Discrimination of Banded Magnetite Quartzite (BMQ) Deposits and Associated Lithology of Parts of Chikkanayakanahalli Schist Belt of Dharwar Craton, Karnataka, India using Remote Sensing Technique

2015 ◽  
Vol 4 (1) ◽  
pp. 1033-1044
Author(s):  
Basavarajappa H.T. ◽  
◽  
Jeevan L. ◽  
Rajendran S. ◽  
Manjunatha M.C. ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Dharwar Craton ◽  
Schist Belt ◽  
Remote Sensing Technique ◽  
Magnetite Quartzite

Structure and geochronology of Sargur schist belt, Western Dharwar Craton, southern India

2021 ◽  
Author(s):  
Madhusmita Swain ◽  
Sukumari Rekha
Keyword(s):  
Shear Zone ◽  
Granulite Facies ◽  
Dharwar Craton ◽  
Schist Belt ◽  
Rock Types ◽  
Crenulation Cleavage ◽  
Supracrustal Belt ◽  
Magnetite Quartzite ◽  
Moyar Shear Zone ◽  
Granulite Terrain

<p>The Sargur schist belt (SSB) - one of the oldest supracrustal belt (>3.4 Ga) - occurs as discontinuous band along the south-eastern part of Western Dharwar Craton of Indian peninsula. It is a 320 km long belt present in form of lenses, sheets, enclaves, pockets, patches and disrupted layers within the peninsular gneisses, tectonically interleaved, deformed and metamorphosed together with the associated supracrustal rocks (Janardhan et al., 1978; Srikantappa et al., 1984, 1985; Bidyananda and Mitra, 2005; Jayananda et al., 2008). The SSB shows a wide variation in lithology ranging from metapelites, metamafites, metaultramafites, quartzites, calc-silicates etc. with a varying metamorphic grade from greenschist to granulite facies. The major rock types in the study area include garnet-biotite±muscovite±staurolite schist, talc-tremolite-chlorite schist, banded magnetite quartzite, micaceous quartzite, hornblende-biotite±garnet gneiss, amphibolite schist, pyroxene granulites, foliated/deformed granite etc. The fabric in schistose rocks is mainly defined by the shape preferred aggregates of biotite-muscovite (in metapelites) and tremolite-talc-chlorite/amphibole (in metamafites/ultramafites). Whereas the gneissic fabric is defined by the quartzo-feldspathic rich leucocratic layers and biotite-garnet-amphibole-pyroxene rich melanocratic layers.</p><p>In the northern part, the SSB trends roughly N-S but towards the southern part the fabric orientation changes to E-W, whereas the dip is nearly vertical through-out the belt. The belt has undergone at least three phases of deformations. In the northern part the most penetrative fabric is a crenulation cleavage S<sub>1</sub>. The S<sub>1</sub> fabric describes open asymmetric folds having sub-vertical N-S and NNE-SSW axial plane (S<sub>2</sub>). The F<sub>2</sub> fold plunges gentle to moderately towards NNE to SSW. A set of E-W trending shears (S<sub>3</sub>) truncating the S<sub>2</sub> axial zones are zonally developed. In the southern part, as the E-W trending Moyar shear zone approaches, the early fabrics are obliterated or brought into parallelism with the E-W trending penetrative S<sub>3</sub> fabric. U-Th-total Pb dating of texturally controlled metamorphic monazites have yielded mainly two different age peaks at 2.2-2.3Ga and 2.4-2.5Ga with few older ages of ~2.7Ga ages along the northern part while the sample from the southern part (near to the E-W trending Moyar shear zone) gave younger ages ranging from 700-850 Ma and 500-600 Ma.</p><p>From the integration of structural and chronological data the D<sub>2</sub> deformation corresponds to the E-W shortening during the East and West Dharwar Craton accretion is syn- to post-tectonic with respect to the 2.4-2.6 Ga monazite growth. The 700-850 Ma and 500-600 Ma monazite growths post-tectonic with respect to the D<sub>3</sub> deformation indicates that the Neoproterozoic accretionary events affected the whole Southern Granulite Terrain and recrystallize the monazites present in the Moyar shear zone.</p>

Deep learning based remote sensing technique for environmental parameter retrieval and data fusion from physical models

2021 ◽  
Vol 14 (13) ◽  
Author(s):  
Ratna Kumari Vemuri ◽  
Pundru Chandra Shaker Reddy ◽  
B S Puneeth Kumar ◽  
Jayavadivel Ravi ◽  
Sudhir Sharma ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Deep Learning ◽  
Data Fusion ◽  
Environmental Parameter ◽  
Physical Models ◽  
Remote Sensing Technique ◽  
Parameter Retrieval

scholarly journals Emission Performance of LPG Vehicles by Remote Sensing Technique in Hong Kong

2018 ◽  
Author(s):  
Bruce D Organ ◽  
Yuhan Huang ◽  
John Zhou ◽  
Guang Hong ◽  
Yat-Shing Yam ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hong Kong ◽  
Emission Performance ◽  
Remote Sensing Technique
Sign in / Sign up

Export Citation Format

Share Document