Optimizing spatial image support for quantitative mapping of natural vegetation

Remote Sensing of Environment

Volumn 113, Issue 4, 2009, Pages 771-780

  Nijland, W ^a   Addink, E A ^a   De Jong, S M ^a   Van der Meer, F D ^a,b  

^a UTRECHT UNIVERSITY   (Netherlands)

^b UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Hyperspectral; MAUP; Mediterranean vegetation; Pixel size; Scene model; Support

Indexed keywords

BIOLOGICAL MATERIALS; BIOMASS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE RESOLUTION; OPTIMIZATION; VEGETATION;

HYPERSPECTRAL; MAUP; MEDITERRANEAN VEGETATION; PIXEL SIZE; SCENE MODEL;

PIXELS;

ABOVEGROUND BIOMASS; IMAGE ANALYSIS; LEAF AREA INDEX; MAPPING METHOD; MEDITERRANEAN ENVIRONMENT; OPTIMIZATION; PIXEL; REMOTE SENSING; SPATIAL ANALYSIS; SPATIAL RESOLUTION; SPATIAL VARIATION; VEGETATION;

EID: 60749135993     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2008.12.002     Document Type: Article

References (53)

1. Addink E.A., De Jong S.M., and Pebesma E.J. The importance of scale in object-based mapping of vegetation parameters with hyperspectral imagery. Photogrammetric Engineering & Remote Sensing 73 (2007) 905-912
2. ASTER. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) (2005). http://asterweb.jpl.nasa.gov http://asterweb.jpl.nasa.gov
3. Atkinson P.M., and Aplin P. Spatial variation in land cover and choice of spatial resolution for remote sensing. International Journal of Remote Sensing 25 (2004) 3687-3702
4. Atkinson P.M., and Curran P.J. Choosing an appropriate spatial resolution for remote sensing investigations. Photogrammetric Engineering & Remote Sensing 63 (1997) 1345-1351
5. Atkinson P.M., and Tate N.J. Spatial scale problems and geostatistical solutions: A review. Professional Geographer 52 (2000) 607-623
6. Atzberger C. Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models. Remote Sensing of Environment 93 (2004) 53-67
7. Barnsley M.J., and Barr S.L. Inferring urban land use from satellite sensor images using kernel-based spatial reclassification. Photogrammetric Engineering & Remote Sensing 62 (1996) 949-958
8. Bøcher P.K., and McCloy K.R. The fundamentals of average local variance - Part I: detecting regular patterns. IEEE Transactions on Image Processing 15 (2006) 300-310
9. Bøcher P.K., and McCloy K.R. The fundamentals of average local variance - Part II: sampling simple regular patterns with optical imagery. IEEE Transactions on Image Processing 15 (2006) 311-318
10. Brolsma R.J., and Bierkens M.F.P. Groundwater -soil water- vegetation dynamics in a temperate forest ecosystem along a slope. Water Resources Research 43 (2007) W01414
11. Cohen W.B., and Goward S.N. Landsat's role in ecological applications of remote sensing. BioScience 54 (2004) 535-545
12. Cohen W.B., Spies T.A., and Bradshaw G.B. Semivariograms of digital imagery for analysis of conifer canopy structure. Remote Sensing of Environment 34 (1990) 167-178
13. Combal B., Baret F., Weiss M., Trubuil A., Mace D., Pragnere A., Myneni R., Knyazikhin Y., and Wang L. Retrieval of canopy biophysical variables from bidirectional reflectance-using prior information to solve the ill-posed inverse problem. Remote Sensing of Environment 84 (2003) 1-15
14. Curran P.J. The semivariogram in remote sensing: An introduction. Remote Sensing of Environment 24 (1988) 493-507
15. Debussche M., Escarré J., Lepart J., Houssard C., and Lavorel S. Changes in Mediterranean plant succession: Old-fields revisited. Journal of Vegetation Science 7 (1996) 519-526
16. De Jong S.M., and Jetten V.G. Estimating spatial patterns of rainfall interception from remotely sensed vegetation indices and spectral mixture analysis. International Journal of Geographical Information Science 21 (2007) 529-545
17. De Jong S.M., Pebesma E.J., and Lacaze B. Above-ground biomass assessment of Mediterranean forests using airborne imaging spectrometry: de DAIS Peyne experiment. International Journal of Remote Sensing 24 (2003) 1505-1520
18. Fischer P. The pixel: A snare and a delusion. International Journal of Remote Sensing 18 (1997) 679-685
19. Gamon J.A., Field B.C., Roberts D.A., Ustin S.L., and Valentini R. Functional patterns in an annual grassland during an AVIRIS overflight. Remote Sensing of Environment 44 (1993) 239-253
20. Hastie T., Tibshirani R., and Friedman J. The elements of statistical learning: Data mining, inference, and prediction (2001), Springer-Verlag, New York
21. He Y., Guo X., Wilmshurst J., and Si B.C. Studying mixed grassland ecosystems II: Optimum pixel size. Canadian Journal of Remote Sensing 32 (2006) 108-115
22. HyVista. HyVista Corporation website (2003). http://www.hyvista.com http://www.hyvista.com
23. Ibàñez J.J., Lledó M.J., Sánchez J.R., and Rodà F. Stand structure, aboveground biomass and production. In: Rodà F., Retana J., Gracia C.A., and Llebot J. (Eds). Ecology of Mediterranean Evergreen Oak Forests (1999), Springer, Berlin 31-45
24. Isaaks E.H., and Srivastava R.M. An introduction to applied geostatistics (1989), Oxford University Press, New York
25. Jonckheere I., Fleck S., Nackaerts K., Muysa B., Coppin P., Weiss M., and Baret F. Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography. Agricultural and Forest Meteorology 121 (2004) 19-35
