Forestry and Conservation
Forestry is a broad field that includes the creation, conservation, and management of forests in ways that are beneficial both to humans and the environment.
Hexagon Geospatial technology can help users see how forest data has changed over time, identify characteristics of the soil, and more. Using this information, conservationists can manage current forest presence and find the best course of action in planting new trees.
IMAGINE Photogrammetry - By automating precision measurement and including flexible operations such as terrain editing and feature extraction, IMAGINE Photogrammetry increases productivity while ensuring high accuracy.
ERDAS APOLLO - A comprehensive data management, analysis, and delivery system. Enables organizations to organize and deliver massive volumes of data, and consistently delivers geospatial data faster and with less hardware than competing server-based products.
Monitoring Forest Cover Changes in Madhya Pradesh
Learn how the Madhya Pradesh Forestry Department uses Hexagon Geospatial technology to systematically organize the planning, implementation, and monitoring of all forestry-related operations.
Tracking Invasive Tree Species in South Africa
ARC is implementing systems to control invasive tree species through a study that uses Remote Sensing and Geographical Information System (GIS) techniques to map and monitor the current invaded areas.
Modernizing Operations for Mapping Needs in Kenya
Learn how Survey of Kenya has improved both the speed and convenience of producing a variety of map products of Kenya's diverse landscape.
Mapping Coastal Wetlands on the Hiawatha National Forest Using UAS Imagery
A graduate student at the Michigan Technological University is using Hexagon technology to protect and manage native wetlands along the shoreline of the North American Great Lakes.
Measuring Impacts of Industrial Growth on Forest Land through Remote Sensing in Lumshnong
The North-Eastern Space Applications Centre (NESAC) was tasked with measuring impact of industrial growth on forest land through remote sensing in Lumshnong.
Using High Probability Image Segmentation to Create Tree Canopy Regions for Zonal Change Detection
Creating natural zones from image segmentation using zonal change detection can save time in determining how much tree canopy is removed from year to year.
Searching for the Source of the Essequibo River
A team from Germany’s Dresden University of Applied Sciences used ERDAS IMAGINE to plan an expedition to find the Essequibo River's headwaters.
Tracking Trees and Other Assets Geospatially in Baton Rouge
The City of Baton Rouge utilizes Mobile MapWorks to tag live oak trees and bottomland hardwood forests, getting sub-address level accuracy on their assets.