UAV Remote Sensing Assessment of Crop Growth
UAV Remote Sensing Assessment of Crop Growth
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DOI：
10.14358/pers.21-00060r2
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发表时间：
2021-12-01
影响因子：
1.3
通讯作者：
Shahbazi, Abolghasem
中科院分区：
文献类型：
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作者：
Dorbu, Freda Elikem;Hashemi-Beni, Leila;Shahbazi, Abolghasem
引入无人机遥感来收集高空间和时间分辨率的图像，以得出作物生长指标并分析和及时呈现结果，可能会改善农业企业的管理，并使农民能够应用适当的解决方案，从而形成更好的粮食安全框架。本研究旨在分析作物生长指标，如归一化植被指数 (NDVI)、作物高度和植被表面粗糙度，以确定玉米作物从种植到收获的生长情况。对安装在无人机上的多光谱、红/绿/蓝和近红外传感器捕获的数据生成的数字高程模型和正射影像进行处理和分析，以计算各种农作物生长指标。结果表明，基于遥感的生长指标可以有效地确定作物随时间的生长情况，并且指标之间存在相似性和相关性。
The introduction of unmanned-aerial-vehicle remote sensing for collecting high-spatial- and temporal-resolution imagery to derive crop-growth indicators and analyze and present timely results could potentially improve the management of agricultural businesses and enable farmers to apply appropriate solution, leading to a better food-security framework. This study aimed to analyze crop-growth indicators such as the normalized difference vegetation index (NDVI), crop height, and vegetated surface roughness to determine the growth of corn crops from planting to harvest. Digital elevation models and orthophotos generated from the data captured using multispectral, red/green/blue, and near-infrared sensors mounted on an unmanned aerial vehicle were processed and analyzed to calculate the various crop-growth indicators. The results suggest that remote sensing-based growth indicators can effectively determine crop growth over time, and that there are similarities and correlations between the indicators.