AWARE Fall Summary
The AWARE e-lecture series was the highlight of the fall semester. It was a well attended series that was hosted by the Canadian Institute of Forestry. During this semester, two other important announcements were made, the final AWARE AGM, that is happening in Feb of 2020 and NSERC’s approval of the one year no-cost extension for the AWARE project until March 31, 2021. Q5 was completed and Karin van Ewijk moved to a new employment at Lim Geomatics as Data Scientist.
Active Projects: Q1,Q2,Q3,Q7,Q9,Q15,Q16,Q17b,Q18,Q19,Q20,Q21,Q24,Q25
Completed Projects Q4,Q5,Q6,Q8,Q10,Q11,Q12,Q13,Q14,Q17a,Q22, Q23
Q1– Tristan Goodbody of UBC spent 3 weeks working with JF Prieur at UQAM in September to develop a programming pipeline to go from tree delineation to species assessment. This is now being transffered to JD Irving to be used with JDI LIDAR data. Tristan also submitted a paper titled “Uncovering spatial and ecological variability in gap size frequency distributions in the Canadian boreal forest” to Nature Scientific Reports.These data and results were also presented by him at the Silvilaser 2019 conference in Foz de Iguazu, Brazil. Tristan participated in the AWARE e-lecture series as one of the presenters.
Q2 – Kaysandra on leave
Q5 – Karin completed the manuscript on the transferability of FRI variable models between the eastern and western boreal forests and submitted to co-authors for peer review. She also submitted another manuscript on intensity correction of the PRF 2016 multispectral data and the incorporation of corrected intensity metrics in the predictor set to predict ABA FRI attributes to co-authors for review. Karin completed Q5 in June 2019. Karin participated in the AWARE e-lecture series as one of the presenters.
Q7 – Chris completed data analysis on patterns of structural regeneration following disturbance across species types in Slave Lake study area and completed his paper regarding these patterns including determining differences between species and disturbance types. Chris had began work on using digital terrestrial photogrammetry (DTP) for deriving plot-level forest inventory information. Chris participated in the AWARE e-lecture series as one of the presenters.
Q9 – Ayla continued the work she started on SDA analysis and interpolation of soil moisture regime. She created soil moisture classification that allowed comparison to original Demman guide classification. Ayla likewise ran wood density modeling and SDA’s on Lidar data. Writing of her thesis is in progress and she presented her work at the Canadian Symposium on Remote Sensing & Geomatics Atlantic. Fredericton NB.
15a – Shawn finished narrow brand selection analysis for all 14 vegetation indices being examined. He compared classification differences between RF and SVM classifiers for mapping SBW defoliation. Shawn submitted the draft of his manuscript for committee review, once finalized, will be submitted for publication to the Journal of Remote Sensing of the Environment.
Q16 – Xavier completed and validated a separation model of the Stem Diameter Distribution (SDD) general shape using CHM textual metrics and point cloud metrics and performed analysis of the different metric groups to assess the importance and significance of the textural metrics in the SDD separation model. He also tested different Weibull fitting techniques to extract the unimodal SDD shape and scale parameters. He will also model the Weibull shape and scale parameters from unimodal SDD distribution using CHM textural and point cloud metrics.
Q17b – Catherine selected the Lidar function indicators (FI) from the potential ones, compared SWAT output with and without harvest to make sure the model is sensitive. She tested Lidar FIS suitability and compare them with the SWAT model outputs for Harry River watershed. Catherine also acquired data from regional partners (the province and private land owners) including Lidar data and process the forest harvest data for au Saumon watershed. Catherine presented her posters in two colloquiums in Quebec. Catherine participated in the AWARE e-lecture series as one of the presenters.
Q18 – Sam has imputed structural metrics, assessed the imputations and began the modelling process of Newfoundland data. He also wrote the first draft of his paper. Sam participated in the AWARE e-lecture series as one of the presenters.
Q19 – Van-Tho carried out several tests and fixed bugs to take L-Vox algorithm to operational level. The algorithm is now fully developed and being used for a scientific manuscript and in other projects.
Q20a – Charles has established sites to test methods which provided preliminary results. Several aerial photographs were acquired from these selected sites. Charles was also able to produce data output of canopy height model (CHM) using agisoft photoscan software, had analyzed errors associated with the outputs as well as performed required adjustments for CHM. He wrote a discussion around these preliminary results with suggestions for ways to enhance model quality.
Q20b – Regeneration of stems after harvesting (TBH)
Q20c – The effects of wind on stems (TBH)
Q21 – JF Priuer used 2018 single photon lidar date from Patawawa and regular ALS to perform classification comparisons. JF presented the results at the 2019 Quebec Geomatics Association conference in May 2019. A manuscript on the results is likewise in progress and will be submitted for publication soon. JF participated in the AWARE e-lecture series as one of the presenters.
Q24 – Bastien developed local volume equation from UAV based lidar data for New Brunswick data. We started a draft of an article on the use of UAV based lidar in deciduous forest. His manuscript on the use of UAV based lidar in deciduous forest is being review by co-authors and will be submitted to Forest Ecology & Management. Bastien also finished his internship at FPInnovations in September 2019.
Q25 – Piotr continues to work on integrating forest growth models in Ontario (MIST) with the ALS data, which is a continuation of previous studies in BC and Alberta. He also analyzed how stand mortality affects growth estimates derived from multi-temporal point cloud data. Results of this study are now published in Remote Sensing. Piotr started working on a review paper on integrating growth and yield models with point cloud data.