Scaling effect of area-averaged NDVI: Monotonicity along the spatial resolution

Remote Sensing

Volumn 4, Issue 1, 2012, Pages 160-179

  Obata, Kenta ^a   Wada, Takahiro ^a,b   Miura, Tomoaki ^c   Yoshioka, Hiroki ^a  

^a AICHI PREFECTURAL UNIVERSITY   (Japan)

^b CORE Corporation ^*  (Japan)

^c UNIVERSITY OF HAWAII   (United States)

Author keywords

Linear mixture model; Monotonicity; NDVI; Resolution transform model; Scaling effect

Indexed keywords

ERROR BOUND; LAND SURFACE; LINEAR MIXTURE MODELS; LONG TERM MONITORING; MONOTONICITY; NDVI; NORMALIZED DIFFERENCE VEGETATION INDEX; REFLECTANCE SPECTRUM; SATELLITE INSTRUMENTATION; SATELLITE REMOTE SENSING; SATELLITE SENSORS; SCALING EFFECT; SCALING EFFECTS; SPATIAL RESOLUTION; SYSTEMATIC BIAS; TEMPORAL RESOLUTION; THEORETICAL BASIS; TRANSFORM MODELS; VEGETATION DYNAMICS;

ERROR ANALYSIS; REMOTE SENSING; SATELLITES; VEGETATION;

IMAGE RESOLUTION;

EID: 84857934638     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs4010160     Document Type: Article

References (63)

