{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T21:53:22Z","timestamp":1776635602698,"version":"3.51.2"},"reference-count":45,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2016,6,29]],"date-time":"2016-06-29T00:00:00Z","timestamp":1467158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union Seventh Framework Programme","award":["311970"],"award-info":[{"award-number":["311970"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Net primary production (NPP) is an important ecological metric for studying forest ecosystems and their carbon sequestration, for assessing the potential supply of food or timber and quantifying the impacts of climate change on ecosystems. The global MODIS NPP dataset using the MOD17 algorithm provides valuable information for monitoring NPP at 1-km resolution. Since coarse-resolution global climate data are used, the global dataset may contain uncertainties for Europe. We used a 1-km daily gridded European climate data set with the MOD17 algorithm to create the regional NPP dataset MODIS EURO. For evaluation of this new dataset, we compare MODIS EURO with terrestrial driven NPP from analyzing and harmonizing forest inventory data (NFI) from 196,434 plots in 12 European countries as well as the global MODIS NPP dataset for the years 2000 to 2012. Comparing these three NPP datasets, we found that the global MODIS NPP dataset differs from NFI NPP by 26%, while MODIS EURO only differs by 7%. MODIS EURO also agrees with NFI NPP across scales (from continental, regional to country) and gradients (elevation, location, tree age, dominant species, etc.). The agreement is particularly good for elevation, dominant species or tree height. This suggests that using improved climate data allows the MOD17 algorithm to provide realistic NPP estimates for Europe. Local discrepancies between MODIS EURO and NFI NPP can be related to differences in stand density due to forest management and the national carbon estimation methods. With this study, we provide a consistent, temporally continuous and spatially explicit productivity dataset for the years 2000 to 2012 on a 1-km resolution, which can be used to assess climate change impacts on ecosystems or the potential biomass supply of the European forests for an increasing bio-based economy. MODIS EURO data are made freely available at ftp:\/\/palantir.boku.ac.at\/Public\/MODIS_EURO.<\/jats:p>","DOI":"10.3390\/rs8070554","type":"journal-article","created":{"date-parts":[[2016,6,29]],"date-time":"2016-06-29T17:03:22Z","timestamp":1467219802000},"page":"554","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests"],"prefix":"10.3390","volume":"8","author":[{"given":"Mathias","family":"Neumann","sequence":"first","affiliation":[{"name":"Institute of Silviculture, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, Vienna 1190, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam","family":"Moreno","sequence":"additional","affiliation":[{"name":"Institute of Silviculture, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, Vienna 1190, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"Thurnher","sequence":"additional","affiliation":[{"name":"Institute of Silviculture, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, Vienna 1190, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Volker","family":"Mues","sequence":"additional","affiliation":[{"name":"Centre for Wood Science, World Forestry, University of Hamburg, Hamburg 21031, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanna","family":"H\u00e4rk\u00f6nen","sequence":"additional","affiliation":[{"name":"Department of Forest Sciences, University of Helsinki, Helsinki 00014, Finland"},{"name":"Finnish Forest Research Institute, Joensuu 80101, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matteo","family":"Mura","sequence":"additional","affiliation":[{"name":"Department of Bioscience and Territory, University of Molise, 86090 Pesche (IS), Italy"},{"name":"geoLAB\u2014Laboratory of Forest Geomatics, Department of Agricultural, Food and Forestry Systems, Universit\u00e0 degli Studi di Firenze, Firenze 50145, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8046-466X","authenticated-orcid":false,"given":"Olivier","family":"Bouriaud","sequence":"additional","affiliation":[{"name":"Facuty of Forestry, Universitatea Stefan del Mare, Suceava 720229, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mait","family":"Lang","sequence":"additional","affiliation":[{"name":"Tartu Observatory, T\u00f5ravere 61602, Estonia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Cardellini","sequence":"additional","affiliation":[{"name":"Division Forest, Nature and Landscape, Department of Earth and Environmental Sciences, KU Leuven\u2014University of Leuven, Leuven 3001, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alain","family":"Thivolle-Cazat","sequence":"additional","affiliation":[{"name":"Technological Institute, Furniture, Environment, Economy, Primary Processing and Supply, Champs sur Marne 77420, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9520-7228","authenticated-orcid":false,"given":"Karol","family":"Bronisz","sequence":"additional","affiliation":[{"name":"Laboratory of Dendrometry and Forest Productivity, Faculty of Forestry, Warsaw University of Life Sciences, Warsaw 02-776, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Merganic","sequence":"additional","affiliation":[{"name":"Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague 16521, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iciar","family":"Alberdi","sequence":"additional","affiliation":[{"name":"Departamento de Selvicultura y Gesti\u00f3n de los Sistemas Forestales, INIA-CIFOR, Madrid 28040, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rasmus","family":"Astrup","sequence":"additional","affiliation":[{"name":"Norwegian Institute for Bioeconomy