{"id":2475,"date":"2024-03-04T13:28:09","date_gmt":"2024-03-04T11:28:09","guid":{"rendered":"https:\/\/urbag.eu\/?p=2475"},"modified":"2024-03-04T13:28:09","modified_gmt":"2024-03-04T11:28:09","slug":"new-publication-in-applied-earth-observation-geoinformation","status":"publish","type":"post","link":"https:\/\/webs.uab.cat\/atmosphere\/2024\/03\/04\/new-publication-in-applied-earth-observation-geoinformation\/","title":{"rendered":"New publication in the “International Journal of Applied Earth Observation and Geoinformation”"},"content":{"rendered":"

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See full article\/ Veure l’article complet<\/strong><\/a><\/p>\n

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The URBAG member Ricard Segura Barrero<\/a> has participated in a study in collaboration with researchers of the “Laboratoire des Sciences du Climat et de l’Environnement” (LSCE) in France. This study has now been published in the journal International Journal of Applied Earth Observation and Geoinformation.<\/p>\n

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English:<\/strong><\/p>\n

In Europe, the heterogeneous features of crop systems with majority of small to medium sized\u00a0agricultural holdings<\/a><\/u>, and diversity of crop rotations, require high-resolution information to estimate cropland\u00a0Net Ecosystem Exchange<\/a><\/u>\u00a0(NEE) and its two main components of Gross Ecosystem Exchange (GEE) and the Ecosystem Respiration (RECO). In this context, this paper presents an assimilation of high-resolution Sentinel-2 indices with\u00a0eddy covariance<\/a><\/u>\u00a0measurements at selected European cropland flux sites in a new modified version of Vegetation Photosynthesis Respiration Model (VPRM). VRPM is a data-driven model simulating CO2\u00a0fluxes previously applied using satellite-derived\u00a0vegetation indices<\/a><\/u>\u00a0from the\u00a0Moderate Resolution Imaging Spectroradiometer<\/a><\/u>\u00a0(MODIS). This study proposes a modification of the VPRM by including an explicit soil moisture stress function to the GEE and changing the equation of RECO. It also compares the model results driven by S2 indices instead of MODIS. The parameters of the VPRM model are calibrated using eddy-covariance data. All possible parameters optimization scenarios include the use of the initial version vs. the proposed modified VPRM, S2, or MODIS vegetation indices, and finally the choice of calibrating a single set of parameters against observations from all crop types, a set of parameters per crop type, or one set of parameters per site. Then, we focus the analysis on the improvement of the model with distinct parameters for different crop types vs. parameters optimized without distinction of crop types. Our main findings are: (1) the superiority of S2 vegetation indices over MODIS for cropland CO2\u00a0fluxes simulations, leading to a root mean squared error (RMSE) for NEE of less than 3.5\u00a0umol m-2<\/sup>s.1<\/sup>\u00a0with S2 compared to 5\u00a0umol m-2<\/sup>s.1<\/sup>\u00a0with MODIS (2) better performances of the modified VPRM version leading to a significant improvement of RECO,\u00a0and (3) better performances when the parameters are optimized per crop-type instead of for all crop types lumped together, with lower RMSE and\u00a0Akaike information criterion<\/a><\/u>\u00a0(AIC), despite a larger number of parameters. Associated with the availability of crop-type land cover maps, the use of S2 data and crop-type modified VPRM parameterization presented in this study, provide a step forward for upscaling cropland\u00a0carbon fluxes<\/a><\/u>\u00a0at European scale.<\/p>\n

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Catal\u00e0:<\/strong><\/p>\n

