Python implementation of Data Mining Sharpener

Python code for running ProspectD and 4SAIL Rasiative Transfer Models

Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler

🥷 A Python package for efficient processing of spectral images

RAG-powered graph-based research assistant.

code for the paper Event-Based Hydrological Signatures to Quantify Soil Moisture Parameters in Agricultural Soils Under Contrasting Irrigation Practices in Humid Climates

A raster analysis zonal statistics tool, which calculates percent coverage of a selected land use for a given area within a Jupyter Notebook file. No GIS software necessary.

An open-source, low-code machine learning library in Python

Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine

Tutorials and content created by Earth Engine users, for Earth Engine users

A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Energy Balance Closure Analysis and Eddy Flux Data Validation

Geospatial Ecology and Remote Sensing Lab

Advanced remote sensing lessons developed in October 2015 at the NEON / Data Carpentry Spatio-temporal data lesson hackathon. These lessons are under development.

Code accompanying paper "Quantifying soil moisture control on light use efficiency across biomes" (Stocker et al., 2018 New Phytologist).

Python Examples for Remote Sensing