Spatial non-stationarity and scale-dependency of prediction accuracy in the remote estimation of LAI over a tropical rainforest in Sulawesi, Indonesia

Remote Sensing of Environment

Volumn 113, Issue 10, 2009, Pages 2234-2242

  Propastin, Pavel A ^a  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

Geographically weighted regression; Leaf area index; Spatial non stationarity; Spatial scale

Indexed keywords

ACCURACY AND PRECISION; DATA ANALYSIS; DATA POINTS; DEPENDENT VARIABLES; EQUATORIAL RAINFORESTS; EXPLANATORY VARIABLES; GEOGRAPHICALLY WEIGHTED REGRESSION; GROUND MEASUREMENTS; INDONESIA; LEAF AREA INDEX; LOCAL PATTERNS; MIDINFRARED; MULTI-SPECTRAL; NORMALIZED DIFFERENCE VEGETATION INDEX; ORDINARY LEAST SQUARES; PARAMETER ESTIMATE; PREDICTION ACCURACY; REDUCED SIMPLE RATIO; REMOTE ESTIMATION; REMOTE SENSING DATA; SCALE-DEPENDENCY; SPATIAL DISTRIBUTION; SPATIAL NON-STATIONARITY; SPATIAL SCALE; TROPICAL RAIN FOREST; VEGETATION INDEX;

ESTIMATION; FORESTRY; PASSENGER CARS; REGRESSION ANALYSIS; REMOTE SENSING; SENSITIVITY ANALYSIS; SIZE DISTRIBUTION;

VEGETATION;

ACCURACY ASSESSMENT; ESTIMATION METHOD; LEAF AREA INDEX; MEASUREMENT METHOD; NDVI; PREDICTION; RAINFOREST; SPATIAL VARIATION; TROPICAL ENVIRONMENT;

ASIA; EURASIA; GREATER SUNDA ISLANDS; MALAY ARCHIPELAGO; SOUTHEAST ASIA; SULAWESI; SUNDA ISLES;

EID: 67849090360     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2009.06.007     Document Type: Article

References (51)

