{"id":504,"date":"2017-01-07T13:37:38","date_gmt":"2017-01-07T21:37:38","guid":{"rendered":"https:\/\/www.ece.ucsb.edu\/ipl\/?p=504"},"modified":"2018-11-16T12:12:30","modified_gmt":"2018-11-16T20:12:30","slug":"impress-lidar","status":"publish","type":"post","link":"https:\/\/web.ece.ucsb.edu\/ipl\/2017\/01\/impress-lidar\/","title":{"rendered":"Remote Sensing Lidar for Atmospheric Gas Detection"},"content":{"rendered":"<p>[vc_row][vc_column][vc_column_text]Monolithic integration of optical devices greatly reduces the cost, size, weight and power consumption (SWaP) of photonic systems. For space applications, this can enable deployment on smaller platforms and more frequent missions. This project aims to measure atmospheric constituents such as carbon dioxide (CO<sub>2<\/sub>) using a Lidar photonic integrated circuit s (PIC)s that are closely integrated with control electronics. Our group works together with NASA Goddard Space Flight Center to convert an existing bulk optics Lidar system into a PIC, thereby demonstrating the feasibility to apply PIC technology to Earth Science. The current focus is on CO<sub>2<\/sub> sensing, but the technology is transferable to the measurement of other gas species such as methane (CH<sub>4<\/sub>), water vapor, and oxygen (O<sub>2<\/sub>), and to other laser-based Earth Science measurements such as surface pressure and winds.<\/p>\n<p><b>\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0 <img loading=\"lazy\" class=\"alignnone wp-image-506 size-medium\" src=\"https:\/\/www.ece.ucsb.edu\/ipl\/wp-content\/uploads\/block-diagram-300x161.png\" alt=\"\" width=\"300\" height=\"161\" \/><img loading=\"lazy\" class=\"alignnone wp-image-521 size-medium\" src=\"https:\/\/www.ece.ucsb.edu\/ipl\/wp-content\/uploads\/IMPRESS_maskJPG-300x219.jpg\" alt=\"\" width=\"300\" height=\"219\" srcset=\"https:\/\/web.ece.ucsb.edu\/ipl\/wp-content\/uploads\/IMPRESS_maskJPG-300x219.jpg 300w, https:\/\/web.ece.ucsb.edu\/ipl\/wp-content\/uploads\/IMPRESS_maskJPG-1024x748.jpg 1024w, https:\/\/web.ece.ucsb.edu\/ipl\/wp-content\/uploads\/IMPRESS_maskJPG.jpg 1198w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><img loading=\"lazy\" class=\"alignnone wp-image-519 \" src=\"https:\/\/www.ece.ucsb.edu\/ipl\/wp-content\/uploads\/llcd_1-300x92.jpg\" alt=\"\" width=\"395\" height=\"121\" srcset=\"https:\/\/web.ece.ucsb.edu\/ipl\/wp-content\/uploads\/llcd_1-300x92.jpg 300w, https:\/\/web.ece.ucsb.edu\/ipl\/wp-content\/uploads\/llcd_1-1024x315.jpg 1024w, https:\/\/web.ece.ucsb.edu\/ipl\/wp-content\/uploads\/llcd_1.jpg 1041w\" sizes=\"(max-width: 395px) 100vw, 395px\" \/><br \/>\n<\/b><\/p>\n<p><b>Bibliography:<\/b><\/p>\n<ol>\n<li>&#8220;Active Sensing of CO 2 Emissions over Nights, Days, and Seasons (ASCENDS) Mission&#8221;, Science Mission Definition Study 2015, ASCENDS Ad Hoc Science Definition Team, April 15, 2015,\u00a0<a href=\"http:\/\/cce.nasa.gov\/ascends_2015\/ASCENDS_FinalDraft_4_27_15.pdf\" target=\"_blank\" rel=\"noopener\">ASCENDS, 2015<\/a><\/li>\n<li>\u00a0Schimel, D., Stephens, B. B., and Fisher, J. B., \u201cEffect of increasing CO 2 on the terrestrial. carbon cycle,\u201d Proc. Natl. Acad. Sci., 112, 436\u2013441, doi:10.1073\/pnas.1407302112, 2015.<\/li>\n<li>K. Numata, et al., \u201cFrequency stabilization of distributed-feedback laser diodes at 1572 nm for lidar measurements of atmospheric carbon dioxide,\u201d Applied Optics, vol. 50, no. 7, pp. 1047-1056, 2011.<\/li>\n<li>J. R. Chen, K. Numata, S. T. Wu, \u201cError reduction methods for integrated-path differential-<br \/>\nabsorption lidar measurements,\u201d Opt. Express, 20, 15589-15609, 2012.<\/li>\n<\/ol>\n<p><em><b>Collaborators:<\/b> NASA\u00a0Goddard Space Flight Center<\/em>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text]Monolithic integration of optical devices greatly reduces the cost, size, weight and power consumption (SWaP) of photonic systems. For space applications, this can enable deployment on smaller platforms and more frequent missions. This project aims to measure atmospheric constituents such as carbon dioxide (CO2) using a Lidar photonic integrated circuit s (PIC)s that are closely&hellip;<\/p>\n","protected":false},"author":4,"featured_media":519,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[9],"tags":[],"_links":{"self":[{"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/posts\/504"}],"collection":[{"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/comments?post=504"}],"version-history":[{"count":6,"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/posts\/504\/revisions"}],"predecessor-version":[{"id":522,"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/posts\/504\/revisions\/522"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/media\/519"}],"wp:attachment":[{"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/media?parent=504"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/categories?post=504"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/web.ece.ucsb.edu\/ipl\/wp-json\/wp\/v2\/tags?post=504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}