Evaluation of Spatiotemporal Variations of Global Fractional Vegetation Cover Based on GIMMS NDVI Data from 1982 to 2011

Fractional vegetation cover (FVC) is an important biophysical parameter of terrestrial ecosystems. Variation of FVC is a major problem in research fields related to remote sensing applications. In this study, the global FVC from 1982 to 2011 was estimated by GIMMS NDVI data, USGS global land cover characteristics data and HWSD soil type data with a modified dimidiate pixel model, which considered vegetation and soil types and mixed pixels decomposition. The evaluation of the robustness and accuracy of the GIMMS FVC with MODIS FVC and Validation of Land European Remote sensing Instruments (VALERI) FVC show high reliability. Trends of the annual FVCmax and FVCmean datasets in the last 30 years were reported by the Mann-Kendall method and Sen's slope estimator. The results indicated that global FVC change was 0.20 and 0.60 in a year with obvious seasonal variability. All of the continents in the world experience a change in the annual FVCmax and FVCmean, which represents biomass production, except for Oceania, which exhibited a significant increase based on a significance level of p = 0.001 with the Student's t-test. Global annual maximum and mean FVC growth rates are 0.14%/y and 0.12%/y, respectively. The trends of the annual FVCmax and FVCmean based on pixels also illustrated that the global vegetation had turned green in the last 30 years. A significant trend on the p = 0.05 level was found for 15.36% of the GIMMS FVCmax pixels on a global scale (excluding permanent

[1]  E. Small,et al.  The impact of soil reflectance on the quantification of the green vegetation fraction from NDVI , 2005 .

[2]  H. B. Mann.  Nonparametric Tests Against Trend , 1945 .

[3]  H. Storch,et al.  Analysis of Climate Variability , 1995 .

[4]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[5]  G. Gutman,et al.  The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models , 1998 .

[6]  Jindi Wang,et al.  Advanced remote sensing : terrestrial information extraction and applications , 2012 .

[7]  A. Huete,et al.  MODIS VEGETATION INDEX ( MOD 13 ) ALGORITHM THEORETICAL BASIS DOCUMENT Version 3 . 1 Principal Investigators , 1999 .

[8]  R. Anderson.  Distribution of the Serial Correlation Coefficient , 1942 .

[9]  Hans von Storch,et al.  Monte Carlo experiments on the effect of serial correlation on the Mann-Kendall test of trend , 1992 .

[10]  W. D. Hogg,et al.  Trends in Canadian streamflow , 2000 .

[11]  M. Gocić,et al.  Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia , 2013 .

[12]  Jan Adamowski,et al.  Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008) , 2012 .

[13]  Khaled H. Hamed.  Exact Distribution of the Mann-Kendall Trend Test Statistic for Persistent Data , 2009 .

[14]  H. G. Jerrard.  Advanced remote sensing: Edited by R.G. Nishinaga SPIE Proceedings, Volume 363, 1983, pp v + 156, $49 , 1984 .

[15]  F. Chapin,et al.  Role of Land-Surface Changes in Arctic Summer Warming , 2005, Science.

[16]  Trevor Hastie,et al.  Additive Logistic Regression : a Statistical , 1998 .

[17]  Elia A. Machado,et al.  Seasonal trend analysis of image time series , 2009 .

[18]  Siham Tabik,et al.  Evaluating the Consistency of the 1982–1999 NDVI Trends in the Iberian Peninsula across Four Time-series Derived from the AVHRR Sensor: LTDR, GIMMS, FASIR, and PAL-II , 2010, Sensors.

[19]  Thomas R. Loveland,et al.  The global land-cover characteristics database : The users' perspective , 1999 .

[20]  Michael Frankfurter,et al.  Statistical Methods For Environmental Pollution Monitoring , 2016 .

[21]  Rasmus Fensholt,et al.  Assessing Land Degradation/Recovery in the African Sahel from Long-Term Earth Observation Based Primary Productivity and Precipitation Relationships , 2013, Remote. Sens..

[22]  J. Friedman.  Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .

[23]  Rick A. Reynolds,et al.  Massive Phytoplankton Blooms Under Arctic Sea Ice , 2012, Science.

[24]  O. Hoegh‐Guldberg,et al.  Ecological responses to recent climate change , 2002, Nature.

[25]  Terhikki Manninen,et al.  Observed changes in the albedo of the Arctic sea-ice zone for the period 1982–2009 , 2013 .

[26]  P. Sen.  Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .

