Lithology and Structural Mapping of Kadavur Basin, Tamil Nadu, India, Using IRS P6 LISS III Satellite Data

2019 ◽  
Vol 47 (8) ◽  
pp. 1275-1286 ◽  
Author(s):  
S. Uma Maheswaran ◽  
S. Anbazhagan ◽  
K. Tamilarasan ◽  
C. Kasilingam ◽  
M. Chinnamuthu
2011 ◽  
Vol 4 ◽  
pp. 33-42 ◽  
Author(s):  
C Sudhakar Reddy ◽  
P Hari Krishna ◽  
V Swetha ◽  
T Shivakala ◽  
Prabhu D Charan

Knowledge of changes in wetlands is becoming a very important issue for sustainable management of natural resources. The present work has been carried out: in Keoladeo Ghana National Park (KNP), a RAMSAR site to study the dynamics of wetlands with reference to long-term and seasonal changes in extent of water spread, vegetation types and to build a spatial database on wetlands. Multi-temporal satellite data of Landsat MSS (1977), Landsat TM data (1989), IRS P6 AWIFS (2005) and IRS P6 LISS III data (2005-2006) was used for mapping and spatial analysis. Comparisons between 1977 and 2005 indicated that changes in overall wetland areas were significant. The total area of wetland in March 1977 was 186 hectares and in March 2005 it was found to be 7.5 ha. There is a drastic reduction in spatial extent of water spread from October to May and results indicated that the total area ranged from 528 ha (October 2005) to 7.5 ha (March-May 2005). The study clearly points that Geoinformatics have become very effective tool for wetlands mapping and monitoring. Key words: wetlands; geoinformatics; satellite data; Keoladeo; RajasthanDOI: 10.3126/jowe.v4i0.3115Journal of Wetlands Ecology, (2010) Vol. 4, pp 33-42


2011 ◽  
Author(s):  
Amit Singh ◽  
Anita Mukherjee ◽  
Bhoop Singh ◽  
Saumitra Mukherjee ◽  
Satyanarayan Shashtri ◽  
...  

2019 ◽  
Vol 8 (2) ◽  
pp. 3753-3755

The district Gurugram in the state Haryana has seen significant extension & development during the last few years. In this paper, the change in land-use/cover has been estimated with time range of 2007 - 2017 and the change detection was quantified. The land-use/cover data generated through satellite imagery has been classified into five major classes i.e., (i) Built-up land (ii) Water Bodies (iii) Barren Land (iv) Agricultural Land (v) Vegetation. The investigation was helped out through Geoinformatics approach by using IRS-P6- LISS-III sensor of 2007 and IRS-P6-LISS-IV sensor of 2017. Observing of land-use/spread mirrored that changes were more noteworthy in degree over the time range of 10 years in the land under various classes. The most sensational changes are the increase in built-up land and barren land. Apart from this decrease in agricultural, water bodies and vegetation cover area also. Results demonstrates an expansive change in the territory of various land use classifications amid the period from 2007 to 2017.The agriculture land covering an area of about 55.27% in 2007 reduced to 43.42% in 2017. The built up area increased from 15.97 % in 2007 to 30.23 in 2017. The barren land area increased from 6.45 % in 2007 to 16.97 in 2017 The Water bodies decreased from 4.65 % in 2007 to 1.05 % in 2017. The vegetation area has also decreased from 17.66 % in 2007 to 8.33 % in 2017. Urban extension and various anthropogenic exercises have brought genuine misfortunes of agricultural land, vegetation and water bodies.


2010 ◽  
Vol 177 (1-4) ◽  
pp. 575-592 ◽  
Author(s):  
A. M. Sheela ◽  
J. Letha ◽  
Sabu Joseph ◽  
K. K. Ramachandran ◽  
Sanalkumar S. P.

2019 ◽  
Vol 35 (7) ◽  
pp. 759-780 ◽  
Author(s):  
Sujit Kumar Jally ◽  
Akhila Kumar Mishra ◽  
Sachikanta Balabantaray

Sign in / Sign up

Export Citation Format

Share Document