Raster Vision Archives | Page 2 of 10

Change detection with Raster Vision

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.

Spatial Analysis

Machine Learning to Drive Urban Resilience: Mapping Tree Canopy with the World Bank

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.

Software Engineering

The Azavea Cloud Dataset

By James McClain on August 2nd, 2021

Azavea is releasing a dataset consisting of 32 unique Sentinel-2 tiles with cloud labels produced by humans.

1976 Synthetic Aperture Radar image of Willow Run Airport and vicinity, representing 15-foot (5 meter) resolution.

Company

Labeling SAR Imagery for Machine Learning: A Beginners Guide

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.

Images of imagery overtop of grid paper.

Software Engineering

Introducing Raster Vision 0.13

By Adeel Hassan on April 26th, 2021

This release presents a major jump in Raster Vision's power and flexibility. The newly added features allow for finer control of the model training as well as greater flexibility in ingesting data.

Screenshot of GroundWork application Campaign feature.

Company

GroundWork Launches Campaigns

By Niki LaGrone on March 31st, 2021

Need to create a training dataset that contains multiple images? GroundWork launches "Campaigns" to help you handle large datasets for machine learning.