English  |  正體中文  |  简体中文  |  Items with full text/Total items : 65318/65318 (100%)
Visitors : 21987051      Online Users : 193
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/987654321/50636


    Title: Mapping double-cropped irrigated rice fields in Taiwan using time-series Satellite Pour I'Observation de la Terre data
    Authors: Chen,CF;Huang,SW;Son,NT;Chang,LY
    Contributors: 太空及遙測研究中心
    Keywords: EMPIRICAL MODE DECOMPOSITION;HILBERT-HUANG TRANSFORM;FOURIER-ANALYSIS;WAVELET TRANSFORM;FOREST STANDS;MEKONG DELTA;PHENOLOGY;AGRICULTURE;PARAMETERS;VEGETATION
    Date: 2011
    Issue Date: 2012-03-27 17:49:37 (UTC+8)
    Publisher: 國立中央大學
    Abstract: Rice is the most important food crop in Taiwan. During recent decades, rice production in Taiwan has sharply declined because of industrialization and urbanization. Monitoring the areas of rice cultivation thus becomes important due to the official initiatives to ensure food supply. This study aims to develop a remote sensing classification approach for mapping double-cropped irrigated rice fields in Taiwan using time-series SPOT (Satellite Pour l'Observation de la Terre) data. Three study sites with different farming conditions in Taitung, Chiayi, and Taoyuan counties were chosen to test the new classification method. Data processing steps include: 1. filtering time-series SPOT-based normalized difference vegetation index (NDVI) using empirical mode decomposition (EMD) and wavelet transform, 2. classifying double-cropped irrigated rice fields using statistical methods (i.e., correlation analysis and sign-test statistics), and 3. assessing classification accuracy. The comparisons between the classification maps and ground-truth maps in 2005 indicated that classification using the EMD-based filtered NDVI time-series data yielded more accurate results than did the wavelet transform-based filtered data. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3595276]
    Relation: JOURNAL OF APPLIED REMOTE SENSING
    Appears in Collections:[太空及遙測研究中心] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML456View/Open


    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