乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T05:26:18Z","timestamp":1736400378189,"version":"3.32.0"},"reference-count":31,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2016,4,26]],"date-time":"2016-04-26T00:00:00Z","timestamp":1461628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NASA Earth Science Program"},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2013CB733402"],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"key program of NSFC","award":["41331171"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"As the latest version of Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) products, Collection 6 (C6) has been distributed since August 2015. This collection is evaluated in this two-part series with the goal of assessing product accuracy, uncertainty and consistency with the previous version. In this first paper, we compare C6 (MOD15A2H) with Collection 5 (C5) to check for consistency and discuss the scale effects associated with changing spatial resolution between the two collections and benefits from improvements to algorithm inputs. Compared with C5, C6 benefits from two improved inputs: (1) L2G\u2013lite surface reflectance at 500 m resolution in place of reflectance at 1 km resolution; and (2) new multi-year land-cover product at 500 m resolution in place of the 1 km static land-cover product. Global and seasonal comparison between C5 and C6 indicates good continuity and consistency for all biome types. Moreover, inter-annual LAI anomalies at the regional scale from C5 and C6 agree well. The proportion of main radiative transfer algorithm retrievals in C6 increased slightly in most biome types, notably including a 17% improvement in evergreen broadleaf forests. With same biome input, the mean RMSE of LAI and FPAR between C5 and C6 at global scale are 0.29 and 0.091, respectively, but biome type disagreement worsens the consistency (LAI: 0.39, FPAR: 0.102). By quantifying the impact of input changes, we find that the improvements of both land-cover and reflectance products improve LAI\/FPAR products. Moreover, we find that spatial scale effects due to a resolution change from 1 km to 500 m do not cause any significant differences.<\/jats:p>","DOI":"10.3390\/rs8050359","type":"journal-article","created":{"date-parts":[[2016,4,26]],"date-time":"2016-04-26T14:21:21Z","timestamp":1461680481000},"page":"359","source":"Crossref","is-referenced-by-count":160,"title":["Evaluation of MODIS LAI\/FPAR Product Collection 6. Part 1: Consistency and Improvements"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4262-1772","authenticated-orcid":false,"given":"Kai","family":"Yan","sequence":"first","affiliation":[{"name":"School of Geography, State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China"},{"name":"Department of Earth and Environment, Boston University, Boston, MA 02215, USA"}]},{"given":"Taejin","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, Boston, MA 02215, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5030-748X","authenticated-orcid":false,"given":"Guangjian","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Geography, State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8079-4079","authenticated-orcid":false,"given":"Chi","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, Boston, MA 02215, USA"}]},{"given":"Bin","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, Boston, MA 02215, USA"},{"name":"Beijing Key Lab of Spatial Information Integration & Its Applications, Institute of RS & GIS, Peking University, Beijing 100871, China"}]},{"given":"Zhao","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, Boston, MA 02215, USA"}]},{"given":"Ramakrishna","family":"Nemani","sequence":"additional","affiliation":[{"name":"NASA Ames Research Center, Moffett Field, CA 94035, USA"}]},{"given":"Yuri","family":"Knyazikhin","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, Boston, MA 02215, USA"}]},{"given":"Ranga","family":"Myneni","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, Boston, MA 02215, USA"}]}],"member":"1968","published-online":{"date-parts":[[2016,4,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/S0034-4257(02)00074-3","article-title":"Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data","volume":"83","author":"Myneni","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1126\/science.275.5299.502","article-title":"Modeling the exchanges of energy, water, and carbon between continents and the atmosphere","volume":"275","author":"Sellers","year":"1997","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"927","DOI":"10.3390\/rs5020927","article-title":"Global data sets of vegetation leaf area index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011","volume":"5","author":"Zhu","year":"2013","journal-title":"Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"32257","DOI":"10.1029\/98JD02462","article-title":"Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data","volume":"103","author":"Knyazikhin","year":"1998","journal-title":"J. Geophys. Res. Atmos."},{"unstructured":"Knyazikhin, Y., Glassy, J., Privette, J.L., Tian, Y., Lotsch, A., Zhang, Y., Wang, Y., Morisette, J.T., Votava, P., and Myneni, R.B. (1999). MODIS Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation Absorbed by Vegetation (FPAR) Product (MOD15) Algorithm Theoretical Basis Document, NASA Goddard Space Flight Center. Theoretical Basis Document.","key":"ref_5"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1885","DOI":"10.1109\/TGRS.2006.871215","article-title":"MODIS leaf area index products: From validation to algorithm improvement","volume":"44","author":"Yang","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","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_8","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.rse.2006.04.016","article-title":"Analysis of leaf area index products from combination of MODIS Terra and Aqua data","volume":"104","author":"Yang","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/S0034-4257(00)00128-0","article-title":"Stochastic Modeling of Radiation Regime in Discontinuous Vegetation Canopies","volume":"74","author":"Shabanov","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_10","first-page":"D22","article-title":"Analysis of a multiyear global vegetation leaf area index data set","volume":"107","author":"Buermann","year":"2002","journal-title":"J. Geophys. