Mr Jaz Stoddart
Overview
I work on applications of remote sensing in forestry; using point clouds derived from photogrammetry, airborne laser scanning and terrestrial laser scanning to inform models and derive inventory data.
Teaching and Supervision
I have been fortunate enough to lecture to master’s degree students, both in person and remote, for the semester long duration of the module “Inventory, assessment, and monitoring” in the forestry master’s course. I lectured during the academic year of 2021-22 and contined to assist with lectures in the academic year 2022-23 both in lecture delivery and making changes and improvements to the module.
Lecture materials specialise in methods of experimental design and data collection using field-based and remote sensing methodologies for inventory and monitoring of forests.
Education / academic qualifications
- 2018 - MA , University of Cambridge - Natural Sciences Tripos (2015 - 2018)
Research outputs (5)
- Published
Continuous Cover Forestry and Remote Sensing : A Review of Knowledge Gaps, Challenges, and Potential Directions
Research output: Contribution to journal › Article › peer-review
- Published
A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits
Research output: Contribution to journal › Article › peer-review
- Published
Predicting leaf traits of temperate broadleaf deciduous trees from hyperspectral reflectance: can a general model be applied across a growing season?
Research output: Contribution to journal › Article › peer-review