Extraction of lineaments from different azimuth angles using geospatial techniques: a case study of Pravara basin, Maharashtra, India

Das, Sumit; Pardeshi, Sudhakar D.; Kulkarni, Pallavi; Doke, Arjun

doi:10.1007/s12517-018-3522-6

Cited by 69 publications

(30 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Das and Pardeshi (2018b) demonstrated that Cartosat DEM provides a highly detailed shaded relief map which provides higher surface information compared to the SRTM and ASTER DEM. Therefore, shaded relief maps of eight different azimuth angles were developed from Cartosat DEM in order to extract the lineaments of the Pravara basin (Das et al 2018). All the physical linear features were traced manually from the hill-shaded map.…”

Section: Geospatial Database Preparationmentioning

confidence: 99%

“…Lineaments are basically the weakness of topography such as joints, cracks, faults and shears. In hard-rock lithology due to lower porosity of terrain, groundwater potentiality generally depends on other structural features (Kumanan and Ramasamy 2003;Avtar et al 2011b;Singh et al 2011b;Das and Pardeshi 2018b;Das et al 2018). Hence, lineaments play a fundamental role in groundwater potential as the structural weakness increases the infiltration capacity.…”

Section: Lineament Densitymentioning

confidence: 99%

“…Therefore, researchers are highly interested towards mapping the different potential areas for groundwater. The availability of groundwater depends on several factors such as geology, geomorphology, slope, soil texture, drainage density, lineament concentration, rainfall and land use of an area (Sander et al 1996;Nag 2005;Sener et al 2005;Solomon and Quiel 2006;Ganapuram et al 2009;Singh et al 2011b;Magesh et al 2012;Mukherjee et al 2012;Das et al 2017Das et al , 2018Das and Pardeshi 2018b). Hence, a sincere assessment of these parameters can provide a clear understanding regarding the groundwater potential of a region.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Currently, remote sensing and GIS techniques play a crucial role in the assessment of Earth's natural resources (Das et al 2018). These techniques are highly cost-effective and less time-consuming to understand the groundwater potential of a region (Murthy 2000;Leblanc et al 2003;Jha and Peiffer 2006;Prasad et al 2008;Pradhan 2009;Arkoprovo et al 2012;Manap et al 2013;Mallick et al 2015;Rahmati et al 2015;Das et al 2017); the main reason is the availability of satellite data which make the analysis easier (Ganapuram et al 2009) compared to the traditional techniques such as ground drilling, geophysical assessment of lineaments and field observations (Das et al 2017(Das et al , 2018Das and Pardeshi 2018b). Integration of different environmental factors to delineate groundwater potential zone gave satisfactory results of many previous works (Krishnamurthy et al 1996;Rao and Jugran 2003;Lokesha et al 2005;Khan et al 2006;Solomon and Quiel 2006;Avtar et al 2010;Dar et al 2010;Jha et al 2010;Elewa and Qaddah 2011;Magesh et al 2012;Bagyaraj et al 2013;Rahmati et al 2015;Kirubakaran et al 2016;Roy and Sahu 2016;Tahmassebipoor et al 2016;Das et al 2017).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India

2018

Self Cite

View full text Add to dashboard Cite

In the present days, remote sensing and geographic information system (GIS) techniques are comprehensive tools for the assessment of water resource, its management and conservation. In this study, remote sensing and GIS techniques are taken into consideration for zonation of different groundwater prospects of Pravara basin. Several contributing factors in which groundwater potential of an area entirely or partially depends such as lithology, geomorphology, slope, soil, lineament density, drainage density, land use and rainfall are assessed individually as well as together for making the different groundwater prospect maps through influencing factor (IF) and frequency ratio (FR) techniques. In ArcGIS software, all these thematic layers are prepared using different satellite imageries and conventional data sets, obtained from different sources. All these layers are transformed into high-resolution raster format and meshed together in GIS environment using IF and FR methods. Groundwater prospect maps are constructed as a result of overlay analysis. Based on the constructed map of groundwater prospect zones, as a result of this study, the study area is divided into five categories of different groundwater potential zones: very high, high, moderate, low and very low. Validation of the resultant maps has shown that frequency ratio technique is having higher accuracy (AUC = 73%) compared to the influencing factors (AUC = 69%). The present study of groundwater zonation provides a simple and less time-consuming technique; also, the results can directly be used for planning and sustainable management in Pravara basin.

show abstract

Section: Geospatial Database Preparationmentioning

confidence: 99%

Section: Lineament Densitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India

2018

Self Cite

View full text Add to dashboard Cite

show abstract

Integration of Landsat 8, gravity, and field data for exploration of gold mineralization in Gamba District, Northern Cameroon

et al. 2021

View full text Add to dashboard Cite

Remote sensing is a robust and useful tool for providing high‐resolution image data and enabling reliable geological mapping during the initial stage of mineral exploration. One of its main applications is the extraction of lineaments and to locate alteration areas to target gold exploration. It has been long used in the Pan‐African belt of Cameroon to identify a hydrothermal alteration and a great number of lineaments associated with mineralizations. The study area located in the Pan‐African belt hosts numerous alluvial gold deposits where the primary mineralization was still largely poorly unknown until now, due to deep weathering. Therefore, remote sensing combined with field data is useful for targeting potential zones of primary gold resources involved in the hydrothermal and lineament systems. In this study, remote sensing data from Landsat 8 imagery were selected to map the distribution of hydrothermal minerals, and gravity data were interpreted for highlighting structural patterns related to the control of high‐potential zone for gold mineralization, generating a mineral prospect map. The lineaments network shows directions ranging from ENE‐WSW to E‐W, with main direction N45° and a secondary striking N275°. Image enhancement/processing techniques included the application of band ratio and principal component analysis that were helpful to demarcate potential alteration zones marked by iron oxide/hydroxides in which haematite and pyrite are used as proximal alterations and hydroxyl‐bearing minerals in which sericite (muscovite) is used as a marker of proximal alteration, while chlorite, epidote, biotite, quartz, and calcite are used as distal alteration zone, as described by field and petrographic data. The identified alteration zones display a high consistency with the known locations of gold occurrences (mining sites) and closely concordant with large‐scale gold mineralization in the study area. This study presents an integrated approach of Landsat 8 imagery with gravity data and field data for discovering primary mineral resources in a deep weathering area.

show abstract

Landscape Characterization using Geomorphometric Parameters for a Small Sub-Humid River Basin of the Chota Nagpur Plateau, Eastern India

Mukherjee

Patel

2022

Geography of the Physical Environment

View full text Add to dashboard Cite

Extraction of lineaments from different azimuth angles using geospatial techniques: a case study of Pravara basin, Maharashtra, India

Cited by 69 publications

References 40 publications

Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India

Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India

Integration of Landsat 8, gravity, and field data for exploration of gold mineralization in Gamba District, Northern Cameroon

Landscape Characterization using Geomorphometric Parameters for a Small Sub-Humid River Basin of the Chota Nagpur Plateau, Eastern India

Contact Info

Product

Resources

About