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"4318","DOI":"10.1016\/j.rse.2008.07.013","article-title":"Generating vegetation leaf area index Earth system data record from multiple sensors. Part 2: Implementation, analysis and validation","volume":"112","author":"Ganguly","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1002\/jgrg.20051","article-title":"Characterization and intercomparison of global moderate resolution leaf area index (LAI) products: Analysis of climatologies and theoretical uncertainties","volume":"118","author":"Fang","year":"2013","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1359","DOI":"10.3390\/rs70201359","article-title":"Validation of MODIS and GEOV1 fPAR Products in a Boreal Forest Site in Finland","volume":"7","author":"Majasalmi","year":"2015","journal-title":"Remote Sens."},{"doi-asserted-by":"crossref","unstructured":"Garrigues, S., Lacaze, R., Baret, F., Morisette, J.T., Weiss, M., Nickeson, J.E., Fernandes, R., Plummer, S., Shabanov, N.V., and Myneni, R.B. (2008). Validation and intercomparison of global Leaf Area Index products derived from remote sensing data. J. Geophys. Res., 113.","key":"ref_14","DOI":"10.1029\/2007JG000635"},{"doi-asserted-by":"crossref","unstructured":"Ross, J. (1981). The Radiation Regime and Architecture of Plants Stands, Springer Science & Business Media.","key":"ref_15","DOI":"10.1007\/978-94-009-8647-3"},{"doi-asserted-by":"crossref","unstructured":"Myneni, R.B., and Ross, J. (1991). Photon-Vegetation Interactions: Applications in Optical Remote Sensing and Plant Ecology, Springer Science & Business Media.","key":"ref_16","DOI":"10.1007\/978-3-642-75389-3"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.rse.2006.08.001","article-title":"Canopy spectral invariants for remote sensing and model applications","volume":"106","author":"Huang","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1016\/0034-4257(94)90016-7","article-title":"On the relationship between FAPAR and NDVI","volume":"49","author":"Myneni","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/S0034-4257(01)00225-5","article-title":"Investigation of product accuracy as a function of input and model uncertainties: Case study with SeaWiFS and MODIS LAI\/FPAR algorithm","volume":"78","author":"Wang","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1380","DOI":"10.1109\/36.649788","article-title":"Estimation of global leaf area index and absorbed par using radiative transfer models","volume":"35","author":"Myneni","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"830","DOI":"10.3390\/rs5020830","article-title":"The impact of potential land cover misclassification on MODIS leaf area index (LAI) estimation: A statistical perspective","volume":"5","author":"Fang","year":"2013","journal-title":"Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1016\/j.agrformet.2008.02.014","article-title":"Intercomparison and sensitivity analysis of Leaf Area Index retrievals from LAI-2000, AccuPAR, and digital hemispherical photography over croplands","volume":"148","author":"Garrigues","year":"2008","journal-title":"Agric. Forest Meteorol."},{"unstructured":"Vermote, E.F., and Vermeulen, A. Atmospheric Correction Algorithm: Spectral Reflectances (MOD09). Available online: http:\/\/dratmos.geog.umd.edu\/files\/pdf\/atbd_mod09.pdf.","key":"ref_23"},{"key":"ref_24","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."},{"unstructured":"Wolfe, R.E., Devadiga, S., Masuoka, E.J., Running, S.W., Vermote, E., Giglio, L., Wan, Z., Riggs, G.A., Schaaf, C., and Myneni, R.B. Improvements to the MODIS Land Products in Collection Version 6. Available online: http:\/\/adsabs.harvard.edu\/abs\/2013AGUFM.B41D0430W.","key":"ref_25"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1175\/1520-0442-16.9.1261","article-title":"A global database of land surface parameters at 1-km resolution in meteorological and climate models","volume":"16","author":"Masson","year":"2003","journal-title":"J. Climat."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"9137","DOI":"10.1175\/JCLI-D-12-00642.1","article-title":"Two contrasting severe seasonal extremes in tropical South America in 2012: Flood in Amazonia and drought in northeast Brazil","volume":"26","author":"Marengo","year":"2013","journal-title":"J. Climat."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.rse.2011.12.001","article-title":"Impact of sensor degradation on the MODIS NDVI time series","volume":"119","author":"Wang","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1768","DOI":"10.3390\/s90301768","article-title":"Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling","volume":"9","author":"Wu","year":"2009","journal-title":"Sensors"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/S0034-4257(02)00102-5","article-title":"Radiative transfer based scaling of LAI retrievals from reflectance data of different resolutions","volume":"84","author":"Tian","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"4333","DOI":"10.1016\/j.rse.2008.07.014","article-title":"Generating vegetation leaf area index earth system data record from multiple sensors. Part 1: Theory","volume":"112","author":"Ganguly","year":"2008","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/5\/359\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T16:48:06Z","timestamp":1736354886000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/5\/359"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,26]]},"references-count":31,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2016,5]]}},"alternative-id":["rs8050359"],"URL":"https:\/\/doi.org\/10.3390\/rs8050359","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2016,4,26]]}}}