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).
this repo contain the source code for data visualization portal for rasuwa flood.
Search and Download utilities for Planet Labs API.
Matched-filter methane detection for Planet Tanager-1 hyperspectral imagery, with a validation chain that separates CH₄ absorption from surface mineralogy. Work in progress; detection method not yet validated.
Learning projects — ML, financial data pipelines, and Python development
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