Literature DB >> 28614593

Inconsistencies of interannual variability and trends in long-term satellite leaf area index products.

Chongya Jiang1, Youngryel Ryu1,2,3,4, Hongliang Fang5,6, Ranga Myneni7, Martin Claverie8,9, Zaichun Zhu10.   

Abstract

Understanding the long-term performance of global satellite leaf area index (LAI) products is important for global change research. However, few effort has been devoted to evaluating the long-term time-series consistencies of LAI products. This study compared four long-term LAI products (GLASS, GLOBMAP, LAI3g, and TCDR) in terms of trends, interannual variabilities, and uncertainty variations from 1982 through 2011. This study also used four ancillary LAI products (GEOV1, MERIS, MODIS C5, and MODIS C6) from 2003 through 2011 to help clarify the performances of the four long-term LAI products. In general, there were marked discrepancies between the four long-term LAI products. During the pre-MODIS period (1982-1999), both linear trends and interannual variabilities of global mean LAI followed the order GLASS>LAI3g>TCDR>GLOBMAP. The GLASS linear trend and interannual variability were almost 4.5 times those of GLOBMAP. During the overlap period (2003-2011), GLASS and GLOBMAP exhibited a decreasing trend, TCDR no trend, and LAI3g an increasing trend. GEOV1, MERIS, and MODIS C6 also exhibited an increasing trend, but to a much smaller extent than that from LAI3g. During both periods, the R2 of detrended anomalies between the four long-term LAI products was smaller than 0.4 for most regions. Interannual variabilities of the four long-term LAI products were considerably different over the two periods, and the differences followed the order GLASS>LAI3g>TCDR>GLOBMAP. Uncertainty variations quantified by a collocation error model followed the same order. Our results indicate that the four long-term LAI products were neither intraconsistent over time nor interconsistent with each other. These inconsistencies may be due to NOAA satellite orbit changes and MODIS sensor degradation. Caution should be used in the interpretation of global changes derived from the four long-term LAI products.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  GLASS; GLOBMAP; LAI3g; TCDR; intercomparison; leaf area index (LAI); time series

Mesh:

Year:  2017        PMID: 28614593     DOI: 10.1111/gcb.13787

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  11 in total

1.  Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions.

Authors:  Adnan Rajib; I Luk Kim; Heather E Golden; Charles R Lane; Sujay V Kumar; Zhiqiang Yu; Saranya Jeyalakshmi
Journal:  Remote Sens (Basel)       Date:  2020-07-04       Impact factor: 4.848

2.  Comparison of EPIC-Simulated and MODIS-Derived Leaf Area Index (LAI) across Multiple Spatial Scales.

Authors:  John S Iiames; Ellen Cooter; Andrew N Pilant; Yang Shao
Journal:  Remote Sens (Basel)       Date:  2020-08-26       Impact factor: 4.848

3.  Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring.

Authors:  Eatidal Amin; Jochem Verrelst; Juan Pablo Rivera-Caicedo; Luca Pipia; Antonio Ruiz-Verdú; José Moreno
Journal:  Remote Sens Environ       Date:  2020-11-21       Impact factor: 13.850

4.  Widespread increasing vegetation sensitivity to soil moisture.

Authors:  Wantong Li; Mirco Migliavacca; Matthias Forkel; Jasper M C Denissen; Markus Reichstein; Hui Yang; Gregory Duveiller; Ulrich Weber; Rene Orth
Journal:  Nat Commun       Date:  2022-07-08       Impact factor: 17.694

5.  No trends in spring and autumn phenology during the global warming hiatus.

Authors:  Xufeng Wang; Jingfeng Xiao; Xin Li; Guodong Cheng; Mingguo Ma; Gaofeng Zhu; M Altaf Arain; T Andrew Black; Rachhpal S Jassal
Journal:  Nat Commun       Date:  2019-06-03       Impact factor: 14.919

6.  Vegetation structural change since 1981 significantly enhanced the terrestrial carbon sink.

Authors:  Jing M Chen; Weimin Ju; Philippe Ciais; Nicolas Viovy; Ronggao Liu; Yang Liu; Xuehe Lu
Journal:  Nat Commun       Date:  2019-09-18       Impact factor: 14.919

7.  Increased atmospheric vapor pressure deficit reduces global vegetation growth.

Authors:  Wenping Yuan; Yi Zheng; Shilong Piao; Philippe Ciais; Danica Lombardozzi; Yingping Wang; Youngryel Ryu; Guixing Chen; Wenjie Dong; Zhongming Hu; Atul K Jain; Chongya Jiang; Etsushi Kato; Shihua Li; Sebastian Lienert; Shuguang Liu; Julia E M S Nabel; Zhangcai Qin; Timothy Quine; Stephen Sitch; William K Smith; Fan Wang; Chaoyang Wu; Zhiqiang Xiao; Song Yang
Journal:  Sci Adv       Date:  2019-08-14       Impact factor: 14.136

8.  Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation.

Authors:  Yanghui Kang; Feng Gao; Martha Anderson; William Kustas; Hector Nieto; Kyle Knipper; Yun Yang; William White; Joseph Alfieri; Alfonso Torres-Rua; Maria Mar Alsina; Arnon Karnieli
Journal:  Irrig Sci       Date:  2022-06-09       Impact factor: 3.519

9.  Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models.

Authors:  Giovanni Forzieri; Gregory Duveiller; Goran Georgievski; Wei Li; Eddy Robertson; Markus Kautz; Peter Lawrence; Lorea Garcia San Martin; Peter Anthoni; Philippe Ciais; Julia Pongratz; Stephen Sitch; Andy Wiltshire; Almut Arneth; Alessandro Cescatti
Journal:  J Adv Model Earth Syst       Date:  2018-05-06       Impact factor: 6.660

10.  Vegetation-based climate mitigation in a warmer and greener World.

Authors:  Ramdane Alkama; Giovanni Forzieri; Gregory Duveiller; Giacomo Grassi; Shunlin Liang; Alessandro Cescatti
Journal:  Nat Commun       Date:  2022-02-01       Impact factor: 17.694

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