Your search found 5 records
1 Inada, Yoshiaki. 2012. The International Water Management Institute’s work on climate change and possibilities for Myanmar: seeking solution for the measure of adaptation and mitigation against the impact. In Myanmar. Irrigation Department. Proceedings of Symposium on Water Management for Paddy Field Irrigation and Impacts of Climate Change and the 9th INWEPF Steering Meeting, Yangon, Myanmar, 6-9 November 2012. Yangon, Myanmar: Irrigation Department. pp.73-77.
Research institutes ; Climate change ; Agricultural production ; Water storage ; Saline water ; Deltas / Myanmar
(Location: IWMI HQ Call no: e-copy only Record No: H045576)
(0.41 MB)
As water is perhaps the most important element in climate change adaption, in particular as related to agriculture, IWMI has focused considerable resources on the topic of climate change and has been at the forefront of climate change science as related to agricultural adaption in the developing world. IWMI’s climate work has been focused on 1) better information to understand the impacts of climate change on farmers, 2) understanding the range of storage options-from natural wetlands, groundwater aquifers, and ponds to large scale dams-that can help farmers adapt to changing water supply as well as extreme events, and 3) understanding how changes in water governance can increase farmer options and improve outcomes. Of particular relevance is work conducted in the Mekong Delta on issues associated with changing salinity as a consequence of sea level rise, and a recent synthesis of the relationship between climate change, water and agriculture in the Mekong sub-region. This paper will highlight how existing work can be applied to the issues of Myanmar and promising directions for future work, especially as related to the Ayeyarwady Delta.
2 Amarnath, Giriraj; Alahacoon, Niranga; Inada, Yoshiaki. 2014. Inundations in the Sri Lanka: monitoring and analysis from MODIS [Moderate Resolution Imaging Spectroradiometer] and ALOS [Advanced Land Observing Satellite] instrument. In Sri Lanka. Ministry of Disaster Management. Proceedings of the Disaster Management Conference: The future we want- Safer Sri Lanka, Colombo, Sri Lanka, 24-26 September 2014. Colombo, Sri Lanka: Ministry of Disaster Management. pp.476-478.
Flooding ; Rain ; Satellite imagery ; Satellite observation ; Land cover ; GIS ; Remote sensing ; Case studies / Sri Lanka
(Location: IWMI HQ Call no: e-copy only Record No: H046625)
(0.46 MB)
Sri Lanka is facing severe flood events during monsoon rainfall in each year all over the country. The rapid development of remote sensing and widely available satellite images can be used effectively to map the flood inundation in past years. This study is focused on the mapping of flood inundation together with flood recurrent based on both optical (MODIS) and microwave (ALOS/PALSAR) satellite images. In the first stage MODIS images with spatial resolution of 500m and temporal interval of eight day was used to map flood recurrent areas for risk assessment using images from 2000 to 2011. In the second state 16 satellite images from ALOS PALSAR images between 2006 and 2011 was analyzed by using pixel threshold value to map the flooded and non-flooded areas. The flood recurrent products from both MODIS and PALSAR images were generated to represent the repetition of flood inundated areas. The analysis of the results indicated that the PALSAR image based flood inundation mapping is much accurate and useful in the context of spatial variability than the temporal variability. The accurate land-cover map is also important to assess the flood damages and evaluate the future development and the cultivation planning. But there is no such an accurate and detailed land-cove map available for Sri Lanka to assess the flood damages. Thus, this study was focused on the preparation of land-cover map with GIS and RS approach. The land-cover classification was carried out by image fusion of optical (LANDSAT) and microwave (ALOS/PALSAR) under High Pass Filtering (HPF) technique. Unsupervised image classification method was used to classify the fused image in to different land-cover classes. Accuracy assessment of land-cover classification was conducted using existing ground truth information and Google Earth with as resulted in the overall accuracy as 71.16% and the Kappa statistics as 62.83%.
3 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.
Natural disasters ; Flooding ; Risk assessment ; Mapping ; Satellite imagery ; Case studies / Asia / Africa / Sri Lanka
(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.
4 Amarnath, Giriraj; Inada, Yoshiaki; Ghosh, Surajit; Yakob, Umer; Alahacoon, Niranga; Kota, Harada; Inoue, Ryosuke; Schlaffer, S. 2014. Earth observation technologies for flood-risk mapping, modeling and management. Training manual prepared for Capacity Building Workshop on Earth Observation Technologies for Flood-risk mapping, Modeling and Management, Peradeniya, Sri Lanka, 18-21 November 2014. Peradeniya, Sri Lanka: University of Peradeniya. Postgraduate Institute of Science. 170p.
Earth observation satellites ; Satellite imagery ; Radar satellite ; Early warning systems ; Flood control ; Risk management ; Models ; Capacity building ; Rain ; Runoff ; Climate change ; Impact assessment ; Hydraulics ; Case studies ; Training materials / Sri Lanka / Thailand / Mundeni Aru Basin
(Location: IWMI HQ Call no: IWMI Record No: H046777)
(11.97 MB)
5 Amarnath, Giriraj; Umer, Yakob Mohammed; Alahacoon, Niranga; Inada, Yoshiaki. 2015. Modelling the flood-risk extent using LISFLOOD-FP in a complex watershed: case study of Mundeni Aru River Basin, Sri Lanka. Proceedings of the International Association of Hydrological Sciences, 370:131-138. [doi: https://doi.org/10.5194/piahs-370-131-2015]
Flood control ; Watersheds ; River basins ; Models ; Satellite observation ; Radar satellite ; Natural disasters ; Risk management ; Hydraulics ; Rain ; Case studies / Sri Lanka / Mundeni Aru River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H047060)
http://www.proc-iahs.net/370/131/2015/piahs-370-131-2015.pdf
https://vlibrary.iwmi.org/pdf/H047060.pdf
https://vlibrary.iwmi.org/pdf/H047060.pdf
(1.04 MB) (1.04 MB)
Flood management is adopting a more risk-based approach, whereby flood risk is the product of the probability and consequences of flooding. Two-dimensional flood inundation modeling is a widely used tool to aid flood-risk management. The aim of this study is to develop a flood inundation model that uses historical flow data to produce flood-risk maps, which will help to identify flood protection measures in the rural areas of Sri Lanka. The LISFLOOD-FP model was developed at the basin scale using available historical data, and also through coupling with a hydrological modelling system, to map the inundation extent and depth. Results from the flood inundation model were evaluated using Synthetic Aperture Radar (SAR) images to assess product accuracy. The impacts of flooding on agriculture and livelihoods were analyzed to assess the flood risks. It was identified that most of the areas under paddy cultivation that were located near the middle and downstream part of the river basin are more susceptible to flood risks. This paper also proposes potential countermeasures for future natural disasters to prevent and mitigate possible damages.
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