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 HiQ-FPAR: A High-Quality and Value-added MODIS Global FPAR Product from 2000 to 2023 Kai Yan 42eae84472725026824fb2fa21ec2a75 gmail.com 1315135 2205251-1315135 https://orcid.org/0000-0003-4262-1772 Xinpei Yu 3474394-0 Jinxiu Liu cf110c3a5eb1e941233a2f50fdb89b90 cugb.edu.cn 1530210 3147510-1530210 Jingrui Wang 2179066-0 Xiuzhi Chen 1530211 2001107-1530211 https://orcid.org/0009-0003-5688-2997 Jiabin Pu 2205254-0 Marie Weiss 27a81ea33d1c142a1a2afba71285d155 inrae.fr marie-weiss 735742 6904-735742 http://www.researcherid.com/rid/I-3663-2012 https://orcid.org/0000-0002-2341-667X https://scholar.google.com/citations?user=W-Co7voAAAAJ&hl=fr https://www.idref.fr/242772420 http://www.researcherid.com/rid/http://www.researcherid.com/rid/I-3663-2012 Ranga B Myneni 2028448-0 Nelly Lucas dcaf6031935bb2e58ec2a3b219135abd inrae.fr Google Incorporated 42271356National Natural Science Foundation of China (NSFC) 42192580 2025-04-09 12:44:31 2025-05-13 11:42:04 2025-04-10 11:41:20 2025-01-15 2025-04-09 inra_etatDocument_local_VE inra_publicVise_local_SC contributor Nelly Lucas dcaf6031935bb2e58ec2a3b219135abd inrae.fr CCSD hal-05027036 https://hal.inrae.fr/hal-05027036 yan:hal-05027036 <i>Scientific Data </i>, 2025, 12 (1), pp.72. <a target="_blank" href="https://dx.doi.org/10.1038/s41597-025-04391-4">&#x27E8;10.1038/s41597-025-04391-4&#x27E9;</a> Scientific Data , 2025, 12 (1), pp.72. &#x27E8;10.1038/s41597-025-04391-4&#x27E9; CC BY-NC-ND 4.0 - Attribution - Non-commercial use - No Derivative Works Sciences De l'Environnement Université d'Avignon GIP Bretagne Environnement Institut National de Recherche en Agriculture, Alimentation et Environnement Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes Réseau télédétection INRAE INRAE PACA International No Yes HiQ-FPAR: A High-Quality and Value-added MODIS Global FPAR Product from 2000 to 2023 Kai Yan 42eae84472725026824fb2fa21ec2a75 gmail.com 1315135 2205251-1315135 https://orcid.org/0000-0003-4262-1772 Xinpei Yu 3474394-0 Jinxiu Liu cf110c3a5eb1e941233a2f50fdb89b90 cugb.edu.cn 1530210 3147510-1530210 Jingrui Wang 2179066-0 Xiuzhi Chen 1530211 2001107-1530211 https://orcid.org/0009-0003-5688-2997 Jiabin Pu 2205254-0 Marie Weiss 27a81ea33d1c142a1a2afba71285d155 inrae.fr marie-weiss 735742 6904-735742 http://www.researcherid.com/rid/I-3663-2012 https://orcid.org/0000-0002-2341-667X https://scholar.google.com/citations?user=W-Co7voAAAAJ&hl=fr https://www.idref.fr/242772420 http://www.researcherid.com/rid/http://www.researcherid.com/rid/I-3663-2012 Ranga B Myneni 2028448-0 96460 2052-4463 2052-4463 Scientific Data Nature Publishing Group 12 1 72 2025-01-15 10.1038/s41597-025-04391-4 39814842 001398119600006 English Environmental Sciences radiation photosynthesis spatio temporal data Journal articles Journal articles Journal articles

The Fraction of Absorbed Photosynthetically Active Radiation (FPAR) is essential for assessing vegetation's photosynthetic efficiency and ecosystem energy balance. While the MODIS FPAR product provides valuable global data, its reliability is compromised by noise, particularly under poor observation conditions like cloud cover. To solve this problem, we developed the Spatio-Temporal Information Composition Algorithm (STICA), which enhances MODIS FPAR by integrating quality control, spatio-temporal correlations, and original FPAR values, resulting in the High-Quality FPAR (HiQ-FPAR) product. HiQ-FPAR shows superior accuracy compared to MODIS FPAR and Sensor-Independent FPAR (SI-FPAR), with RMSE values of 0.130, 0.154, and 0.146, respectively, and R-2 values of 0.722, 0.630, and 0.717. Additionally, HiQ-FPAR exhibits smoother time series in 52.1% of global areas, compared to 44.2% for MODIS. Available on Google Earth Engine and Zenodo, the HiQ-FPAR dataset offers 500 m and 5 km resolution at an 8-day interval from 2000 to 2023, supporting a wide range of FPAR applications.

 https://ror.org/022k4wk35 Beijing Normal University BNU
No. 19, XinJieKouWai St., HaiDian District,Beijing 100875, P. R. China
http://english.bnu.edu.cn/ https://ror.org/04q6c7p66 China University of Geosciences [Beijing]
29 Xueyuan Rd, Haidian, Beijing, China
https://ror.org/04v3ywz14 China Agriculture University [Beijing] 2016-07-29
Beijing 100062 China
149100981 000000012360039X https://ror.org/0064kty71 Q178972 Sun Yat-sen University [Guangzhou] SYSU 1924-01-01
135 Xingang W Rd, Haizhu, Guangzhou, Guangdong, China
http://www.sysu.edu.cn/2012/en/index.htm 026472104 https://ror.org/05qwgg493 Boston University [Boston] BU
One Silber Way, Boston, MA 02215
http://www.bu.edu/ 199917981D Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes EMMAH 2020-01-01
INRAE Domaine Saint-Paul - Site Agroparc 228 route de l'Aérodrome CS40509 84914 AVIGNON CEDEX 9
https://www6.paca.inra.fr/emmah https://ror.org/003vg9w96 Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement INRAE 2020-01-01
https://ror.org/00mfpxb84 Avignon Université AU
74 rue Louis Pasteur - 84 029 Avignon cedex 1
http://www.univ-avignon.fr/