BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20190310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20191103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20190425T175645Z UID:6A0CD8C3-48ED-4E17-9C39-6C9C60D23CF4 DTSTART;TZID=US/Eastern:20190425T120000 DTEND;TZID=US/Eastern:20190425T130000 DESCRIPTION:IEEE GRSS is inviting you to a scheduled Zoom meeting.\n\nJoin Zoom Meeting\n[https://zoom.us/j/107106565](https://urldefense.proofpoint. com/v2/url?u=https-3A__zoom.us_j_107106565&d=DwMFaQ&c=ApwzowJNAKKw3xye91w7 BE1XMRKi2LN9kiMk5Csz9Zk&r=P6Xwd0E218M0b3wmZL4UvUkfUdHkvrAvbCGiDp9kW28&m=ob t8VQXoRwss4NT0pUhId8qyXr95AEdjOvhFvy7g4R8&s=RDba6rhzssjV_BJjdJOdCBmBCoeuLk 6pidDNFmB6Q-c&e=)\n\nOne tap mobile\n+16465588656\,\,107106565# US (New Yo rk)\n+17207072699\,\,107106565# US\n\nDial by your location\n+1 646 558 86 56 US (New York)\n+1 720 707 2699 US\nMeeting ID: 107 106 565\nFind your l ocal number: [https://zoom.us/u/abYDtP29IB](https://urldefense.proofpoint. com/v2/url?u=https-3A__zoom.us_u_abYDtP29IB&d=DwMFaQ&c=ApwzowJNAKKw3xye91w 7BE1XMRKi2LN9kiMk5Csz9Zk&r=P6Xwd0E218M0b3wmZL4UvUkfUdHkvrAvbCGiDp9kW28&m=o bt8VQXoRwss4NT0pUhId8qyXr95AEdjOvhFvy7g4R8&s=JhuyFQLZ60RF5Cm17WBPcmnHUJNLT A_zBU-rFpQMQk4&e=)\n\nData and Algorithms for Mapping and Monitoring Urban Impervious Surface through Earth Observation\n\nChengbin Deng\n\nDepartme nt of Geography\n\nState University of New York at Binghamton\n\nAbstract: \n\nUrban impervious cover information is essential for urban and environm ental applications at the regional/national scales\, such as metropolitan master planning\, watershed conservation and restoration. A variety of ima ge processing algorithms (e.g.\, spectral mixture analysis\, or SMA\, and machine learning approaches) have been developed to derive urban imperviou s surface information from satellite data. These algorithms have their own limitations which prevent wider applications\, and it is necessary to acc ommodate these limitations for better urban impervious surface mapping. In this presentation\, recent efforts and progress will be present. When map ping subpixel urban impervious surface at one point in time\, spatially ad aptive SMA (SASMA) will be introduced to improve the performance of existi ng spectral unmixing. When monitoring the dynamic of subpixel urban imperv ious surface over time\, we further develop a Continuous Subpixel Mapping (CSM) method using Landsat time series. The integration of subpixel mappin g and time series analysis in CSM can not only derive percent change of ur ban impervious surface of any time interval\, but detect different urban t ransition types (urban expansion\, urban shrinkage and surface modificatio ns). Challenges and opportunities for urban mapping in the future will als o be discussed.\n\nSpeaker(s): Chengbin Deng\, \n\nGreenbelt\, Maryland\, United States LOCATION:Greenbelt\, Maryland\, United States ORGANIZER:Zhuosen.wang@nasa.gov SEQUENCE:5 SUMMARY:IEEE Geoscience and Remote Sensing Society (GRSS) Washington DC/Nor thern VA Chapter Webinar Seminar on April 25\, 2019 URL;VALUE=URI:https://events.vtools.ieee.org/m/197163 X-ALT-DESC:Description: <br /><div><span style="font-family: verdana\, gene va\, sans-serif\; font-size: 12pt\;">IEEE GRSS is inviting you to a schedu led Zoom meeting.