{"id":2075,"date":"2016-03-28T18:06:47","date_gmt":"2016-03-28T22:06:47","guid":{"rendered":"https:\/\/sites.bu.edu\/cliveg\/?page_id=2075"},"modified":"2016-12-12T11:28:07","modified_gmt":"2016-12-12T16:28:07","slug":"publications-2016","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/cliveg\/publications\/publications-2016\/","title":{"rendered":"Publications-2016"},"content":{"rendered":"<h2><strong>Publications 2016<\/strong><\/h2>\n<ol>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/04\/zhu-greening-earth-ncc-2016.pdf\" target=\"_blank\">Zhu et al., 2016.<\/a> Greening of the Earth and its Drivers. Nature Climate Change, doi:10.1038\/nclimate3004<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/06\/mao-greening-ncc-2016.pdf\" target=\"_blank\">Mao et al., 2016.<\/a> Human-induced Greening of the Northern Extratropical Land Surface. Nature Climate Change, doi: 10.1038\/nclimate3056<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/11\/Li-Cbudget-pnas-2016.pdf\" target=\"_blank\">Li et al., 2016.<\/a> Reducing uncertainties in decadal variability of the global carbon budget with multiple datasets. PNAS, doi: 10.1073\/pnas.1603956113<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/08\/Choi-asrl-geb-2016.pdf\" target=\"_blank\">Choi et al., 2016.<\/a> Application of the metabolic scaling theory and water\u2013energy balance equation to model large-scale patterns of maximum forest canopy height. Global Ecol. Biogeography, doi:10.1111\/geb.12503<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/08\/park-north-erl-2016.pdf\" target=\"_blank\">Park et al., 2016.<\/a> Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data. Env. Res. Lett., doi:10.1088\/1748-9326\/11\/8\/084001<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/04\/kai-modis-c6-01-rs-2016.pdf\" target=\"_blank\">Yan et al., 2016.<\/a> Evaluation of MODIS LAI\/FPAR Product Collection 6. Part 1: Consistency and Improvements, Remote Sensing, doi:10.3390\/rs8050359<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/06\/kai-modis-c6-valid-rs-2016.pdf\" target=\"_blank\">Yan et al., 2016.<\/a> Evaluation of MODIS LAI\/FPAR Product Collection 6. Part 2: Validation and Intercomparison, Remote Sensing, doi:10.3390\/rs8060460<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/04\/bi-amazon-drought-maiac-rs-2016.pdf\" target=\"_blank\">Bi et al., 2016.<\/a> Amazon Forests\u2019 Response to Droughts: A Perspective from the MAIAC Product, Remote Sensing, doi:10.3390\/rs8040356<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/06\/yan-yang-01-rs-2016.pdf\" target=\"_blank\">Yang et al., 2016.<\/a> Abiotic Controls on Macroscale Variations of Humid Tropical Forest Height, Remote Sensing, doi:10.3390\/rs8060494<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/07\/bin-yang-01-rs-2016.pdf\" target=\"_blank\">Yang et al., 2016.<\/a> Analyses of Impact of Needle Surface Properties on Estimation of Needle Absorption Spectrum: Case Study with Coniferous Needle and Shoot Samples, Remote Sensing, doi::10.3390\/rs8070563<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/06\/chen-ap-ijde-2016.png\" target=\"_blank\">Chen et al., 2016.<\/a> Satellite-observed changes in terrestrial vegetation growth trends across the Asia-Pacific region associated with land cover and climate from 1982 to 2011. Int. J. Digital Earth (doi:10.1080\/17538947.2016.1180549)<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/03\/yan-china-drought-jgr-atmos-2015.pdf\" target=\"_blank\">Yan et al., 2016.<\/a> Assessing spatiotemporal variation of drought in China and its impact on agriculture during 1982-2011 by using PDSI indices and agriculture drought survey data. J. Geophys. Res., (Atmos.), (doi:10.1002\/2015JD024285)<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/12\/Yin-China-LAI-Int-J-Biomet-2016.pdf\" target=\"_blank\">Yin et al., 2016.<\/a> Nonlinear variations of forest leaf area index over China during 1982\u20132010 based on EEMD method. Int J Biometeorol., DOI 10.1007\/s00484-016-1277-x<\/li>\n<li><a href=\"https:\/\/sites.bu.edu\/cliveg\/files\/2016\/03\/catalano-esd-2016.pdf\" target=\"_blank\">Catalano et al., 2016.<\/a> Observationally based analysis of land\u2013atmosphere coupling. Earth Syst. Dynam. Discuss., Earth Syst. Dynam., 7, 251\u2013266, 2016 (doi:10.5194\/esd-7-251-2016)<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Publications 2016 Zhu et al., 2016. Greening of the Earth and its Drivers. Nature Climate Change, doi:10.1038\/nclimate3004 Mao et al., 2016. Human-induced Greening of the Northern Extratropical Land Surface. Nature Climate Change, doi: 10.1038\/nclimate3056 Li et al., 2016. Reducing uncertainties in decadal variability of the global carbon budget with multiple datasets. PNAS, doi: 10.1073\/pnas.1603956113 Choi [&hellip;]<\/p>\n","protected":false},"author":7541,"featured_media":0,"parent":21,"menu_order":14,"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\/2075"}],"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=2075"}],"version-history":[{"count":15,"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/pages\/2075\/revisions"}],"predecessor-version":[{"id":2639,"href":"https:\/\/sites.bu.edu\/cliveg\/wp-json\/wp\/v2\/pages\/2075\/revisions\/2639"}],"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=2075"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}