A series of Python-based Jupyter notebooks analyzing wildfire dynamics and fire science across Tribal lands. Integrates environmental data/geospatial analytics with Indigenous Data Sovereignty, including CARE, FAIR, OCAP, and IEEE 2890-2025, to demonstrate how sovereignty can be embedded as a first principle in geospatial workflows.
FEDS-PEC: python library designed to facilitate benchmarking and evaluation of geospatial data, specifically tailored for FEDS fire perimeters. This module allows users to compare fire perimeters with reference datasets and perform various calculations
The repository supporting our webpage
High-performance GUI dashboard for extracting and tracking firebrand thermal data from FLIR radiometric files (SEQ, CSQ, NC). Features real-time detection, batch CSV export, interactive colormaps, and native support for compressed NetCDF4 files via SEQ-CSQ-compressor.
The Joint Fire Science Program (JFSP) funds scientific research on wildland fires and distributes results to help policymakers, fire managers and practitioners make sound decisions. Operated jointly by the U.S. Departments of the Interior and Agriculture, JFSP coordinates the Fire Science Exchange Network across regional knowledge nodes.
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