Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review

Sanyal, Joy; Lu, Xixi

doi:10.1023/b:nhaz.0000037035.65105.95

Cited by 435 publications

(275 citation statements)

References 53 publications

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“…The field-based methods of recording hydrological parameters on a regular basis during the monsoon season is a difficult task and at times may fail to yield reliable information, particularly when the flood events are extreme. In such cases, the satellite remote sensing technology provides useful information (Sanyal and Lu 2004).…”

Section: Introductionmentioning

confidence: 99%

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Roy

Chakravarthi

et al. 2017

Geomatics, Natural Hazards and Risk

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A multi-criteria analysis (MCA) approach to describe the effective utilization of geospatial techniques for disaster risk reduction at village level in Kopili River Basin (KRB) of Assam State, India is presented. The KRB is chronically flood affected due to seasonal monsoon and rise in water levels of Kopili River. Based on the MCA approach using flood hazard layer derived from the spatio-multi-temporal historic satellite data-sets (comprising of sensors from RISAT-1 SAR, Radarsat SAR and IRS AWiFS), socio-economic data (based on five census variables), infrastructure (road network) and land use vulnerabilities (cropped and uncropped areas), flood risk zones are derived. Our study elucidates that 24,837 ha of crop area spread across 95 villages in the KRB falls in high risk zone, about 39,209 ha distributed in 150 villages falls under moderate-high risk zones and remaining area spread over 162 villages is more or less unaffected. The proposed approach can be applied elsewhere in other river basins to estimate the flood risk so as to mitigate the disaster risk posed by the floods.

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Section: Introductionmentioning

confidence: 99%

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Roy

Chakravarthi

et al. 2017

Geomatics, Natural Hazards and Risk

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“…Examples are the Mississippi flood of 1993 (Brakenridge et al, 1994), the 1996 and 1997 inundations in the Red River Valley (Barber et al, 1996;Wilson and Rashid, 2005), the August 2002 Elbe river flood (Henry et al, 2006), the overflow of the River Thames in 1992 (Horritt et al, 2001), the 2006 event of the River Dee in Wales (Schumann et al, 2009a), the River Mosel flood of 1997 and the 2003 event on the River Alzette floodplain (Schumann et al, 2007). Reviews of the state of the art in flood remote sensing were provided by Smith (1997), Sanyal and Lu (2004) and by Schumann et al (2009b).…”

Section: Introductionmentioning

confidence: 99%

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

Pulvirenti

Pierdicca

Chini

et al. 2011

Nat. Hazards Earth Syst. Sci.

232

140

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Abstract. An algorithm developed to map flooded areas from synthetic aperture radar imagery is presented in this paper. It is conceived to be inserted in the operational flood management system of the Italian Civil Protection and can be used in an almost automatic mode or in an interactive mode, depending on the user's needs. The approach is based on the fuzzy logic that is used to integrate theoretical knowledge about the radar return from inundated areas taken into account by means of three electromagnetic scattering models, with simple hydraulic considerations and contextual information. This integration aims at allowing a user to cope with situations, such as the presence of vegetation in the flooded area, in which inundation mapping from satellite radars represents a difficult task. The algorithm is designed to work with radar data at L, C, and X frequency bands and employs also ancillary data, such as a land cover map and a digital elevation model. The flood mapping procedure is tested on an inundation that occurred in Albania on January 2010 using COSMO-SkyMed very high resolution X-band SAR data.

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“…Flood risk maps can be used to identify the weaknesses in a flood defense system and the patterns of vulnerability of human infrastructure and wildlife habitat. Because of increasing human population density in flood prone areas throughout the world, as well as land use and climate changes that affect flood dynamics, and the combination of these in historically less information rich developing countries, efficient food risk mapping is an increasingly critical task [16]. DEM have been used in various ways to aid flood mapping and modeling [25].…”

Section: Iiiresults and Discussionmentioning

confidence: 99%

“…The main focus in this field revolves around delineation of flood zones and preparation of flood hazard and risk maps for the vulnerable areas [15]. River flooding in the developing countries of Asia is very acute because of their heavy dependence on agriculture but any flood estimation and hazard mapping attempt in this region is handicapped by poor availability of high resolution DEMs [16]. Flood hazard mapping is a vital component for appropriate land use planning in flood prone areas.…”

Section: Introductionmentioning

confidence: 99%

Flood Hazard and Risk Assessment in Chamoli District, Uttarakhand Using Satellite Remote Sensing and GIS Techniques

Bhatt¹,

Sinha²,

Deka³

et al. 2014

IJIRSET

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Flood is a major environmental problem in India as it has devastating effects on life and property. The objective of present study is to delineate and identify flood hazard and risk assessment at landscape level using Landsat satellite data from 1974-2013 in Chamoli District, Uttarakhand, India covering total geographical area of 8030 km2. The study area lies between 30-31° N latitude and 79-80° E longitude. The satellite data was ortho-rectified and the study area was extracted using district boundary. The vegetation type/land use map was prepared using on-screen visual interpretation technique. The multi-flood time series dataset was used for preparation of Digital Elevation Model. Geographical Information System was used for identification of flood prone areas which were classified with zone-wise. A flood frequency map was developed using the multi-date Landsat satellite imagery. The classified vegetation type/land use map from 1974-2013 was overlaid to find out the frequency of the flood. Flood affected areas were classified into very low, low, medium, high, very high and extremely high based on vulnerability to the potential of flood hazard. The areas were further categorized, based on the vulnerability of flood viz; extremely high (6) very high (5), high (4), medium (3), low (2) and very low (1) respectively. The study assigned the scores to each class for further determination of risk zone in various thematic layers such as slope, aspect and elevation. The incorporation of all thematic layers and flood frequency map was generated to prepare flood hazard and risk map using GIS platform. Flood frequency and flood prone areas were calculated using DEM. The vegetation type/land use map was integrated for creation of flood hazard and risk assessment. Based on this analysis the flood risk zones at different levels and intensity in the Chamoli district were prepared. This flood hazard and risk assessment maps will be useful to management and mitigate losses of lives and property from recurrent flood disasters in Chamoli District. This model can also be applied to comparable areas in Himalayas.

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Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review

Cited by 435 publications

References 53 publications

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

Flood Hazard and Risk Assessment in Chamoli District, Uttarakhand Using Satellite Remote Sensing and GIS Techniques

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