Research, \u00c5s 1431, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7004-4602","authenticated-orcid":false,"given":"Frits","family":"Mohren","sequence":"additional","affiliation":[{"name":"Forest Ecology and Forest Management Group, Wageningen University, Wageningen 6700, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maosheng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Geographical Sciences, University of Maryland, Collage Park, MD 20742, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hubert","family":"Hasenauer","sequence":"additional","affiliation":[{"name":"Institute of Silviculture, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, Vienna 1190, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,6,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/S0034-4257(99)00056-5","article-title":"Direct and Indirect Estimation of Leaf Area Index, f APAR, and Net Primary Production of Terrestrial Ecosystems","volume":"70","author":"Gower","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1641\/0006-3568(2004)054[0547:ACSMOG]2.0.CO;2","article-title":"A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production","volume":"54","author":"Running","year":"2004","journal-title":"Bioscience"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.rse.2003.10.015","article-title":"The consequences of urban land transformation on net primary productivity in the United States","volume":"89","author":"Imhoff","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1038\/nature06593","article-title":"A steep road to climate stabilization","volume":"451","author":"Friedlingstein","year":"2008","journal-title":"Nature"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"925","DOI":"10.1126\/science.281.5379.925","article-title":"GENOMICS: Genomics and the World\u2019s Economy","volume":"281","author":"Enriquez","year":"1998","journal-title":"Science"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2589","DOI":"10.3390\/su5062589","article-title":"The Bioeconomy in Europe: An Overview","volume":"5","author":"McCormick","year":"2013","journal-title":"Sustainability"},{"key":"ref_7","unstructured":"FOREST EUROPE State of Europe\u2019s Forests 2015. Available online: http:\/\/www.foresteurope.org\/docs\/fullsoef2015.pdf."},{"key":"ref_8","unstructured":"EUROSTAT Europe in Figures\u2014Eurostat Yearbook. Available online: http:\/\/ec.europa.eu\/eurostat\/."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.rse.2004.12.011","article-title":"Improvements of the MODIS terrestrial gross and net primary production global data set","volume":"95","author":"Zhao","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Tomppo, E., Gschwantner, T., Lawrence, M., and McRoberts, R. (2010). National Forest Inventories: Pathways for Common Reporting, Springer.","DOI":"10.1007\/978-90-481-3233-1"},{"key":"ref_11","unstructured":"Eggleston, H.S., Buendia, L., Miwa, K., Ngara, T., and Tanabe, K. (2006). 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme, IGES."},{"key":"ref_12","first-page":"63","article-title":"Biomass and stem volume equations for tree species in Europe","volume":"4","author":"Zianis","year":"2005","journal-title":"Silva Fenn. Monogr."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1071\/BT07151","article-title":"\u201cBreathing\u201d of the terrestrial biosphere: Lessons learned from a global network of carbon dioxide flux measurement systems","volume":"56","author":"Baldocchi","year":"2008","journal-title":"Aust. J. Bot."},{"key":"ref_14","first-page":"G00J07","article-title":"Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations","volume":"116","author":"Jung","year":"2011","journal-title":"J. Geophys. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3878","DOI":"10.3390\/rs70403878","article-title":"Comparing MODIS Net Primary Production Estimates with Terrestrial National Forest Inventory Data in Austria","volume":"7","author":"Neumann","year":"2015","journal-title":"Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Jiang, F., Chen, J.M., Zhou, L., Ju, W., Zhang, H., Machida, T., Ciais, P., Peters, W., Wang, H., and Chen, B. (2016). A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches. Sci. Rep., 6.","DOI":"10.1038\/srep22130"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1126\/science.1192666","article-title":"Drought-induced reduction in global terrestrial net primary production from 2000 through 2009","volume":"329","author":"Zhao","year":"2010","journal-title":"Science"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.foreco.2012.03.022","article-title":"Reconciling satellite with ground data to estimate forest productivity at national scales","volume":"276","author":"Hasenauer","year":"2012","journal-title":"For. Ecol. Manag."},{"key":"ref_19","unstructured":"Thornton, P.E. (1998). Description of a Numerical Simulation Model for Predicting the Dynamics of Energy, Water, Carbon and Nitrogen in a Terrestrial Ecosystem, University of Montana."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1829","DOI":"10.1109\/TGRS.2006.871214","article-title":"Analysis of Leaf Area Index and Fraction of PAR absorbed by Vegetation Products from the Terra MODIS sensor: 2000\u20132005","volume":"44","author":"Yang","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.rse.2009.08.016","article-title":"MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets","volume":"114","author":"Friedl","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_22","first-page":"G01002","article-title":"Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses","volume":"111","author":"Zhao","year":"2006","journal-title":"J. Geophys. Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.1175\/BAMS-83-11-1631","article-title":"NCEP\u2013DOE AMIP-II Reanalysis (R-2)","volume":"83","author":"Kanamitsu","year":"2002","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_24","first-page":"D20119","article-title":"A European daily high-resolution gridded data set of surface temperature and precipitation for 1950\u20132006","volume":"113","author":"Haylock","year":"2008","journal-title":"J. Geophys. Res."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Moreno, A., and Hasenauer, H. (2015). Spatial downscaling of European climate data. Int. J. Climatol.","DOI":"10.1002\/joc.4436"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1965","DOI":"10.1002\/joc.1276","article-title":"Very high resolution interpolated climate surfaces for global land areas","volume":"25","author":"Hijmans","year":"2005","journal-title":"Int. J. Climatol."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Olson, R.J., Johnson, K.R., Zheng, D.L., and Scurlock, J.M.O. (2001). Global and Regional Ecosystem Modeling: Databases of Model Drivers and Validation Measurements, Oakridge Laboratory.","DOI":"10.2172\/814241"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"7362","DOI":"10.1073\/pnas.94.14.7362","article-title":"A global budget for fine root biomass, surface area, and nutrient contents","volume":"94","author":"Jackson","year":"1997","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2008","DOI":"10.1016\/j.foreco.2011.08.042","article-title":"Fine root production and turnover in forest ecosystems in relation to stand and environmental characteristics","volume":"262","author":"Ohashi","year":"2011","journal-title":"For. Ecol. Manag."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1346","DOI":"10.2307\/1938194","article-title":"Belowground carbon allocation in forest ecosystems: Global trends","volume":"70","author":"Raich","year":"1989","journal-title":"Ecology"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1111\/j.1466-882X.2004.00072.x","article-title":"Variation in litterfall-climate relationships between coniferous and broadleaf forests in Eurasia","volume":"13","author":"Liu","year":"2004","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.foreco.2015.11.016","article-title":"Comparison of carbon estimation methods for European forests","volume":"361","author":"Neumann","year":"2016","journal-title":"For. Ecol. Manag."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Hasenauer, H., and Eastaugh, C.S. (2012). Assessing Forest Production Using Terrestrial Monitoring Data. Int. J. For. Res.","DOI":"10.1155\/2012\/961576"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.envsoft.2012.08.003","article-title":"Comparing simulations of three conceptually different forest models with National Forest Inventory data","volume":"40","author":"Huber","year":"2013","journal-title":"Environ. Model. Softw."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1038\/nclimate2318","article-title":"Increasing forest disturbances in Europe and their impact on carbon storage","volume":"4","author":"Seidl","year":"2014","journal-title":"Nat. Clim. Chang."},{"key":"ref_36","first-page":"627","article-title":"Perfecting a stand-density index for even-aged forests","volume":"46","author":"Reineke","year":"1933","journal-title":"J. Agric. Res."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.rse.2006.02.017","article-title":"Evaluation of MODIS NPP and GPP products across multiple biomes","volume":"102","author":"Turner","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"206","DOI":"10.5849\/forsci.12-072","article-title":"A Comparison of Carbon Stock Estimates and Projections for the Northeastern United States","volume":"60","author":"MacLean","year":"2014","journal-title":"For. Sci."},{"key":"ref_39","unstructured":"(2012). Austrias National Inventory Report 2012: Umweltbundesamt Submission under the United Nations Framework Convention on Climate Change and the Kyoto Protocol 2012 National Inventory Report for the German Greenhouse Gas Inventory 1990\u20132010, Umweltbundesam."},{"key":"ref_40","unstructured":"K\u00e4ndler, G., and B\u00f6sch, B. (2013). Methodenentwicklung f\u00fcr die 3. Bundeswaldinventur: Modul 3 \u00dcberpr\u00fcfung und Neukonzeption einer Biomassefunktion\u2014Abschlussbericht. Tech. Rep. FVA-BW, 1\u201372. (In German)."},{"key":"ref_41","first-page":"42","article-title":"Tree-based estimator for below-ground biomass of Pinus sylvestris L.","volume":"86","author":"Neubauer","year":"2015","journal-title":"Forstarchiv"},{"key":"ref_42","unstructured":"(2014). Umweltbundesamt Berichterstattung unter der Klimarahmenkonvention der Vereinten Nationen und dem Kyoto- Protokoll 2014 Nationaler Inventarbericht zum Deutschen Treibhausgasinventar 1990\u20132012. Clim. Chang., 24, 965. (In German)."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2010GB003942","article-title":"Relationships between net primary productivity and forest stand age in U.S. forests","volume":"26","author":"He","year":"2012","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.rse.2016.05.021","article-title":"Optimal Resolution for Linking Remotely Sensed and Forest Inventory Data in Europe","volume":"183","author":"Moreno","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_45","first-page":"181","article-title":"Estimating forest leaf area index using satellite images: Comparison of k-NN based Landsat-NFI LAI with MODIS- RSR based LAI product for Finland","volume":"6095","author":"Lehtonen","year":"2015","journal-title":"Boreal Environ. Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/7\/554\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:25:06Z","timestamp":1760210706000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/7\/554"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,29]]},"references-count":45,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2016,7]]}},"alternative-id":["rs8070554"],"URL":"https:\/\/doi.org\/10.3390\/rs8070554","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,6,29]]}}}