Dleineation and characterization of geomorphological features in a part of lower maharahstra metamorphic plateau using IRS-ID LISS-III Data

In the present study, an attempt has been made to delineate and characterize the different geomorphic units of Tundiya river catchment in a part of Lower Maharahstra Metamorphic Plateau, north-eastern part of Nagpur district, Maharashtra. The drainage, contour and delineated geological units have been overlaid on IRS-ID LISS III satellite imagery (bands 2,3 and 4) in EASI/PACE analysis system to delineate and characterize different geomorphological units and analysis of their processes based on the field observations. The study area is basically of metamorphic in origin with different geological formations and is influenced by the various fluvio-morphological processes. Based on the satellite data analysis, the distinct geomorphological units viz., table top summits, structural hills, subdued plateau, linear ridges, shallow, moderate and deeply buried foot slopes, shallow valley fills and deep valley fills have been delineated and characterized. The information generated from satellite data in the form of vector layers has been used in GIS to generate geological and geomorphological maps of the study area. The present study demonstrates that IRS-ID LISS-III data in conjunction with geology, drainage and contour parameters to enable detailed evaluation of different geomorphological units and analysis of their processes based on the field observations. The delineated geomorphological units can be utilized for evaluation and management of natural resources and geo-environment on sustainable basis at river catchment level.     

Use of geomorphological units to improve drainage network extraction from a DEM : Comparison between automated extraction and photointerpretation methods in the Carraixet catchment (Valencia, Spain)

Drainage networks are one of the main elements characterizing basins, and network topology and geometry form the basis of many hydrological and geomorphological models (eg Geomorphological Unitary Hydrograph). The identification and manual delineation of channel networks from maps or aerial photographs requires much time and effort. In the last two decades, algorithms and procedures for automated extraction of drainage networks from digital elevation data have been developed and implemented in many specialized software applications. Nevertheless, automatically delineated channel networks do not always show close agreement with manually delineated networks. This paper describes a comparative analysis between a drainage network automatically extracted from a gridded digital elevation model, and the drainage network delineated manually from stereographic pairs of aerial photographs. The analysis showed that the automatic extraction technique may be adequate for catchment headwaters, but is inappropriate in the middle and lower basins, especially for alluvial fans and calcareous platforms. The paper suggests improving the automatic extraction technique by adapting it to operate with different parameters for each of the geomorphological units within the catchment.     

Geological, geomorphological, hydrogeological and land use/land cover studies around kamthi area, Nagpur district, Maharashtra using remote sensing techniques

Detailed geological, geomorphological, hydrogeological and land use/land cover studies have been carried out for the Kamthi and adjoining areas of district Nagpur by visual interpretation method of remote sensing data of IRS LISS III, FCC of bands 2, 3 and 4. The interpreted data is supplemented as well as cross-checked by field visits to add minor details of lithounits, nature of lithological contacts, geological and geomorphological features. On the basis of these studies, the various lithounits: Archaean metasediments, the Talchir Shale. the Barakar Sandstone, the Kamthi Sandstone, basalt and alluvium have been mapped. Geomorphological units are mainly of denudational and fluvial origins and are represented by dissected plateaus, pediplains, pediments and alluvium. The land use/land cover study shows that a major part of the area is covered by agricultural land followed by built up and waste land. The flowing and stagnant water bodies, mine and mine dump have also been identified. In the present paper, an attempt has been made to delineate the area with reference to ground water prospects into excellent, very good to good, moderate and poor ground water prospect zones. It has been observed that the sandstone lithounits form excellent aquifers while the basalt and shale form moderate to poor aquifers respectively.     

GIS-based geomorphological mapping using remote sensing data and supplementary geoinformation: A case study of the Dhaka city area,Bangladesh

This study aims to prepare a detailed GIS-based geomorphological map accompanied with landfill sites of Dhaka city area which can be used for multipurpose functionality. Attainment of the geomorphological map is based upon interpretation of the oldest available aerial photographs (1:40,000) and contemporary topographic maps (1:8000) which reflect almost pre-urban ground of Dhaka. Randomly distributed 160 boreholes have been used to prepare representative soil profiles (RSP) to identify the near-surface lithology of the geomorphological units. The study reveals that 13 out of 18 low-lying geomorphic units, comprising 65% of the total area demand landfill practices for urban development. Landfill sites have been merged with urban growth on each low-lying geomorphic unit using a spatially enhanced fused image of IRS-1D PAN and ETM+ bands 5, 4 and 3, acquired February 2000 and 2002, respectively. We found that 43% area of the total low-lying geomorphic units experience fill practices so far. The fill sites have been differentiated into four classes based on their relative thickness. Integration of fill classes with geomorphological map shows the urban dynamics of Dhaka city area till 2002. Due to GIS integration, this map can be rapidly updated to demonstrate temporal modifications in urban ground. It can be used effectively in different geomorphological hazard mapping and urban land-use practices.     

