IRS-ID LISS-III Research Articles

Land Suitability Evaluation for Rice (Oryza sativa L.) in Tirora Tehsil of Gondia District, Maharashtra - A GIS Approach

In the present study, land suitability evaluation has been carried out for rice in Tirora tehsil of Gondia district, Maharashtra, through analysis of landforms and soils using IRS–ID LISS-III and ancillary data Geographic Information System (GIS). Thirteen distinct landform units have been delineated in the study area. The slope of the tehsil varied from level to nearly level (0-1%) to very steep slopes (>50%). The soils occurring on different land forms units been studied and horizons wise soil samples were characterized and classified. The soil depth varied from very shallow (10-25 cm) to very deep (>150 cm) and soil texture ranged from clay loam to clayey depending upon topographic positions. The land evaluation criterion of FAO has been followed to assess the land suitability for rice. The suitability analysis indicates that about 45.5% of total geographical area (TGA) is highly suitable, 24% is moderately suitable and 24.2% o is not suitable for rice cultivation in the tehsil.

Geomorphological Mapping Using Remote Sensing and GIS A Tool for Land Use Planning Around Shivpuri City, M.P., India

Landforms on the earth surface are expensive to map or monitor. Remote Sensing observations from space platforms provide a synoptic view of terrain on images. Satellite multispectral data have an advantage in that the image data in various bands can be subjected to digital enhancement techniques for highlighting contrasts in objects for improving image interpretability. Landforms are interpreted on the basis of interpretation element keys namely such as- tone, texture, size, shape, color etc. and extract the specific information from the false color composites LISS-III sensor images. Geomorphological units are classified on the basis differential erosion processes. In the study area, mainly presentational hills of Vindhyan sediments and pediments of granites are predominant landforms. Apart from these above geomorphic units, alluvial plain, pediplain, structural hills and residual hills are mapped using IRS-ID LISS-III satellite imagery using visual interpretation technique along with field check. Remote Sensing and GIS offers detecting, analyzing and time- cost effective way to fulfill these goals. Keywords- Geomorphology mapping, GIS, IRS-1D, LISS-III, Remote Sensing I. Introduction Now-a-days, Land use planning is important task for local and government authority to provide suitable land for human activities in the study area so it is realized that land use planning need to be developed in an integrated and comprehensive manner based on geomorphic study. In this study, Remote Sensing and GIS, tools and techniques are used to identify landform, geomorphic units and area mapping because geomorphology is the base of land use planning.

Temporal behaviour of surface waterlogged areas using spaceborne multispectral multitemporal measurements

Waterlogging and subsequent salinization and/or alkalization is the major land degradation problem in the irrigation commands of the semi-arid regions. Information on the nature, extent and spatial distribution of waterlogged areas is a pre-requisite for restoration of fertility, which has hitherto been generated conventionally. Realising the potential of spaceborne multispectral measurements in providing reliable information on spatial patterns of waterlogged areas in a timely and cost-effective manner, a study was taken up to delineate and monitor the spatial distribution pattern of waterlogged areas in Mahanadi command Stage-I covering parts of Orissa state, eastern India using Landsat-TM, Indian Remote Sensing satellite (IRS-1A) Linear Imaging Self-Scanning Sensor (LISS-II) and IRS-ID LISS-III data. A systematic on-the-screen visual interpretation approach after geo-referencing and radiometric normalization of digital multispectral data in a Silicon Graphics work station using ERDAS/ IMAGINE software was followed to realize the objectives. Results point to a significant increase in the spatial extent of waterlogged areas. Seasonally waterlogged areas increased from 29330 ha to 33421 ha and permanent waterlogged areas from 10870 ha to 12973 ha during the period 1988–89 to 1999–2000. Methodology and results are discussed in detail.

Morphostructural prognostication of kimberlites in parts of eastern dharwar craton: Inferences from remote sensing and gravity signatures

The varied nature of geophysical signatures encountered in the identification of blocks with favorable setting for emplacement of kimberlites, the major geological hosts of diamonds, has resulted in the development of different criteria for their prognostication. This paper attempts to bring out the association of domal morpho-structural features with kimberlite occurrences. From analysis of an IRS-ID LISS-III satellite image of the Maddur-Narayanpet-Mahboobnagar-Gadwal-Raichur region (latitudes 16° N to 17°15’ N and longitudes 77° E to 78°15’ E) in the eastern Dharwar craton, the surface morphology and structural configuration were obtained. From observed surface correlation of reported kimberlite occurrences with intersecting lineaments within regions of domal morphology, regions with such configuration were delineated as potential kimberlite bearing zones. Using this observation as a criterion, six potential kimberlite zones were delineated: near Sedam, around Maddur, north of Mahbubnagar, north of Raichur, between Raichur and Gadwal and around Gadwal.

