Geomorphology and landuse of Pasighat-Jonai bazar area-A photo based study in a part of Dihang river basin,Arunachal pradesh and Assam

Photo-interpretation coupled with systematic field checks over an area of about 1500 sq. km has led to the identification of various landform units and their characteristic landuse pattern in part of the submontaneous tract of Arunachal Pradesh and Assam in the Dihang river basin. Four major geomorphic units have been mapped and their respective lithounits are studied in detail. Present landuse and the land’s capability inrespect of each of the major geomorphic units have been noted. Suggestions have been made for better utilisation of land.     

Geologic and geomorphic controls in land use patterns — examples using remote sensing techniques

Land use on earth’s landscape primarily indicates the degree of human activity which in turn reflects the man’s life style. Though land use is controlled by several factors like soil, hydrologic, climatic, socio-economic and political yet geology and gecmorphology play an important role. The basic lanscape formation depends mainly on the inherent lithology and sturcture. Certain landforms in the present landscape are such that they are suitable to a particular land use, and the human being from the very beginning without knowing this natural relationship between the landform and landuse, have been using that part of land for that particular use only. Remote sensing techniques are used effectively to map the landforms, to find out the land use pattern and to delineate the lithology and structure. Some examples from east coast deltaic plains and sedimentary terrain of Tripura state have been given here to show the influence of geology and geomorphology on broad land use pattern.     

Monitoring the impact of coal mining and thermal power industry on landuse pattern in and around Singrauli Coalfield using Remote Sensing data and GIS

Singrauli Coalfield spreading over an area of about 300 sq km along Uttar Pradesh and Madhya Pradesh border in the central part of India, is witnessing rapid industrialisation due to a large number of open pit coal mining projects and Super Thermal Power Station (STPS). Large scale mining activities along with operation of STPS have generated a great deal of environmental stress not only on the landuse pattern but also on various ecosystems in this region. An integrated remote sensing study was conducted to assess the impact of industrialisation on landuse pattern in the area under reference. The multispectral, multi-temporal data (1975, 1986 & 1991) of LANDSAT MSS and TM duly supplemented with ground truth were studied for generation of multidate landuse maps. Data base for landuse for the years 1975, 1986 and 1991 was created using PAMAP GIS for landuse analysis and change detection for optimal utilisation, planning and management of land resources. The study has revealed that the areas under built-up land, mining and fly ash pond have increased substantially from 1975 to 1991. Loss in forest cover and agricultural land has occurred due to rapid industrialisation in this region. It has been observed from the comparison of 1986 and 1991 data that the wasteland generated due to deforestation for initiating coal mining projects has gradually been reclaimed under operation “Green Gold” launched by Northern Coalfields Ltd. Further the wastelands have been effectively utilised for establishing the STPS, townships as well as other infrastructures in this area.     

Monitoring of forest cover type and landuse classes through remote sensing techniques

Ranikhet tahsil being situated in mountaineous region of the Himalaya has been influenced by fast changes in forest cover and landuse during the recent past. Remote sensing technique has been employed to monitor the changes in forest cover and imporant landuse classes. Landsat MSS (FCC) and Landsat TM (FCC) of 1972 and 1986 respectively has been visually interpreted. The study highlights the potential of remote sensing techniques for monitoring the changes in forest cover and land use classes.     

Landuse mapping by air photo technique

Land use on earth's landscape primarly indicates the degree of human interferance. Though landuse is controlled by several factors like soil, hydrologic, climatic, socio-economic and political yet geology and geomorphology play an important role in shaping landforms. The landforms processes mainly depend upon inherent lithology and structure of the earth. In the present paper an attempt has been made to study a sample area by air photo-interpretation technique using stereo-models and then evolve a methodology of land use mapping like photogeological and photopedological aspects. Also in brief, environmental aspects have been discussed. A sample area of 15 sq kms has been studied. The study opens up a new dimension for appreciation of resource and landuse management     

Landuse/land cover change in Mumbai-Navi Mumbai cities and its effects on the drainage basins and channels — A study using GIS

The Mumbai-Navi Mumbai cities (Bombay and New Bombay) are among the highest populated cities in the country. The population pressure has caused drastic landuse change in the last seventy years. Multi-date data from SOI topographical maps and Landsat TM digital data have been used to study the landuse change. The change has been quantified using A GIS It was observed that 55% reduction in forest/agricultural land, while a 300% increase in built-up land has taken place in the last seventy years. This has affected the natural drainage system of the cities, causing flooding during monsoons. The quantum of draînage basin area and stream length, in the ten basins which drain the area, under influence of built-up land was found by using a map overlay of the drainage network map and landuse map of 1994. The results shed light on the extent of drainage network disruption within these two neighbouring cities.     

