應用無人飛行載具與熱影像儀分析地表土壤含水量

Analysis of surface soil moisture using unmanned airborne vehicle and thermal imaging

戴榮興(Hsing-Jung Tai)

指導教授 ： 蔡佩勳 ； 黃怡碩

朝陽科技大學/理工學院/營建工程系/碩士(2020年)

摘要

土壤含水量的空間和時間變化訊息在水文運用上具有相當大的重要性，在農業方面，土壤的含水量將會影響農作物的產量，如果能即時監控土壤含水量情況適當的給予水分將會對農作物生產量有大大提升；如果能掌握土壤含水量的變化，應用在邊坡監測可能可以提前預警邊坡滑動的情況。
本研究使用UAV無人機搭載紅外線熱像儀偵測研究區域在清晨與正午時觀察其熱紅外輻射或地表溫度分布，在透過可見光影像判讀研究區域內的植生情況，取得現地土壤做含水量試驗，再以類神經網路演算法建立研究區域不同位置的地表最高與最低溫度差、日照能量、土壤細粒含量、土壤有效粒徑、植生率與地表土壤含水量之關係架構，以訓練數據集佔比為80％驗證數據集佔比為20％進行網路訓練與驗證，以確認模型的準確性，以此作為日後在研究區域內，能即時地進行全面性的地表含水量偵測。由結果顯示，本研究建立的神經網路分析土壤含水在第18代訓練有最佳的結果，可以有效估計土壤含水量的情形。

關鍵字

無人飛行載具 ； 類神經網路 ； 紅外線熱影像 ； 土壤含水量

並列摘要

The information of spatial and temporal changes in soil water content is of great importance in hydrological applications. In agriculture, soil water content will affect the yield of crops. If the soil water content can be monitored in real time, proper water supply will be of great importance. The production of crops has been greatly improved; if the changes in soil water content can be grasped, the application of slope monitoring may provide early warning of slope slippage.
In this study, UAV drones equipped with infrared thermal imaging cameras are used to detect the thermal infrared radiation or surface temperature distribution in the research area in the early morning and noon. The vegetation conditions in the research area are interpreted through visible light images, and the on-site soil moisture content test is obtained. A neural network-like algorithm is used to establish the relationship between the highest and lowest temperature difference, sunshine energy, soil fine particle content, soil effective particle size, vegetation rate and surface soil water content at different locations in the study area, and use 80% training to verify 20 % Conduct training to confirm the accuracy of the model, as a comprehensive and timely detection of surface water content in the study area in the future. The results show that the neural network established in this study has the best results in the 27th generation training for soil moisture analysis, which can effectively estimate the soil moisture content.

並列關鍵字

UAV ； Neural Network ； Infrared Thermograph ； water content of soil

參考文獻

參考文獻

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[4] 劉祐邑，應用熱影像於泥岩邊坡的穩定性監測分析，土木與水資源工程學系研究所碩士論文，國立嘉義大學民國105年