26. Ju J., Gopal S., and Kolaczyk E.D. On the choice of spatial and categorical scale in remote sensing land cover classification. Remote Sensing of Environment 96 (2005) 62-77
27. Lillesand T.M., and Kiefer R.W. Remote sensing and image interpretation (2004), John Wiley & Sons, New York
28. Lu D. The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing 27 (2006) 1297-1328
29. Marceau D.J., Gratton D.J., Fournier R.A., and Fortin J.P. Remote sensing and the measurement of geographical entities in a forested environment. 2. The optimal spatial resolution. Remote Sensing of Environment 49 (1994) 105-117
30. Marceau D.J., and Hay G.J. Remote sensing contributions to the scale issue. Canadian Journal of Remote Sensing 25 (1999) 357-366
31. McCloy K.R., and Bøcher P.K. Optimizing image resolution to maximize the accuracy of hard classification. Photogrammetric Engineering & Remote Sensing 73 (2007) 893-903
32. Meteo-France. Meteo France - Climatologie (2008). http://www.meteofrance.com http://www.meteofrance.com
33. Ogaya R., Peñuelasa J., Marti{dotless}ínez-Vilaltab J., and Mangiróna M. Effect of drought on diameter increment of Quercus ilex, Phillyrea latifolia and Arbutus unedo in a holm oak forest of NE Spain. Forest Ecology and Management 180 (2003) 175-184
34. Openshaw S. The modifiable areal unit problem. Concepts and Techniques in Modern Geography (CATMOG) 38 (1984)
35. Pereira J.M.C., Oliveira T.M., and Paul J.P.C. Fuel mapping in a Mediterranean shrubland using Landsat TM imagery. In: Kennedy P.J., and Karteris M. (Eds). Proc. International Workshop on Satellite Technology and GIS for Mediterranean Forest Mapping Fire Management (1994), Office for Official Publications of the European Communities, Luxembourg 97-106
36. Rahman A.F., Gamon J.A., Sims D.A., and Schmidts M. Optimum pixel size for hyperspectral studies of ecosystem function in southern California chaparral and grassland. Remote Sensing of Environment 84 (2003) 192-207
37. Richter R., and Schläpfer D. Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: atmospheric/topographic correction. International Journal of Remote Sensing 23 (2002) 2631-2649
38. R-Team. R: A language and environment for statistical computing (2006), R Foundation for Statistical Computing, Vienna
39. Running S.W., and Coughlan J.C. A general model of forest ecosystem processes for regional applications I. Hydrological balance, canopy gas exchange and primary production processes. Ecological Modelling 42 (1988) 125-154
40. Schläpfer D., and Richter R. Geo-atmospheric processing of airborne imaging spectrometry data. Part 1: parametric orthorectification. International Journal of Remote Sensing 23 (2002) 2609-2630
41. Schlerf M., Atzberger C., and Hill J. Remote sensing of forest biophysical variables using HyMap imaging spectrometer data. Remote Sensing of Environment 95 (2005) 177-194
42. Sluiter R., and De Jong S.M. Spatial patterns of Mediterranean land abandonment and related land cover transitions. Landscape Ecology 22 (2007) 559-576
43. Sluiter R., De Jong S.M., Van der Kwast J., and Walstra J. A contextual approach to classify Mediterranean heterogeneous vegetation using the spatial reclassification kernel and DAIS7915 imagery. In: De Jong S.M., and Van der Meer F.D. (Eds). Remote sensing image analysis: Including the spatial domain (2004), Kluwer Academics, Dordrecht 291-310
44. Strahler A.H., Woodcock C.E., and Smith J.A. On the nature of models in remote sensing. Remote Sensing of Environment 20 (1986) 121-139
45. Tichonov A.N., and Arsennin V.J. Solutions of ill-posed problems (1977), Wiley, New York
46. Tomaselli R. Relations with other ecosystems: Temperate evergreen forests, Mediterranean coniferous forests, savannahs, steppes and desert shrublands. In: Di Castri F., Goodall D.W., and Specht R.L. (Eds). Mediterranean-type shrublands. Ecosystems of the world vol. 11 (1981), Elsevier, Amsterdam 123-130
47. Tucker C.J. Red and photographic infrared linear combinations of monitoring vegetation. Remote Sensing of Environment 8 (1979) 127-150
48. Watson D.J. Comparative physiological studies in the growth of field crops. I. Variation in net assimilation rate and leaf area between species and varieties, and within and between years. Annals of Botany 11 (1947) 41-76
49. Webster R., and Oliver M.A. Geostatistics for environmental scientists (2001), John Wiley & Sons Ltd., Chichester
50. Weiss M., Baret F., Smith G.J., Jonckheere I., and Coppin P. Review of methods for in situ leaf area index (LAI) determination Part II. Estimation of LAI, errors and sampling. Agricultural and Forest Meteorology 121 (2004) 37-53
51. Woodcock C.E., and Strahler A.H. The factor scale in remote sensing. Remote Sensing of Environment 21 (1987) 311-332
52. Woodcock C.E., Strahler A.H., and Jupp D.L.J. The use of variograms in remote sensing: I Scene models and simulated images. Remote Sensing of Environment 25 (1988) 323-348
53. Woodcock C.E., Strahler A.H., and Jupp D.L.J. The use of variograms in remote sensing: II Real digital images. Remote Sensing of Environment 25 (1988) 349-379