</span></div>\n<div><span style="font-size: 12pt\; font-f amily: verdana\, geneva\, sans-serif\;">&nbsp\;</span></div>\n<div><span s tyle="font-family: verdana\, geneva\, sans-serif\; font-size: 12pt\;">Join Zoom Meeting</span></div>\n<div><span style="font-family: verdana\, genev a\, sans-serif\; font-size: 12pt\;"><a href="https://urldefense.proofpoint .com/v2/url?u=https-3A__zoom.us_j_107106565&amp\;d=DwMFaQ&amp\;c=ApwzowJNA KKw3xye91w7BE1XMRKi2LN9kiMk5Csz9Zk&amp\;r=P6Xwd0E218M0b3wmZL4UvUkfUdHkvrAv bCGiDp9kW28&amp\;m=obt8VQXoRwss4NT0pUhId8qyXr95AEdjOvhFvy7g4R8&amp\;s=RDba 6rhzssjV_BJjdJOdCBmBCoeuLk6pidDNFmB6Q-c&amp\;e=" target="_blank" rel="noop ener noreferrer" data-auth="NotApplicable">https://zoom.us/j/107106565</a> </span></div>\n<div><span style="font-family: verdana\, geneva\, sans-seri f\; font-size: 12pt\;">&nbsp\;</span></div>\n<div><span style="font-family : verdana\, geneva\, sans-serif\; font-size: 12pt\;">One tap mobile</span> </div>\n<div><span style="font-family: verdana\, geneva\, sans-serif\; fon t-size: 12pt\;">+16465588656\,\,107106565# US (New York)</span></div>\n<di v><span style="font-family: verdana\, geneva\, sans-serif\; font-size: 12p t\;">+17207072699\,\,107106565# US</span></div>\n<div><span style="font-fa mily: verdana\, geneva\, sans-serif\; font-size: 12pt\;">&nbsp\;</span></d iv>\n<div><span style="font-family: verdana\, geneva\, sans-serif\; font-s ize: 12pt\;">Dial by your location</span></div>\n<div><span style="font-fa mily: verdana\, geneva\, sans-serif\; font-size: 12pt\;">&nbsp\; &nbsp\; & nbsp\; &nbsp\; +1 646 558 8656 US (New York)</span></div>\n<div><span styl e="font-family: verdana\, geneva\, sans-serif\; font-size: 12pt\;">&nbsp\; &nbsp\; &nbsp\; &nbsp\; +1 720 707 2699 US</span></div>\n<div><span style ="font-family: verdana\, geneva\, sans-serif\; font-size: 12pt\;">Meeting ID: 107 106 565</span></div>\n<div><span style="font-family: verdana\, gen eva\, sans-serif\; font-size: 12pt\;">Find your local number:&nbsp\;<a hre f="https://urldefense.proofpoint.com/v2/url?u=https-3A__zoom.us_u_abYDtP29 IB&amp\;d=DwMFaQ&amp\;c=ApwzowJNAKKw3xye91w7BE1XMRKi2LN9kiMk5Csz9Zk&amp\;r =P6Xwd0E218M0b3wmZL4UvUkfUdHkvrAvbCGiDp9kW28&amp\;m=obt8VQXoRwss4NT0pUhId8 qyXr95AEdjOvhFvy7g4R8&amp\;s=JhuyFQLZ60RF5Cm17WBPcmnHUJNLTA_zBU-rFpQMQk4&a mp\;e=" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable ">https://zoom.us/u/abYDtP29IB</a></span></div>\n<p>&nbsp\;</p>\n<p><span style="font-size: 12pt\;"><strong>Data and Algorithms for Mapping and Moni toring Urban Impervious Surface through Earth Observation</strong></span>< /p>\n<p><span style="font-size: 12pt\;">Chengbin Deng</span></p>\n<p><span style="font-size: 12pt\;">Department of Geography</span></p>\n<p><span st yle="font-size: 12pt\;">State University of New York at Binghamton</span>< /p>\n<p><span style="font-size: 12pt\;">&nbsp\;</span></p>\n<p><span style ="font-size: 12pt\;">Abstract:</span></p>\n<p><span style="font-size: 12pt \;">Urban impervious cover information is essential for urban and environm ental applications at the regional/national scales\, such as metropolitan master planning\, watershed conservation and restoration. A variety of ima ge processing algorithms (e.g.\, spectral mixture analysis\, or SMA\, and machine learning approaches) have been developed to derive urban imperviou s surface information from satellite data. These algorithms have their own limitations which prevent wider applications\, and it is necessary to acc ommodate these limitations for better urban impervious surface mapping. In this presentation\, recent efforts and progress will be present. When map ping subpixel urban impervious surface at one point in time\, spatially ad aptive SMA (SASMA) will be introduced to improve the performance of existi ng spectral unmixing. When monitoring the dynamic of subpixel urban imperv ious surface over time\, we further develop a Continuous Subpixel Mapping (CSM) method using Landsat time series. The integration of subpixel mappin g and time series analysis in CSM can not only derive percent change of ur ban impervious surface of any time interval\, but detect different urban t ransition types (urban expansion\, urban shrinkage and surface modificatio ns). Challenges and opportunities for urban mapping in the future will als o be discussed.</span></p>\n<p><span style="font-size: 12pt\;">&nbsp\;</sp an></p>\n<p><span style="font-size: 12pt\;">&nbsp\;</span></p> END:VEVENT END:VCALENDAR