Geomorphological map of Gujarat from landsat imagery analysis

Landsat imagery of bands 6 and 7 covering Gujarat state were analysed for the texture, shape, size and pattern to study the different landforms developed under different climatic environments. The study enabled to identify the following landforms (i) Hill, (ii) Table land, ridge and dome, (iii) Pediment, (iv) Plain and (v) Marine landscape along with their subunits.     

Problems of bias in mapping linear landforms from satellite imagery

Remotely sensed images are an important data source for the mapping of glacial landforms and the reconstruction of past glacial environments. However the results produced can differ depending on a wide range of factors related to the type of sensors used and the characteristics of the landforms being mapped. This paper uses a range of satellite imagery to explore the three main sources of variation in the mapped results: relative size, azimuth biasing and landform signal strength. Recommendations include the use of imagery illuminated with low solar elevation, although an awareness of the selective bias introduced by solar azimuth is necessary. Landsat ETM+ imagery meets the requirements for glacial landform mapping and is the recommended data source. However users may well have to consider alternative data in the form of SPOT, Landsat TM or Landsat MSS images. Digital elevation models should also be considered a valuable data source.     

Study of landforms,land use and land units of a part of Krishna district,Andhra Pradesh,from aerial photographs

Utilising aerial photographs as the chief source of information an attempt has been made to study the land units, land use, land capability and limitations in relation to geomorphology of an area of about 350 sq. kms. in Krishna district of Andhra Pradesh. Besides identifying major individual landforms, the area is divided into four geomorphic environments each characterised by dominant landform pattern and relief. Each form and unit is described. Nine types of land units based on amount of slope and six land use classes were chosen after preliminary interpretation and a reconnaissance field check. The estimated range in slope is given for each land unit. The land’s capability and limitations are brought out from consideration of landforms, land units (slopes), nature of soil and water resources. Soil samples were collected from each geomorphic unit and analysed. The results are presented in the form of 3 maps and 2 tables, which may be of use for planning and development of the area.     

Satellite based mapping and morphogenetic analysis of the landforms in the tertiary fold belts of parts of Tripura,India

In the present study, satellite-based mapping and morphogenetic analysis of eastern part of Tripura has been attempted. Landforms are delineated based on conjugate analysis of satellite-imaged and satellite-derived digital elevation data. Further, landforms were classified based on hierarchical three-tier classification system where genesis is used as a criteria to classify the landforms in the first level followed by nature of their dissection and the geometric forms of the landform in second and third level, respectively. During the analysis, it has been observed that most of the landforms are structural in origin and their orientations are guided by the geological lineaments although the variations in the dissection pattern of the landforms are related to the changes in the underlying lithology. The implementation of quantitative analysis using hypsometric integral and ruggedness index of geomorphic parameters indicates that the landforms are immature but have been evolving towards maturity.     

Dynamics of coastal landform features along the southern Tamil Nadu of India by using remote sensing and Geographic Information System

This article reveals an application of multi-spectral satellite data for analysing the dynamics of different coastal landform features along the southern coastal Tamil Nadu of India. An integrated approach comprising visual image interpretation and maximum-likelihood supervised classification has been employed to classify the coastal landforms by using IRS data (during the period 1999–2006). The quality of image classification has been assessed by performing the accuracy assessments with the existing thematic maps and finally the coastal landforms have been mapped. The study reveals that the dynamics of coastal landforms such as sandy beaches, mud-flats, sand dunes and salt marshes along the study area are mostly influenced by the coastal processes, sediment transport, geomorphology and anthropogenic activities. Major anthropogenic sources for the perturbation of beach sediment budgets and a cause of beach erosion along the study area are excessive sand mining, removal of sand dunes, coastal urbanization, tourism and developmental activities.     

