[Esip-machinelearning] Fwd: [cdi-aiml] AI/ML Call Today: Integrating Deep Learning Methods into a National High-Resolution Land Cover Mapping

Ziheng Sun zsun at gmu.edu
Tue Mar 9 12:51:17 EST 2021


FYI


-------- Forwarded Message --------
Subject: 	[cdi-aiml] AI/ML Call Today: Integrating Deep Learning Methods 
into a National High-Resolution Land Cover Mapping
Date: 	Tue, 9 Mar 2021 17:05:01 +0000
From: 	Hsu, Leslie <lhsu at usgs.gov>
To: 	cdi-aiml at listserv.usgs.gov <cdi-aiml at listserv.usgs.gov>
CC: 	Nate Herold - NOAA Federal <nate.herold at noaa.gov>



Hi everyone,

If you didn't catch the calendar update, here's a reminder that today's 
AI/ML meeting topic is "*Integrating Deep Learning Methods into a 
National High-Resolution Land Cover Mapping"*, presented by Nate Herold 
(NOAA) and Chris Robinson (LynkerTechnologies).
Tuesday, March 9, 3pm Eastern, Teams meeting link Click here to join the 
meeting 
<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fteams.microsoft.com%2Fl%2Fmeetup-join%2F19%253ameeting_ZTBiMzAxODktYTcwYS00NzM4LThmN2MtMGUzNDUxNDUzOTk2%2540thread.v2%2F0%3Fcontext%3D%257b%2522Tid%2522%253a%25220693b5ba-4b18-4d7b-9341-f32f400a5494%2522%252c%2522Oid%2522%253a%2522c5d2fd9c-566e-45c9-83e1-374a69696db6%2522%257d&data=04%7C01%7Ccdi-aiml%40listserv.usgs.gov%7C149847c0a37b488bb76608d8e31d7a55%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C637509063038686818%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=cNA0BdS81RHgal4O9B8XlBhuNxeWJQhRhotIvjhHht8%3D&reserved=0> 
and in your calendar.

AI/ML group Points Of Contact: Pete Doucette (pdoucette at usgs.gov 
<mailto:pdoucette at usgs.gov>) and JC Nelson (jcnelson at usgs.gov)

https://listserv.usgs.gov/mailman/listinfo/cdi-aiml 
<https://listserv.usgs.gov/mailman/listinfo/cdi-aiml>
------------------------------------------------------------------------
*From:* CDI, GS
*Sent:* Wednesday, October 7, 2020 15:07
*To:* cdi-aiml at listserv.usgs.gov <cdi-aiml at listserv.usgs.gov>
*Cc:* Whitenack, Henry D <henry_whitenack at nps.gov>; Nate Herold - NOAA 
Federal (via Doodle) <mailer at doodle.com>
*Subject:* Artificial Intelligence/Machine Learning CDI Call
*When:* Tuesday, March 9, 2021 1:00 PM-2:00 PM.
*Where:*

This is the FY21 monthly CDI Artificial Intelligence / Machine Learning 
call – 2nd Tuesday of the month from 3-4pm Eastern.


March 9, 2021

*Title: Integrating Deep Learning Methods into a National 
High-Resolution Land Cover Mapping*

Bios:

*/Nate Herold/*is a Physical Scientist with NOAA's Office for Coastal 
Management (OCM) where he manages the Coastal Change Analysis Program 
(C-CAP), NOAA's national land cover mapping and monitoring effort. He 
has been with OCM for 18 years, is intimately involved with Data and 
Tool offerings within our Digital Coast site, and is currently the chair 
of the Multi-Resolution Land Characteristics (MRLC) Consortium, helping 
to coordinate the land cover mapping work from all major federal agencies.

/*Chris Robinson*/is a Senior Remote Sensing Analyst with 
LynkerTechnologies on contract at the NOAA Office for Coastal Management 
(OCM) where he serves as the lead technical analyst for the Coastal 
Change Analysis Program (C-CAP). Chris has over 20 years of experience 
working with high-resolution imagery for the development of coastal land 
cover and habitat data.



Visit the AI/ML Wiki page to find more details. 
<https://my.usgs.gov/confluence/x/g4uVJ>


Points Of Contact: Pete Doucette (pdoucette at usgs.gov 
<mailto:pdoucette at usgs.gov>) and JC Nelson (jcnelson at usgs.gov)


These calls are recorded and posted on the AI/ML meetings page 
<https://my.usgs.gov/confluence/pages/viewpage.action?pageId=613781934>.


________________________________________________________________________________ 

Microsoft Teams meeting
Join on your computer or mobile app
Click here to join the meeting 
<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fteams.microsoft.com%2Fl%2Fmeetup-join%2F19%253ameeting_ZTBiMzAxODktYTcwYS00NzM4LThmN2MtMGUzNDUxNDUzOTk2%2540thread.v2%2F0%3Fcontext%3D%257b%2522Tid%2522%253a%25220693b5ba-4b18-4d7b-9341-f32f400a5494%2522%252c%2522Oid%2522%253a%2522c5d2fd9c-566e-45c9-83e1-374a69696db6%2522%257d&data=04%7C01%7Ccdi-aiml%40listserv.usgs.gov%7C149847c0a37b488bb76608d8e31d7a55%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C637509063038686818%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=cNA0BdS81RHgal4O9B8XlBhuNxeWJQhRhotIvjhHht8%3D&reserved=0> 

Learn More 
<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Faka.ms%2FJoinTeamsMeeting&data=04%7C01%7Ccdi-aiml%40listserv.usgs.gov%7C149847c0a37b488bb76608d8e31d7a55%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C637509063038696776%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=n%2BOSmqAIVIiQkvHdEKlRmSUDvSpzKyC6lxG0ibYrku0%3D&reserved=0> 
| Meeting options 
<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fteams.microsoft.com%2FmeetingOptions%2F%3ForganizerId%3Dc5d2fd9c-566e-45c9-83e1-374a69696db6%26tenantId%3D0693b5ba-4b18-4d7b-9341-f32f400a5494%26threadId%3D19_meeting_ZTBiMzAxODktYTcwYS00NzM4LThmN2MtMGUzNDUxNDUzOTk2%40thread.v2%26messageId%3D0%26language%3Den-US&data=04%7C01%7Ccdi-aiml%40listserv.usgs.gov%7C149847c0a37b488bb76608d8e31d7a55%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C637509063038696776%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=MV7zeNGQCx3xNCmPlfMNogK4RMnQ5ewmk5N9c2FDMo4%3D&reserved=0> 

________________________________________________________________________________ 

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.esipfed.org/pipermail/esip-machinelearning/attachments/20210309/cd5de1a3/attachment-0001.htm>
-------------- next part --------------
-- 
CDI-AIML mailing list
CDI-AIML at listserv.usgs.gov
http://listserv.usgs.gov/mailman/listinfo/cdi-aiml



More information about the Esip-MachineLearning mailing list