1. Myneni, R.B.; Keeling, C.D.; Tucker, C.J.; Asrar, G.; Nemani, R.R. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 1997, 386, 698-702
2. Los, S.O.; Pollack, N.H.; Parris, M.T.; Collatz, G.J.; Tucker, C.J.; Sellers, P.J.; Malmstrom, C.M.; DeFries, R.S.; Bounoua, L.; Dazlich, D.A. A global 9-yr biophysical land surface dataset from NOAA AVHRR data. J. Hydrometeorol. 2000, 1, 183-199.
3. Sellers, P.J.; Los, S.O.; Tucker, C.J.; Justice, C.O.; Dazlich, D.A.; Collatz, G.J.; Randall, D.A. A revised land surface parameterization (SiB2) for atmospheric GCMS. Part I: Model formulation. J. Climate 1996, 9, 676-705.
4. Sellers, P.J.; Randall, D.A.; Collatz, G.J.; Berry, J.A.; Field, C.B.; Dazlich, D.A.; Zhang, C.; Collelo, G.D.; Bounoua, L. A revised land surface parameterization(SiB2) for atmospheric GCMs. Part II: the generation of global fields of terrestrial biophysical parameters from satellite data. J. Climate 1996, 9, 706-737.
5. Jarlan, L.; Mangiarotti, S.; Mougin, E.; Mazzega, P.; Hiernaux, P.; Dantec, V.L. Assimilation of SPOT/VEGETATION NDVI data into a sahelian vegetation dynamics model. Remote Sens. Environ. 2008, 112, 1381-1394.
6. Goetz, S.J. Multi-sensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site. Int. J. Remote Sens. 1997, 18, 71-94.
7. Pottier, C.; Garcon, V.; Larnicol, G.; Sudre, G.; Schaeffer, P.; Traon, P.Y.L. Merging SeaWIFS nd MODIS/Aqua ocean color data in North and Equatorial Atlantic using weighted averaging and objective analysis. IEEE Trans. Geosci. Remote Sens. 2006, 44, 3436-3451.
8. Tucker, C.J.; Pinzon, J.E.; Brown, M.E.; Slayback, D.A.; Pak, E.W.; Mahoney, R.; Vermote, E.F.; Saleous, N.E. An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. Int. J. Remote Sens. 2005, 26, 4485-4498.
9. Pohl, C.; Van Genderen, J.L. Multisensor image fusion in remote sensing: Concepts, methods and applications. Int. J. Remote Sens. 1998, 19, 823-854.
10. Price, J.C. Combining multispectral data of differing spatial resolution. IEEE Trans. Geosci. Remote Sens. 1999, 37, 1199-1203.
11. Brown, M.; Pinzon, J.; Didan, K.; Morisette, J.; Tucker, C. Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors. IEEE Trans. Geosci. Remote Sens. 2006, 44, 1787-1793.
12. Wulder, M.A.; Butson, C.R.; White, J.C. Cross-sensor change detection over a forested landscape: Options to enable continuity of medium spatial resolution measures. Remote Sens. Environ. 2008, 112, 796-809.
13. Pouliot, D.; Latifovic, R.; Fernandes, R.; Olthof, I. Evaluation of compositing period and AVHRR and MERIS combination for improvement of spring phenology detection in deciduous forests. Remote Sens. Environ. 2011, 115, 158-166.
14. Arai, E.; Shimabukuro, Y.E.; Pereira, G.; Vijaykumar, N.L. A multi-resolution multi-temporal technique for detecting and mapping deforestation in the Brazilian Amazon rainforest. Remote Sens. 2011, 3, 1943-1956.
15. Stellmes, M.; Udelhoven, T.; Roder, A.; Sonnenschein, R.; Hill, J. Dryland observation at local and regional scale-Comparison of Landsat TM/ETM+ and NOAA AVHRR time series. Remote Sens. Environ. 2010, 114, 2111-2125.
16. Townshend, J.R.G.; Justice, C.O. Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations. Int. J. Remote Sens. 1988, 9, 187-236.
17. van Leeuwen, W.J.; Orr, B.J.; Marsh, S.E.; Herrmann, S.M. Multi-sensor NDVI data continuity: Uncertainties and implications for vegetation monitoring applications. Remote Sens. Environ. 2006, 100, 67-81.
18. Ganguly, S.; Schull, M.A.; Samanta, A.; Shabanov, N.V.; Milesi, C.; Nemani, R.R.; Knyazikhin, Y.; Myneni, R.B. Generating vegetation leaf area index earth system data record from multiple sensors. Part 1: Theory. Remote Sens. Environ. 2008, 112, 4333-4343.
19. Zhao, T.; Bergen, K.M.; Brown, D.G.; Shugart, H.H. Scale dependence in quantification of land-cover and biomass change over Siberian boreal forest landscapes. Landscape Ecol. 2009,24, 1299-1313.
20. Miura, T.; Huete, A.; Yoshioka, H. An empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data. Remote Sens. Environ. 2006, 100, 223-236.
