An approach to computing topographic wetness index based on maximum downslope gradient (original) (raw)
References
- Barling, R. D., Moore, I. D., & Grayson, R. B. (1994). A quasi-dynamic wetness index for characterizing the spatial distribution of zones of surface saturation and soil water content. Water Resources Research, 30, 1029–1044.
Article Google Scholar - Beven, K., & Kirkby, N. (1979). A physically based variable contributing area model of basin hydrology. Hydrological Sciences Bulletin, 24, 43–69.
Article Google Scholar - Burrough, P. A., & McDonnell, R. A. (1998). Principles of geographic information systems (p. 333). New York: Oxford University Press.
Google Scholar - Burrough, P., van Gaans, P., & MacMillan, R. (2000). High-resolution landform classification using fuzzy k-means. Fuzzy Sets and Systems, 113, 37–52.
Article Google Scholar - Freeman, T. G. (1991). Calculating catchment area with divergent flow based on a regular grid. Computers & Geosciences, 17, 413–422.
Article Google Scholar - Gallant, J. C., & Wilson, J. P. (2000). Primary topographic attributes. In J. P. Wilson & J. C. Gallant (Eds.), Terrain analysis: Principles and applications (pp. 51–85). New York: John Wiley & Sons, Inc.
Google Scholar - Güntner, A., Seibert, J., & Uhlenbrook, S. (2004). Modeling spatial patterns of saturated areas: An evaluation of different terrain indices. Water Resources Research, 40, W05114. doi:10.1029/2003WR002864.
Article Google Scholar - Hjerdt, K., McDonnell, J., Seibert, J., & Rodhe, A. (2004). A new topographic index to quantify downslope controls on local drainage. Water Resources Research, 40, W05602. doi:10.1029/2004WR003130.
Article Google Scholar - Kyveryga, P. M., Blackmer, T. M., & Caragea, P. C. (2008). Using soil and terrain attributes to delineate management zones in corn yield response to nitrogen fertilization. In R. Khosla (Ed.), Precision agriculture: Proceedings of the 9th international conference on precision agriculture (CD-ROM). Denver, Colorado, USA.
- Lindsay, J. B. (2003). A physically based model for calculating contributing area on hillslopes and along valley bottoms. Water Resources Research, 39, 1332. doi:10.1029/2003WR002576.
Article Google Scholar - Marques da Silva, J. R., & Alexandre, C. (2005). Spatial variability of irrigated corn yield in relation to field topography and soil chemical characteristics. Precision Agriculture, 6, 453–466.
Article Google Scholar - Moore, I., Gessler, P., Nielsen, G., & Peterson, G. (1993). Soil attribute prediction using terrain analysis. Soil Science Society of America Journal, 57, 443–452.
Article Google Scholar - O’Callaghan, J. F., & Mark, D. M. (1984). The extraction of drainage networks from digital elevation data. Computer Vision, Graphics, and Image Processing, 28, 323–344.
Article Google Scholar - O’Loughlin, E. M. (1986). Prediction of surface saturation zones in natural catchments by topographic analysis. Water Resources Research, 22, 794–804.
Article Google Scholar - Pan, F., Peters-Lidard, C., Sale, M., & King, A. (2004). A comparison of geographical information system-based algorithms for computing the TOPMODEL topographic index. Water Resources Research, 40, W06303. doi:10.1029/2004WR003069.
Article Google Scholar - Planchon, O., & Darboux, F. (2001). A fast, simple and versatile algorithm to fill the depressions of digital elevation models. Catena, 42, 159–176.
Google Scholar - Qin, C.-Z., Zhu, A.-X., Li, B.-L., Pei, T., & Zhou, C.-H. (2006). Review of multiple flow direction algorithms based on gridded digital elevation models. Earth Science Frontiers, 13, 91–98. (in Chinese with English abstract).
Google Scholar - Qin, C.-Z., Zhu, A.-X., Pei, T., Li, B.-L., Zhou, C.-H., & Yang, L. (2007). An adaptive approach to selecting a flow-partition exponent for a multiple-flow-direction algorithm. International Journal of Geographical Information Science, 21, 443–458.
Article Google Scholar - Quinn, P., Beven, K., Chevalier, P., & Planchon, O. (1991). The prediction of hillslope flow paths for distributed hydrological modeling using digital terrain models. Hydrological Processes, 5, 59–79.
Article Google Scholar - Quinn, P., Beven, K. J., & Lamb, R. (1995). The ln(α/tan_β_) index: How to calculate it and how to use it within the TOPMODEL framework. Hydrological Processes, 9, 161–182.
Article Google Scholar - Schmidt, F., & Persson, A. (2003). Comparison of DEM data capture and topographic wetness indices. Precision Agriculture, 4, 179–192.
Article Google Scholar - Vitharana, U., van Meirvenne, M., Simpson, D., Cockx, L., & de Baerdemaeker, J. (2008). Key soil and topographic properties to delineate potential management classes for precision agriculture in the European loess area. Geoderma, 143, 206–215.
Article CAS Google Scholar - Wolock, D. M., & McCabe, G. J. (1995). Comparison of single and multiple flow direction algorithms for computing topographic parameters. Water Resources Research, 31, 1315–1324.
Article Google Scholar - Zhou, Q., & Liu, X. (2002). Error assessment of grid-based flow routing algorithms used in hydrological models. International Journal of Geographical Information Science, 16, 819–842.
Article Google Scholar - Zhu, A.-X., Yang, L., Li, B.-L., Qin, C.-Z., Pei, T., & Liu, B.-Y. (2009). Construction of membership functions for predictive soil mapping under fuzzy logic. Geoderma. doi:10.1016/j.geoderma.2009.05.024.