{"id":23,"date":"2019-05-03T14:49:43","date_gmt":"2019-05-03T13:49:43","guid":{"rendered":"http:\/\/blog.fmi.fi\/coe-inverse\/?p=23"},"modified":"2026-01-29T05:04:41","modified_gmt":"2026-01-29T05:04:41","slug":"inverse-problems-on-remote-sensing-tackled-at-fmi","status":"publish","type":"post","link":"https:\/\/blog.fmi.fi\/coe-inverse\/?p=23","title":{"rendered":"Inverse problems on remote sensing tackled at FMI"},"content":{"rendered":"\n<p><strong>FMI-SPACE hosted a Workshop on Inverse Problems and Uncertainty Quantification&nbsp;in Satellite Remote Sensing in 10\u201312 October, 2018. The&nbsp;workshop gathered&nbsp;together international experts on remote sensing and related mathematical and&nbsp;statistical inverse problems.<\/strong><\/p>\n\n\n\n<p>Advances in atmospheric remote sensing are profoundly linked to finding&nbsp;efficient solutions to inverse problems. In particular, the workshop addressed&nbsp;in several contributions novel approaches for satellite retrievals of&nbsp;carbon dioxide, especially regarding the Nasa Orbiting Carbon Observatory&nbsp;-2 (OCO-2) mission. Prof. Heikki Haario, the lead organiser of&nbsp;the workshop, emphasises the importance of collaboration between researchers from different fields in this inherently multidisciplinary effort. &nbsp;The presentations covered several aspects of the OCO-2 mission, and novel methods for high dimensional and high-CPU problems encountered in remote sensing in general.<\/p>\n\n\n\n<p>The workshop was organised jointly by the FMI and Lappeenranta University of&nbsp;Technology teams of the Academy of Finland Centre of Excellence in&nbsp;Inverse&nbsp;Modelling and Imaging. The Centre of Excellence started in January&nbsp;2018 and continues for eight years. Within the Centre of Excellence, the&nbsp;scientific goal of the FMI team, led by Prof. Johanna Tamminen, is to improve&nbsp;the interpretation of satellite remote sensing of greenhouse gases and air&nbsp;quality&nbsp;by developing and applying novel mathematical and statistical methods of uncertainty&nbsp;quantification to satellite remote sensing. The ultimate&nbsp;goal is to develop improved&nbsp;methods for estimating sources and sinks of greenhouse gases by utilising&nbsp;satellite observations.<\/p>\n\n\n\n<p>The workshop attracted close to 30 participants, including leading&nbsp;international experts from the Nasa Jet Propulsion Laboratory, Massachusetts&nbsp;Institute of Technology, University of Montana, Case Western Reserve&nbsp;University, University of Warwick, and University of Monash.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"424\" src=\"https:\/\/blog.fmi.fi\/coe-inverse\/wp-content\/uploads\/2019\/05\/2018-10-12_CoE-workshop-1024x424.png\" alt=\"\" class=\"wp-image-24\"\/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>FMI-SPACE hosted a Workshop on Inverse Problems and Uncertainty Quantification&nbsp;in Satellite Remote Sensing in 10\u201312 October, 2018. The&nbsp;workshop gathered&nbsp;together international experts on remote sensing and related mathematical and&nbsp;statistical inverse problems. Advances in atmospheric remote sensing are profoundly linked to finding&nbsp;efficient solutions to inverse problems. In particular, the workshop addressed&nbsp;in several contributions novel approaches for satellite &hellip; <a href=\"https:\/\/blog.fmi.fi\/coe-inverse\/?p=23\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Inverse problems on remote sensing tackled at FMI&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/blog.fmi.fi\/coe-inverse\/index.php?rest_route=\/wp\/v2\/posts\/23"}],"collection":[{"href":"https:\/\/blog.fmi.fi\/coe-inverse\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.fmi.fi\/coe-inverse\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.fmi.fi\/coe-inverse\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.fmi.fi\/coe-inverse\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=23"}],"version-history":[{"count":2,"href":"https:\/\/blog.fmi.fi\/coe-inverse\/index.php?rest_route=\/wp\/v2\/posts\/23\/revisions"}],"predecessor-version":[{"id":102,"href":"https:\/\/blog.fmi.fi\/coe-inverse\/index.php?rest_route=\/wp\/v2\/posts\/23\/revisions\/102"}],"wp:attachment":[{"href":"https:\/\/blog.fmi.fi\/coe-inverse\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=23"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.fmi.fi\/coe-inverse\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=23"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.fmi.fi\/coe-inverse\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=23"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}