應用抽穗期多光譜航照影像預估水稻產量之研究

Rice Yield Prediction Using Multispectral Airborne Images at Booting Stage

章國威(K. W. Chang) ； 王淑姿(S. Z. Wang) ； 申雍(Y. Shen) ； 羅正宗(J. C. Lo) ； 黃鼎名(D. M. Huang) ； 蔡和霖(H. L. Tsay)

《航測及遙測學刊》 11卷1期 (2006/03) Pp. 27-38

https://doi.org/10.6574/JPRS.2006.11(1).3

摘要

本研究於2004年在農試所嘉義分所溪口農場，設置同時具備品種與產量差異的水稻產量地真樣區，且利用農航所航測飛機搭載國實院儀科中心開發的植被與國土變遷偵測儀拍攝水稻抽穗期地真樣區的多光譜影像。並利用1999-2002間獲取之入射日射光譜與水稻植被反射光譜地真資料，建構以綠光段(GRN)、紅光段(RED)、近紅外光段(NIR)輻射量比值(NIR/RED、NIR/GRN)為自變數的產量推估模式。比較影像推估產量和實際地真產量指出，應用水稻抽穗期間所獲取的航照影像，預估收穫時的可能產量已具有可行性。

關鍵字

水稻Oryza sativa L. ； 特徵光譜 ； 產量推估 ； 遙測模式

並列摘要

In this study, a 4.8-ha ground truth site has been established. Within the site, several rice yield scenarios were produced by using combinations of rice varieties, nitrogen rate and drought treatments. Multispectral images by VCDi from ITRC were taken at booting stages of first rice crop season of 2004. Rice yield estimation models, using band ratios of either reflectance or radiance at green, red and infrared band (NIR/RED, NIR/GRN), were derived using ground truth data collected during 1999-2002. Yields predicted from image were then compared with yield map measured at 10m×10m mesh. Results indicated that using airborne multispectral images at booting stage to predicted rice yield was practicable. The prediction accuracy may be improved if better atmospheric correction method were used.

並列關鍵字

Rice Oryza sativa L. ； Characteristic spectrum ； Yield estimation ； Remote sensing model