The selection of representative training samples is critical to the success with which cover types can be demarcated when applying a supervised approach to image classification. A study suggests that interpretations can be expected not to vary
Automated mapping ; Classification ; Esker ; Fluvioglacial features ; Geomorphometry ; Glacial features ; Kame ; Michigan ; Model ; Moraine ; Numerical model ; United States of America
) derived from digital elevation models (DEMs) to differentiate glaciated landscapes using maximum likelihood classification and artificial neural networks (ANN). The automated methods were trained and validated using an existing Quaternary geology map
Automated approaches for identifying different types of glaciated landscapes using digitally processed elevation data were evaluated. The AA. tested the ability of geomorphic measures (elevation, relative relief, roughness, and slope gradient
Computer analysis of integrated digital data sets can be exploited for geomorphological classification using automated methods developed in the remote sensing community. In this study, geomorphological classification in a moderate- to high-relief
The concept of a geomorphological signature is developed for classifying and mapping slope units with an automated procedure for analysing digital elevation and remote sensing data. Slope units are extracted from a digital elevation model (DEM
Evaluation of multispectral, fine scale digital imagery as a tool for mapping stream morphology
Cartographie ; Classification ; Cours d'eau ; Etats-Unis ; Géométrie hydraulique ; Montana ; Système d'information géographique ; Traitement des données ; Télédétection ; Wyoming
Cartography ; Channel geometry ; Classification ; Data processing ; Geographical information system ; Montana ; Remote sensing ; Stream ; United States of America ; Wyoming
Multispectral digital imagery acquired from Soda Butte and Cache Creeks, Montana and Wyoming was used in conjuction with field data to classify and map hydrogeomorphic stream units on 4 stream reaches. The morphologic units that were field mapped
were eddy drop zones, glides, low gradient riffles, high gradient riffles, lateral scour pools, attached bars, detached bars, and large woody debris. Unsupervised and supervised classifications of the imagery were used to develop a Maximum Joint
Probability classification and an Alternative Joint Probability classification of the stream reaches.
This article presents a review of the combined analysis of digital terrain models (DTMs) and remotely sensed data in landscape investigations. The utilization of remotely sensed data with DTMs has become an important trend in geomatics in the past
Geomorphometric mapping of Asia Minor from GLOBE digital elevation model
Anatolia ; Asia ; Cartography ; Cluster analysis ; Digital elevation model ; Geomorphometry ; Mountain ; Peneplain ; South-Eastern Asia ; Turkey
This paper focuses on the mapping of landscapes in Asia Minor on the basis of the moderate resolution digital elevation model GLOBE that provides a regional relief representation. Finally, the classification identifies 2 branches. In between
Morphological typifications of Slovenia's surface using global classification methods
Classification ; Digital elevation model ; Geographical information system ; Geomorphology ; Landscape ; Slovenia ; Typology
Classification ; Géomorphologie ; Modèle numérique de terrain ; Paysage ; Slovénie ; Système d'information géographique ; Typologie
Morphology is often the most important factor in distinguishing landscapes and is an important element in geographical classifications, typifications, and regionalizations. Therefore, morphological divisions of the surface have a long tradition
in Slovenia and abroad. This article presents examples of foreign methods of global surface classification of Slovenia and compares them to the established Slovenian typification of Slovenia’s surface. - (IKR)
Optimisation of relief classification for different levels of generalisation
Cartography ; Classification ; Cultivated land ; Digital elevation model ; Germany ; Landscape ; Saxony ; Slope gradient ; Topography
Allemagne ; Cartographie ; Classification ; Modèle numérique de terrain ; Paysage ; Pente de versant ; Sachsen ; Sol cultivé ; Topographie
classification scheme to optimize 4 classification parameters with regard to environmentally sensitive landforms : shoulder and footslope. Input datasets were based on a LIDAR scan and topographic maps.
Use of rice response characteristics in classification using LANDSAT MSS digital data
Compare les réponses obtenues sur des rizières depuis leur mise en eau jusqu'à maturation du riz, avec le modèle descriptif de Kauth et Thomas, et le modèle quantitatif de l'A. et développe une méthode de classification. - (C B)
The second-generation earth observation satellites of the Landsat programme carry the Thematic Mapper sensor with improved spatial and spectral resolution. The feasibility of the Thematic Mapper for forest classification in Flanders is investigated
. A supervised classification scheme is adopted, with special emphasis on the assessment of classification accuracy on different levels of detail : forest/non-forest, coniferous/deciduous, species and age classes. - (Authors).
Cartography ; China ; Classification ; Geographical information system ; Geomorphogenesis ; Geomorphology ; Micromorphology ; Numerical data ; Structural geomorphology ; Typology
This digitalclassification method combines landforms characteristics of morphology with genesis. A total of 15 categories of exogenic and endogenic forces are divided into 2 broad categories: morpho-genetic and morpho-structural landforms
. The classification method of digital morpho-genetic types can be divided into 7 layers, i.e. basic morphology and altitude, genesis, sub-genesis, morphology, micro-morphology, slope and aspect, material and lithology. The method proposes combinations of matrix forms
based on layered indicators. This system was developed in parallel with a GIS geodatabase in China. Therefore, different information from every classification method can be easily performed and integrated in the ArcGIS geodatabase for the entire country.
Effects of variable attribute weights on landform classification
California ; Classification ; Digital elevation model ; Geographical information system ; Geomorphology ; Landscape analysis ; Methodology ; Relief ; Soil map ; Topography ; United States of America
Analyse du paysage ; California ; Carte pédologique ; Classification ; Etats-Unis ; Géomorphologie ; Modèle numérique de terrain ; Méthodologie ; Relief ; Système d'information géographique ; Topographie
This paper focuses on the attribute weight issue and advocates use of modifiable attribute weights in terrain-based environmental analysis and classification. As an example, the effects of modifying attribute weights were evaluated for fuzzy k-means
landform classification in a case study area. A total of 102 classifications were compared with each other and with a soil map, and comparison methods were specifically designed to evaluate the differences between these classifications. The results show
that fuzzy k-mean landform classification is sensitive to weight adjustments of adopted terrain attributes.
Landform is often the most important factor in distinguishing between regions and an important element of geographic classification, typification, and regionalization; this is why morphological classification has had a long tradition in Slovenia
and abroad. One of the best-known classifications was developed by the American geographer Edwin H. Hammond, who classified the landforms of the United States in great detail. - (L'A.).
Classification ; Digital elevation model ; Geographical information system ; Geomorphology ; Methodology ; Relief ; Slovenia ; Typology ; World
Classification ; Géomorphologie ; Modèle numérique de terrain ; Monde ; Méthodologie ; Relief ; Slovénie ; Système d'information géographique ; Typologie
Morphology is often the most important factor in distinguishing landscapes and is an important element in geographical classifications, typifications, and regionalizations. The development of geographic information systems has significantly
increased the number of methods and indicators used for determining, analyzing, and classifying morphological units at various size levels. The AA. present an example of foreign method of simple global surface classification of the World and Slovenia. - (IKR)
The performance of conventional digitalclassification techniques has been compared to the visual interpretation of digitally enhanced images by testing the results statistically. - (LW)
According to the composition of the superficial layer, 25 different surface types were determined in the field. These surfaces cover 8 soil units of the FAO World Soil Map Classification, which are found with different phases and in different soil
Comparability and subjectivity of land cover maps produced with digital image classification techniques : some recent experiences from Denmark and northern Germany