<div dir="ltr">Hello Agriculture and Climate Cluster,<div><br></div><div><div class="gmail_signature" data-smartmail="gmail_signature">A session proposal for the upcoming 2022 ESIP Winter Meeting has been submitted.  A brief description of the <a href="https://docs.google.com/document/d/1utdKjGxoTtPpg5xI9Kh4zrNpXSgfe0eGQpdN5Dd4s5E/edit?usp=sharing">full session proposal</a> is pasted below.  We shall be continuing to refine the session over the next month or two: let Bill Teng (<a href="mailto:william.l.teng@nasa.gov">william.l.teng@nasa.gov</a>) and I know if you have ideas that you would like to incorporate into the session. </div></div><div class="gmail_signature" data-smartmail="gmail_signature"><br></div><div class="gmail_signature" data-smartmail="gmail_signature">- Brian W.</div><div class="gmail_signature" data-smartmail="gmail_signature"><br></div><div class="gmail_signature" data-smartmail="gmail_signature"><span id="gmail-docs-internal-guid-72f21b3c-7fff-034c-e3ad-ce949d289c52"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:10pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:rgb(230,184,175);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Session Title</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:10pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">In-situ</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"> and remotely-sensed data integration for wildfire management</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:10pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:rgb(230,184,175);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Session Description</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:10pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap">The proposed session continues the synthesis of ideas contributed by individuals from various ESIP clusters (including Agriculture and Climate, Semantic Harmonization, EnviroSensing, Machine Learning, and Drones) applied to wildfire management.  This session focuses on the challenge of ingesting heterogeneous data from </span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);font-style:italic;vertical-align:baseline;white-space:pre-wrap">in-situ</span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap"> and remote sensing systems into models and applications between the pre-fire and fire containment phases.  Scenarios include  (a) using heterogeneous data for better planning prescribed burns by using data before and after a burn for ingestion into fire behavior models, and (b) using heterogeneous data to assess opportunities to create firebreaks in the course of wildfire fighting.  </span><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:10pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">This synthesis session directly extends two of the key takeaways proposed by discussants during the 2021 ESIP summer meeting session “Identifying technology capabilities that meet wildfire science and practitioner requirements”:  (a) “...improve fusion among near-term fire behavior model data, values-at-risk data, and sensor data that can be represented and visualized in a Common Operating Picture”, and (b) “...better estimate burn severity by fusing data from various sources (</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">in-situ</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">, remote, model)”.</span></p></span><br class="gmail-Apple-interchange-newline"></div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