Monitoring and assessing of landscape heterogeneity at different scales

Environmental Monitoring and Assessment

Volumn 185, Issue 11, 2013, Pages 9419-9434

  Lausch, Angela ^a   Pause, Marion ^b   Doktor, Daniel ^a   Preidl, Sebastian ^a   Schulz, Karsten ^c  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

Author keywords

Hyperspectral imagery; Landscape heterogeneity; Monitoring; Scale effects; Semivariogram

Indexed keywords

MONITORING; SPECTROSCOPY; VEGETATION;

HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL IMAGE DATAS; IMAGING SPECTROMETERS; LANDSCAPE HETEROGENEITIES; NORMALISED DIFFERENCE VEGETATION INDEX; SCALE EFFECTS; SEMIVARIOGRAMS; VEGETATION PARAMETERS;

SPECTRAL RESOLUTION;

ENVIRONMENTAL ASSESSMENT; ENVIRONMENTAL MONITORING; HETEROGENEITY; LANDSCAPE; MULTISPECTRAL IMAGE; NDVI; PIXEL; SCALE EFFECT; SPATIAL DATA; SPATIAL RESOLUTION;

ARTICLE; BARE SOIL; CONTROLLED STUDY; DECIDUOUS FOREST; ENVIRONMENTAL CHANGE; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PARAMETERS; FOREST; FOREST STRUCTURE; GRASSLAND; LANDSCAPE ECOLOGY; MIXED HARDWOOD FOREST; NORMALIZED DIFFERENCE VEGETATION INDEX; REFLECTOMETRY; REMOTE SENSING; SOIL; SPECTROSCOPY; VEGETATION;

EID: 84885473449     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-013-3262-8     Document Type: Article

References (29)