AN EXPERIMENT IN SYSTEMATIZING THE CARTOGRAPHIC IMAGES OF GEOMORPHOLOGICAL FEATURES

The authors attempt to identify and standardize the cartographic symbols (“images”) used to represent a variety of specific geomorphological features. A large number of cartographic representations of landform features found on geological-geomorphological maps are classified in terms of their basic pattern/configuration and the level of complexity within each major pattern type. It is argued that the pattern or configuration of a cartographic symbol used to represent a geomorphological feature should represent the spatial structure of that feature with sufficient reliability to serve as a key to an understanding of its genesis. Translated from: Geomorfologiya, 1987, No. 2, pp. 62-66.     

地貌从脚踏实地开始

陈述彭先生是我国著名的地理学家,他提出的《桂林七星岩喀斯特溶洞地貌图》、《西南地区喀斯特地貌》、《徐霞客游记在怒江、腾冲地区的实地验证》等论文都有很高的学术价值。他在地形鸟瞰图的制作,喀斯特洞穴地貌图的编制,中国地貌区划和中国气候地貌研究,黄河、淮河和长江下游平原地貌制图与地图分析,中国的地表侵蚀与堆积研究,大比例尺景观制图方法与实验,中国的新生代火山群等方面对我国的地貌学研究做出了巨大贡献。     

PHOTOGRAMMETRIC PRINCIPLES FOR THE COMBINATION OF REMOTE SENSING AND THREE-DIMENSIONAL MAPPING

A review of Soviet research describes methods of combining remote sensing and geodetic data in cartometric data bases—for the purposes of compiling more detailed and accurate “three-dimensional” terrain maps. The major objective is to provide, by means of photogrammetric techniques employing stereopairs or series of overlapping images, elevational data on selective key geomorphological points (along structure lines, summits of ridges, valley bottoms, etc.) which can be used to supplement (or replace) data obtained for the control points of a rectangular grid. Creation of digital models from these “geomorphological” points provides more accurate three-dimensional terrain maps. Translated from: Vestnik Moskovskogo Universiteta, geografiya, 1986, No. 6, pp. 56-64.     

地貌结构线阵列处理法自动综合等高线

本文提出了一种地貌结构线矩阵数据处理法,并由此来达到地貌等高线自动综合的目的。包括地貌结构线的数字化方法,地貌结构线的数学模型,原始数据整理,地貌沟谷自动综合,等高线自动选取和自动连结同一等高线点并输出等过程。最后用抛物线光滑法输出滑光的等高线图。     

Geohydrological evaluation of upper agniar and vellar basins,tamil nadu: An integrated approach using remote sensing,geophysical and well inventory data

The present paper focuses mainly on the assessment of groundwater availability in the Upper Agniar and Vellar basins. The remote sensing data was used to map the geomorphological units and structural pattern. The integration of geomorphology and structural pattern with geophysical and well inventory data reveals that shallow groundwater occurrence is controlled by geomorphological characteristics whereas at intermediate depth faults/fractures control the yield of groundwater. The study has also indicated that the eastern part of the basins is more favourable for groundwater development than the western part.     

基于SRTM-DEM的阿尔泰山构造地貌特征分析

基于美国SRTM-DEM数据，利用彩色晕染、密度分割与GIS空间统计分析等技术，并结合地质资料，通过地形高程、地表坡度 及地形剖面等分析手段，对阿尔泰山的构造地貌特征进行初步分析。研究表明，阿尔泰山脉平均海拔约1 790 m，平均坡度约21° ，其高海拔与高坡度的现代地貌特征，主要与强烈的断裂构造活动有关； 山脉严格受到以北西向为主的断裂构造活动的影响与控 制，其发育的构造地貌单元基本上呈北西走向特征； 山脉阶梯状地貌特征明显，共发育5级剥夷面，不同级剥夷面所处的海拔不一 样，同级剥夷面具有东北侧高于西南侧，山脉东、中段高于西段的特点。     