[27]  R. Forthofer,et al.  Rank Correlation Methods , 1981 .

[28]  Edwin W. Pak,et al.  An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data , 2005 .

[29]  Hossein Tabari,et al.  Changes of Pan Evaporation in the West of Iran , 2011 .

[30]  K. Trenberth,et al.  Modern Global Climate Change , 2003, Science.

[31]  Limin Yang,et al.  Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data , 2000 .

[32]  Alan H. Strahler,et al.  Global land cover mapping from MODIS: algorithms and early results , 2002 .

[33]  J. Houghton,et al.  Climate change 2001 : the scientific basis , 2001 .

[34]  A. Huete,et al.  MODIS Vegetation Index Compositing Approach: A Prototype with AVHRR Data , 1999 .

[35]  Piers J. Sellers,et al.  Remote sensing of the land biosphere and biogeochemistry in the EOS era: science priorities, methods and implementation—EOS land biosphere and biogeochemical cycles panels , 1993 .

[36]  W. L. Lane,et al.  Applied Modeling of Hydrologic Time Series , 1997 .

[37]  J. ...,et al.  Applied modeling of hydrologic time series , 1980 .

[38]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[39]  C. Tucker,et al.  Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999 , 2001, International journal of biometeorology.

[40]  R. Fensholt,et al.  Evaluation of Earth Observation based global long term vegetation trends — Comparing GIMMS and MODIS global NDVI time series , 2012 .

[41]  Søren Rysgaard,et al.  The impact of lower sea-ice extent on Arctic greenhouse-gas exchange , 2013 .

[42]  Bo Liu,et al.  Remote sensing of fractional cover of vegetation and exposed bedrock for karst rocky desertification assessment , 2012 .

[43]  Xi Chen,et al.  A comparison of methods for estimating fractional vegetation cover in arid regions , 2011 .

[44]  Arwyn Jones,et al.  Harmonized World Soil Database (HWSD) , 2014 .

[45]  Khaled H. Hamed,et al.  A modified Mann-Kendall trend test for autocorrelated data , 1998 .

[46]  B. Holben.  Characteristics of maximum-value composite images from temporal AVHRR data , 1986 .

[47]  R. DeFries,et al.  Interannual variability and decadal trend of global fractional vegetation cover from 1982 to 2000 , 2003 .

[48]  N. Mohindra,et al.  Scientific basis , 2005, British Dental Journal.

[49]  C. Tucker,et al.  Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999 , 2001 .

[50]  Jeffrey L. Privette,et al.  Directional effects in a daily AVHRR land surface temperature dataset over Africa , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[51]  I. Simmonds,et al.  The central role of diminishing sea ice in recent Arctic temperature amplification , 2010, Nature.

[52]  Wilco Hazeleger,et al.  Arctic winter warming amplified by the thermal inversion and consequent low infrared cooling to space , 2011 .

[53]  Jaak Jaagus,et al.  Climatic changes in Estonia during the second half of the 20th century in relationship with changes in large-scale atmospheric circulation , 2006 .

[54]  Chang-Hoi Ho,et al.  Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982–2008 , 2011 .

[55]  R. DeFries,et al.  Derivation and Evaluation of Global 1-km Fractional Vegetation Cover Data for Land Modeling , 2000 .

[56]  R. Dickinson,et al.  The Common Land Model , 2003 .

[57]  Z. C. Zhoua,et al.  Modeling vegetation coverage and soil erosion in the Loess Plateau Area of China , 2006 .

[58]  Molly E. Brown,et al.  Evaluation of the consistency of long-term NDVI time series derived from AVHRR,SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[59]  Guangjian Yan,et al.  Fractional vegetation cover retrieval using multi-spatial resolution data and plant growth model , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[60]  T. Carlson,et al.  On the relation between NDVI, fractional vegetation cover, and leaf area index , 1997 .

[61]  H. Storch,et al.  Analysis of climate variability : applications of statistical techniques : proceedings of an autumn school organized by the Commission of the European Community on Elba from October 30 to November 6, 1993 , 1995 .

[62]  Maurice G. Kendall,et al.  The advanced theory of statistics , 1945 .

[63]  Hossein Tabari,et al.  Analysis of trends in temperature data in arid and semi-arid regions of Iran , 2011 .

[64]  Mark Hebblewhite,et al.  Ecological Consequences of Sea-Ice Decline , 2013, Science.

[65]  Marc Macias-Fauria,et al.  Eurasian Arctic greening reveals teleconnections and the potential for structurally novel ecosystems , 2012 .