Forest Operations Planning and Management

Forest Operations Planning and Management

Forest Operations Planning and Management

The goal of this research is to enhance supply chain efficiency and improve international competitiveness in the forest industry. Research includes ground-based LiDAR stem analysis for value optimization, discovering new methods to increase the efficiency of steep slope harvesting operations, moisture management models for biomass recovery, decision support models for biomass utilization on steep slopes and harvest scheduling methodologies for addressing uncertainty in forest planning.

Faculty Research Programs

This program area focuses on logging safety on steep slopes.

This research is interested in active sustainable management of forest, by using various remote sensing techniques to acquire relevant information for the decision making process. Once raw data is collected, we develop, improve or test existing algorithms to supply the needed data for developing management plans or forecast forest dynamics. Our focus is in modeling forest understood in a broad sense using modern techniques, such as computer vision, fractals, or abstract algebra. The main instruments used for data acquisition are unnamed aerial systems equipped with lidar, RGB, and multispectral sensors.

This research program integrates remote sensing and related technologies with geographic information systems (GIS). Data acquired from detectors mounted in satellites, aircraft, and field instruments are used to study the spectral properties of vegetation-soil systems. Information regarding these properties is then used to develop techniques for detecting, classifying, mapping and quantifying vegetation cover and vegetation condition.

This research program integrates remote sensing and related technologies with geographic information systems (GIS). Data acquired from detectors mounted in satellites, aircraft, and field instruments are used to study the spectral properties of vegetation-soil systems. Information regarding these properties is then used to develop techniques for detecting, classifying, mapping and quantifying vegetation cover, and vegetation condition.

The study aims to inform policy for Oregon and stakeholders by evaluating whether large-scale biochar production is technically feasible, logistically scalable, economically competitive and environmentally beneficial at the landscape scale. If the outcome suggests biochar production meets these minimum criteria, the study could potentially trigger industrial interest in supporting the development of forest-to-farm biochar markets, benefiting rural economies that are typically based on forest and agricultural commodities.

Biomass Planning and Transport

The study aims to inform policy for Oregon and stakeholders by evaluating whether large-scale biochar production is technically feasible, logistically scalable, economically competitive and environmentally beneficial at the landscape scale. If the outcome suggests biochar production meets these minimum criteria, the study could potentially trigger industrial interest in supporting the development of forest-to-farm biochar markets, benefiting rural economies that are typically based on forest and agricultural commodities.

Management, Algorithms, and Remote Sensing

This research is interested in active sustainable management of forest, by using various remote sensing techniques to acquire relevant information for the decision making process. Once raw data is collected, we develop, improve or test existing algorithms to supply the needed data for developing management plans or forecast forest dynamics. Our focus is in modeling forest understood in a broad sense using modern techniques, such as computer vision, fractals, or abstract algebra.

Environmental Remote Sending Applications Laboratory

This research program integrates remote sensing and related technologies with geographic information systems (GIS). Data acquired from detectors mounted in satellites, aircraft, and field instruments are used to study the spectral properties of vegetation-soil systems. Information regarding these properties is then used to develop techniques for detecting, classifying, mapping and quantifying vegetation cover, and vegetation condition.

Environmental Remote Sending Applications Laboratory

This research program integrates remote sensing and related technologies with geographic information systems (GIS). Data acquired from detectors mounted in satellites, aircraft, and field instruments are used to study the spectral properties of vegetation-soil systems. Information regarding these properties is then used to develop techniques for detecting, classifying, mapping and quantifying vegetation cover and vegetation condition.