基于偏微分方程的小比例尺晕渲图地貌综合方法研究

基于高精度DEM数据的晕渲图中,破碎的地形细节破坏了晕渲法的立体塑造能力,但是采用传统的均值滤波法进行地貌综合时,在消除地形细节的同时,模糊了地貌特征。为了克服消除地形细节和保持地貌特征这一矛盾,利用偏微分方程各向异性的特点,采用基于经典总变分模型的偏微分方程法对地貌进行综合。实验结果证明偏微分方程法在综合地貌时能较好地保持地貌结构特征。     

Hydrogeomorphological studies by remote sensing application in niva river basin, chittoor district, andhra pradesh

To evaluate the hydrogeomorphological conditions of Niva river basin Chittoor district, Andhra Pradesh, geological, hydrogeological and geomorphological studies were carried out. through visual interpretation of Landsat 5, FCC with adequate ground truth. The study shows that the Niva river basin is occupied by granites and gneisses of Archaean age with intrusive bodies of dolerites. The recent alluvium deposits are present along the stream courses. The study area is traversed by various directional fractures/lineaments and most of them are NESW, ENE-WSW and EW directions. Groundwater potential of geomorphological units viz. Denudational hill, Residual hill, Pediment, Pediplain and Valley fill is discussed.     

Generalization of DEM for terrain analysis using a compound method

This paper reports an investigation into the generalization of a grid-based digital elevation model (DEM) for the purpose of terrain analysis. The focus is on the method of restructuring the grid-based surface elevation data to form a triangulated irregular network (TIN) that is optimized to keep the important terrain features and slope morphology with the minimum number of sample points. The critical points of the terrain surface are extracted from the DEM based on their significance, measured not only by their local relief, but also by their importance in identifying inherent geomorphological and drainage features in the DEM. A compound method is proposed by integrating the traditional point-additive and feature-point methods to construct a drainage-constrained TIN. The outcome is then compared with those derived from other selected methods including filtering, point-additive or feature-point algorithms. The results show that the compound approach is capable of taking advantage of both point-additive and feature-point algorithms to maximally keep the terrain features and to maintain RMSE at an acceptable level, while reducing the elevation data points by over 99%. The analytical result also shows that the proposed method outperforms the compared methods with better control in retaining drainage features at the same level of RMSE.     

基于Windows Phone的地理野外实习系统

针对目前地理野外实习中相关辅助移动设备及客观条件的限制,基于Windows Phone设计的地理野外实习系统,能够实现实习小组的实时定位、实习轨迹的记录与回放等功能,直观地查看模拟的复杂地质地貌形成过程,借助绘图板快速地进行地质地貌素描。采用数字字典技术可以快速有效地录入地质地貌数据,提供图文并茂的实习区域整体概况。     

Geology and geomorphology of Cumbum valley and Varushanadu hills,Madural district,Tamil Nadu through remote sensing

The Varushanad hills forms the eastern offshoot of the Western Ghats and the Cumbum valley divides the Varushnad hills from the Western Ghats. Investigations were carried out in about 1700 sq Km comprising the Cumbum valley and the Varushanad hills of the Western Ghats situated in Periakulam Srivalliputhur and Usilampatti taluks of Tamil Nadu on the geological and geomorphological aspects. Remote sensing techniques were used and limited field checks were made. Visual interpretation of aerial photographs on 1:60,000 scale was carried out for identifying the geomorphological features, drainage pattern and lithology. Digital analysis of the Landsat computer compatible tape (CCT) path-row 154–053 was also carried out to delineate major lithological variations. Major lineaments were also mapped from the Landsat imagery and false colour composite. The rock types of the Cumbum valley and the Varushanad hills are mainly charnockites, granite gneiss and pink granites which have been deformed by folds and faults. The various geomorphological units of the area are ridges, valleys, bazada zone and pediment zone of mountain complex. Resources evalution studies on the potential zone of ground water and possible construction materials were also discussed.     

THE HYPSOMETRIC MAP AS A SPECIAL GEOMORPHOLOGICAL MAP

In a critique of maps used for geomorphological research (too cluttered to be read effectively, too general in respect to contour positioning), the author describes: (a) a methodology whereby conventional hypsometric maps can be corrected through the use of air photos, (b) outlines principles for symbol generalization and selection whereby the amount of geomorphological information perceived on hypsometric maps is increased, and (c) recommends the joint use of hypsometric, topographic photo-, and general geomorphological maps as the most effective means of terrain analysis. Translated by Larry Richardson, Glendale, CA 91202 from: Geomorfologiya, 1991, No. 2, pp. 38–45.     

