Guillermo Castilla

Remote Sensing scientist serving the Canadian forest sector

[Guillermo Castilla @castillaCFS]

DYK that the national equations used in Canada to estimate the aboveground biomass of individual trees are biased in the case of small black spruce from peatlands, by far the most common trees in Canada? In this new paper we fix that. See this thread 1/9 https://t.co/ofJTNgBbgE

[Guillermo Castilla @castillaCFS]

And this December, my teammate Rob Skakun, I and Piyush published a paper on the extension of NBAC back to 1972 using Landsat MSS data, which makes NBAC the longest satellite-based time series of wildfires in any country, >50 years! https://t.co/04hVbyiWTp

[Guillermo Castilla @castillaCFS]

I hardly use this medium since Twitter became X, but I will make a few posts as a shared repository of research highlights from this ending year.

[Guillermo Castilla @castillaCFS]

In September, I presented our work on AI2 (artificial intelligence on aerial imagery) in ForestSAT 2024, the prime international conference for forest remote sensors (was really good!). Can share the recording upon request

[Guillermo Castilla @castillaCFS]

In August, my CFS colleague Piyush Jain and others published a Nature paper on Drivers and Impacts of the Record-Breaking 2023 Wildfire Season in Canada. The final figure of burned area is just below 15Mha, 7x the annual average! Here is the paper: https://t.co/qU9c1mXwAA

[Guillermo Castilla @castillaCFS]

In May, I presented CFS research highlights in the 10th NASA ABoVE Science Team meeting in Boulder Colorado, something that my dearly missed, late Director @jasedwar used to do. You can find my ppt in:
https://t.co/ndsrtRk0F4

[Guillermo Castilla @castillaCFS]

In January, I imparted a 1h seminar at the UofA on the use of drones in forest applications. The recording is freely available from here: https://t.co/31MpLhRUEY

[Guillermo Castilla @castillaCFS]

An article I handled as editor has been published today. Describes an open source method to project SfM-aligned 2D images into a mesh derived from the same photos @PeerJLife https://t.co/tgnOUjyHar #Ecology #EcosystemScience #MarineBiology #SpatialandGeographicInformationScience

[Guillermo Castilla @castillaCFS]

Some more information on the reasons of my resignation from @Forests_MDPI. @kimcalders @GherardoChirici @rubenvalpue @MikkoVastaranta, do you have any similar experiences? @cope #PublicationEthics

[Guillermo Castilla @castillaCFS]

This week I resigned from the @Forests_MDPI editorial board. Reason is the @MDPIOpenAccess guidelines for editors allow the publisher to make decisions that belong to the academic editor. That's a breach of the #PeerReview process. Please chime in if you are an academic editor.

[Guillermo Castilla @castillaCFS]

@bax_connor Yes, it was recorded, but it is not available externally. Please send me an email and I'll put you in contact with the right person for that.

[Guillermo Castilla @castillaCFS]

The (free!) webinar on individual tree detection and classification using #drones and #ArtificialIntelligence by our collaborator UofA Prof. Jeff Boisvert starts in 1h (noon MST)! https://t.co/qOruBov1Ij

[Guillermo Castilla @castillaCFS]

@threadreaderapp unroll

[Guillermo Castilla @castillaCFS]

DYK that the national equations used in Canada to estimate the aboveground biomass of individual trees are biased in the case of small black spruce from peatlands, by far the most common trees in Canada? In this new paper we fix that. See this thread 1/9 https://t.co/ofJTNgBbgE

[Guillermo Castilla @castillaCFS]

We conclude our model is currently the best option to create high-quality reference #biomass data using ground-measured predictor variables for #peatlands dominated by #blackspruce trees shorter than 5m, like the one below. For taller trees, the national equations are fine 9/9