Data Scientist Tesera Systems Inc., Quebec, Canada
This presentation showcases a novel approach to classifying and stratifying forest stands at high resolution. This automated approach uses a variety of remote sensed data to create GIS-ready land cover polygons in the foothills of the Sierra Nevada Mountains (central California). It is cost effective, timely, scalable, repeatable and flexible.
Learning Objectives:
Upon completion, participants will be able to identify and compare conventional vs. new innovative approaches used for delineating forest polygons. They will be able to better describe the important steps in creating a high resolution forest inventory, including developing accurate linework and GIS-ready polygons.
Upon completion, participants understand the application (eg: object-based image analysis workflows, land cover and image feature classification), and the benefits associated with better detail of land cover separation for vegetation cover (forest stands, grasslands, shrubs and crops); water bodies (rivers, lakes, streams); wetlands and bare land areas.
