scholarly journals Klasifikasi Bentuk Muka Bumi (Landform) untuk Pemetaan Geomorfologi pada Skala 1:25.000 dan Aplikasinya untuk Penataan Ruang

2018 ◽  
Author(s):  
Budi Brahmantyo ◽  
Bandono Salim

Sari – Pembuatan peta geomorfologi, khususnya bagi mahasiswa geologi pemeta tugas akhir, dan umumnya bagi para ahli Geologi, kadang-kadang menimbulkan kesulitan pada tahap klasifikasi dan penamaan satuan geomorfologinya. Klasifikasi bentuk muka bumi ini dibuat untuk menjembatani kesulitan tersebut dengan tetap mendasarkan pada penjelasan genetis geologis. Dalam pembagian ini terdapat sembilan satuan bentang alam yang dikontrol baik oleh proses endogen maupun proses eksogen, yang masing-masing terbagi ke dalam beberapa satuan bentuk muka bumi. Kesembilan satuan bentang alam tersebut adalah: 1. Pegunungan Lipatan, 2. Pegunungan Plateau/Lapisan Datar, 3. Pegunungan Sesar, 4. Pegunungan Gunungapi, 5. Karst, 6. Sungai dan Danau, 7. Pantai, Delta dan Laut, 8. Gurun, 9. Glasial.Abstract – The development of geomorphologic map, especially for the students of geology, and also for geologists, faces a major problem in the stage of classifying and naming of its geomorphologic unit. This classification of landform tries to act as a bridge the problem which is still based on geologically genetic explanation. This classification is divided into nine landscape units that controlled by endogenic and/or exogenic processes, and each landscape is divided into several landform units. The landscape units are 1. Folded Mountain, 2. Plateau/Horizontal Layer Mountain, 3. Faulted or Block Mountain, 4. Volcanoes, 5. Karst, 6. River/Fluvial and Lake/Lacustrin, 7. Coastal, Delta and Marine, 8. Desert, 9. Glaciated Region.

2015 ◽  
Vol 8 (3) ◽  
pp. 40-50 ◽  
Author(s):  
Pavel Kovář

Abstract This paper summarizes those substantial theoretical concepts or methods for applications within interdisciplinary or practical uses published by Czech autors (geobotanists = ecological botanists, plant ecologists and ecophysiologists) during the second half of the 20th century, that were internationally cited. All selected thematical clusters are of landscape-ecological relevance through various contexts. Examples include the concepts of (potential) reconstructed vegetation in maps (R. Neuhäusl, Z. Neuhäuslová), linear vegetation features (corridors in landscape) and deductive classification of vegetation (K. Kopecký), analysis of soil seed bank (Z. Kropáč), dependency of macrophyte plant stands on ecodynamics (S. Hejný), dynamic periodicity in segetal vegetation (Z. Kropáč, E. Hadač, S. Hejný), anemo-orographic system explaining species richness in mountain regions (J. Jeník), productivity in grassland ecosystems (M. Rychnovská, J. Květ), elementary landscape units based on homogenity and potential vegetation (E. Hadač), landscape dispensation phenomena (V. Ložek), afforestation of coastal sandy dunes – the Netherlands, and polluted areas - the Czech Republic (J. Fanta), invasive plants and invasions into landscapes (M. Rejmánek).


Bothalia ◽  
2021 ◽  
Vol 51 (2) ◽  
Author(s):  
Ben Strohbach

Background: The Great Escarpment of southern Africa takes the form of an extended mountainous highland in central-western Namibia, commonly referred to as the ‘Khomas Hochland’. It is regarded as an area of high botanical diversity. Yet only few localised studies on the vegetation composition are available. The Khomas Hochland is formed on the southern part of the Damara Orogen and dominated by metamorphosed sediments. Climatically it forms a transition between the hot desert of the Namib and the slightly cooler hot steppe in the inland.Objectives: To classify and provide syntaxonomical descriptions of the vegetation of the Khomas Hochland.Methods: A dataset comprising 1151 relevés and 914 species was compiled from various surveys, mostly collected under, and to the standards of, the umbrella project ‘Vegetation Survey of Namibia’. For first classifications, the data set was reduced to a synusial set consisting of trees, shrubs, dwarf shrubs and grasses only.Results: The classification resulted in four major landscape units, being the Pre-Namib and Escarpment zone, the Khomas Hochland proper, riverine habitats as well as surrounding lowlands. The classification was further refined using Cocktail procedures to produce 30 associations, one with four sub-associations. These are described in this paper.Conclusion: A classification of synoptic data grouped the associations into five orders and one undefined cluster of associations on specialised desert habitats. Four of these orders correspond to the habitat types identified in the first classification. The fifth order, the Senegalio hereroensis–Tarchonanthoetalia camphorathi, represents high mountains of the central Khomas Hochland, which link biogeographically to the grassland biome in South Africa.


Author(s):  
Eduardo Corbelle-Rico ◽  
José María Tubío Sánchez

AbstractIn the beginning of 2015, the Regional Administration of Galicia (NW Spain) set the requirements for a map of landscape units: it had to be produced in less than 3 months, it should cover the whole territory of the region (29,574 km²), and it should be useful for management at a scale of 1:25,000. With these objectives in mind, we pro- posed a semiautomatic mapping methodology entirely based on the use of free software (GRASS GIS) and already available cartographic information. Semi-automatic classification of different land-use patterns was at the heart of the proposed process. Consultation with experts of different academic background took place along the project. This consultation process allowed to identify both problems and opportunities. As it could be expected, the diverse epistemic community represented by the expert panel implied that one of the main challenges was to reach consensus on the understanding of the concept of landscape and the decisions leading to the mapping methodology proposed in this paper. This initiated a very interesting debate that, in our view, was centred around three main issues: the approach to the landscape, the purpose of the mapping exercise, and the ability to include subjectivity into the analysis.


