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Ghosh, Dipanwita
- Development of A Model for Detection of Saline Blanks Amongst Mangrove Species on Hyperspectral Image Data
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Authors
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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.Full Text
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.