Seasonality of finely-resolved spatial structure of NDVI and its component reflectances in tallgrass prairie

International Journal of Remote Sensing

Volumn 19, Issue 16, 1998, Pages 3213-3220

  Goodin, D G ^a   Henebry, G M ^b  

^a KANSAS STATE UNIVERSITY   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; LIGHT REFLECTION; MOISTURE; OPTICAL RESOLVING POWER; VEGETATION;

NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI); SEMIVARIOGRAMS;

REMOTE SENSING;

NDVI; PRAIRIE; SEASONALITY; SPATIAL DISTRIBUTION; SPECTRAL REFLECTANCE;

EID: 0032216209     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311698214280     Document Type: Article

References (18)

1. Atkinson, P. M 1997, Technical note. On estimating measurement error in remotely-sensed images with the variogram.International Journal of Remote Sensing, 18, 3075-3084.
2. A tkinson, P. M., and C urran, P. J., 1997, Choosing an appropriate spatial resolution for remote sensing investigations.Photogrammetric Engineering and Remote Sensing, 63, 1345-1351.
3. Briggs, J. M., and NeLLis, M. D., 1991, Seasonal variation of heterogeneity in tallgrass prairie: a quantitative measure using remote sensing.Photogrammetric Engineering and Remote Sensing, 57, 407-411.
4. CAnson, T. N., and RipLEy, D. A., 1997, On the relation between NDVI, fractional vegetation cover, and leaf area index.Remote Sensing of Environment, 62, 241-252.
5. Chavez, P. S., Jr., 1992, Comparison of spatial variability in visible and near-infrared spectral images.Photogrammetric Engineering and Remote Sensing, 58, 957-964.
6. Cohen, W. B., 1994, GIS applications perspective: current research on remote sensing of forest structure. InRemote Sensing and GIS in Ecosystem Management, edited by A. S. Sample (Washington, D.C.: Island Press), pp. 91-107.
7. CoLLins, S. L., and Wallace, L. L., 1990, Fire in North American Tallgrass Prairie(Norman, OK: University of Oklahoma Press).
8. CurrAn, P. J., 1988, The semivariogram in remote sensing: an introduction.Remote Sensing of Environment, 24, 493-507.
9. C urrAn, P. J., and A tkinson, P. M., 1998, Geostatistics and remote sensing.Progress in Physical Geography, 22, 61-78.
10. G AusmAn, H. W., 1977, Reflectance of leaf components.Remote Sensing of Environment, 6, 1-9.
11. Goodin, D. G., and HEnEbry, G. M., 1997, A technique for monitoring ecological disturbance in tallgrass prairie using seasonal NDVI trajectories and a discriminant function mixture model.Remote Sensing of Environment, 61, 270-278.
12. HEnEbry, G. M., 1993, Detecting change in grasslands using measures of spatial dependence with Landsat TM data.Remote Sensing of Environment, 46, 223-234.
13. Isaaks, E. H., and Srivastava, R. M., 1989, An Introduction to Applied Geostatistics(Oxford: Oxford University Press).
14. King, A. W., Johnson, A. R., and Oneill, R. V., 1991, Transmutation and functional representation of heterogeneous landscapes.Landscape Ecology, 5, 239-253.
15. Knapp, A. K., Briggs, J. M., Hartnett, D. C., and Coluns, S. L., editors, 1998, Grassland Dynamics: Long-Term Ecological Research in Tallgrass Prairie(New York: Oxford University Press).
16. Lamm, F. R., Pacey, D. A., and Manges, H. L., 1987, Spreadsheet template for the calculation of Penman reference evapotranspiration.American Society of Agricultural Engineers, Paper no. MCR 87-106.
17. SeLLers, P. J., Heiser, M. D., Hall, F. G., Goetz, S. J., Strebel, D. E., Verma, S. B., Desjardins, R. L., Schuepp, P. M., and MacPherson, J. I., 1995, Effects of spatial variability in topography, vegetation cover and soil moisture on area-averaged surface fluxes: A case study using the FIFE 1989 data.Journal of Geophysical Research, 100, 25 607-25 629.
18. Woodcock, C. E., Strahler, A. H., and Jupp, D. L. B., 1988, The use of variograms in remote sensing: II. Real digital images. Remote Sensing of Environment, 25, 349-379.