; groundwater; USGS data; WQP data;

🔍 🌐Query and Order Landsat Surface Reflectance data via ESPA

Simple Python wrapper of the USGS/EROS Inventory Service Machine-to-Machine API as described in the documents at https://m2m.cr.usgs.gov/api/docs/json/

Python library for accessing elevation data

Serverless USGS Historical Topographic map tiles

A python-based pipeline to query the USGS Historical Topographic Map Collection (HTMC) and to download, spatially aggregate, and mosaic large amounts of individual map sheets.

A simple python library for reading lidar point clouds from .las files

Python interface to espa-api

🌊 📉 A Python, Django, Plotly, and Pandas web application that visualizes river data in real time, pulled using an API from the United States Geological Survey (USGS).

Ninhursag is a visual mineral resource index based on US Geologic Survey statistics. Find the new frontend at: https://github.com/peterhil/ninhursag-site

Python implementation of the VS2D unsaturated zone model

Programa em Python para listar terremotos acima de 6 graus, ocorridos nos últimos 30 dias.

MBK Python scripts for scraping water data from the web