Agropedology ◽  
2019 ◽  
Vol 28 (1) ◽  
Author(s):  
R. Vasundhara ◽  
◽  
M. Chandrakala ◽  
S. Dharumarajan ◽  
B. Kalaiselvi ◽  
...  

Detailed soil survey was carried out to characterize and classify the soils of Madahalli watershed, Chamrajanagar district, Karnataka using cadastral map overlaid on Cartosat-1(ortho corrected) image as a base. Three landform units were identified based on elevation and slope i.e. gently sloping lands (3-5%), very gently sloping lands (1-3%) and nearly level lands (0-1%) and mapped into 6 soil series and 30 phases of soil series. These soils were classified as Alfisols (Typic Rhodustalfs, Rhodic Paleustalfs) and Inceptisols (Typic Haplustepts). Alfisols are slightly deep to deep, dark reddish brown to strong brown in hue 2.5YR 3/4 to 2.5YR 4/6, sandy loam to sandy clay in texture with >35 per cent gravel. Inceptisols are very deep, yellowish brown to dark brown with hue 10YR 4/6 to 10YR 3/3, sandy clay loam to clay in texture. These soils are moderately acidic to moderately alkaline (pH 5.26 to 8.17). The organic carbon content varied from low to high (0.21 to 1.16%) and CEC of the soils ranged from 4.1 to 19.9 cmol (p+) kg-1.


2019 ◽  
Vol 21 (2) ◽  
pp. 241-254
Author(s):  
Jucielho Pedro da Silva ◽  
Marcos Túlio Mendonça Diniz ◽  
Fernando Eduardo Borges da Silva ◽  
Matheus Dantas das Chagas

Este trabalho teve como objetivo principal a delimitação e caracterização das unidades de paisagem no táxon dos Geofácies, levando em consideração a classificação Geossistêmica de Bertrand (1972) e classificação Ecodinâmica de Tricart (1977), utilizando como base as informações geoespacializadas obtidas do mapa dos Geocomplexos acrescidos de características criteriosas visíveis nas imagens de satélite e de radar ao que tange a cobertura vegetal, geomorfologia e uso e ocupação da terra. Com base nestes parâmetros e critérios, foi possível compartimentar e caracterizar 12 Geofácies no município de Serra Negra do Norte-RN, alcançando assim resultados satisfatórios e êxito na pesquisa.Palavras-chave: Unidade de paisagem, Geofácie, Serra Negra do Norte. RESUMENEl objetivo principal de este trabajo fue la delimitación y caracterización de unidades de paisaje en el taxón Geofacies, teniendo en cuenta la clasificación Geosistemica de Bertrand (1972) y la clasificación Ecodinámica de Tricart (1977), utilizando como base la información geoespacializada obtenida del mapa Geocomplex. agregado con características discernibles visibles en imágenes de satélite y radar en cuanto a cobertura vegetal, geomorfología y uso y ocupación de la tierra. En base a estos parámetros y criterios, fue posible compartimentar y caracterizar 12 Geofacies en el municipio de Serra Negra do Norte-RN, logrando así resultados satisfactorios e investigaciones exitosas.Palabras clave: Unidad de paisaje, Geoface, Northern Black Mountain. ABSTRACTThis work had as main objective the delimitation and characterization of the Geofacies landscape units, taking into account the Bertrand Geossistêmica classification (1972) and the Ecodynamic classification of Tricart (1977), using as geospatial basis the geocoplex map added with critical criteria in satellite and radar images covering a vegetation cover, geomorphology and land use and occupation. Based on parameters it was comparatively possible and characterized 12 geofácies in the municipality of Serra Negra do Norte-RN, thus achieving satisfactory results in the research.Keywords: Landscape unit, Geofácie, Serra Negra do Norte


Mercator ◽  
2016 ◽  
Vol 15 (3) ◽  
pp. 53-66 ◽  
Author(s):  
Romario Trentin ◽  
Luís E. Souza Robaina
Keyword(s):  

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.


Author(s):  
Gerald Fine ◽  
Azorides R. Morales

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)


Author(s):  
Irving Dardick

With the extensive industrial use of asbestos in this century and the long latent period (20-50 years) between exposure and tumor presentation, the incidence of malignant mesothelioma is now increasing. Thus, surgical pathologists are more frequently faced with the dilemma of differentiating mesothelioma from metastatic adenocarcinoma and spindle-cell sarcoma involving serosal surfaces. Electron microscopy is amodality useful in clarifying this problem.In utilizing ultrastructural features in the diagnosis of mesothelioma, it is essential to appreciate that the classification of this tumor reflects a variety of morphologic forms of differing biologic behavior (Table 1). Furthermore, with the variable histology and degree of differentiation in mesotheliomas it might be expected that the ultrastructure of such tumors also reflects a range of cytological features. Such is the case.


Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).


Sign in / Sign up

Export Citation Format

Share Document