1. Barterretche M., Hudak A.T., Cohen W.B., Maierspenger T.K., Gower S.T., and Dungan J. Comparison of regression and geostatistical methods for mapping Leaf Area Index with Landsat ETM+ data over a boreal forest. Remote Sensing of Environment 96 (2005) 49-61
2. Brown L.J., Chen J.M., Leblanc S.G., and Cihlar J. Shortwave infrared correction to the simple ratio: an image and model analysis. Remote Sensing of Environment 77 (2000) 16-25
3. Brunsdon C.F., Fotheringham A.S., and Charlton M.E. Geographically weighted regression: A method for exploring spatial non-stationarity. Geographical Analysis 28 (1996) 281-298
4. Brunsdon C.F., Fotheringham A.S., and Charlton M. Some notes on parametric significance tests for geographically weighted regression. Journal of Regional Science 39 3 (1999) 497-524
5. Brunsdon C., McClatchey J., and Unwin D.J. Spatial variations in the average rainfall-altitude relationship in Great Britain: An approach using geographically weighted regression. International Journal of Climatology 21 (2001) 455-466
6. Chen M., Pavlic G., Brown L., Cuhlar J., Leblanc S.G., and White H.P. Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements. Remote Sensing of Environment 80 (2002) 165-184
7. Clifford P., Richardson S., and Hemon D. Assessing the significance of the correlation between two spatial processes. Biometrics 45 (1989) 123-134
8. Colombo R., Bellingeri D., Fasolini D., and Marino C.M. Retrieval of leaf area index in different vegetation types using high resolution satellite data. Remote Sensing of Environment 86 (2003) 120-131
9. Danson F.M., Rowland C.S., and Baret F. Training a neural network with a canopy reflectance model to estimate crop leaf area index. International Journal of Remote Sensing 24 (2003) 4891-4905
10. Eklundh L., Harrie L., and Kuusk A. Investigating relationships between Landsat ETM+ sensor data and LAI in a boreal conifer forest. Remote Sensing of Environment 78 (2001) 239-251
11. Fensholt R., Sandholt I., and Rasmussen M.S. Validation 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 (2004) 490-507
12. Fensholt R., Sandholt I., Rasmussen M.S., Stisen S., and Diouf A. Evaluation of satellite based primary production modelling in the semi-arid Sahel. Remote Sensing Environment 105 (2007) 173-188
13. Fernandes R., and Leblanc S.G. Parametric (modified least squares) and non-parametric (Theil-Sen) linear regressions for predicting biophysical parameters in the presence of measurements errors. Remote Sensing of Environment 95 (2005) 303-316
14. Foody G.M. Geographical weighting as a further refinement to regression modelling: an example focused on the NDVI-rainfall relationship. Remote Sensing of Environment 88 (2003) 283-293
15. Foody G.M. Spatial nonstationary and scale-dependancy in the relationship between species richness and environmental determinants for the sub-Saharan endemic avifauna. Global Ecology & Biogeography 13 (2004) 315-320
16. Fotheringham A.S., Charlton M.E., and Brundson C. The geography of parameter space and investigation into spatial non-stationarity. International Journal of GIS 10 (1996) 605-627
17. Fotheringham A.S., Brunsdon C., and Charlton M. Geographically weighted regression: The analysis of spatially varying relationships (2002), Chichester, Willey
18. Griffith D.A. Spatial autocorrelation and spatial filtering (2003), Springer-Verlag, Berlin
19. Huete A.R., and Tucker C.J. Investigation of soil influences in AVHRR red and near-infrared vegetation index imagery. International Journal of Remote Sensing 12 (1991) 1223-1242
20. Hurvich, C. M., Simonoff, J. S. & Tsai, C. -L. (1998). Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion. Journal of Royal Statistical Society Series B, 60, 271-293.
21. Kotchenova S.Y., Xiangdong S., Shabanov N.V., Potter C.S., Knyazikhin Y., and Muneni R.B. Lidar remote sensing for modelling gross primary production of deciduous forests. Remote Sensing of Environment 92 (2004) 158-172
22. Lloyd C.D. Local models for spatial analysis (2007), Taylor & Francis, Boca Raton
23. Mallows C.L. Some comments on Cp. Technometrics 15 (1973) 661-667
24. McAllister D.M., and Valeo C. A robust method for the remote estimation of LAI in montane and boreal forests. International Journal of Remote Sensing 28 (2007) 1891-1905
25. McMillen D.P. One hundred fifty years of land values in Chicago: A non-parametric approach. Journal of Urban Economics 40 (1996) 100-124
26. Minnaert M. The reciprocity principle in lunar photometry. Astrophysical Journal 93 (1941) 403-410
27. Paez A., Uchida T., and Miyanmoto K. A general framework for estimation and inference of geographically weighted regression models: 1. Local-specific kernel bandwidths and a test for local heterogeneity. Environment and Planning A 34 (2002) 733-754
