In Focus – Apollo Mapping Imagery & Academia: A Multi-Sensor Approach for VHR Vegetation Monitoring
Over the many years, Apollo Mapping has helped a countless number of academics and professors source the proper imagery for their grant-funded research budgets. Whether it is 8-band multispectral and short-wave infrared (SWIR) WorldView-3 satellite imagery for land-use land-cover mapping; 50-cm digital elevation models (DEMs) for archaeological research; or synthetic aperture radar (SAR) for monitoring weapons of mass destruction (WMDs) in remote regions, we have decades of expertise finding the correct geospatial data source for your next project.
Figure 33. Final vegetation classes as extracted from 8-band WorldView-3 satellite imagery.In this regular series, In Focus, we scour the internet to find former Apollo Mapping clients who used our satellite imagery and/or DEMs in their academic research. So without further ado, here is this month’s featured academic article.
Article Title, Author & Academic Institution: A Multi-Sensor Approach for VHR Vegetation Monitoring, William O. Weaver, University of Hawaiʻi at Mānoa
Key Scientific Discipline(s): geography, object-based image analysis, remote sensing, vegetation monitoring
Executive Summary: Object-oriented classification techniques were applied to 8-band WorldView-3 satellite imagery with validation from very high-resolution imagery sources, including drones and fixed cameras. The study’s results suggest that WorldView-3 can be used to estimate vegetative cover and achieve USDA Forest Service accuracy recommendations.
Commercial Satellite Imagery Datasets Used: 30-cm panchromatic and 1.2-m 8-band multispectral WorldView-3
Are you a former Apollo Mapping academic client who would like to feature your research in a future edition of In Focus? If so, send us an email at sales@apollomapping.com, we would be happy to hear from you again!
