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| K.C., Samir; Research Scholar, World Population Program, International Institute for Applied Systems Analysis; Wittgenstein Center for Demography and Global Human Capital (IIASA, VID/OEAW, WU); kcsamir@gmail.com. |
| We addressed the issue of differential vulnerability to natural disasters at the level of village communities in Nepal. The focus lay on the relative importance of different dimensions of socioeconomic status and in particular, we tried to differentiate between the effects of education and income/wealth, the latter being measured through the existence of permanent housing structures. We studied damage due to floods and landslides in terms of human lives lost, animals lost, and other registered damage to households. The statistical analysis was carried out through several alternative models applied separately to the Terai and the Hill and Mountain Regions, as well as all of Nepal. At all levels and under all models, the results showed consistently... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Education; Floods and landslides; Natural disaster; Nepal; Vulnerability. |
| Ano: 2013 |
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| Amornrat Intrman; Sommai Lertna; Andrew Nelson; Tri Deri Setiyono; Francesco Holecz; Pongmanee Thonbai; Preesan Rakwathin. |
| RIICE is an activity in RIICE project which to find ways of helping Asian countries are faced with a natural disaster. Especially floods and droughts caused by the cooperation of the three organizations, namely International Rice Research Institute (IRRI), SARMAP and Rice Department. By the year 2013 - 2015 in the area of responsibility of Suphanburi Rice Research Center and Nakhon Ratchasrima Rice Research Center. In the year 2013 in Nakhon Ratchasima, using satellite COSMO Skymed, type stripmap, resolution 3-meter, width of the image 40 x 40 kilometers. In Suphanburi, using satellite COSMO Skymed, type scansar resolution of 15 meters, the width of the image 100 x 100 kilometers. In each field survey was conducted, collectting geographic coordinates,... |
| Tipo: Collection |
Palavras-chave: Rice; Remote sensing; Yield prediction; Natural disaster; ข้าว; การสำรวจระยะไกล; การพยากรณ์ผลผลิต; ภัยธรรมชาติ. |
| Ano: 2015 |
URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5909 |
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