Seasonal dynamic pattern analysis on global FPAR derived from AVHRR GIMMS NDVI

International Journal of Digital Earth

Volumn 5, Issue 5, 2012, Pages 439-455

  Peng, Dailiang ^a,b   Zhang, Bing ^a,b   Liu, Liangyun ^a,b   Chen, Dongmei ^c   Fang, Hongliang ^d   Hu, Yong ^a  

^a CENTER FOR EARTH OBSERVATION AND DIGITAL EARTH   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c QUEEN S UNIVERSITY   (Canada)

^d INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

Author keywords

AVHRR GIMMS NDVI; global FPAR; seasonal pattern

Indexed keywords

ADVANCED VERY HIGH RESOLUTION RADIOMETERS (AVHRR); TIME SERIES;

AVHRR GIMMS NDVI; GLOBAL FPAR; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NORMALISED DIFFERENCE VEGETATION INDEX; NORTHERN HEMISPHERES; PHOTOSYNTHETICALLY ACTIVE RADIATION; POSITIVE CORRELATIONS; SEASONAL PATTERNS;

VEGETATION;

AVHRR; DATA SET; MODIS; NDVI; PHOTOSYNTHETICALLY ACTIVE RADIATION; PRECIPITATION ASSESSMENT; SEASONAL VARIATION; SPATIOTEMPORAL ANALYSIS;

EID: 84866437054     PISSN: 17538947     EISSN: 17538955     Source Type: Journal    
DOI: 10.1080/17538947.2011.596579     Document Type: Article

References (42)