Characterization of biophysical land units using remote sensing and gis

In the present study, an attempt has been made to characterize the biophysical land units in Kanholi bara river basin of sub-humid tropical ecosystem of central India using remotely sensed data, field surveys and GIS based multi-criteria overlay analysis. The geo-spatial database on elevation, slope, landforms, soil depth, soil erosion, land use/land cover and hydrogeomorphological parameters has been generated using IRS-ID LISS-III satellite data coupled with soil survey data in GIS. The methodology followed in characterization of biophysical land units in GIS includes assigning scores for different classes of the layers and weighatges for different layers based on their characteristics and degree of influence on desired output. GIS based ‘multi criteria overlay’ analysis reveals seventeen distinct biophysical land units in the river basin. Severe (50.5-59.5) to very severe (59.5) biophysical stress units are found in plateau spurs, isolated mounds, linear ridges, dissected plateau and escarpments. These zones are associated with severe to very severe erosion, steep to very steep, extremely shallow soils, poor to very poor groundwater prospects, wastelands and scrublands. The characterization of biophysical land units helps in analysis of their potentials, problems and stress environment to plan and execute site-specific landscape management practices and maximize the productivity from each biophysical land unit. The present study demonstrates that generation of geo-spatial database based on remotely sensed data and field surveys in GIS and their analysis helps great extent in characterization of biophysical land units and analysis of their stress environment for management.

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.

Landscape analysis for pedo-geomorphological characterization in part of basaltic terrain, central India using remote sensing and GIS

In the present study, an attempt has been made to analyse IRS-ID LISS-III satellite data in conjunction with field observations for geomorphological mapping and pedo-geomorphological characterisation in Mohgaon area of Nagpur district, Maharashtra. Analysis of satellite data reveals distint geomorphological units viz., plateau top, isolated mounds, linear ridges, escarpments, plateau spurs, subdued plateau, rolling plains, pediments, narrow valleys and main valley floor. Soil profiles, studied on different identified landforms, showed variation in site and morphological charactaristics. Moderate soil erosion occurs on plateau top, isolated mouds, plateau spurs, rollinmg plains and pediments. Severe erosion was identified on escarpments and subdued plateau and narrow valleys suffer very slight erosional hazards. Moderately well drained soils were found on rolling plains, pediments, narrow valleys and main valley floor. Well drained soils were noticed on plateau top and plateau spurs. Very shallow soils were found on the plateau top and isolated mounds. Shallow soils are found in linear ridges, escarpments, plateau spurs and rolling plains. Moderately deep and deep soils are found on subdued plateau, pediments and main valley floor. The landform-soil relatioinship reveals that the soils on the plateau top and isolated mounds are very shallow, well drained, clay textured. The soils on the narrow valleys and main valley floor are deep, moderatly well drained, and clayey in texture. It also indicates that landform-soil processes are governed by physiographic position, drainage, slope and erosion conditions of the area. The present study reveals that the analysis of remotely sensed data in conjunction with field observations in GIS will be of immense help in geomorphology mapping, analysis of landform-soil relationships and generation of their geo-spatial database.

Structural inferences from satellite image in and around Gadag, in the Dharwar Craton.

The geological interest of the Dharwar craton in the Precambrian Indian peninsular shield stems from its complexity. A satellite image (IRS-ID LISS-III) of an area of approximately 12,000 sq km corresponding to the region in and around Gadag in the Dharwar craton, was analyzed to determine the geological/structural configuration of the region. The disposition of schist belts, shear zones, and various faults and other lineaments in the region were delineated. The findings are significant in view of the paucity of structural data in the region and form a geo-structural database based on which ground surveys can be planned.

Use of Remote Sensing and Geographical Information System in the delineation and characterization of ground water prospect zones

The present study was carried out to delineate and characterize ground water prospect zones using IRS-ID LISS-III geocoded data on 1:50,000 scale. The information on lithology, structure, geomorphology and hydrology were generated and integrated to prepare ground water prospect map for a region in western Rajasthan. The information on nature and type of aquifer, type of wells, depth range, yield range, success rate and sustainability were supplemented to form a good database for identification of favourable zone. Geographical Information system (GIS) was used to prepare database on the above layers, analysis of relationship and integrated map preparation. The study area has a complex geomorphology. The geology is dominated by rocks of post Delhi Intrusive and Quaternary sediments. On the basis of hydrogeology and geomorphic characteristics, four categories of ground water prospect zones: high, moderate, low and very low ere delineated. The high prospect zones are alluvial plains and valley fills mainly influenced by quaternary formations with yield expectation between 100-200 lpm. The moderate zone has pediment surfaces covered by shallow soil cover in addition to weathered and fractured aquifer material with expected yield of water between 50-100 lpm. The low potential zones mainly comprise inselbergs and rocky surface with expected discharge below 50 lpm. The very low prospect zones act as run-off generating zones.

Investigation of erosion on Hope Island using IRS-1D LISS-III data

Hope Island is a long spit formed in Kakinada Bay, India. It acts as a barrier to direct sea currents thus protecting Kakinada town, port and mangroves along the coast. Erosion was noticed at one section of the Island on visual interpretation of IRS-ID LISS-III imagery. In the absence of sea depth data it was difficult to analyse the extent of erosion along the height of the Island above the seabed. Remote sensing based bathymetric estimates were made and used to investigate the erosion problem at selected locations. The work considered the use of remote sensing for determining three-dimensional coastal erosion along slopes of Hope Island.