Refine your search
Collections
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Chakravortty, Somdatta
- Measuring the Impacts of Land Use on Water Quality Influenced by Non-Point Sources
Abstract Views :246 |
PDF Views:88
Authors
Affiliations
1 Formerly at Department of Metallurgical Engineering, Colorado School of Mines, US
2 Department of Applied Geology and Environment Systems Management, Presidency University, Kolkata 700 073, IN
3 Department of Computer Science and Engineering and Information Technology, Government College of Engineering and Ceramic Technology, Kolkata 700 010, IN
1 Formerly at Department of Metallurgical Engineering, Colorado School of Mines, US
2 Department of Applied Geology and Environment Systems Management, Presidency University, Kolkata 700 073, IN
3 Department of Computer Science and Engineering and Information Technology, Government College of Engineering and Ceramic Technology, Kolkata 700 010, IN
Source
Current Science, Vol 107, No 10 (2014), Pagination: 1719-1725Abstract
The objective of this study is to (a) test the proposition that the variance of water quality from undefined sources is a function of land use within the watershed, and (b) examine the premise that the impact of land use near the stream is more important than that far away from the stream in affecting the water quality from non-point sources. Results obtained using this approach support both these hypotheses. Moreover, these tests suggest the importance of considering the means by which chemical elements are delivered to the streams. Nitrate-nitrogen and phosphorus can probably be intercepted by different means because of their varying delivery systems. Nitrate-nitrogen can be intercepted by removal of fast-growing floodplain crops and phosphorus by sediment barriers at sites outside the floodplain. Further evidences suggest that reservoir trap-efficiency is considerably important in improving the downstream water quality as the former entraps clay nanominerals (with adsorbed particulates of phosphorus) that are found to be responsible for the fate and transport of phosphorus. The methodology of analysis of stream loads is ordinary least square regression analysis. Stream loads of nitratenitrogen and total phosphorus have been studied as a function of land use.Keywords
Land Use, Non-Point Source, Nitratenitrogen, Phosphorus, Water Quality.- Development of Higher-Order Model for Nonlinear Interactions in Hyperspectral Data of Mangrove Forests
Abstract Views :233 |
PDF Views:87
Authors
Affiliations
1 Department of Information Technology, Government College of Engineering and Ceramic Technology, Kolkata 700 010, IN
2 Department of Computer Science and Engineering, Calcutta University, Kolkata 700 098, IN
1 Department of Information Technology, Government College of Engineering and Ceramic Technology, Kolkata 700 010, IN
2 Department of Computer Science and Engineering, Calcutta University, Kolkata 700 098, IN
Source
Current Science, Vol 111, No 6 (2016), Pagination: 1055-1062Abstract
The present article analyses the accuracy of application of higher-order nonlinear interaction models on hyperspectral data to identify mangrove mixtures present in the Sunderbans Delta - a World Heritage Site in West Bengal, India. It is observed that intra-species interaction between similar mangrove species (interaction between the same type of end-members) in a homogeneous mangrove stand is more accurately modelled by the linear-quadratic model and hence results in more accurate fractional abundance estimations after unmixing when compared with linear-unmixing models. Specifically, we observe that quadratic models provide more accurate estimates than linear and bilinear models for the study area (Henry Island of Sunderbans), which is mostly dominated by pure and mixed mangrove species of Avicennia marina, Excoecaria agallocha, Avicennia alba, Phoenix paludosa, Avicennia officinalis, Ceriops decandra, Bruguiera cylindrica and Aegialitis. In this study, the quadratic nonlinear model successfully characterizes the interaction of endmember mixtures comprising E. agallocha, A. officinalis, B. cylindrica and A. alba in the study area.Keywords
Higher-Order Interaction Models, Hyperspectral Data, Mangrove Species, Nonlinear Interactions.- Development of A Model for Detection of Saline Blanks Amongst Mangrove Species on Hyperspectral Image Data
Abstract Views :209 |
PDF Views:86
Authors
Affiliations
1 Department of Information Technology, Government College of Engineering and Ceramic Technology, Kolkata - 700 010, IN
1 Department of Information Technology, Government College of Engineering and Ceramic Technology, Kolkata - 700 010, IN
Source
Current Science, Vol 115, No 3 (2018), Pagination: 541-548Abstract
In this study we apply hyperspectral imagery to identify saline blank patterns within the mixed mangrove forest of Sunderban Bio-geographic Province, West Bengal, India. We use derivative analysis to identify hyperspectral wavelengths that are sensitive to the presence of minerals comprising saline blanks. These wavelengths have been considered for development of a novel saline blank identification model. The wavelength showing derivative value with maximum absorption in the SWIR region at 1780 nm and maximum reflection in the red region at 690 nm has been extracted for development of saline blank index. This index has been compared with the existing salinity indices and a detailed analysis has been carried out. It is found that the index outperforms existing salinity indices – normalized differential salinity index and salinity index, and accurately detects the saline blank areas of Henry Island of the Sunderbans Delta. The accuracy of pixels identified as saline blank pixels has been assessed by comparing the overall accuracy with other existing indices. Physical sampling has also been carried out and the salinity results have been compared with the image-derived results.Keywords
Saline Blanks, Hyperspectral Data, Mangroves, Derivative Analysis.References
- Schmid, T., Koch, M. and Gumuzzio, J., Applications of Hyper-spectral. Remote Sensing of Soil Salinization: Impact on Land Manage., 2008, p. 113.
