Earth Observation Data Analysis Library
Browse, filter, preview and download Planet Inc imagery in QGIS.
Can we use Planet high-resolution imagery and machine learning to assess snow cover?
Optimizing Deep Learning Models for Classifying Urban Land Cover.
[IAC 2024] This repository contains the code used in our paper, "Business Innovation in Commercial Space: Culture and Trends in Earth Observation." This paper analyzes trends in time-series company financial data for six commercial earth observation companies. Paper: https://hollydinkel.github.io/assets/pdf/IAC2024.pdf
SAM segmentation + CNN pipeline for farmland vs. metropolitan classification on Planet Labs satellite imagery — 85% accuracy on 100K images. UCR Geospatial Lab research (MSRIP 2024).
FireSpec: hyperspectral wilfdife analysis of the January 2025 Los Angeles fires using Planet Tanager-1's 426-band imagery: burn-severity mapping (dNBR/MESMA/BARC), live fuel-moisture estimation, and multi-temporal recovery trajectories. Submission to the Planet Tanager Open Data Competition.
Learning projects — ML, financial data pipelines, and Python development
Search and Download utilities for Planet Labs API.
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