Your search found 4 records
1 Duy Can, N.; Sophat, S.; Tu, V. H.; Khom, K. S.; Hoanh, Chu Thai. 2014. Vulnerability of livelihoods in flood-prone areas along the Cambodian-Vietnam border. In Lebel, L.; Hoanh, Chu Thai; Krittasudthacheewa, C.; Daniel, R. (Eds.). Climate risks, regional integration and sustainability in the Mekong region. Petaling Jaya, Malaysia: Strategic Information and Research Development Centre (SIRDC); Stockholm, Sweden: Stockholm Environment Institute (SEI). pp.97-122.
Climate change ; Flooded land ; Natural disasters ; Living standards ; Households ; Indicators ; Sustainability ; Agricultural production ; Economic aspects / Cambodia / Vietnam / An Giang / Kandal
(Location: IWMI HQ Call no: IWMI Record No: H046895)
http://www.sei-international.org/mediamanager/documents/Publications/sumernet_book_climate_risks_regional_integration_sustainability_mekong_region.pdf
https://vlibrary.iwmi.org/pdf/H046895.pdf
https://vlibrary.iwmi.org/pdf/H046895.pdf
(0.41 MB)
2 Amarnath, Giriraj; Simons, G. W. H.; Alahacoon, Niranga; Smakhtin, V.; Sharma, Bharat; Gismalla, Y.; Mohammed, Y.; Andrie, M. C. M. 2018. Using smart ICT to provide weather and water information to smallholders in Africa: the case of the Gash River Basin, Sudan. Climate Risk Management, 22:52-66. [doi: https://doi.org/10.1016/j.crm.2018.10.001]
Irrigation methods ; Flood irrigation ; Flooded land ; Remote sensing ; Geographical information systems ; Weather forecasting ; Weather data ; Smallholders ; River basins ; Information and Communication Technologies (icts) ; Crop production ; Crop yield ; Monitoring ; Water use ; Biomass ; Farmers ; Rain ; Case studies / Africa / Sudan / Gash River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H048976)
In the Gash Delta of Eastern Sudan, spate irrigation (flood-recession farming) contributes substantially to rural livelihoods by providing better yields than rainfed dryland farming. However, spate irrigation farmers are challenged by the unpredictability of flooding. In recent decades, the number of farmers practicing spate irrigation has decreased, due to varying rainfall intensity and frequency, insufficient infrastructure and farmers’ limited capacity to manage such variations. One solution that may help farmers face such challenges is for them to access real-time water-related information by using smart Information and Communication a Technology (ICT). This paper shows how integrating remote sensing, Geographical Information Systems (GIS), flood-forecasting models and communication platforms can, in near real time, alert smallholder farmers and relevant government departments about incoming floods, using the Gash basin of Sudan as an example. The Ministry of Water Resources of Sudan used the findings of this study to transform farmers’ responses to flood arrival from being ‘reactive’, to planning for the flood event. Intensive on-site and institutional efforts to build the capacity of farmers, farmer organizations, development departments and officers of the Ministry helped to develop the initiative from simply sending ‘emergency alerts’ to enabling stakeholders to visually see the flood event unfolding in the region and to plan accordingly for storing water, operating spate-irrigation systems and undertaking cropping activities. The research, initially conducted on a 60 × 60 km site, was later extended to the entire Gash basin. The paper outlines how to develop tools that can monitor plot-specific information from satellite measurements, and supply detailed and specific information on crops, rather than providing very general statements on crop growth. Farmers are able to use such tools to optimize their farm profits by providing water to their crops in the right place, at the right time and in the right quantity. Finally, the work demonstrates the high potential of combining technology, namely remote sensing data and simple a agro-meteorological model with limited parameters, for large-scale monitoring of spate irrigation systems and information sharing to advise farmers as to how to apply this information to their managerial decisions.
3 Schulte-Kellinghaus, Nikola. 2019. Flood-based farming systems and human-water dynamics in the Ayeyarwady Delta, Myanmar. Thesis submitted to the Department of Geography, University of Bonn, Germany, in partial fulfillment of the requirement for the Master of Science. 100p.
Farming systems ; Flooded rice ; Floodplains ; Deltas ; Climate change ; Extreme weather events ; Biodiversity ; Flooded land ; Land use ; Surface water ; Hydroclimatology ; Monsoon climate ; Rain ; Rivers ; Soils ; Salinity ; Crop yield ; Farmers ; Market access ; Socioeconomic environment ; Models ; Uncertainty / Myanmar / Ayeyarwady Delta / Ayeyarwady River
(Location: IWMI HQ Call no: e-copy only Record No: H049445)
(8.57 MB)
The flood-based farming systems in the Ayeyarwady Delta in Myanmar are changing. Change describes the modification of the flood pattern which is constituted by depth and duration of flooding and is the determining factor for rice cultivation. Flood-induced crop loss poses the major challenge to the farmers in the delta. To understand the flood-based farming systems in the Ayeyarwady Delta, the random forest algorithm was applied to generate rice suitability location models and to create suitability maps. Thus, correlations were observed between the developed definitions for the three rice growing areas based on quantitative interviews with farmers and the physical factors obtained from the input datasets – mainly remote sensing data concerning surface water and vegetation. To underpin the information of the generated suitability maps, human-water dynamics in the Ayeyarwady Delta are exemplified in terms of the pluralistic water research (PWR) framework (EVERS ET AL. 2017). Socio-economic and hydro-climatic drivers control this system and besides determine the suitable location of the three rice growing areas. This concept facilitates an understanding of the relationships and feedbacks of the human-water dynamics and is able to analyse flood risk mitigation in the Ayeyarwady Delta.
4 Pena-Regueiro, J.; Sebastia-Frasquet, M.-T.; Estornell, J.; Aguilar-Maldonado, J. A. 2020. Sentinel-2 application to the surface characterization of small water bodies in wetlands. Water, 12(5):1487. (Special issue: Advances in Groundwater and Surface Water Monitoring and Management) [doi: https://doi.org/10.3390/w12051487]
Water resources ; Wetlands ; Satellite imagery ; Remote sensing ; Ecosystems ; Flooded land ; Monitoring ; Coastal areas ; Precipitation ; Vegetation / Spain / Mediterranean Wetland / Valencia
(Location: IWMI HQ Call no: e-copy only Record No: H049851)
(13.00 MB) (13.0 MB)
Developing indicators to monitor environmental change in wetlands with the aid of Earth Observation Systems can help to obtain spatial data that is not feasible with in situ measures (e.g., flooding patterns). In this study, we aim to test Sentinel-2A/B images suitability for detecting small water bodies in wetlands characterized by high diversity of temporal and spatial flooding patterns using previously published indices. For this purpose, we used medium spatial resolution Sentinel-2A/B images of four representative coastal wetlands in the Valencia Region (East Spain, Mediterranean Sea), and on three different dates. To validate the results, 60 points (30 in water areas and 30 in land areas) were distributed randomly within a 20 m buffer around the border of each digitized water polygon for each date and wetland (600 in total). These polygons were mapped using as a base map orthophotos of high spatial resolution. In our study, the best performing index was the NDWI. Overall accuracy and Kappa index results were optimal for -0.30 threshold in all the studied wetlands and dates. The consistency in the results is key to provide a methodology to characterize water bodies in wetlands as generalizable as possible. Most studies developed in wetlands have focused on calculating global gain or loss of wetland area. However, inside of wetlands which hold protection figures, the main threat is not necessarily land use change, but rather water management strategies. Applying Sentinel-2A/B images to calculate the NDWI index and monitor flooded area changes will be key to analyse the consequence of these management actions
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