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.

• MA: University of Cambridge - Natural Sciences Tripos
  University of Cambridge, 2015–2018

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.

2023

• E-pub ahead of printContinuous Cover Forestry and Remote Sensing : A Review of Knowledge Gaps, Challenges, and Potential Directions
  Stoddart, J., Suarez, J., Mason, W. & Valbuena, R., 20 Nov 2023, (E-pub ahead of print) In: Current Forestry Reports.
  Research output: Contribution to journal › Article › peer-review

2022

• PublishedA Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits
  Stoddart, J., Almeida, D., Silva, C. A., Gorgens, E. B., Keller, M. & Valbuena, R., 15 Feb 2022, In: Remote Sensing. 14, 4
  Research output: Contribution to journal › Article › peer-review
• PublishedPredicting leaf traits of temperate broadleaf deciduous trees from hyperspectral reflectance: can a general model be applied across a growing season?
  Chen, L., Zhang, Y., Nunes, M. H., Stoddart, J., Khoury, S., Chan, A. H. Y. & Coomes, D. A., 1 Feb 2022, In: Remote Sensing of Environment. 112767.
  Research output: Contribution to journal › Article › peer-review

2021

• PublishedBeyond trees: Mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data
  Costa, M. B. T. D., Silva, C. A., Broadbent, E. N., Leite, R. V., Mohan, M., Liesenberg, V., Stoddart, J., Amaral, C. H. D., Almeida, D. R. A. D., Silva, A. L. D., Goya, L. R. R. Y., Cordeiro, V. A., Rex, F., Hirsch, A., Marcatti, G. E., Cardil, A., Mendonça, B. A. F. D., Hamamura, C., Corte, A. P. D., Matricardi, E. A. T., Hudak, A. T., Zambrano, A. M. A., Valbuena, R., Faria, B. L. D., Junior, C. H. L. S., Aragao, L., Ferreira, M. E., Liang, J., Carvalho, S. D. P. C. E. & Klauberg, C., 1 Jul 2021, In: Forest Ecology and Management. 491, p. 119155 1 p.
  Research output: Contribution to journal › Article › peer-review

2020

• PublishedComparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data
  Rex, F. E., Silva, C. A., Dalla Corte, A. P., Klauberg, C., Mohan, M., Cardil, A., Silva, V. S. D., Almeida, D. R. A. D., Garcia, M., Broadbent, E. N., Valbuena, R., Stoddart, J., Merrick, T. & Hudak, A. T., 8 May 2020, In: Remote Sensing. 12, 9, 1498.
  Research output: Contribution to journal › Article › peer-review