Hierarchical pattern recognition of landform elements considering scale adaptation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nature and Landscape Conservation,Earth-Surface Processes,Geology,Geography, Planning and Development,Global and Planetary Change
Link
https://link.springer.com/content/pdf/10.1007/s11629-023-8014-9.pdf
Reference49 articles.
1. Atkinson J, de Clercq W, Rozanov A (2020) Multi-resolution soil-landscape characterisation in KwaZulu Natal: Using geomorphons to classify local soilscapes for improved digital geomorphological modelling. Geoderma Reg 22: e00291. https://doi.org/10.1016/j.geodrs.2020.e00291
2. Burrough PA, van Gaans PFM, Hootsmans R (1997) Continuous classification in soil survey: spatial correlation, confusion and boundaries. Geoderma 77(2–4): 115–135. https://doi.org/10.1016/S0016-7061(97)00018-9
3. Burrough PA, van Gaans PFM, MacMillan RA (2000) Highresolution landform classification using fuzzy k-means. Fuzzy Sets Syst 113(1): 37–52. https://doi.org/10.1016/S0165-0114(99)00011-1
4. Camiz S, Poscolieri M (2018) An approach to DEM analysis for landform classification based on local gradients. Earth Sci Inform 11(2): 287–305. https://doi.org/10.1007/s12145-018-0337-7
5. Carter JR (1992) The effect of data precision on the calculation of slope and aspect using gridded DEMs. Cartographica 29(1): 22–34. https://doi.org/10.3138/AJ35-34H3-524K-0685
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