@article{jain_delineation_2005,
	title = {Delineation of {Flood}-{Prone} {Areas} {Using} {Remote} {Sensing} {Techniques}},
	volume = {19},
	issn = {0920-4741, 1573-1650},
	url = {http://link.springer.com/article/10.1007/s11269-005-3281-5},
	doi = {10.1007/s11269-005-3281-5},
	abstract = {Flood problems resulting due to heavy rainfall and drainage congestion are being regularly experienced in plain areas of Bihar, India. Due to this problem, power plant located in Koa catchment, Kahalgaon, Bihar, is faces huge loss at the time of flood. In this paper, the flood-affected areas in Koa catchment have been mapped using remote sensing satellite data (IRS LISS III, 1999 and Landsat TM, 1995). A range of image processing techniques has been used, including simple density slicing, Tasseled Cap Transformation and water-specific index. The results obtained using different approaches have been analysed. Result indicates that a Normalized Difference Water Index (NDWI) based approach produced best results.},
	language = {en},
	number = {4},
	urldate = {2015-11-03TZ},
	journal = {Water Resources Management},
	author = {Jain, Sanjay K. and Singh, R. D. and Jain, M. K. and Lohani, A. K.},
	month = aug,
	year = {2005},
	keywords = {Civil Engineering, Environment, general, Geotechnical Engineering, Hydrogeology, Meteorology/Climatology, Remote sensing, catchment, flood, rainfall, water},
	pages = {333--347}
}

{"_id":"fWMLFKp3pyP5TvTmg","bibbaseid":"jain-singh-jain-lohani-delineationoffloodproneareasusingremotesensingtechniques-2005","downloads":0,"creationDate":"2018-12-26T15:07:42.233Z","title":"Delineation of Flood-Prone Areas Using Remote Sensing Techniques","author_short":["Jain, S. K.","Singh, R. D.","Jain, M. K.","Lohani, A. K."],"year":2005,"bibtype":"article","biburl":"https://bibbase.org/zotero/shahinoor","bibdata":{"bibtype":"article","type":"article","title":"Delineation of Flood-Prone Areas Using Remote Sensing Techniques","volume":"19","issn":"0920-4741, 1573-1650","url":"http://link.springer.com/article/10.1007/s11269-005-3281-5","doi":"10.1007/s11269-005-3281-5","abstract":"Flood problems resulting due to heavy rainfall and drainage congestion are being regularly experienced in plain areas of Bihar, India. Due to this problem, power plant located in Koa catchment, Kahalgaon, Bihar, is faces huge loss at the time of flood. In this paper, the flood-affected areas in Koa catchment have been mapped using remote sensing satellite data (IRS LISS III, 1999 and Landsat TM, 1995). A range of image processing techniques has been used, including simple density slicing, Tasseled Cap Transformation and water-specific index. The results obtained using different approaches have been analysed. Result indicates that a Normalized Difference Water Index (NDWI) based approach produced best results.","language":"en","number":"4","urldate":"2015-11-03TZ","journal":"Water Resources Management","author":[{"propositions":[],"lastnames":["Jain"],"firstnames":["Sanjay","K."],"suffixes":[]},{"propositions":[],"lastnames":["Singh"],"firstnames":["R.","D."],"suffixes":[]},{"propositions":[],"lastnames":["Jain"],"firstnames":["M.","K."],"suffixes":[]},{"propositions":[],"lastnames":["Lohani"],"firstnames":["A.","K."],"suffixes":[]}],"month":"August","year":"2005","keywords":"Civil Engineering, Environment, general, Geotechnical Engineering, Hydrogeology, Meteorology/Climatology, Remote sensing, catchment, flood, rainfall, water","pages":"333–347","bibtex":"@article{jain_delineation_2005,\n\ttitle = {Delineation of {Flood}-{Prone} {Areas} {Using} {Remote} {Sensing} {Techniques}},\n\tvolume = {19},\n\tissn = {0920-4741, 1573-1650},\n\turl = {http://link.springer.com/article/10.1007/s11269-005-3281-5},\n\tdoi = {10.1007/s11269-005-3281-5},\n\tabstract = {Flood problems resulting due to heavy rainfall and drainage congestion are being regularly experienced in plain areas of Bihar, India. Due to this problem, power plant located in Koa catchment, Kahalgaon, Bihar, is faces huge loss at the time of flood. In this paper, the flood-affected areas in Koa catchment have been mapped using remote sensing satellite data (IRS LISS III, 1999 and Landsat TM, 1995). A range of image processing techniques has been used, including simple density slicing, Tasseled Cap Transformation and water-specific index. The results obtained using different approaches have been analysed. Result indicates that a Normalized Difference Water Index (NDWI) based approach produced best results.},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2015-11-03TZ},\n\tjournal = {Water Resources Management},\n\tauthor = {Jain, Sanjay K. and Singh, R. D. and Jain, M. K. and Lohani, A. K.},\n\tmonth = aug,\n\tyear = {2005},\n\tkeywords = {Civil Engineering, Environment, general, Geotechnical Engineering, Hydrogeology, Meteorology/Climatology, Remote sensing, catchment, flood, rainfall, water},\n\tpages = {333--347}\n}\n\n","author_short":["Jain, S. K.","Singh, R. D.","Jain, M. K.","Lohani, A. K."],"key":"jain_delineation_2005","id":"jain_delineation_2005","bibbaseid":"jain-singh-jain-lohani-delineationoffloodproneareasusingremotesensingtechniques-2005","role":"author","urls":{"Paper":"http://link.springer.com/article/10.1007/s11269-005-3281-5"},"keyword":["Civil Engineering","Environment","general","Geotechnical Engineering","Hydrogeology","Meteorology/Climatology","Remote sensing","catchment","flood","rainfall","water"],"downloads":0,"html":""},"search_terms":["delineation","flood","prone","areas","using","remote","sensing","techniques","jain","singh","jain","lohani"],"keywords":["civil engineering","environment","general","geotechnical engineering","hydrogeology","meteorology/climatology","remote sensing","catchment","flood","rainfall","water"],"authorIDs":[],"dataSources":["bdbZxt8yLzFQroy43"]}