By Adeel Hassan on September 28th, 2022
In this blog we demonstrate how an active learning approach can boost machine learning model performance with the human-in-the-loop workflow.
Benchmarking Zarr and Parquet Data Retrieval using the National Water Model (NWM) in a Cloud-native environment
By Vijay Lulla, Lewis Fishgold and Terence Tuhinanshu on September 22nd, 2022
In order to benchmark efficiency, we take a deep dive into Zarr and Parquet data retrieval to compare performance on various time scales.
By Adeel Hassan on April 18th, 2022
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.
By Niki LaGrone on February 4th, 2022
As one of seven pilot programs to address environmental issues in Africa, Azavea trained student workers to label satellite imagery using GroundWork and created a machine learning model to identify tree canopy.
By Niki LaGrone on April 27th, 2021
SAR imagery is having a moment. In this blog we explore what exactly it is, why it is so special, and tips for labeling it.