{"id":41,"date":"2026-02-22T18:27:40","date_gmt":"2026-02-22T17:27:40","guid":{"rendered":"https:\/\/laurensarp.eu\/?page_id=41"},"modified":"2026-02-23T14:14:50","modified_gmt":"2026-02-23T13:14:50","slug":"publications","status":"publish","type":"page","link":"https:\/\/laurensarp.eu\/?page_id=41","title":{"rendered":"Publications"},"content":{"rendered":"\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<h2 class=\"wp-block-heading\">All publications<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2026<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Laurens Arp, Peter M. van Bodegom, Holger H. Hoos and Mitra Baratchi. <strong>Characterising the Ill-posedness of PROSAIL Inversion for Biophysical Parameter Retrieval.<\/strong> <em>European Journal of Remote Sensing<\/em>, 59(1). 2026. <a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/22797254.2026.2632518\">view publication<\/a> \u2022<a href=\"https:\/\/laurensarp.eu\/?page_id=90\" data-type=\"page\" data-id=\"90\">project page<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2024<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Laurens Arp, Holger Hoos, Peter van Bodegom, Alistair Francis, James Wheeler, Dean van Laar and Mitra Baratchi. <strong>Training-free thick cloud removal for Sentinel-2 imagery using value propagation interpolation.<\/strong> <em>ISPRS Journal of Photogrammetry and Remote Sensing<\/em>, 216:168&#8211;184, 2024. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0924271624002995\">view publication<\/a> \u2022<a href=\"https:\/\/laurensarp.eu\/?page_id=85\" data-type=\"page\" data-id=\"85\">project page<\/a><\/li>\n\n\n\n<li>Julia W\u0105sala, Suzanne Marselis, Laurens Arp, Holger Hoos, Nicolas Long\u00e9p\u00e9 and Mitra Baratchi. <strong>AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images.<\/strong> <em>Remote Sensing, <\/em>16(3): 443. 2024. <a href=\"https:\/\/www.mdpi.com\/2072-4292\/16\/3\/443\">view publication<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2022<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Laurens Arp, Mitra Baratchi and Holger Hoos. <strong>VPint: value propagation-based spatial interpolation.<\/strong> <em>Data Mining and Knowledge Discovery, <\/em>36(5):1647&#8211;1678, 2022. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10618-022-00843-2\">view publication<\/a> \u2022<a href=\"https:\/\/laurensarp.eu\/?page_id=53\" data-type=\"page\" data-id=\"53\">project page<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2020<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Laurens Arp, Dyon van Vreumingen, Daniela Gawehns and Mitra Baratchi. <strong>Dynamic macro scale traffic flow optimisation using crowd-sourced urban movement data.<\/strong> <em>21st IEEE International Conference on Mobile Data Management (MDM), 168&#8211;177.<\/em> 2020. <a href=\"https:\/\/ada.liacs.nl\/papers\/ArpEtAl20.pdf\">view publication<\/a><\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Main-author publication project pages<\/h2>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile\" style=\"grid-template-columns:auto 29%\"><div class=\"wp-block-media-text__content\">\n<p><a href=\"https:\/\/laurensarp.eu\/?page_id=90\" data-type=\"page\" data-id=\"90\">Ill-posedness of physical model inversion<\/a><strong>: <\/strong>We need to use satellite data to estimate meaningful Earth system parameters, but this often involves a model inversion procedure. While often considered ill-posed, we performed a systematic analysis, and found that this label is not appropriate for the model inversion. Instead, the inference problem itself presents as ill-posedness due to its high noise sensitivity.<\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><a href=\"https:\/\/laurensarp.eu\/?page_id=90\"><img loading=\"lazy\" decoding=\"async\" width=\"728\" height=\"685\" src=\"http:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/PROSAIL_img.png\" alt=\"\" class=\"wp-image-48 size-full\" srcset=\"https:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/PROSAIL_img.png 728w, https:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/PROSAIL_img-300x282.png 300w\" sizes=\"auto, (max-width: 728px) 100vw, 728px\" \/><\/a><\/figure><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:29% auto\"><figure class=\"wp-block-media-text__media\"><a href=\"https:\/\/laurensarp.eu\/?page_id=85\"><img loading=\"lazy\" decoding=\"async\" width=\"735\" height=\"731\" src=\"http:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/CR_img.png\" alt=\"\" class=\"wp-image-49 size-full\" srcset=\"https:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/CR_img.png 735w, https:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/CR_img-300x298.png 300w, https:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/CR_img-150x150.png 150w\" sizes=\"auto, (max-width: 735px) 100vw, 735px\" \/><\/a><\/figure><div class=\"wp-block-media-text__content\">\n<p><a href=\"https:\/\/laurensarp.eu\/?page_id=85\" data-type=\"page\" data-id=\"85\">Training-free cloud removal for satellite data<\/a><strong>:<\/strong> Cloud cover obscures ground-level observations in up to 50&#8211;80% of EO imagery. In this project, we used and extended the VPint algorithm (see below) to automatically fill in cloudy data, which we found to be both more accurate and more efficient compared to other methods.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile\" style=\"grid-template-columns:auto 29%\"><div class=\"wp-block-media-text__content\">\n<p><strong><a href=\"https:\/\/laurensarp.eu\/?page_id=53\" data-type=\"page\" data-id=\"53\">Spatial interpolation (VPint)<\/a><\/strong>: Spatial and spatio-temporal data often contains patches of missing data or comes in the form of scattered point data, while full gridded data is preferred. In this project, we developed a novel spatial interpolation method (VPint), founded on a new system perspective over existing distance-based or local methods. We found VPint to perform and scale better than baseline methods.<\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><a href=\"https:\/\/laurensarp.eu\/?page_id=53\"><img loading=\"lazy\" decoding=\"async\" width=\"687\" height=\"687\" src=\"http:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/VPint_img.png\" alt=\"\" class=\"wp-image-50 size-full\" srcset=\"https:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/VPint_img.png 687w, https:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/VPint_img-300x300.png 300w, https:\/\/laurensarp.eu\/wp-content\/uploads\/2026\/02\/VPint_img-150x150.png 150w\" sizes=\"auto, (max-width: 687px) 100vw, 687px\" \/><\/a><\/figure><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>All publications 2026 2024 2022 2020 Main-author publication project pages Ill-posedness of physical model inversion: We need to use satellite data to estimate meaningful Earth system parameters, but this often involves a model inversion procedure. While often considered ill-posed, we performed a systematic analysis, and found that this label is not appropriate for the model [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-41","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/laurensarp.eu\/index.php?rest_route=\/wp\/v2\/pages\/41","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/laurensarp.eu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/laurensarp.eu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/laurensarp.eu\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/laurensarp.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=41"}],"version-history":[{"count":15,"href":"https:\/\/laurensarp.eu\/index.php?rest_route=\/wp\/v2\/pages\/41\/revisions"}],"predecessor-version":[{"id":107,"href":"https:\/\/laurensarp.eu\/index.php?rest_route=\/wp\/v2\/pages\/41\/revisions\/107"}],"wp:attachment":[{"href":"https:\/\/laurensarp.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=41"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}