A Europa, les caracter\u00edstiques heterog\u00e8nies dels sistemes de cultiu en la majoria de petites i mitjanes explotacions agr\u00edcoles, aix\u00ed com la diversitat de rotacions de cultius, requereixen informaci\u00f3 d’alta resoluci\u00f3 per estimar l’intercanvi net de l\u2019ecosistema (NEE) de camps de cultiu, els seus dos components principals de l’intercanvi brut de l\u2019ecosistema (GEE) i la respiraci\u00f3 d’ecosistema (RECO). En aquest context, aquest article presenta una assimilaci\u00f3 d’\u00edndexs Sentinel-2 d’alta resoluci\u00f3 amb mesures de covari\u00e0ncia “eddy” en camps de cultiu europeus en una nova versi\u00f3 modificada del model de respiraci\u00f3 de fotos\u00edntesi de vegetaci\u00f3 (VPRM). El VRPM \u00e9s un model basat en dades que simula fluxos de CO2 aplicats pr\u00e8viament utilitzant \u00edndexs de vegetaci\u00f3 provinents de l’espectroradi\u00f2metre d’imatges de resoluci\u00f3 moderada (MODIS). Aquest estudi proposa una modificaci\u00f3 del VPRM incloent una funci\u00f3 expl\u00edcita d’estr\u00e8s d’humitat del s\u00f2l al GEE i canviant l’equaci\u00f3 de RECO. Tamb\u00e9 compara els resultats del model impulsats pels \u00edndexs S2 en lloc de MODIS. Els par\u00e0metres del model VPRM es calibren mitjan\u00e7ant dades de covari\u00e0ncia \u201ceddy\u201d. Tots els possibles escenaris d’optimitzaci\u00f3 de par\u00e0metres inclouen l’\u00fas de la versi\u00f3 inicial vs. els \u00edndexs de vegetaci\u00f3 VPRM, S2 o MODIS modificats i, finalment, l’elecci\u00f3 de calibrar un sol conjunt de par\u00e0metres amb observacions de tots els tipus de cultiu, un conjunt de par\u00e0metres per tipus de cultiu o un conjunt de par\u00e0metres per lloc. A continuaci\u00f3, centrem l’an\u00e0lisi en la millora del model amb diferents par\u00e0metres per a diferents tipus de cultiu vs. par\u00e0metres optimitzats sense distinci\u00f3 de tipus de cultiu. Les nostres principals troballes s\u00f3n: (1) la superioritat dels \u00edndexs de vegetaci\u00f3 S2 sobre MODIS per a simulacions de fluxos de CO2 de camps de cultiu, donant lloc a un error quadr\u00e0tic mitj\u00e0 (RMSE) per a NEE de menys de 3,5 umol m-2s.1 al S2 en comparaci\u00f3 amb 5 umol m-2s.1 al MODIS (2) millors prestacions de la versi\u00f3 VPRM modificada que condueixen a una millora significativa de RECO, i (3) millors rendiments quan els par\u00e0metres s’optimitzen per tipus de cultiu espec\u00edfic en lloc de per a tots els tipus de cultius agrupats, amb un criteri d’informaci\u00f3 RMSE i Akaike (AIC) m\u00e9s baix, malgrat un major nombre de par\u00e0metres. Pel que fa a la disponibilitat dels mapes de cobertes del s\u00f2l, l’\u00fas de dades S2 i la parametritzaci\u00f3 VPRM modificada de tipus de cultiu presentada en aquest estudi proporcionen un pas endavant per a l’ampliaci\u00f3 dels fluxos de carboni dels camps de cultiu a escala europea.<\/p>\n

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Figure: The flowchart summarizes the dataset extraction (eddy covariance and satellite data), the VPRM and MVPRM data fitting procedure as well as the assessments performed.<\/p>\n","protected":false},"excerpt":{"rendered":"

Title: Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe \/
\nThis paper presents an assimilation of high-resolution Sentinel-2 indices with eddy covariance measurements at selected European cropland flux sites in a new modified version of Vegetation Photosynthesis Respiration Model (VPRM).<\/p>\n","protected":false},"author":3153,"featured_media":2482,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[297,298,275,264,299,15,279,300],"class_list":["post-2475","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general","tag-ecosystem-services","tag-land-use-scenarios","tag-mediterranean-climate","tag-nature-based-solutions","tag-nbs","tag-urban-agriculture","tag-urban-design","tag-urban-metabolism"],"_links":{"self":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/posts\/2475","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/users\/3153"}],"replies":[{"embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/comments?post=2475"}],"version-history":[{"count":0,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/posts\/2475\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/media\/2482"}],"wp:attachment":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/media?parent=2475"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/categories?post=2475"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/tags?post=2475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}