English  |  正體中文  |  简体中文  |  Items with full text/Total items : 68069/68069 (100%)
Visitors : 23224876      Online Users : 143
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/49825

    Title: Monitoring of soil moisture variability in relation to rice cropping systems in the Vietnamese Mekong Delta using MODIS data
    Authors: Chen,CF;Son,NT;Chang,LY;Chen,CC
    Contributors: 土木工程學系
    Date: 2011
    Issue Date: 2012-03-27 16:17:51 (UTC+8)
    Publisher: 國立中央大學
    Abstract: Information on soil moisture is important for crop and water management. This study investigated soil moisture variability in relation to rice cropping systems in the Mekong Delta (MD), Vietnam, using MODIS data acquired from January to April, 2002 to 2007. The soil moisture was estimated using the temperature vegetation dryness index (TVDI). This index was empirically calculated by parameterizing the relationship between the MODIS land surface temperature (LST) and the normalized difference vegetation index (NDVI) data. The rice cropping systems were classified using time-series MODIS NDVI data for 2002 and 2006. The data were processed using empirical mode decomposition (EMD), principal component analysis (PCA) and maximum likelihood classification (MLC) methods. Various spatial and non-spatial data were also collected for accuracy validation of the TVDI and classification results. Comparisons reveal good agreement between the TVDI and daily rainfall data. The areas with low soil moisture were mainly distributed in coastal areas from 2002 to 2005, but expanded into the middle of the MD in 2006 and 2007. The largest area of low soil moisture was observed in 2006. Classification of rice cropping systems reveals an overall accuracy and Kappa coefficient for 2002 of 76.3% and 0.68, respectively while the values for 2006 were 76.9% and 0.69, respectively. To relate soil moisture with rice cropping systems, we aggregated the composite soil moisture maps (considering dry and very dry classes only) with the rice crop maps for 2002 and 2006. The results indicate a remarkable increase in the area of double and triple irrigated rice cropping systems in areas of low soil moisture (i.e., dry and very dry conditions) during this period. This study demonstrated the merits of using MODIS data for studying soil variability in relation to rice crops which is important for crop and water management. (C) 2010 Elsevier Ltd. All rights reserved.
    Appears in Collections:[土木工程學系 ] 期刊論文

    Files in This Item:

    File Description SizeFormat

    All items in NCUIR are protected by copyright, with all rights reserved.

    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 ©   - Feedback  - 隱私權政策聲明