[FRIAM] Fwd: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi

Mon Nov 9 21:11:31 EST 2020

Yes all the fire agencies have drones. Though when you look at getting them
to a location, launching, managing the feeds and fusing the imagery, it
doesn't come close to the opportunity of what can be done with a wide area
network of citizen phones.

On Mon, Nov 9, 2020 at 7:08 PM Marcus Daniels <marcus at snoutfarm.com> wrote:

> If DJs can afford them surely the forestry service can (to parallelize the
> data collection).
>
>
>
> https://dronedj.com/guides/drone-light-show/
>
>
>
> *From:* Friam <friam-bounces at redfish.com> *On Behalf Of *Stephen Guerin
> *Sent:* Monday, November 9, 2020 5:17 PM
> *To:* The Friday Morning Applied Complexity Coffee Group <
> friam at redfish.com>
> *Subject:* Re: [FRIAM] Fwd: [Colloquia] Colloquium - Wed Nov 11 - Kasra
> Manavi
>
>
>
> Phones before Drones.
>
>
>
> Imagery from drones can be incorporated, as can be aircraft imagery and
> satellite. However, they tend to come later in the incident or are at lower
> frequency and spatial scale.
>
>
>
> Our focus is coordinating imagery from citizen mobile phone cameras which
> we believe has the greatest value in the first moment of an incident
> (wildfire, explosion, active shooter, mudslide, tornado, etc). And then
> getting the collective intelligence to those same citizens on their phones
> via AR and georectified maps to enable decentralized collective action.
> Arguably intelligence and action two sides of the same coin. "intelligence
> is as intelligence does".
>
>
>
> On Mon, Nov 9, 2020 at 5:37 PM Marcus Daniels <marcus at snoutfarm.com>
> wrote:
>
> Why aren’t fleets of automated drones used?
>
>
>
> *From:* Friam <friam-bounces at redfish.com> *On Behalf Of *Angel Edward
> *Sent:* Monday, November 9, 2020 4:28 PM
> *To:* The Friday Morning Applied Complexity Coffee Group <
> friam at redfish.com>
> *Subject:* [FRIAM] Fwd: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi
>
>
>
>
>
>
>
> Begin forwarded message:
>
>
>
> *From: *Shuang Luan <sluan at cs.unm.edu>
>
> *Subject: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi*
>
> *Date: *November 9, 2020 at 10:10:31 AM MST
>
> *To: *colloquia at mail.cs.unm.edu, csgrad at cs.unm.edu, csundergrad at cs.unm.edu,
> CS Faculty mail list <csfaculty at cs.unm.edu>
>
>
>
> UNM Computer Science Department Colloquium Series
>
> Wednesday, Nov 11, 2020
> 2:00-2:50 PM
>
> Join via Zoom:
> https://unm.zoom.us/j/98715707842
> Meeting ID: 987 1570 7842
> Passcode: 9620277
>
>
>
> *Speaker:*
>
> Kasra “Kaz” Manavi, PhD
>
> Director of Research and Communications, Simtable
>
> *Title:*
> Realtime.Earth: Collective Intelligence from Distributed Imagery for
> Wildland Fire
>
> *Abstract:*
> We are currently fighting “blind” on wildland fire incidents. Fire
> location and behavior intelligence is crucial during the initial phase of
> an incident, but reports of wildfire can be delayed for hours. To make
> matters worse, changes in fuel loads and forest composition along with
> increasing fire season lengths are resulting in larger and more intense
> fires. With recent events like the Tubbs, Atlas and Camp Fires, more and
> more catastrophic wildland fire events are causing significant structure
> damage and considerable numbers of lives are being lost. Real-time data
> streams relevant to wildland fire are diversifying e.g. increased activity
> on social media and publicly accessible imagery. With the increase in these
> streams, more and more sources of relevant imagery are becoming available
> during an incident. We suggest the fusion of these data outlets coupled
> with streaming camera feeds directly from mobile phone browsers can provide
> real-time situation awareness during the critical first hours of an
> incident. In this talk we discuss observations obtained using
> Realtime.Earth, a web-based platform for real-time collective intelligence
> enabled by imagery capture and collection, data distribution and model
> visualization, all in the browser. We discuss how imagery captured on
> mobile devices from citizens, crews and social media can be fused together
> into live 3D models for real-time fire behavior monitoring.
>
> *Bio:*
> Kasra “Kaz” Manavi is the Director of Research and Communications at
> Simtable. He received a M.S. in Computer Science from Texas A&M University
> with an emphasis on robotic motion planning and received a PhD in Computer
> Science from the University of New Mexico with a focus on computational
> structural biology. After graduation, he started working at Simtable LLC in
> Santa Fe, NM, where he has been working on developing a web-based platform
> to enable real-time collective intelligence by providing users the ability
> to seamlessly incorporate agent-based modeling, ambient computing,
> photogrammetry, geospatial information systems and distributed computation
> into solutions that helps users better understand complex environmental and
> social phenomena in their community, primarily in the wildland fire space.
>
>
>
>
>
> Shuang (Sean) Luan, PhD
>
> Professor and Associate Chair, Computer Science
>
> Director, Biomedical Engineering Graduate Program
>
> University of New Mexico
>
>
>
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