21. Bounoua, L.; Collatz, G.J.; Los, S.O.; Sellers, P.J.; Dazlich, D.A.; Tucker, C.J.; Randall, D.A. Sensitivity of climate to changes in NDVI. J. Climate 2000, 13, 2277-2292.
22. McConnell, M.; Weidman, S. Uncertainty Management in Remote Sensing of Climate Data: Summary of a Workshop; The National Academies Press: Washington, DC, USA, 2009.
23. Overpeck, J.T.; Meehl, G.A.; Bony, S.; Easterling, D.R. Climate data challenges in the 21st Century. Science 2011, 331, 700-702.
24. Hu, Z.; Islam, S. A frame work for analyzing and designing scale invariant remote sensing algorithms. IEEE Trans. Geosci. Remote Sens. 1997, 35, 747-755.
25. Jiang, Z.; Huete, A.R.; Chen, J.; Chen, Y.; Yan, G.; Zhang, X. Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction. Remote Sens. Environ. 2006, 101, 366-378.
26. Wu, H.; Li, Z.L. Scale issues in remote sensing: A review on analysis, processing and modeling. Sensors 2009, 9, 1768-1793.
27. Chen, J.M. Spatial scaling of a remotely sensed surface parameter by contexture. Remote Sens. Environ. 1999, 69, 30-42.
28. Settle, J. On the use of remotely sensed data to extimate spatially averaged geophysical variables. IEEE Trans. Geosci. Remote Sens. 2004, 42, 620-631.
29. Settle, J.J. On the residual term in the linear mixture model and its dependence on the point spread function. IEEE Trans. Geosci. Remote Sens. 2005, 43, 398-401.
30. Hall, F.G.; Huemmrich, K.F.; Goetz, S.J.; Sellers, P.J.; Nickeson, J.E. Satellite remote sensing of surface energy balance: Success, failures, and unresolved issues in FIFE. J. Geophys. Res. 1992, 97, 19061-19089.
31. Friedl, M.A.; Davis, F.W.; Michaelsen, J.; Moritz, M.A. Scaling and uncertainty in the relationship between the NDVI and land surface biophysical variables: An analysis using a scene simulation model and data from FIFE. Remote Sens. Environ. 1995, 54, 233-246.
32. Sprintsin, M.; Karnieli, A.; Berliner, P.; Rotenberg, E.; Yakir, D.; Cohen, S. The effect of spatial resolution on the accuracy of leaf area index estimation for a forest planted in the desert transition zone. Remote Sens. Environ. 2007, 109, 416-428.
33. Zhang, X.; Yan, G.; Li, Q.; Li, Z.L.; Wan, H.; Guo, Z. Evaluating the fraction of vegetation cover based on NDVI spatial scale correction model. Int. J. Remote Sens. 2006, 27, 5359-5372.
34. Garrigues, S.; Allard, D.; Baret, F.; Weiss, M. Quantifying spatial heterogeneity at the landscape scale using variogram models. Remote Sens. Environ. 2006, 103, 81-96.
35. Ma, L.; Li, C.; Tang, B.; Tang, L.; Bi, Y.; Zhou, B.; Li, Z.L. Impact of spatial LAI heterogeneity on estimate of directional gap fraction from SPOT-satellite data. Sensors 2008, 8, 3767-3779.
36. Zheng, G.; Moskal, L.M. Retrieving Leaf Area Index(LAI) using remote sensing: Theories, method and sensors. Sensors 2009, 9, 2719-2745.
37. Tao, X.; Yan, B.; Wang, K.; Wu, D.; Fan, W.; Xu, X.; Liang, S. Scale transformation of Leaf Area Index product retrieved from multiresolution remotely sensed data: Analysis and case studies. Int. J. Remote Sens. 2009, 30, 5383-5395.
38. Aman, A.; Randriamanantena, H.P.; Podaire, A.; Frouin, R. Upscale integration of normalized difference vegetation index: the problem of spatial heterogeneity. IEEE Trans. Geosci. Remote Sens. 1992, 30, 326-338.
39. Huete, A.; Kim, H.J.; Miura, T. Scaling Dependencies and Uncertainties in Vegetation Index-Biophysical Retrievals in Heterogeneous Environments. In Proceedings of 2005 IEEE International Geoscience and Remote Sensing Symposium, Seoul, Korea, 25-29 July 2005; Volume 7, pp. 5029-5032.
40. Thenkabail, P.S. Inter-sensor relationships between IKONOS and Landsat-7 ETM+ NDVI data in three ecoregions of Africa. Int. J. Remote Sens. 2004, 20, 389-408.
41. Maselli, F.; Gilabert, M.A.; Conse, C. Integration of high and low resolution NDVI data for monitoring vegetation in Mediterranean environments. Remote Sens. Environ. 1998, 63, 208-218.
