中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/61918
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 81025/81025 (100%)
造访人次 : 46499862      在线人数 : 567
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/61918


    题名: 因應氣候變遷與糧食安全之稻米監測研究:以越南湄公河三角洲為例;Remote Sensing of Rice Agriculture for Food Security Monitoring: a Case Study from Mekong Delta, Vi Etnam
    作者: 陳繼藩
    贡献者: 國立中央大學太空及遙測研究中心
    关键词: 土木水利工程
    日期: 2014-03-10
    上传时间: 2014-03-11 09:46:42 (UTC+8)
    出版者: 行政院國家科學委員會
    摘要: 研究期間:10301~10312;Climatic change through global warming and drought is a major issue causing decreased rice production. Vietnam is the second leading rice exporter in the world following Thailand. More than 80% of rice production in this country is produced in the Mekong Delta. This delta is documented as one of the regions of the globe most under threat from climate change. Thus, rice monitoring for this region becomes vitally important to provide data for policymakers to devise strategic plans to ensure food security. The goal of this project is to develop an efficient rice monitoring program for the Mekong Delta using remote sensing technology. To achieve this goal, we develop a three-year project (from 2013 to 2015) to address the following objectives: (1) in the first year 2013, we will develop methods and approaches to monitor rice sowing progress in the early stage of rice plant development and farming activities from multi-temporal Moderate Resolution Imaging Spectroradiometer (MODIS) data. Monitoring rice sowing progress will be implemented based on analysis of rice crop phenology, whilst rice farming activities will comparatively processed using two non-parametric classification algorithms (artificial neural networks – ANNs and support vector machines – SVMs). The results will be validated with the ground reference data collected from field surveys; (2) in the second year (2014), we will develop methods for early warning of rice diseases caused insects and rice diseases, and for estimating rice crop yield and rice yield losses. Early warning of rice diseases will be implemented by analysis of the relationships between in-situ spectral reflectance measurements of rice canopy and insects density and effected factors (e.g. climatic and rice parameters) collected from field surveys. Modeling rice crop yield will be implemented using statistical and crop growth models. Rice yield losses and potential impacts of global warming on rural economies and settlement will also be analyzed using field survey data; and (3) in the third year (2015), efforts will be made to analyze dimensions attributed to food security and climate change in the region. The results produced from this project will be providing policymakers in the country valuable information so that they can devise strategic plans for monitoring rice production and enhancing food security. Such methods in this project will be completely transferrable to other places in the world.
    關聯: 財團法人國家實驗研究院科技政策研究與資訊中心
    显示于类别:[太空及遙測研究中心] 研究計畫

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML531检视/开启


    在NCUIR中所有的数据项都受到原著作权保护.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明