Remote Sensing Monitoring of Paddy Water Stress

碩士 === 國立臺灣海洋大學 === 河海工程學系 === 92 === In this research, the experimental method of Crop Water Stress Index (CWSI) was first applied to paddy field. At first, the relationship between CWSI and paddy response must be confirmed and then satellite remote sensing data were applied to monitor large-scale...

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Main Authors: Yuan-Feng Su, 蘇元風
Other Authors: Wen-Cheng Huang
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/54556465565365473955
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spelling ndltd-TW-092NTOU51920202016-06-01T04:21:57Z http://ndltd.ncl.edu.tw/handle/54556465565365473955 Remote Sensing Monitoring of Paddy Water Stress 遙測應用於水稻水分逆境監測之研究 Yuan-Feng Su 蘇元風 碩士 國立臺灣海洋大學 河海工程學系 92 In this research, the experimental method of Crop Water Stress Index (CWSI) was first applied to paddy field. At first, the relationship between CWSI and paddy response must be confirmed and then satellite remote sensing data were applied to monitor large-scale paddy water condition. The Non-Water-Stressed Baseline of paddy was obtained from experiment and verified by outdoor paddy field data within the period from August 2003 to July 2004. The result of experiment showed the experimental method of CWSI could properly describe water condition of paddy in term of real number between 0 and 1. Furthermore, the vegetation index, Normalized Difference Vegetation Index (NDVI), derived from SPOT satellite and field measurement data were applied in order to show the relationship between SPOT image data and water stress of paddy. Preliminary result showed that when water stress becomes more serious (from 0.09 to 0.74) then NDVI value would slightly decrease from 0.33 to 0.27. Wen-Cheng Huang Ke-Sheng Cheng 黃文政 鄭克聲 2004 學位論文 ; thesis 122 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣海洋大學 === 河海工程學系 === 92 === In this research, the experimental method of Crop Water Stress Index (CWSI) was first applied to paddy field. At first, the relationship between CWSI and paddy response must be confirmed and then satellite remote sensing data were applied to monitor large-scale paddy water condition. The Non-Water-Stressed Baseline of paddy was obtained from experiment and verified by outdoor paddy field data within the period from August 2003 to July 2004. The result of experiment showed the experimental method of CWSI could properly describe water condition of paddy in term of real number between 0 and 1. Furthermore, the vegetation index, Normalized Difference Vegetation Index (NDVI), derived from SPOT satellite and field measurement data were applied in order to show the relationship between SPOT image data and water stress of paddy. Preliminary result showed that when water stress becomes more serious (from 0.09 to 0.74) then NDVI value would slightly decrease from 0.33 to 0.27.
author2 Wen-Cheng Huang
author_facet Wen-Cheng Huang
Yuan-Feng Su
蘇元風
author Yuan-Feng Su
蘇元風
spellingShingle Yuan-Feng Su
蘇元風
Remote Sensing Monitoring of Paddy Water Stress
author_sort Yuan-Feng Su
title Remote Sensing Monitoring of Paddy Water Stress
title_short Remote Sensing Monitoring of Paddy Water Stress
title_full Remote Sensing Monitoring of Paddy Water Stress
title_fullStr Remote Sensing Monitoring of Paddy Water Stress
title_full_unstemmed Remote Sensing Monitoring of Paddy Water Stress
title_sort remote sensing monitoring of paddy water stress
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/54556465565365473955
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