scholarly journals Classification of small scale landforms, its significance: a case study of the middle Ichamati river, India

2021 ◽  
Vol 71 (3&4) ◽  
pp. 59
Author(s):  
Madhab Mondal

Landforms are the core concept of geomorphology. The definition of landforms, their characterization and classification are the core subject of geomorphology. But all these become complex when it seems to difficult to identify the landforms, especially when the area is plain land and highly modified by human activities. This paper has examined the characters of the landforms of the middle basin of the Ichamati river, the important distributary in the district of North 24 Parganas, India. It has been primarily taken an attempt to classify the landforms with the help of the satellite image, IRS P6 LISS II and LISS III. The DEM is not enough to identify the micro scale landform. To overcome this difficulty a series of field works have been conducted (2002, 2004, 2012 and 2015). The landforms have been classified according to second order derivative (Wood, 1996) method. Then ANOVA test has been applied to justify the classification. The F-statistics have indicated the effort is satisfying. The changing character of different landforms denote the river is going to be deteriorating from downstream to upward.

2017 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Beny Harjadi

Work criteria and indicator of Catchments Area need to be determined because the success and the failure of cultivating Catchments Area can be monitored and evaluated through the determined criteria. Criteria Indicators in utilizing land, one of them is determined based on the erosion index and the ability of utilizing land, for analyzing the land critical level. However, the determination of identification and classification of land critical level has not been determined; as a result the measurement of how wide the real critical land is always changed all the year. In this study, it will be tried a formula to determine the land critical/eve/ with various criteria such as: Class KPL (Ability of Utilizing Land) and the difference of the erosion tolerance value with the great of the erosion compared with land critical level analysis using remote sensing devices. The aim of studying land critical level detection using remote sensing tool and Geographic Information System (SIG) are:1. The backwards and the advantages of critical and analysis method2. Remote Sensing Method for critical and classification3. Critical/and surveyed method in the field (SIG) Collecting and analyzing data can be found from the field survey and interpretation of satellite image visually and using computer. The collected data are analyzed as:a. Comparing the efficiency level and affectivity of collecting biophysical data through field survey, sky photo interpretation, and satellite image analysis.b. Comparing the efficiency level and affectivity of land critical level data that are found from the result of KPL with the result of the measurement of the erosion difference and erosion tolerance.


Author(s):  
John H. Doveton

Many years ago, the classification of sedimentary rocks was largely descriptive and relied primarily on petrographic methods for composition and granulometry for particle size. The compositional aspect broadly matches the goals of the previous chapter in estimating mineral content from petrophysical logs. With the development of sedimentology, sedimentary rocks were now considered in terms of the depositional environment in which they originated. Uniformitarianism, the doctrine that the present is the key to the past, linked the formation of sediments in the modern day to their ancient lithified equivalents. Classification was now structured in terms of genesis and formalized in the concept of “facies.” A widely quoted definition of facies was given by Reading (1978) who stated, “A facies should ideally be a distinctive rock that forms under certain conditions of sedimentation reflecting a particular process or environment.” This concept identifies facies as process products which, when lithified in the subsurface, form genetic units that can be correlated with well control to establish the geological architecture of a field. The matching of facies with modern depositional analogs means that dimensional measures, such as shape and lateral extent, can be used to condition reasonable geomodels, particularly when well control is sparse or nonuniform. Most wells are logged rather than cored, so that the identification of facies in cores usually provides only a modicum of information to characterize the architecture of an entire field. Consequently, many studies have been made to predict lithofacies from log measurements in order to augment core observations in the development of a satisfactory geomodel that describes the structure of genetic layers across a field. The term “electrofacies” was introduced by Serra and Abbott (1980) as a way to characterize collective associations of log responses that are linked with geological attributes. They defined electrofacies to be “the set of log responses which characterizes a bed and permits it to be distinguished from the others.” Electrofacies are clearly determined by geology, because physical properties of rocks. The intent of electrofacies identification is generally to match them with lithofacies identified in the core or an outcrop.


