Your search found 6 records
1 Amarnath, Giriraj; Rajah, Ameer. 2013. Manual of the Training on Flood Inundation Mapping and Modeling: Case Study of Bangladesh, held at the Bangladesh Space Research and Remote Sensing Organization, Dhaka, Bangladesh, 12 - 16 May 2013. Colombo, Sri Lanka: International Water Management Institute (IWMI). 119p.
(Location: IWMI HQ Call no: e-copy only Record No: H045843)
(5.14 MB)
2 McCartney, Matthew; Pavelic, Paul; Lacombe, Guillaume; Latt, K.; Zan, A. K.; Thein, K.; Douangsavanh, Somphasith; Balasubramanya, Soumya; Rajah, Ameer; Myint, A.; Cho, C.; Johnston, Robyn; Sotoukee, Touleelor. 2013. Water resources assessment of the dry zone of Myanmar: final report for component 1. [Project report of the Livelihoods and Food Security Trust Fund (LIFT) Dry Zone Program] Vientiane, Laos: International Water Management Institute (IWMI); Yangon, Myanmar: National Engineering and Planning Services (EPS). 52p.
(Location: IWMI HQ Call no: e-copy only Record No: H046133)
(3.66 MB)
3 Johnston, Robyn; Rajah, Ameer; Balasubramanya, Soumya; Douangsavanh, Somphasith; Lacombe, Guillaume; McCartney, Matthew; Pavelic, Paul; Senaratna Sellamuttu, Sonali; Sotoukee, Touleelor; Suhardiman, Diana; Joffre, O. 2013. Identifying priority investments in water in Myanmar’s dry zone: final report for component 3. [Project report of the Livelihoods and Food Security Trust Fund (LIFT) Dry Zone Program] Vientiane, Laos: International Water Management Institute (IWMI). 53p.
(Location: IWMI HQ Call no: e-copy only Record No: H046135)
4 Amarnath, Giriraj; Rajah, Ameer; Alahacoon, Niranga; Inada, Yoshiaki; Inoue, R.; Aggarwal, Pramod. 2014. Potential of satellite data in catastrophic flood risk mapping and assessment: case studies from Asia and Africa. In Stal, M.; Sigrist, D.; Ammann, W. (Eds.). Proceedings of the 5th International Disaster and Risk Conference on Integrative Risk Management - The Role of Science, Technology and Practice, Davos, Switzerland, 24 - 28 August 2014. Extended Abstracts. Davos, Switzerland: Global Risk Forum GRF Davos. pp.52-55. pp.52-55.
(Location: IWMI HQ Call no: e-copy only Record No: H046630)
(1.02 MB)
Over last decades, we have witnessed an upward global trend in natural disaster occurrence. Hydrological and meteorological disasters are the main contributors to this pattern. In 2011, hydrological disaster, such as floods and wet mass movements, represented 52% of the overall disaster reported, causing 139.8 million victims and more than U.S. $70 billion in damages. Remote sensing from space plays an important role in flood mapping and flood risk assessment. Satellite images acquired in both optical and microwave range of electro-magnetic emissions are utilized for solving many problems related to flood risk management. This paper presents two different research activities (1) flood detection algorithm which uses vegetation and water indices (NDVI, EVI, LSWI, DVEL) at a spatial resolution of 500m and time period 2000 – 2013 using MODIS Terra/Aqua and JAXA PALSAR satellite to spatially and temporally quantify flood inundation extent at a continental scale in South Asia, Southeast Asia and Nigeria in the context of emergency response and (2) blending satellite data and RADAR (Rapid Agriculture Disaster Assessment Routine) tool for rapid flood damage assessment in agriculture with a case study in Sri Lanka. The results of the present study will provide valuable information to flood policy makers and flood disaster researchers.
(Location: IWMI HQ Call no: e-copy only Record No: H047188)
(1.09 MB)
The paper presents a moderate resolution imaging spectroradiometer (MODIS) time-series imagery-based algorithm for detection and mapping of seasonal and annual changes in flood extent, and tests this using the flooding of the Indus River Basin in 2010 – one of the greatest recent disasters that affected more than 25 million people in Pakistan. The algorithm was applied to produce inundation maps for 10 annual flood seasons over the period from 2000 to 2011. The MODIS flood products were validated in comparison with advanced land observing system (ALOS) sensors, which have both advanced visible and near infrared radiometer and phased array type L-band synthetic images using the flood fraction comparison method. A simple threshold method is created to cluster the data to identify the flood pixels in the imagery. Calculations are then made to estimate a flood area for each resolution. A statistical study is performed to analyze false positive and false negative rates using the ALOS sensors as ‘ground truth’. Comparison of two flood products at a grid size of 10 km resulted in the coefficient of determination range of 0.72–0.97. This research points to a relevant spatial resolution that could be effectively used to obtain accurate mapped products of the extent of the inundated area. The approach can be used to quantify the damage caused by floods.
(Location: IWMI HQ Call no: e-copy only Record No: H047699)
This study looks at the groundwater issues in the dry zone of Sri Lanka and shows how the use of remote sensing with high-resolution images can help in groundwater management. A new approach is developed for automatic extraction of the location of agrowells using high-spatial-resolution satellite imageries. As an example, three pilot sites in three different aquifer systems in the country are considered, and their highresolution images are analyzed over two temporal time periods. The analysis suggests that the well density in all three regions has increased over the last few years, indicating higher levels of groundwater extraction. Using the well inventory developed by this new approach, the water budgeting was prepared for the mainland of Jaffna Peninsula. The analysis shows a wide variation in well density in the Jaffna Peninsula, ranging from (as little as) less than 15 wells per square kilometer to (as high as) more than 200 wells per square kilometer. Calculations made for the maximum allowable water extraction in each administrative division of Jaffna show that less than 3 h of daily extraction per well is possible in some districts. This points to an increasing pressure on groundwater resources in the region and thus highlights the importance of understanding groundwater budgets for sustainable development of the aquifers.
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