{"id":5492,"date":"2023-01-18T10:06:36","date_gmt":"2023-01-18T15:06:36","guid":{"rendered":"https:\/\/sites.bu.edu\/cliveg\/?page_id=5492"},"modified":"2026-03-21T11:39:53","modified_gmt":"2026-03-21T15:39:53","slug":"pulications-2023","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/cliveg\/publications\/pulications-2023\/","title":{"rendered":""},"content":{"rendered":"

Publications 2023<\/strong><\/h2>\n
    \n
  1. Zuo et al., 2023.<\/a> Simulating Potential Tree Height for Beech\u2013Maple\u2013Birch Forests in Northeastern United States on Google Earth Engine, J. Remote Sens., 2023;3:Article 0084. https:\/\/doi.org\/10.34133\/remotesensing.0084<\/li>\n
  2. Cao et al., 2023.<\/a> Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020, Earth Syst. Sci. Data, 15, 4877\u20134899, 2023, https:\/\/doi.org\/10.5194\/essd-15-4877-2023<\/li>\n
  3. Pan et al., 2023.<\/a> Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes, Env. Res. Lett., 18 044045, https:\/\/doi.org\/10.1088\/1748-9326\/acca34.<\/li>\n
  4. Li et al., 2023.<\/a> Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022, Earth Syst. Sci. Data, 15, 4181\u20134203, https:\/\/doi.org\/10.5194\/essd-15-4181-2023, 2023.<\/li>\n
  5. Zeng et al., 2023.<\/a> Structural complexity biases vegetation greenness measures. Nat Ecol Evol (2023). https:\/\/doi.org\/10.1038\/s41559-023-02187-6<\/li>\n
  6. Gao et al., 2023.<\/a> Evaluating the saturation effect of vegetation indices in forests using 3D radiative transfer simulations and satellite observations. Remote Sens. Environ., doi: 10.1016\/j.rse.2023.113665<\/li>\n
  7. Zhang et al., 2023.<\/a> Autumn canopy senescence has slowed down with global warming since the 1980s in the Northern Hemisphere. Comm. Earth and Environ., doi: 10.1038\/s43247-023-00835-0<\/li>\n
  8. Wang et al., 2023.<\/a> Improving the Quality of MODIS LAI Products by Exploiting Spatiotemporal Correlation Information. IEEE Trans. Geosci. Remote Sens., doi: 10.1109\/TGRS.2023.3264280<\/li>\n
  9. Meng et al., 2023.<\/a> Climate change increases carbon allocation to leaves in early leaf green-up. Ecol. Lett., doi: 10.1111\/ele.14205<\/li>\n
  10. Tucker et al., 2023.<\/a> Sub-continental-scale carbon stocks of individual trees in African drylands. Nature, doi: 10.110.1038\/s41586-022-05653-6<\/li>\n
  11. Pu et al., 2023.<\/a> Improving the MODIS LAI compositing using prior time-series information. Remote Sens.Env.,doi: 10.1016\/j.rse.2023.113493<\/li>\n
  12. Dong et al., 2023.<\/a> A method for retrieving coarse-resolution leaf area index for mixed biomes using a mixed-pixel correction factor. IEEE Trans. Geosci. Remote Sens.,doi: 10.1109\/TGRS.2023.3235949<\/li>\n
  13. Li et al., 2023.<\/a>A Novel Inversion Approach for the Kernel-Driven BRDF Model for Heterogeneous Pixels. J. Remote Sens., doi: 10.34133\/remotesensing.0038<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    Publications 2023 Zuo et al., 2023. Simulating Potential Tree Height for Beech\u2013Maple\u2013Birch Forests in Northeastern United States on Google Earth Engine, J. Remote Sens., 2023;3:Article 0084. https:\/\/doi.org\/10.34133\/remotesensing.0084 Cao et al., 2023. Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020, Earth Syst. Sci. Data, 15, 4877\u20134899, 2023, https:\/\/doi.org\/10.5194\/essd-15-4877-2023 […]<\/p>\n","protected":false},"author":7541,"featured_media":0,"parent":21,"menu_order":7,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-sidebars.php","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/pages\/5492"}],"collection":[{"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/users\/7541"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/comments?post=5492"}],"version-history":[{"count":16,"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/pages\/5492\/revisions"}],"predecessor-version":[{"id":6396,"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/pages\/5492\/revisions\/6396"}],"up":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/pages\/21"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/media?parent=5492"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}