1. Bacour, C. 2006. Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data. Principles and validation. Remote Sensing of Environment, 105: 313-325.
2. Bicheron, P., et al., 2008a. Globcover products description and validation report [online]. European Space Agency. Available from: http://ionia1.esrin.esa.int/docs/GLOBCOVER_Products_Description_Validation_Report_I2.1.pdf [Accessed 6 July 2010].
3. Bicheron, P., et al., 2008b. Geo-location assessment of MERIS Globcover ortho-rectified products. Proceedings of MERIS-AATSR workshop, September 2008, Frascati, Italy: ESA, SP-666.
4. Buermann, W. 2002. Analysis of multiyear global vegetation index data set. Journal of Geophysical Research, 107(D22): 4646
5. Cohen, W.B. 2003. Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America. A quality assessment of 2000/2001 provisional MODIS products. Remote Sensing of Environment, 88: 233-255.
6. D'Arrigo, R.D. 2000. Correlation between maximum latewood density of annual tree rings and NDVI based estimates of forest productivity. International Journal of Remote Sensing, 21(11): 2329-2336.
7. Davenport, M.L. and Nicholson, S.E. 1993. On the relation between rainfall and the normalized difference vegetation index for diverse vegetation types in east Africa. International Journal of Remote Sensing, 14(12): 2369-2389.
8. El Saleous, N.Z. 2000. Improvements in the global biospheric record from the Advanced Very High Resolution Radiometer (AVHRR). International Journal of Remote Sensing, 21: 1251-1277.
9. Fang, H. 2005. Biophysical characteristics and management effects on semiarid rangeland observed from Landsat ETM+ data. IEEE Transactions on Geoscience and Remote Sensing, 43(1): 125-134.
10. Fensholt, R. 2004. Earth observation of vegetation status in the Sahelian and Sudanian West Africa. Comparison of Terra MODIS and NOAA AVHRR satellite data. Remote Sensing of Environment, 25(9): 1641-1659.
11. Fensholt, R., Sandholt, I. and Rasmussen, M.S. 2004. Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements. Remote Sensing of Environment, 91: 490-507.
12. Gao, B.C. 2000. A practical method for simulating AVHRR-consistent NDVI data series using narrow MODIS channels in the 0.5-1.0 mu m spectral range. IEEE Transactions on Geoscience and Remote Sensing, 38(4): 1969-1975.
13. Gobron, N. 1999. The MERIS global vegetation index (MGVI). Description and preliminary application. International Journal of Remote Sensing, 20(9): 1917-1927.
14. Gobron, N., et al., 2006. Evaluation of fraction of absorbed photosynthetically active radiation products for different canopy radiation transfer regimes. Methodology and results using joint research center products derived from SeaWiFS against ground-based estimations. Journal Geophysical Research, 111 D13110, 1-15.
15. Hanan, N.P., Prince, S.D. and Bégué, A. 1995. Estimation of absorbed photosynthetically active radiation and vegetation net production efficiency using satellite data. Agricultural and Forest Meteorology, 76: 259-276.
16. Hatfield, J.L., Asrar, G. and Kanemasu, E.T. 1984. Intercepted photosynthetically active radiation estimated by spectral reflectance. Remote Sensing of Environment, 14: 65-75.
17. Huemmrich, K.F. 2005. Time series validation of MODIS land biophysical products in a Kalahari Woodland, Africa. International Journal of Remote Sensing, 26(19): 4381-4398.
18. Huete, A.R. 1988. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25: 295-309.
19. Le Roux, X. 1997. Radiation absorption and use by humid savannah grassland. Assessment using remote sensing and modelling. Agricultural and Forest Meteorology, 85: 117-132.
20. Liu, Z.Y. 2006. Assessing global vegetation-climate feedbacks from observations. Journal of Climate, 19: 787-814.
21. Llewellyn, L.M., 2004. Environmental factors that affect range plant growth, 1892-2003. [online]. Dickinson Research Extension Center. Available from: http://www.ag.ndsu.nodak.edu/dickinso/research/2003/range03e.htm [Accessed 6 August 2010].
22. Malmstrom, C.M. 1997. Interannual variation in global-scale net primary production. Testing model estimates. Global Biogeochemical Cycles, 11(3): 367-392.
23. McCallum, I. 2010. Comparison of four global FAPAR datasets over northern Eurasia for the year 2000. Remote Sensing of Environment, 114: 941-949.
24. Monteith, J.L. 1972. Solar radiation and productivity in tropical ecosystems. Journal of Applied Ecology, 9: 747-766.
25. Myneni, R.B. 1995. The interpretation of spectral vegetation indexes. IEEE Transactions on Geoscience and Remote Sensing, 33(2): 481-486.
26. Myneni, R.B. 2002. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment, 83: 214-231.
27. Myneni, R.B., Nemani, R.R. and Running, S.W. 1997. Estimation of global leaf area index and absorbed par using radiative transfer models. IEEE Transactions on Geoscience and Remote Sensing, 35: 1380-1393.
28. Nagol, J.R., Vermote, E.F. and Prince, S.D. 2009. Effects of atmospheric variation on AVHRR NDVI data. Remote Sensing of Environment, 113: 392-397.
29. Nemani, R.R. 2003. Climate driven increases in global terrestrial net primary production from 1982 to 1999. Science, 300: 1560-1563.
30. Notaro, M., Liu, Z. and Williams, J.W. 2006. Observed vegetation-climate feedbacks in the United States. Journal of Climate, 19: 763-786.
31. Peng, D.L. 2008. Assessing the response of seasonal variation of net primary productivity to climate using remote sensing data and geographic information system techniques in Xinjiang. Journal of Integrative Plant Biology, 50(12): 1580-1588.
32. Peng, D.L. 2010. Spatial and seasonal characterization of net primary productivity and climate variables in southeastern China using MODIS data. Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology), 11(4): 275-285.
33. Peng, D.L. 2011. Detection and estimation of mixed paddy rice cropping patterns with MODIS data. International Journal of Applied Earth Observation and Geoinformation, 13: 13-23.
34. Peterson, T.C. 1998. Global historical climatology network (CHCN) quality control of monthly temperature data. International Journal of Climatology, 18: 1169-1179.
35. Peterson, T.C. and Vose, R.S. 1997. An overview of the global historical climatology network temperature database. Bulletin of the American Meteorological Society, 78(12): 2837-2849.
36. Potter, C.S., Klooster, S.A. and Brooks, V. 1999. Interannual variability in terrestrial net primary production. Exploration of trends and controls on regional to global scales. Ecosystems, 2: 36-48.
37. Ruimy, A., Saugier, B. and Dedieu, G. 1994. Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research, 99(D3): 5263-5283.
38. Sellers, P.J. 1992. Canopy reflectance, photosynthesis, and transpiration. III. A reanalysis using improved leaf models and a new canopy integration scheme. Remote Sensing of Environment, 42(3): 187-216.
39. Sellers, P.J. 1996. A revised land surface parameterization (SiB2) for atmospheric GCMs. Part II. The generation of global fields of terrestrial biophysical parameters from satellite data. Journal of Climate, 9: 706-737.
40. Tucker, C.J. 2005. An extended AVHRR 8-km NDVI data set compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing, 26(20): 4485-4498.
41. Wang, Y. 2004. Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland. Remote Sensing of Environment, 91: 114-127.
42. Wang, J., Rich, P.M. and Price, K.P. 2003. Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. International Journal of Remote Sensing, 24(11): 2345-2364.