Geomorphological map of Bist Doab Tract,Punjab from Landsat imagery analysis

The Bist Doab Tract of Punjab is an agriculturaly important region lying between the two rivers viz: Beas and Satluj on two sides and the Siwaliks range on the third side. Landsat imagery of bands 5,7 and false colour composite covering this tract were analysed for the texture, shape, size and pattern to study the different geomorphic units developed under different geological periods and environments. The study has enabled to identify the following land form zones (i) Structural hill-Siwaliks-Z1 (ii) Table land-Z2 (iii) Upper piedmont-Z3 (iv) Lower piedmont-Z4 (v) Alluvial plain-Z5 (vi) Sandy and Saline tract-Z6 (vii) Older flood plain-Z7 (viii) Active flood plain-Z8. The resultant geomorphological map of the area has been prepared on 1: 1M scale and as such the applicability of the remotely sensed data has been found to be of immense use in the quick identification of regional geomorphic setting of the area.     

地形图等高线成组综合的试验

本文在讨论制图自动综合一般问题的基础上,着重分析了两种等高线自动综合的技术路线存在的优缺点。笔者提出,采用模拟人类专家智能的方法,从二维的等高线输入数据出发,提取地貌结构信息,从而对等高线进行成组的综合,直接形成经综合的二维等高线输出数据,有可能获得较为简捷,效果良好的综合结果。在对这条技术路线进行实验的过程中所涉及的人工智能问题,主要包括:对无序数字化等高线数据的整理、等高线上重要特征点的识别、正负向地貌特征的确定、谷地点的选出、谷底线的自动跟踪、谷地重要性的计算、谷间距的自动量算、对称谷地的寻找、综合后图形的生成等。     

Interpretation of Synthetic Aperture Radar (SAR) imagery for geological appraisal: A comparative study in Anantapur district of Andhra Pradesh

The paper describes the details of a comparative study of geological interpretations carried out from Synthetic Aperture Radar (SAR) imagery, Landsat MSS (B & W) imagery and Aerial Photographs, covering 2100 sq km of area in Anantapur district of Andhra Pradesh. The area comprises Peninsular—Gneissic Complex and rocks of Dharwar and Cuddapah Super Groups beside the Quaternary alluvial deposits along the Penneru river and its tributaries. Geomorphologically the areas is represented by denudational, fluvial and structural landforms. The study indicates that the details of the geological and geomorphological maps prepared from SAR imagery and aerial photographs are comparable despite the smaller scale of SAR imagery while the same are not exhibited in Landsat imagery mainly due to its low resolution. Although broad lithological units are possible to be discriminated on SAR as well as aerial photographs, some of the finer rock types viz. gabbroic dykes could be discriminated from the delerite dykes in the SAR imagery due to their different surface roughness. Stereoscopic coverage and enhanced micro-relief of SAR imagery gives better geomorphological details in comparison to aerial photographs. A detailed study of lineaments has also been carried out which shows that in SAR imagery there is over-representation of short lineaments due to enhanced micro-relief and radarshadow effects across the look direction and under-representation of lineaments along the look direction. Landsat imagery is perhaps the best for demarcating lineaments of regional magnitude while aerial photographs are good for depicting shorter lineaments. However, certain lineaments seen in SAR imagery are often not continuously seen on aerial photographs.     

Landforms and Geomorphological Classification of Part of The Upper Baitarani River Basin

Geomorphological map is a very effective tool in management of natural resources and helps in various types of planning and developmental activities. In the present study, geomorphological map for part of the upper Baitarani river basin was prepared using aerial photographs on 1:25,000 scale, satellite imagery in the form of IRS-IA false colour composites, generated from bands, 2,3,4 and SOI topographic sheets validated by ground truth. Since large part of the study area is inaccessible, remotely sensed data have played an important role in detailed mapping. The study area is mainly underlain by Precambrian rocks. Quarternary and recent formations are confined mainly to the river valleys. The criteria adopted for the identification and grouping of landforms of specific genetic type are the overall appearance (morphography), the shape/surface geometry (morphometry). the underlying geology, relief forming processes, and association of forms. The landform units as identified and delineated on the remotely sensed data are grouped under two genetic types, denudational and fluvial. Ten landform units, each having its own features, were identified under three geomorphic domains viz. Hill, Piedmont and Plain.