Using GIS to map impacts upon agriculture from extreme floods in Vietnam

Chau, Vu Ngoc; Holland, John; Cassells, Sue; Tuohy, M. P.

doi:10.1016/j.apgeog.2013.03.014

Cited by 104 publications

(58 citation statements)

References 14 publications

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“…This being the case, an extreme flood event can be simply characterized as a flood event with a small probability of occurrence, but with a significant impact on human society in terms of general damage, human casualties and overall social disruption. Taking into account all of these considerations, four types of flood events can be generally characterized as extreme flood events, including: (1) dam-break floods (Duffaut 2013;Bergman et al 2014;Raška and Emmer 2014), (2) storm surges (Chau et al 2013;Breilh et al 2014;Androulidakis et al 2015), (3) flash floods (Moussa and Bocquillon 2009;Martínez Ibarra 2012;Foulds et al 2014;Amengual et al 2015;Kvočka et al 2015), and (4) extreme/large river floods (Zhi-Yong et al 2013;Bruwier et al 2015;Herget et al 2015;Schröter et al 2015;Antico et al 2016). Among these types of extreme flood events, flash floods and large river floods are the most common and generally the most serious extreme events (Ashley and Ashley 2008;Di Baldassarre et al 2010), which pose the greatest flood risk to the general population.…”

Section: Introductionmentioning

confidence: 99%

Flood hazard assessment for extreme flood events

2016

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Climate change is expected to result in an increase in the frequency and intensity of extreme weather events. In turn, this will result in more frequent occurrences of extreme flood events, such as flash flooding and large-scale river flooding. This being the case, there is a need for more accurate flood risk assessment schemes, particularly in areas prone to extreme flooding. This study investigates what type of flood hazard assessment methods should be used for assessing the flood hazard to people caused by extreme flooding. Two flood hazard assessment criteria were tested, namely: a widely used, empirically derived method, and recently introduced, physically based and experimentally calibrated method. The two selected flood hazard assessment methods were: (1) validated against experimental data, and (2) used to assess flood hazard indices for two different extreme flood events, namely: the 2010 Kostanjevica na Krki extreme river flood and the 2007 Ž elezniki flash flood. The results obtained in this study suggest that in the areas prone to extreme flooding, the flood hazard indices should be based on using the formulae derived for a mechanics-based analysis, as these formulations consider all of the physical forces acting on a human body in floodwaters, take into account the rapid changes in the flow regime, which often occur for extreme flood events, and enable a rapid assessment of the degree of flood hazard risk in a short time period, a feature particularly important when assessing flood hazard indices for high Froude numbers flows.

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Section: Introductionmentioning

confidence: 99%

Flood hazard assessment for extreme flood events

2016

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“…Under the effects of the tropical climate, there are many typhoons occurring in rainy seasons, resulting in a variety of long-lasting flood events along the Mekong river basin in history. The downside of flood disasters is that it resulted in serious negative effects on the psychology of local residents, food security, the environment, and the regional economy [2][3][4][5][6][7][8]. Flood events, on the contrary, play a vital role in agriculture by transporting and providing a huge amount of silt and fertilized sediment to feed the agricultural land in inundated areas [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data

Dao

Liou

2015

Remote Sensing

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Cambodia is one of the most flood-prone countries in Southeast Asia. It is geographically situated in the downstream region of the Mekong River with a lowland floodplain in the middle, surrounded by plateaus and high mountains. It usually experiences devastating floods induced by an overwhelming concentration of rainfall water over the Tonle Sap Lake's and Mekong River's banks during monsoon seasons. Flood damage assessment in the rice ecosystem plays an important role in this region as local residents rely heavily on agricultural production. This study introduced an object-based approach to flood mapping and affected rice field estimation in central Cambodia. In this approach, image segmentation processing was conducted with optimal scale parameter estimation based on the variation of objects' local variances. The inundated area was identified by using Landsat 8 images with an overall accuracy of higher than 95% compared to those derived from finer spatial resolution images. Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation index products were utilized to identify the paddy rice field based on seasonal inter-variation between vegetation and water index during the transplanting stage. The rice classification result was well correlated with the statistical data at a commune level (R 2 = 0.675). The flood mapping and affected rice estimation results are useful to provide local governments with valuable information for flooding mitigation and post-flooding compensation and restoration.

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“…There are several examples of the use of remote sensing and spatial data to assess post-event impact [7][8][9]. Chau et al, [9] assessed the potential impacts of extreme floods on agriculture in Vietnam by overlaying historical flood inundation maps (produced from flood depth markers recorded for each past flood event) and land use maps.…”

Section: Remote Sensing As a Source Of Unbiased And Timely Informatiomentioning

confidence: 99%

“…Chau et al, [9] assessed the potential impacts of extreme floods on agriculture in Vietnam by overlaying historical flood inundation maps (produced from flood depth markers recorded for each past flood event) and land use maps. This form of assessment results in risk maps that evaluate the potential impact on natural resources, which, in turn, aids planning activities.…”

Section: Remote Sensing As a Source Of Unbiased And Timely Informatiomentioning

confidence: 99%

Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan

et al. 2015

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Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical storm related damage. Unbiased and transparent approaches to assess the risk of rice crop damage are essential to support mitigation and disaster response strategies in the region. This study describes and demonstrates a method for rapid, pre-event crop status assessment. The ex-post test case is Typhoon Haiyan and its impact on the rice crop in Leyte Province in the Philippines. A synthetic aperture radar (SAR) derived rice area map was used to delineate the area at risk while crop status at the moment of typhoon landfall was estimated from specific time series analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) data. A spatially explicit indicator of risk of standing crop loss was calculated as the time OPEN ACCESSRemote Sens. 2015, 7 6536 between estimated heading date and typhoon occurrence. Results of the analysis of pre-and post-event SAR images showed that 6500 ha were flooded in northeastern Leyte. This area was also the region most at risk to storm related crop damage due to late establishment of rice. Estimates highlight that about 700 ha of rice (71% of which was in northeastern Leyte) had not reached maturity at the time of the typhoon event and a further 8400 ha (84% of which was in northeastern Leyte) were likely to be not yet harvested. We demonstrated that the proposed approach can provide pre-event, in-season information on the status of rice and other field crops and the risk of damage posed by tropical storms.

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Using GIS to map impacts upon agriculture from extreme floods in Vietnam

Cited by 104 publications

References 14 publications

Flood hazard assessment for extreme flood events

Flood hazard assessment for extreme flood events

Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data

Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan

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