- Barik, J. and Chowdhury, S., True mangrove species of Sundarbans delta, West Bengal, eastern India. Check List, 2014, 10(2), 329–334.
- Samanta, K. and Hazra, S., Landuse/landcover change study of Jharkhali Island, Sundarbans, West Bengal using remote sensing and GIS. Int. J. Geomatics Geosci., 2012, 3(2), 299.
- Ghosh, M. K., Kumar, L. and Roy, C., Mapping long-term changes in mangrove species composition and distribution in the Sundarbans. Forests, 2016, 7(12), 305.
- Nayak, S. and Bahuguna, A., Application of remote sensing data to monitor mangroves and other coastal vegetation of India. Indian J. Geo-Mar. Sci., 2001, 30(4), 195–213.
- Hazra, S., Ghosh, T., Das Gupta, R. and Sen, G., Sea level and associated changes in the Sundarbans. Sci. Cult., 2002, 68(9/12), 309–321.
- Hazra, S. and Samanta, K., Temporal Change Detection (2001–2008): Study of Sundarban, 2016, No. id: 10526.
- Danda, A. A., Sriskanthan, G., Ghosh, A., Bandyopadhyay, J. and Hazra, S., Indian Sundarbans delta: a vision. World Wide Fund for Nature, New Delhi, 2011.
- Mukhopadhyay, A., Dasgupta, R., Hazra, S. and Mitra, D., Coastal hazards and vulnerability: a review. Int. J. Geol., Earth Environ. Sci., 2012, 2(1), 57–69.
- Dehaan, R. and Taylor, G. R., Image-derived spectral endmembers as indicators of salinisation. Int. J. Remote Sensing, 2003, 24(4), 775–794.
- Singh, R. P. and Sirohi, A., Spectral reflectance properties of different types of soil surfaces. ISPRS J. Photogramm. Remote Sensing, 1994, 49(4), 34–40; http://dx.doi.org/10.1016/09242716(94)90045-0.
- Fernandez-Buces, N., Siebe, C., Cram, S. and Palacio, J. L., Mapping soil salinity using a combined spectral response index for bare soil and vegetation: a case study in the former Lake Texcoco, Mexico. J. Arid Environ., 2006, 65(4), 644–667.
- Ben-Dor, E., Patkin, K., Banin, A. and Karnieli, A., Mapping of several soil properties using DAIS-7915 hyperspectral scanner data – a case study over clayey soils in Israel. Int. J. Remote Sensing, 2002, 23(6), 1043–1062.
- An, D., Gengxing, Z., Chunyan, C., Zhuoran, W., Ping, L., Tongrui, Z. and Jichao, J., Hyperspectral field estimation and remote-sensing inversion of salt content in coastal saline soils of the Yellow River Delta. Int. J. Remote Sensing, 2016, 37(2), 455– 470.
- Baldridge, A. M., Hook, S. J., Grove, C. I. and Rivera, G., The ASTER Spectral Library Version 2.0. Remote Sensing Environ., 2009, 113(4), 711–715.
- Narmada, K., Gobinath, K. and Bhaskaran, G., Monitoring and evaluation of soil salinity in terms of spectral response using geoinformatics in cuddalore environs. Int. J. Geomat. Geosci., 2002, 5(4), 536.
- Allbed, A. and Lalit Kumar, Soil salinity mapping and monitoring in arid and semi-arid regions using remote sensing technology: a review. Adv. Remote Sensing, 2013, 2(4), 373.
- Ondrasek, G., Zed, R. and Szilvia, V., Soil salinisation and salt stress in crop production. In Abiotic Stress in Plants – Mechanisms and Adaptations, 2011.
- Generation of Sub-Pixel-Level Maps for Mixed Pixels in Hyperspectral Image Data
Abstract Views :151 |
PDF Views:91
Authors
Affiliations
1 Maulana Abul Kalam Azad University of Technology, Haringhata, Nadia 721 249, IN
1 Maulana Abul Kalam Azad University of Technology, Haringhata, Nadia 721 249, IN