Evaluation of Landsat TM data for forest cover type and landuse classification in subtropical forests of Kumaon Himalaya (U.P.)

LANDSAT-TM has been evaluated for forest cover type and landuse classification in subtropical forests of Kumaon Himalaya (U.P.) Comparative evaluation of false colour composite generated by using various band combinations has been made. Digital image processing of Landsat-TM data on VIPS-32 RRSSC computer system has been carried out to stratify vegetation types. Conventional band combination in false colour composite is Bands 2, 3 and 4 in Red/Green/Blue sequence of Landsat TM for landuse classification. The present study however suggests that false colour combination using Landsat TM bands viz., 4, 5 and 3 in Red/Green/Blue sequence is the most suitable for visual interpretation of various forest cover types and landuse classes. It is felt that to extract full information from increased spatial and spectral resolution of Landsat TM, it is necessary to process the data digitally to classify land cover features like vegetation. Supervised classification using maximum likelihood algorithm has been attemped to stratify the forest vegetation. Only four bands are sufficient enough to classify vegetaton types. These bands are 2,3,4 and 5. The classification results were smoothed digitaly to increase the readiability of the map. Finally, the classification carred out using digital technique were evaluated using systematic sampling design. It is observed that forest cover type mapping can be achieved upto 80% overall mapping accuracy. Monospecies stand Chirpine can be mapped in two density classes viz., dense pine (<40%) with more than 90% accuracy. Poor accuracy (66%) was observed while mapping pine medium dense areas. The digital smoothening reduced the overall mapping accuracy. Conclusively, Landsat-TM can be used as operatonal sensor for forest cover type mapping even in complex landuse-terrain of Kumaon Himalaya (U.P.)     

Geomorphic evolution of a part of Middle Ganga Plain,Bihar: A case study using remote sensing data

An insight into the geomorphic evolution of any area can be obtained by detailed landform mapping. In the present study, an area in the Middle Ganga Plain has been selected for the study using mainly remote sensing data. Various fluvial landforms have been mapped and the changes in planform of rivers over approximately 50 years have been evaluated. Both fluvial processes and tectonic activities are considered to have collectively influenced the migration of the rivers in this region. Digital enhancements of Landsat MSS and TM data are found to be quite useful in identification and mapping of subtle fluvial palaeofeatures. The present study demonstrates the utility of remote sensing in examining the geomorphic evolution of the area.     

Geomorphology and land use pattern of visakhapatnam urban - industrial area

Geomorphology and land use pattern of Visakhapatnam urban – industrial area have been studied using IRS IB and SPOT data. The geomorphic units under structural landforms, fluvial landforms and coastal landforms were identified and appropriate field confirmations were made. The geomorphic units such as inselbergs/residual hills, rolling plains, colluvial plains, fractures, piedmont fans, pediments were identified under structural landforms. The units wind gap, paleo channels, gully land, alluvial plain and natural levee were identified under fluvial landforms. The coastal landforms include sea cave, sea stack, red sediments, beach sands and marshy area. Study of the land use pattern reveals the land use under various categories of residential, planned and un planned, agricultural land, waste land and others. The data will have high relevance and usefulness for urban, industrial and ground water resource evaluations in the context of rapid urbanization and industrialization.     

Characterization of Landforms and Soils in Complex Geological Formations—A Remote Sensing and GIS Approach