42. Wood, E.F.; Lakshmi, V. Scaling water and energy fluxes in climate systems: Three land-atmospheric modeling experiments. J. Climate 1993, 6, 839-857.
43. Price, J.C. Using spatial context in satellite data to infer regional scale evapotranspiration. IEEE Trans. Geosci. Remote Sens. 1990, 28, 940-948.
44. Cola, L.D. Multiresolution covariation among Landsat and AVHRR vegetation indices. In Scale in Remote Sensing and GIS; Quattrochi, D.A., Goodchild, M.F., Eds.; Lewis: Boca Raton, FL, USA, 1997; pp. 73-91.
45. Liang, S. Numerical experiments on the spatial scaling of land surface albedo and leaf area index. Int. J. Remote Sens. 2000, 19, 225-242.
46. Garrigues, S.; Allard, D.; Baret, F.; Weiss, M. Influence of landscape spatial heterogeneity on the non-linear estimation of leaf area index from moderate spatial resolution remote sensing data. Remote Sens. Environ. 2006, 105, 286-298.
47. Hu, Z.; Islam, S. Effects of subgrid-scale heterogeneity of soil wetness and temperature on grid-scale evaporation and its parameterization. Int. J. Climatol. 1998, 18, 49-63.
48. Bonan, G.B.; Pollard, D.; Thompson, S.L. Influence of subgrid-scale heterogeneity in leaf area index, stomatal resistance, and soil moisture on grid-scale land-atmosphere interactions. J. Climate 1993, 6, 1883-1897.
49. Pielke, R.A.; Dalu, G.A.; Snook, J.S.; Lee, T.J.; Kittel, T.G. Nonlinear influence of mesoscale land use on weather and climate. J. Climate 1991, 4, 1053-1069.
50. Marht, L.; Sun, J. Dependence of surface exchange coefficients on averaging scale and grid size. Q. J. Roy. Meteorol. Soc. 1995, 121, 1835-1852.
51. Maayar, M.E.; Chen, J.M. Spatial scaling of evapotranspiration as affected by heterogeneities in vegetation, topography, and soil texture. Remote Sens. Environ. 2006, 102, 33-51.
52. Chen, B.; Chen, J.M.; Mo, G.; Yuen, C.W.; Margolis, H.; Higuchi, K.; Chan, D. Modeling and scaling coupled energy, water, and carbon fluxes based on remote sensing: An application to Canada's landmass. J. Hydrometeorol. 2007, 8, 123-143.
53. Simic, A.; Chen, J.M.; Liu, J.; Csillag, F. Spatial scaling of net primary productivity using subpixel information. Remote Sens. Environ. 2004, 93, 246-258.
54. Zheng, D.; Heath, L.S.; Ducey, M.J.; Smith, J.E. Quantifying scaling effects on satellite-derived forest area estimates for the conterminous USA. Int. J. Remote Sens. 2009, 30, 3097-3114.
55. Propastin, P.A. Spatial non-stationarity and scale-dependency of prediction accuracy in the remote estimation of LAI over a tropical rainforest in Sulawesi, Indonesia. Remote Sens. Environ. 2009, 113, 2234-2242.
56. Raffy, M. Change of scale in models of remote sensing: A general method for spatialization of models. Remote Sens. Environ. 1992, 40, 101-112.
57. Raffy, M. Heterogeneity and change of scale in models of remote sensing. Int. J. Remote Sens. 1994, 15, 2359-2380.
58. Yoshioka, H.; Wada, T.; Obata, K.; Miura, T. Monotonicity of Area Averaged NDVI as a Function of Spatial Resolution Based on a Variable Endmember Linear Mixture Model. In Proceedings of 2008 IEEE International Geoscience & Remote Sensing Symposium, Boston, MA, USA, 6-11 July 2008; Volume III, pp. 415-418.
59. Horwitz, H.M.; Nalepka, R.F.; Hyde, P.D.; Morgenstern, J.P. Estimating the Proportions of Objects within a Single Resolution Element of a Multispectral Scanner. In Proceedings of 7th International Symposium on Remote Sensing of Environment, Ann Arbor, MI, USA, 17-21 may 1971; pp. 1307-1320.
60. Smith, M.O.; Johnson, P.E.; Adams, J.B. Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysis. J. Geophys. Res. 1985, 90, Suppl. C797-C804.
61. Adams, J.B.; Smith, M.O.; Johnson, P.E. Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 Site. J. Geophys. Res. 1986, 91, 8098-8112.
62. Smith, M.O.; Ustin, S.L.; Adams, J.B.; Gillespie, A.R. Vegetation in deserts: I. A regional measure of abundance from multispectral images. Remote Sens. Environ. 1990, 31, 1-26.
63. Settle, J.J.; Drake, N.A. Linear mixing and the estimation of ground cover proportions. Int. J. Remote Sens. 1993, 14, 1159-1177.