以無人機獲取之多光譜影像建立土壤中鎘與水稻吸收量關聯性

蔡顓均

doi:10.6342/NTU201903888

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以無人機獲取之多光譜影像建立土壤中鎘與水稻吸收量關聯性

Correlating the Soil Cadmium and its uptake of in Rice with Unmanned Aerial Vehicle-derived Multispectral Images

蔡顓均 , Masters　　Advisor：黃文達　　

繁體中文 DOI： 10.6342/NTU201903888

水稻；反射光譜；遙感探測；重金屬；鎘污染；植生指數；無人機；多光譜影像；高光譜； Oryza sativa L. ； reflectance ； remote sensing ； heavy metals ； cadmium pollution ； vegetative indices ； UAV ； multispectral images ； hyperspectral

Abstract │ Reference (162) │ Altmetrics

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The problem of heavy metal pollution in farmland soil is more critical with every passing, which poses a threat to food security and human health. However, traditional methods of detecting heavy metal pollution was only selective abstraction and destructive. With the development of remote sensing technique combined with the platform for Unmanned Aerial Vehicle (UAVs), the crops and environmental pollution levels are monitored in real time with fast, high throughput and low labor costs. The aim of this study is to develop a standard protocol for field UAV times series multispectral images to assist in the prediction of above ground and brown rice cumulative cadmium (Cd) concentration management evaluation system. Rice (Oryza sativa L.)  potential danger of Cd pollution field located in Taoyuan Bade. The experiment period during first crop season in 2018, planting Taikeng 9 (TK 9), Taikeng 14 (TK 14) and Taitung 30 (TT 30). UAVs carried Parrot Sequoia Multispectral camera (Red, Green, Red Edge, NIR) for collecting aerial images in time series. Fifty-three vegetative indices (VIs) derived from four original wavebands reflectance and integration of VIs were tested in this study for analysis correlation between Cd concentration in vegetative phase, reproductive phase and maturation phase. Result shows that the best VIs for different phenotypes regression varies over time and varieties. Cd content in brown rice of rice variety TY9 were highly correlated with GNDVI at 89 days after transplanting (DAT) (R squared = 0.870) , TY14 were highly correlated with ARI at 75 DAT (R squared = 0.985) and TT30 were highly correlated with MCARI/MTVI2 at 40 DAT (R squared = 0.985). VIs derived from three calculated methods about normal single band, UAV multiple spectral and simulating multiple spectral from hyperspectral were tested in this study for regression analysis. Result shows that the best prediction models to estimate Cd content in brown rice: TK 9 respectively Y= – 0.0002 × MCARI/MTVI– 0.0153、– 3.701 × NGRDI+ 1.497、0.0002 × TVI– 1.472; TK 14 respectively Y= – 4.513 × GOSAVI + 3.846、– 4.386 × NGRDI + 1.866、– 2.088 × GSAVI + 2.590; TT 30 respectively Y=– 0.011 × TCI – 0.955、– 0.139 × Cl Red Edge + 0.908、– 0.003 × TCARIMSAVI + 0.299. In summary, this system can provide estimate the current grain concentration by VIs. If it exceeds the rice limit of 0.4 mg · kg -1, agronomic management measures are taken to achieve the purpose of early warning. Therefore, the VIs can be calculated by reflectance from leaf and canopy, and non-destructive estimation of rice plants can be carried out. The accumulation of heavy metal Cd concentration in rice can immediately assist in monitoring content and crop growth of rice, and contribute to the development of precision agriculture.

Reference ( 162 ) 〈TOP〉

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