28. Paez A., Uchida T., and Miyanmoto K. A general framework for estimation and inference of geographically weighted regression models: 2. Spatial association and model specification tests. Environment and Planning A 34 (2002) 883-904
29. Pavlov A.D. Space-varying regression coefficients: a semi-parametric approach applied to real estate markets. Real Estate Economics 28 (2000) 249-283
30. Propastin P., and Kappas M. Reducing uncertainty in modelling NDVI-precipitation relationship: a comparative study using global and local regression techniques. GIScience and Remote Sensing 45 (2008) 1-25
31. Propastin P., Kappas M., and Erasmi S. Application of geographically weighted regression to investigate the impact of scale on prediction uncertainty by modelling relationships between vegetation and climate. International Journal of Spatial Data Infrastructure 3 (2008) 73-94
32. Qi J., Chaehbouni A., Huete A.R., Kerr Y.H., and Soroshian S. A modified soil adjusted vegetation index. Remote Sensing of Environment 48 (1994) 119-126
33. Riano D., Chuvieco E., Salas F.J., and Agendo I. Assessment of different topographic corrections in Landsat TM data for mapping vegetation types. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 1056-1061
34. Richter R. Correction of atmospheric and topographic effects for high spatial resolution satellite imagery. International journal of Remote Sensing 18 (1997) 1099-1111
35. Scurlock, J. M. O., Asner, G. P. & Gower, S. T. 2001. Worldwide historical estimates of leaf area index, 1932-2000. Technical report ORNL/TM-2001/268. Oak Ridge National Laboratory, Tennessee, US. Available at: http://www.osti.gov/bridge
36. Seaquist J.W., Olsson L., and Ardo J. A remote sensing-based primary production model for grassland biomes. Ecological Modelling 169 (2003) 131-155
37. Seed E.D., and King D.J. Shadow brightness and shadow fraction relations with effective leaf area index: importance of canopy closure and view angle in mixed wood boreal forest. Canadian Journal of Remote Sensing 29 (2003) 324-335
38. Smith J.A., Lin T.L., and Ranson K.J. The lambertian assumption and Landsat data. Photogrammetric Engineering and Remote Sensing 46 (1980) 1183-1189
39. Teillet P.M., Guindon B., and Goodenough D.G. On the slope-aspect correction of multispectral scanner data. Canadian Journal of Remote Sensing 8 (1982) 84-106
40. Tiefelsdorf M. Modelling spatial processes: the identification and analysis of spatial relationships in regression residuals by means of Moran's I (2000), Springer-Verlag, Berlin
41. Tucker C.J., and Sellers P.J. Satellite remote sensing of primary vegetation. International Journal of Remote Sensing 7 (1986) 1395-1416
42. Tucker C.J., Vanpra C.L., Sharman M.J., and Van Ittersum G. Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 1980-1984. Remote Sensing of Environment 17 (1985) 233-249
43. Turner D.P., Cohen W.B., Kennedy R.E., Fassnacht K.S., and Briggs M. Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites. Remote Sensing of Environment 70 (1999) 52-68
44. Twele A., and Erasmi S. Optimierung der topographischen Normalisierung optischer Satellitendaten durch Einbeziehung von Kohärenzinformation. Photogrammetrie, Fernerkundung & Geoinformation 3 (2005) 227-234
45. Twele A., and Erasmi S. Evaluating topographic correction algorithms for improved land cover discrimination in mountainous areas of Central Sulawesi. In: Erasmi S., Cyffka B., and Kappas M. (Eds). Remote sensing & GIS for environmental studies: Applications in geography (2005), Verlag Erich Goltze GmbH and Co. KG, Göttingen 287-295
46. Twele A., Erasmi S., and Kappas M. Spatially explicit estimation of leaf area index using EO-1 Hyperion and Landsat ETM+ data: Implications of spectral bandwidth and shortwave infrared data on prediction accuracy in a tropical montane environment. GIScience & Remote Sensing 45 (2008) 229-248
47. Wang Q., Adiku S., Tenhunen J., and Granier A. On the relationship of NDVI with leaf area index in a deciduous forest site. Remote Sensing of Environment 94 (2005) 244-255
48. Wang Q., Ni J., and Tenhunen J. Application of a geographically weighted regression analysis to estimate net primary production of Chinese forest ecosystem. Global Ecology & Biogeography 14 (2005) 379-393
49. Whitten T., Henderson G.S., and Mustafa M. The ecology of Sulawesi. The Ecology of Indonesia Series vol. 4 (2002) Jakarta
50. Wulder M.A., LeDrew E.F., Franklin S.E., and Lavigne M.B. Aerial image texture information in the estimation of northern deciduous and mixed forest leaf area index (LAI). Remote Sensing of Environment 64 (1998) 64-76
51. Yao Y., Liu Q., Liu Q., and Li X. LAI retrieval and uncertainty evaluations for typical row-planted crops at different growth stages. Remote Sensing of Environment 112 (2008) 94-106