6533b82cfe1ef96bd128fd78
RESEARCH PRODUCT
Characterization and intercomparison of global moderate resolution leaf area index (LAI) products: Analysis of climatologies and theoretical uncertainties
Chongya JiangBernard PintyShunlin LiangShunlin LiangRonggao LiuFrédéric BaretZaichun ZhuRanga B. MyneniShanshan WeiZhiqiang XiaoJavier Garcia-haroJing M. ChenHongliang FangWenjuan Lisubject
Atmospheric Science010504 meteorology & atmospheric sciencesMeteorologyGlobal climateBiome0207 environmental engineeringSoil Science02 engineering and technologyAquatic ScienceWinter timeAtmospheric sciences01 natural sciencesSatellite dataLeaf area index020701 environmental engineeringRetrieval algorithm0105 earth and related environmental sciencesWater Science and TechnologyEcologyPaleontologyForestryVegetation15. Life on land13. Climate actionPhotosynthetically active radiationEnvironmental sciencedescription
products (R 2 >0.74), with typical deviations of<0.5 for nonforest and<1.0 for forest biomes. JRC-TIP, the only effective LAI product, is about half the values of the other LAI products. The average uncertainties and relative uncertainties are in the following order: MODIS (0.17, 11.5%)<GEOV1 (0.24, 26.6%)<Land-SAF (0.36, 37.8%) <JRC-TIP (0.43, 114.3%). The highest relative uncertainties usually appear in ecological transition zones. More than 75% of MODIS, GEOV1, JRC-TIP, and Land-SAF pixels are within the absolute uncertainty requirements (� 0.5) set by the Global Climate Observing System (GCOS), whereas more than 78.5% of MODIS and 44.6% of GEOV1 pixels are within the threshold for relative uncertainty (20%). This study reveals the discrepancies mainly due to differences between definitions, retrieval algorithms, and input data. Future product development and validation studies should focus on areas (e.g., sparsely vegetated and savanna areas) and periods (e.g., winter time) with higher uncertainties.
year | journal | country | edition | language |
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2013-04-17 | Journal of Geophysical Research: Biogeosciences |