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Classification and terminology of morainic landforms in Finland

Boreas, 1977
The terms assigned to Finnish morainic landforms were frequently originally established for areas where the glacial environment was different from that in Finland. The terms therefore are not always applicable to the conditions found here and there is a need for some revision. Some new proposals are presented in this paper. The term cover moraine could
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Using the landform tool to calculate landforms for hydrogeomorphic wetland classification at a country-wide scale

South African Geographical Journal, 2014
Hydrogeomorphic approaches to wetland classification use landform classes to distinguish wetland functionality at a regional scale. Space-borne radar technology enabled faster regional surveying of surface elevations to digital elevation models, which allowed for automated terrain attribute and landform classification using geographical information ...
Namhla Mbona   +3 more
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Geomorphons — a pattern recognition approach to classification and mapping of landforms

Geomorphology, 2013
Abstract We introduce a novel method for classification and mapping of landform elements from a DEM based on the principle of pattern recognition rather than differential geometry. At the core of the method is the concept of geomorphon (geomorphologic phonotypes) — a simple ternary pattern that serves as an archetype of a particular terrain ...
Tomasz F. Stepinski   +2 more
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ON A LANDFORM CLASSIFICATION AND SOME PROBLEMS OF TERMINOLOGY

Soviet Geography, 1975
A paleogeomorphologist proposes a classification of the earth's landforms that would reflect the shaping of surface relief as a continuous process since the beginnings of the earth. In his view, the relief of former outer surfaces of the earth, now invisible to the observer, needs to be included in such a classification on the same basis as the relief ...
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The Natick Landform Classification System

1974
Abstract : This report provides a description of the landform classification system developed by the US Army Natick Laboratories for AMSAA environmental evaluations, employing maximum hill height, model hill height, and number of positive features per mile as criteria, together with the development rationale and limitations.
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High-resolution landform classification using fuzzy -means

Fuzzy Sets and Systems, 2000
Previous attempts to devise automated methods of landscape classification have been frustrated by computational issues related to the size of the data set and the fact that most automated classification methods create discrete classes while ‘natural’ interpreted landscape units often have overlapping property sets.
Peter A. Burrough   +2 more
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PROPERTIES AND CLASSIFICATION OF FTVE SOILS ON ALLUVIAL LANDFORMS IN CENTRAL NIGERIA

Canadian Journal of Soil Science, 1987
Five soils formed in alluvium in central Nigeria are described, characterized and classified. One soil is on the present floodplain of the River Benue, while the others are on terraces of both the River Niger and the River Benue and their tributaries.
R. H. Rust, T. A. Okusami, A. S. R. Juo
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An approach to DEM analysis for landform classification based on local gradients

Earth Science Informatics, 2018
In this paper we propose an exploratory methodology, devoted to classify the pixels of a Digital Elevation Model (DEM), to be used as a morphometric basis for studies in other frameworks. The aim is to classify the terrain units according to eight topographical local gradients, computed as differences between each pixel and the eight surrounding ones ...
Sergio Camiz, Maurizio Poscolieri
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The impact of data normalisation on unsupervised continuous classification of landforms

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Although most clustering techniques that characterise output classes by mean vectors and a covariance matrix require that features are roughly Gaussian, feature assessment for normality is often ignored in the classification process. This paper presents an example of the effect of data transformation on unsupervised continuous classification of ...
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Object oriented classification of coastal landform based on texton theory

2016 IEEE International Conference on Signal and Image Processing (ICSIP), 2016
This paper focus on classification of coastal landform. The study area is locate in QinZhou, Guangxi Zhuang Autonomous Region, China, using GF-1 image. In view of complex coastal landform, the current study firstly transforming RGB model to CIE LAB model, dividing image based on colour gradient, then conducting Gabor filtering and PCA transformation to
Zou Bin, Sun Shutting, Liu Jianqiang
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