Mapping of Peat Soil Physical Properties by Using Drone- Based Multispectral Vegetation Imagery
Mapping of Peat Soil Physical Properties by Using Drone- Based Multispectral Vegetation Imagery
复制标题
使用基于无人机的多光谱植被图像绘制泥炭土物理特性
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Saifullizan Mohd Bukari
中科院分区：
文献类型：
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作者：
A. Mustaffa;A. Mukhtar;A. Rasib;H. F. Suhandri;Saifullizan Mohd Bukari
无人驾驶飞行器（UAV），即无人机，是用于大面积监测和测绘农业部门的空中平台之一。该平台配备了一些紧凑型相机或传感器。本研究旨在确定泥炭土的物理性质与菠萝作物健康指数的相关性。该指数基于安装在无人机上的多光谱相机拍摄的可见光光谱波长的红、蓝、绿（RGB）和近红外（NIR）。无人机捕获的数据与现场土壤样本的实验室测试结果进行了验证。对3块地4 ~ 14月龄菠萝作物进行多光谱成像，检测其健康指数。测定了28个土壤样品的土壤含水量和pH值。利用这两种数据对作物的健康状况进行了分析，并对结果进行了比较和关联。这一贡献主要集中在巴图巴哈特帕里特尼帕泥炭土上种植的莫里斯菠萝作物的研究区域。结果表明，泥炭土的水分含量和pH值与多光谱图像的颜色反射率指数呈线性关系。因此，本研究证明了利用无人机多光谱图像技术能够将菠萝作物的健康状况与土壤物理性质联系起来。
Unmanned Aerial Vehicle (UAV), namely drone, is one of the aerial platforms, which used to monitor and mapping an agricultural sectors at large area. The platform equipped with some compact camera or sensors. This study aims to identify the peat soil physical properties, which correlated with the pineapple crops healthiness index. The index based on visible Red, Blue, Green (RGB) and Near Infrared (NIR) of spectral wavelength taken from multispectral camera mounted at the drone. The data captured with the drone validated with laboratory test result obtained from the soil samples at the site. The multispectral images of three plots of pineapple crops from the age of 4 months to 14 months was take to check their healthiness index. Soil moisture content and pH value were also test from 28 soil samples. The healthiness of the crops were analysed using both data and the results then compared and correlated. This contribution focuses at the study area of Morris pineapple crops that were cultivated on peat soil in Parit Nipah, Batu Pahat. It was found that the moisture content and pH value of the peat soil is linear with the index level of colour reflectance produced from the multispectral image. As a result, this study gives a proof that using of multispectral images technology from drone is able to correlate between the healthiness of pineapple crops with the soil physical properties.