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

[Marcus Daniels]

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<mailto:marcus at snoutfarm.com>> wrote:
Why aren’t fleets of automated drones used?

From: Friam <friam-bounces at redfish.com<mailto: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<mailto: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<mailto: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<mailto:colloquia at mail.cs.unm.edu>, csgrad at cs.unm.edu<mailto:csgrad at cs.unm.edu>, csundergrad at cs.unm.edu<mailto:csundergrad at cs.unm.edu>, CS Faculty mail list <csfaculty at cs.unm.edu<mailto: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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