The present investigation has been designed to analyze the landform and soil relationship in a geologically complex terrain of Tirora tahsil of Gondia district, Maharashtra using remotely sensed data and GIS technique. The geomorphologic units of the study area were delineated through visual interpretation of IRS–ID LISS-III data based on the spatial variation of the image characteristics. Thirteen landform units have been identified in the tahsil. The slope varied from level to nearly level with an area of about 63.76% of the tahsil. Rest of the area ranged from very gentle to moderately steep slopes. During soil survey, soil profiles were studied for morphological features. Horizon-wise soil samples were collected from the representative soil profiles on each landform unit. The depth of soil varied from 25 to 160 cm and colour from dark brown to very dark grayish brown. The texture ranged from clay loam to clayey in accordance with higher and lower topographic positions respectively. Higher available water holding capacity (AWC 285 mm) is found in low-lying area and low to medium AWC (140 mm) is noticed in the soils developed at higher elevation. The soils reaction (pH) is strongly acidic in nature (pH 5.2) on dissected hills, linear ridge and moderately weathered pediments, whereas, the soils are moderately to slightly acidic in nature (pH 5.5 to 6.5) on hills, shallow weathered pediments, moderately weathered pediments, deeply weathered pediments, narrow valleys, and broad valley floors. Slightly alkaline condition (pH 7.6) was observed on foot slopes and aggraded valley fills. The electrical conductivity of the soils is found almost same in all landforms. The cation exchange capacity of the area varies from 10.5 to 51.5 cmol(p⁺)kg^?1. The base saturation increases with decreasing elevation and slope. The four major soil orders viz, Entisols, Alfisols, Inceptisols and Vertisols are found in the study areas which are further classified into suborder and great group levels. The landform and soil relationship was analyzed to appraise the land resources in the tahsil. The study shows that the application of remotely sensed data and GIS are immensely helpful in land resources appraisal for their management on sustainable basis.     

Application of multidate satellite imagery for land use planning and management in the drought prone areas of Karnataka

Based on visual interpretation of Multidate Landsat Imagery, the spatial distribution of land use/land cover over 45,000 sq.km, spread over the three drought prone districts of Bijapur, Belgaum and Dharwar in NW Karnataka, has been mapped. The land use/land cover is classified into five Level-I and twelve Level-II classes. The pattern of change in land use/land cover during the period October, 1980 and January, 1982 has been one of decline in all the land use classes (except for agricultural use, which is more due to seasonal change) which highlight the land use/land cover changes in the drought prone area. An optimum land use plan requires that all the cropland should be zoned for cultivation while marginal lands like scrub land and mixed barren land (from the view point of cultivation) should be zoned for pasture/grazing and animal husbandary. There is a case for flexibility here, depending upon the pressure of population on land. The accuracy level of the ‘information base’ of the thematic map(s) obtained from Landsat imagery is 94 percent.     

Multi level land use surveys using remote sensing techniques

The use of Landsat imagery at 1:1 M and 1:250,000 and aerial photos on 1:65,000 and 1:20,000 scale have been used to study landuse. It has been possible to achieve identification using Landsat imagery up to utility level ( level 1 and II ) and with the aerial photographs further subdivisions of utility into management and identification (level III and IV) .     

基于DEM的山地鞍部点分级提取方法

本文以地形起伏变化较大的陕北黄土丘陵沟壑区为例,通过流域边界线上高程相对低点的自动识别,实现基于DEM数据的地面鞍部点自动获取。实验结果显示,采用该方法所提取的地面鞍部点具有层次结构显著、提取精度高、操作简便、便于确定重要性等级及与山顶点空间关系等优点,对于DEM地形特征点簇的构建与分析具有重要意义。     

Vegetation and landuse analysis of aglar watershed using satellite remote sensing technique

Wetershed management requires spatial knowledge of vegetation attribute, alongwith landuse, socio-economic and physical parameters. Aglar watershed, which drains in the river Yamuna, is situated in a socio-economically backward region. Any development plan in this region will require an approach which considers natural unit of watershed and its parameterisation. The study highlights the utility of space remote sensing data in obtaining spatial information of vegetation and existing landuse through visual interpretation of 1:50,000 scale Landsat TM false colour composite. Aglar watershed has been identified as forested having distinct vegetation distribution and landuse practice in southern and northern aspects of the watershed. Southern aspects are more inhabited and subjected to terrace cultivation and acute shortage of vegetation resources for fuelwood and fodder. The northern aspect is thickly vegetated with low-population density.     

基于随机森林的土地利用分类与景观格局分析

基于景观格局分析方法,分别选取8个反映景观格局类型和6个反映景观水平格局指数用于探索土地利用变化状况.实验结果表明:①基于选择合适的训练样本下,对3期遥感影像采用随机森林的监督分类方法,总体精度均在94％以上,kappa系数均为90％以上;②综合来看,研究期内建设用地为优势景观类型.研究区斑块数量增加,破碎化程度有所加...