水稻營養生長期農藝性狀與衛星遙測植生指數NDVI之灰關聯分析

Grey Relational Analysis between Agronomic Characters and Satellite Remote Sensing Normalized Difference Vegetation Index of Paddy Rice during Vegetative Stage

楊志維(Zhi-Wei Yang) ； 許明晃(Ming-Huang Hsu) ； 黃文達(Wen-Dar Huang) ； 楊智旭(Jr-Syu Yang) ； 蔡養正(Yang-Zenq Tsai) ； 楊棋明(Chi-Ming Yang) ； 張新軒(Shine-Shiang Chang)

《作物、環境與生物資訊》 1卷3期 (2004/09) Pp. 199-206

https://doi.org/10.30061/CEB.200409.0005

摘要

本研究應用灰關聯理論，分析水稻營養生長期之農藝性狀與衛星遙測常態化差異植生指數(normalized difference vegetation index, NDVI)之關聯性。灰關聯分析顯示，株高(cm hill^(-1))、分蘗數(tillers hill^(-1))、葉氮含量百分比(%, DW)、莖水分含量百分比(%, FW)、葉鮮重(g hill^(-1))與總水分含量百分比(%, FW)之灰序分佔前6名；而葉氮含量(g, DW)、總氮含量(g, DW)、莖氮含量(g, DW)、莖鮮重(g hill^(-1))、總乾重(g hill^(-1))與莖乾重(g hill^(-l)之灰序則分別是後6名；其他農藝性狀則介於中問。因此，水稻營養生長期各農藝性狀對衛星遙測NDVI之貢獻度不同，以株高、分蘗數、水分含量百分比(%, FW)等較高，組織乾重則較低。本文也將迴歸分析與灰關聯分析結果做比較。

關鍵字

水稻 ； 營養生長期 ； 農藝性狀 ； 衛星遙測 ； 植生指數 ； 灰關聯分析 ； NDVI

並列摘要

This study applied grey system theory to analyze the relationship between agronomic characters and satellite remote sensing normalized difference vegetation index (NDVI) of paddy rice during vegetative stage. The results of grey relational analysis indicated that plant height, tiller number, leaf nitrogen content (%, DW), tiller water content, leaf fresh weight and total water content (%, FW) took the 1(superscript st), 2(superscript nd), 3(superscript rd), 4(superscript th), 5(superscript th), and 6th place of proportionality, respectively. Leaf, total and tiller nitrogen contents (g), tiller fresh weight, total and tiller dry weights were the last six items in the order, i.e., these parameters took the 13(superscript th), 14(superscript th), 15(superscript th), 16(superscript th), 17(superscript th) and 18(superscript th) place of proportionality, respectively. Other agronomic characters were located between them. Results suggest that different agronomic characters of paddy rice make different contribution to satellite NDVI during vegetative stage. Plant height, tiller number, and water content play a more important role while dry weight of tissues is relatively less important. Results from regression and grey relational analyses are also compared and discussed.

並列關鍵字

Paddy rice ； Vegetative stage ； Agronomic characters ； Satellite remote sensing ； Vegetation index ； Grey relational analysis ； NDVI