Software Engineering
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The Bread and Butter of Software Development: Informing My Learning Through Professional Baking
Azavean Rachele Morino outlines her career transition from baking to software engineering, and where the two professions overlap.
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The Bread and Butter of Software Development: Informing My Learning Through Professional Baking
Azavean Rachele Morino outlines her career transition from baking to software engineering, and where the two professions overlap.
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Automated Building Footprint Extraction (Part 3): Model Architectures
Reviewing model architectures for building footprint extraction including naive approaches, model improvement strategies, and recent research.
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Automated Building Footprint Extraction (Part 2): Evaluation Metrics
In the second part of our Automated Building Footprint Extraction series, we review some evaluation metrics for building footprint extraction.
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Automated Building Footprint Extraction (Part 1): Open Datasets
In the first installment of this three-part blog series, we summarize some of the latest research on automated building footprint extraction.
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14 Years of Helping to Manage Stormwater in Philadelphia
A recap of Azavea’s partnership with the Philadelphia Water Department to support stormwater management through Philadelphia’s Green City, Clean Waters plan.
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A Human-in-the-Loop Machine Learning Workflow for Geospatial Data
In this blog we demonstrate how an active learning approach can boost machine learning model performance with the human-in-the-loop workflow.
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Benchmarking Zarr and Parquet Data Retrieval using the National Water Model (NWM) in a Cloud-native environment
In order to benchmark efficiency, we take a deep dive into Zarr and Parquet data retrieval to compare performance on various time scales.
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How to code-split GeoJSON layers for your MapBoxGL.js React apps
A recent project required us to implement an interactive map of the United States with a custom counties layer. This is what we learned.
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Change detection with Raster Vision
This blog explores the direct classification approach to change detection using our open-source geospatial deep learning framework, Raster Vision, and the publicly available Onera Satellite Change Detection (OSCD) dataset.
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Cloud Optimized Formats: NetCDF-as-Zarr Optimizations and Next Steps
At Element 84 we help groups rethink how they approach technology and are particularly focused on supporting migration to the cloud. As we moved from local hard drives to the cloud, there are things we took for granted when it came to file formats. On your own hard drive reads are cheap and latency is…