應用遙測影像輔助判釋土壤限制因子分佈地區之技術

Abstract

間土壤性狀多具有空間分佈不均的特性，可以成為導致田間作物產量發生空間變異的主要因素。應用遙測影像可獲得目標區內作物生育情形的空間分佈資訊，遠較以人為方式於地面進行採樣、分析的調查方式來得經濟有效，且具有整體的空間觀念，更有利於進行相關的研判工作。本研究以農委會農業試驗所之水稻精準試驗田區為例，探討應用遙測影像輔助判釋土壤限制因子分佈地區之方法，並針對所分析之研究區域，提出可增加水稻產量之精準農耕操作方法的建議。本研究所開發的技術可與前一年度所發展之快速偵檢土壤性質空間分佈之技術結合，組成水稻精準農耕系統中，有關土壤環境空間變異特性的偵檢技術，也是發展精準農耕的重要關鍵技術。 Soil properties are heterogeneous in the fields. These may result in the spatial variation of crop yields. Through remote sensing images, spatial distribution of crop growth in the field can be obtained in more efficient manner than traditional human survey. Besides, remote sensing images can provide a more integrate view of the field and are thus more useful in related analysis. In this study, the rice fields for precision management in TARI was taken as an example to illustrate the methods of using remote sensing images to assist identifying and locating the growth limiting soil factors. Preliminary suggestion regarding precision field management practices was also proposed to increase rice yield. The techniques developed this year, in conjunction with techniques for fast determining spatial distribution of soil properties at field scale, constitute the spatial variation detection scheme for soil environment. This is a key technique for precision farming.