Land ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 319 ◽  
Author(s):  
Mohamed Ali Mohamed

In this study, a knowledge-based fuzzy classification method was used to classify possible soil-landforms in urban areas based on analysis of morphometric parameters (terrain attributes) derived from digital elevation models (DEMs). A case study in the city area of Berlin was used to compare two different resolution DEMs in terms of their potential to find a specific relationship between landforms, soil types and the suitability of these DEMs for soil mapping. Almost all the topographic parameters were obtained from high-resolution light detection and ranging (LiDAR)-DEM (1 m) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)-DEM (30 m), which were used as thresholds for the classification of landforms in the selected study area with a total area of about 39.40 km2. The accuracy of both classifications was evaluated by comparing ground point samples as ground truth data with the classification results. The LiDAR-DEM based classification has shown promising results for classification of landforms into geomorphological (sub)categories in urban areas. This is indicated by an acceptable overall accuracy of 93%. While the classification based on ASTER-DEM showed an accuracy of 70%. The coarser ASTER-DEM based classification requires additional and more detailed information directly related to soil-forming factors to extract geomorphological parameters. The importance of using LiDAR-DEM classification was particularly evident when classifying landforms that have narrow spatial extent such as embankments and channel banks or when determining the general accuracy of landform boundaries such as crests and flat lands. However, this LiDAR-DEM classification has shown that there are categories of landforms that received a large proportion of the misclassifications such as terraced land and steep embankments in other parts of the study area due to the increased distance from the major rivers and the complex nature of these landforms. In contrast, the results of the ASTER-DEM based classification have shown that the ASTER-DEM cannot deal with small-scale spatial variation of soil and landforms due to the increasing human impacts on landscapes in urban areas. The application of the approach used to extract terrain parameters from the LiDAR-DEM and their use in classification of landforms has shown that it can support soil surveys that require a lot of time and resources for traditional soil mapping.


2000 ◽  
Vol 44 (12) ◽  
pp. 2-575-2-578
Author(s):  
Georg Stawowy ◽  
Holger Luczak

Numerous German companies experience a slow down in team work two to three years after the implementation. Therefore, stability of work organization gains importance as a strategic goal. Based on a literature review on team development a model to describe team development as a basis for the definition of team maturity is presented in this paper. Furthermore, a classification of team tasks in addition to a chosen model of team development lead to a model to explain the relationships among process organization, team tasks and the level of social-psychological development. The underlying hypothesis are finally formulated. Following, a company case study with 28 teams has been conducted to research the tasks within a flow production line and to assess in 48 interviews with members of 14 teams the achieved level of team maturity.


1955 ◽  
Vol 14 (1) ◽  
pp. 34-36

This book is meant as an overview of the rapidly increasing literature on "those social roles which arise from the classification of men by the work they do." The core of his problem, Professor Caplow states, is the interplay of such factors as "the availability of natural resources, political ideologies, and the legal structure … with the more or less predictable consequences of the division of labor" (e.g. size, specialization, and rationalization). His underlying assumption, he says, is Durkheim's: occupation is the central bond of solidarity in modern urban society. Neither the formal definition of task nor the underlying assumption are pursued systematically—and, in fact, occupational groupings are later seen as subordinate to "more fundamental affiliations based on kinship, locality, religion, property, and status." (p. 182).


2021 ◽  
Vol 9 (4) ◽  
pp. 41-55
Author(s):  
Ewa Manikowska ◽  
Andrzej Jakubowski

This article seeks to contribute to the current debate on the new definition of the “museum” – a debate which led to turmoil at the 2019 ICOM General Assembly in Kyoto. With reference to the case study of the Museum of the Second World War in Gdansk (MSWW), it analyses the new and very successful genre of the narrative museum, a genre which arguably fulfils the core elements of the definition currently being discussed by ICOM. In this regard, it brings into focus the paramount importance of community involvement in creating and managing narrative museums – an aspect that has been virtually absent in the academic and media debates over the nature of the MSWW and its programme. By pointing out the fragility of the foundations for such participation, based solely on trust between communities, the museum, and state authorities, this article calls for and provides guidance for an academic and institutional redefinition of the narrative museum and the institution of a museum in general.


Author(s):  
Andrew J. Worth ◽  
Nikos Makris ◽  
Verne S. Caviness Jr. ◽  
David N. Kennedy

This paper offers a definition of precise, comprehensive, robust and practical neuroanatomical segmentation in magnetic resonance brain images with the goal of performing quantitative morphometric analyses. The main types of difficulties experienced with such problems are described, including those relating to the classification of MR signal intensities and the fact that there is insufficient information in the 2D image. To illustrate the details of obtaining a morphometric description, a case study of semi-automated methods is presented for segmenting the lateral ventricles and caudate nucleus in T1 coronal MR image data. The most significant remaining difficulties are summarized and are offered as objectives for further research.


2019 ◽  
Vol 8 (3) ◽  
pp. 249
Author(s):  
Anand Upadhyay ◽  
Jyotsna Anthal ◽  
Shashank Shukla

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