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研究生:廖恩華
研究生(外文):En-Hua Liao
論文名稱:利用遙測資訊協助判釋桃園地區水稻產量土壤限制因子之研究
論文名稱(外文):Identification and Characterization of Soil Limiting Factors to Rice Yield at Taoyuan Area through Remote Sensed Information
指導教授:申雍申雍引用關係
指導教授(外文):Yuan Shen
口試委員:黃裕銘李達源
口試委員(外文):Yu-Ming HwangDa-Yuan Li
口試日期:2016-07-14
學位類別:碩士
校院名稱:國立中興大學
系所名稱:土壤環境科學系所
學門:農業科學學門
學類:農業化學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:中文
論文頁數:65
中文關鍵詞:遙感探測水稻產量土壤限制因子排水不良
外文關鍵詞:remote sensingrice yieldsoil limiting factorspoor drainage
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水稻為台灣地區最重要的糧食作物,也是種植面積最大的作物。桃園是台灣北部最重要和最大的稻米產區,水稻種植地區大部分土壤是紅土和礫石。桃園地區水稻生長在相同氣候、相似的田間管理的情況下,水稻產量普遍存在有空間分佈不均勻的狀況,顯示土壤中應該有限制水稻產量的因子存在,稱為「土壤限制因子」。這項研究的目的是利用遙測方法推估出水稻產量空間分佈產量圖,再和傳統的土壤調查數據結合應用基本土壤科學知識和數據挖掘技術,以確定存在於桃園水稻田中的土壤限制因子。研究篩選2004~2011共8年16個期作的水稻孕穗期遙測影像,應用衛星影像大氣校正技術,篩選出適用的大氣模式,代入產量推估模式後獲取不同年期的水稻產量空間資訊,將各樣區的水稻生產情形,分為穩定高產、穩定平產、穩定低產、和不穩定四類,製作樣區產量時空變異分佈圖。完成的時空變異分佈圖結合研究區域的土壤調查報告書之資訊,運用資料探勘技術,可歸納統計出穩定低產區域是否有特定土壤性質的限制因子存在,便於實驗規劃採樣內容與位置。探勘分析結果顯示,桃園低產地區有二點:(1)土壤內部排水分類屬“劣”等級,(2)土壤顏色顯示屬排水不良,因此排水不良被認為是導致低桃園地區產生的主要土壤限制因素。
研究結果顯示,低產土壤中普遍粘粒含量高,有許多灰斑層在40~60公分形成,長年的淋洗作用亦導致鐵錳結核大量形成,顯示土壤有排水不良的境況,不利於植物根系營養生長。桃園樣區有下列兩個低產機制,(1)表土質地為粘壤土、坋質粘壤土且土壤具有鐵、錳結核,灰斑層在40~60公分即出現,(2) 土壤特性上呈現灰白、黃灰、灰藍且土壤內部排水劣。此二者低產機制為土壤排水不良的特色,而土壤排水不良可能會限制水稻根的發展,因此視為桃園區水稻種植土壤的限制因子。本研究結果顯示土壤排水不良在水稻產量高低上有影響,此結果可供後續研究參考使用,結果和方法可作為後續推廣精準農業的參考。

In northern Taiwan, Taoyuan is the most important and the biggest rice producing area. Even under similar climate and field management, spatial varication appeared on the field paddy rice yield. It indicated the existence of paddy rice yield that soil limiting factors.
Because field sampling and soil characteristics surveying are time consuming and costy opertions, it is hard to identify or characterize soil limiting factors in these rice fields. The purpose of this study is using remote sensed yield maps and traditional soil survey data in conjunction with basic soil science knowledge and data mining techniques to identify soil limiting factors of the paddy rice fields in Taoyuan.
In this study, we used 2004 to 2011 Taoyuan SPOT images at cropping booting stage of two seasonal to produce spatial temporal yield. Through the spatial temporal yield map was divided into consistent-high, consistent-average, consistent-low, and the un-consistent four kinds. Based on the spatiotemporal rice yield maps, data mining techniques can be employed to identify the existence of soil limiting factors and their spatial distribution within the study sites. The results indicated that poor internal drainage was the major soil limiting factor that caused low yielding in Taoyuan area.

中文摘要………………………………………………………………………i
ABSTRACT……………………………………………………………iii
目 錄………………………………………………………………iv
表目錄……………………………………………………………vi
圖目錄………………………………………………………………vii
一 前人研究…………………………………………………………………01
(一) 桃園水稻產量及土壤現況…………………………………………01
(二) 遙感探測技術於農業監測之應用…………………………………06
(三) SPOT衛星介紹… …………………………………………………08
(四) 產量推估模式………………………………………………………09
(五) 資料探勘……………………………………………………………10
二 研究目的…………………………………………………………………11
三 材料與方法………………………………………………………………12
(一) 研究區域……………………………………………………………12
1. 桃園區域衛星SPOT影像………………………………………12
2. SPOT影像大氣校正 ……………………………………………21
3. 土壤調查資料庫…………………………………………………23
4. 桃園地區十六個期作之水稻產量推估…………………………25
5. 水稻產量時空變異分佈…………………………………………26
6. 資料探勘分析……………………………………………………37
7. 桃園樣區低產機制分佈…………………………………………37
(二) 統計分析……………………………………………………………38
四 結果與討論………………………………………………………………39
(一) 產量推估的敘述統計……………………………………………39
(二) 產量分級空間分佈分析…………………………………………46
(三) 分類樹分析………………………………………………………50
五 結論………………………………………………………………………56
六 參考資料…………………………………………………………………57

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