1. Atkinson, P. M. (1993). The effect of spatial resolution on the experimental variogram of airborne MSS imagery. International Journal of Remote Sensing, 14, 1005-1011.
2. Atkinson, P. M.; Tate, N. J. (2000). Spatial scale and geostatistical solutions: a review. The Professional Geographer, 52, 607-623.
3. Blöschl, G. (1999). Scaling issues in snow hydrology. Hydrological Processes, 13, 2149-2175.
4. Briggs, J. M.; Nellis, M. D. (1991). Seasonal variation of heterogeneity in the tallgrass prairie: a quantitative measure using remote sensing. Photogrammetric Engineering and Remote Sensing, 57, 407-411.
5. Chen, W.; Henebry, G. M. (2010). Spatio-spectral heterogeneity analysis using EO-1 Hyperion imagery. Computers & Geoscience, 36, 167-170.
6. De Cola, L. (1994). Simulating and mapping spatial complexity using multiscale techniques. International Journal of Geographic Information Systems 8(5), 411-421.
7. Ettema, C. H.; Wardle, D. A. (2002). Spatial soil ecology. Trends in Ecology & Evolution, 17, 177-183.
8. Garrigues, S.; Allard, D.; Baret, F.; Weiss, M. (2006). Quantifying spatial heterogeneity at the landscape scale using variogram models. Remote Sensing of Environment, 103, 81-96.
9. Garrigues, S.; Allard, D.; Baret, F.; Moisett, J. (2008). Multivariate quantification of landscape spatial heterogeneity using variogram models. Remote Sensing of Environment, 112, 216-230.
10. Goodin, D. G.; Henebry, G. M. (1998). Seasonality of finely-resolved spatial structure of NDVI and its component reflectances in tallgrass prairie. International Journal of Remote Sensing, 19, 3213-3220.
11. Goodin, D. G.; Henebry, G. M. (2002). The effect of rescaling on fine spatial resolution NDVI data: a test using multi-resolution aircraft sensor data. International Journal of Remote Sensing, 23, 3865-3871.
12. Goodin, D. G.; Gao, J.; Henebry, G. M. (2004). The effect of solar zenith angle and sensor view angle on observed patterns of spatial structure in tallgrass prairie. IEEE Transactions on Geoscience and Remote Sensing, 41, 154-165.
13. Hall, M. R.; Swanton, C. J.; Anderson, G. W. (1992). The critical period of weed control in grain corn (Zea mays). Weed Science, 40, 441-447.
14. Hornschuch, F.; Riek, W. (2009). Bodenheterogenität als Indikator von Naturnähe? 2. Biologische, strukturelle und bodenkundliche Diversität in Natur- und Wirtschafts- wäldern Brandenburgs und Nordwest-Polens. Waldökologie, Landschaftsforschung und Naturschutz, 7, 55-82.
15. Isaak, E. H.; Srivastava, R. M. (1989). An introduction to applied geostatistics. New York: Oxford University Press.
16. Lausch, A.; Pause, M.; Merbach, I.; Gwillym-Margianto, S.; Schulz, K.; Zacharias, S.; et al. (2012). Scale-specific hyperspectral remote sensing approach in environmental research. PFG, 5, 589-602.
17. Lausch, A.; Pause, M.; Merbach, I.; Zacharias, S.; Doktor, D.; Volk, M.; et al. (2013). A new multi-scale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field and landscape. Environmental Monitoring and Assessment, 185, 1215-1235.
18. Levesque, J.; King, D. J. (1999). Airborne digital camera image semivariance for evaluation of forest structural damage at an acid mine site. Remote Sensing of Environment, 68, 112-124.
19. Mäkisara, K.; Meinander, M.; Rantasuo, M.; Okkonen, J.; Aikio, M.; Sipola, K.; Pylkkö, P. & Braam, B. (1993). Airborne Imaging Spectrometer for Applications (AISA), Digest of IGARSS'93, 2, 479-481 (Tokyo, Japan).
20. Malenovský, Z.; Bartholomeus, H. M.; Acerbi-Junior, F.; Schopfer, J. T.; Painter, T. H.; Epema, G. F.; et al. (2007). Scaling dimensions in spectroscopy of soil and vegetation. International Journal of Applied Earth Observation and Geoinformation, 9, 137-164.
21. Richter, R.; Schlapfer, D. (2002). Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: atmospheric/topographic correction. International Journal of Remote Sensing, 23, 2631-2649.
22. Rogaß, C.; Spengler, D.; Bochow, M.; Segl, K.; Lausch, A.; Doktor, D.; et al. (2011). Reduction of radiometric miscalibration - applications to pushbroom sensors. Sensors, 11, 6370-6395. doi: 10.3390/s110606370.
23. Rouse, J.W.J.; Hass, R.H.; Schell, J.A.; Deering, D.W. (1974). Monitoring vegetation systems in the Great Plains with ERTS. In Proceedings Earth Resources Technology Satellite (ERTS) Symposium, 3rd.; Greenbelt, MD, 10-14 Dec 1973, 309-317.
24. Sellers. (1985). Canopy reflectance, photosynthesis and transpiration. International Journal of Remote Sensing, 6, 1335-1372.
25. Siegmann, B. (2011). Klassifikation trockener Offenlandvegetation mit bildspektrometrischen Daten unterschiedlicher Auflösung im Naturschutzgebiet Döberitzer Heide - Ein Vergleich verschiedener Klassifikationsverfahren des maschinellen Lernens. Diplomarbeit, Martin Luther Universität Halle-Wittenberg, 114 pp.
26. Tarnavsky, E.; Garrigues, S.; Brown, M. E. (2008). Multiscale geostatistical analysis of AVHRR, SPOT-VGT, and Modis global NDVI products. Remote Sensing of Environment, 112, 535-549.
27. Webster, R.; Oliver, M. A. (2001). Geostatistics for environmental scientists. Statistics in practice (p. 271). Chichester: Wiley.
28. Wu, J. (2009). Scale Issues in remote sensing: a review on analysis, processing and modeling. Sensors, 9, 1768-1793. doi: 10.3390/s90301768.
29. Zacharias, S.; Bogena, H.; Samaniego, L.; Mauder, M.; Fuß, R.; Pütz, T.; et al. (2011). A network of terrestrial environmental observatories in Germany. Vadose Zone Journal, 10, 955-973.