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An ArcGIS Pro workflow to extract vegetation indices from aerial imagery of small-plot turfgrass research
Crop Science ( IF 2.3 ) Pub Date : 2021-11-15 , DOI: 10.1002/csc2.20669
Amy L. Wilber 1 , Joby M.P. Czarnecki 2 , James D. McCurdy 1
Affiliation  

Collection of multispectral imagery from an aerial sensor is a means to obtain plot-level vegetation index (VI) values; however, postcapture image processing and analysis remains a challenge for small-plot researchers. An ArcGIS Pro workflow of two task items was developed with established routines and commands to extract plot-level VI values (normalized difference VI [NDVI], ratio VI [RVI], and chlorophyll index–red edge [CI-RE]) from multispectral aerial imagery of small-plot turfgrass experiments. Users can access and download task items from the ArcGIS Online platform for use in ArcGIS Pro. The workflow standardizes processing of aerial imagery to ensure repeatability between sampling dates and across site locations. A guided workflow saves time with assigned commands, ultimately allowing users to obtain a table with plot descriptions and index values within a .csv file for statistical analysis. The workflow was used to analyze aerial imagery from a small-plot turfgrass research study evaluating herbicide effects on St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze] grow-in. To compare methods, index values were extracted from the same aerial imagery by TurfScout, LLC and were obtained by handheld sensor. Index values from the three methods were correlated with visual percentage cover to determine sensitivity (i.e., the ability to detect differences) of the different methodologies. Index values collected by handheld sensor were more sensitive to visual cover than those extracted from aerial imagery. Index values extracted by TurfScout, LLC were generally more sensitive to visual percentage cover than the workflow extraction method, but both detected similar trends of increasing index values as percentage cover increased.

中文翻译:

从小块草坪研究的航空影像中提取植被指数的 ArcGIS Pro 工作流

从航空传感器收集多光谱图像是获取样地级植被指数 (VI) 值的一种方法;然而,捕获后的图像处理和分析对于小地块研究人员来说仍然是一个挑战。使用已建立的例程和命令开发了两个任务项的 ArcGIS Pro 工作流,以从多光谱中提取绘图级 VI 值(归一化差异 VI [NDVI]、比率 VI [RVI] 和叶绿素指数-红边 [CI-RE])小地块草坪试验的航拍图像。用户可以从 ArcGIS Online 平台访问和下载任务项目以在 ArcGIS Pro 中使用。该工作流程标准化了航拍图像的处理,以确保采样日期之间和跨站点位置的可重复性。引导式工作流程通过分配的命令节省时间,最终允许用户在 .csv 文件中获取包含绘图描述和索引值的表格,以进行统计分析。该工作流程用于分析来自小块草坪研究的航空影像,该研究评估了除草剂对圣奥古斯丁草的影响 [Stenotaphrum secundatum (Walt.) Kuntze] 生长。为了比较方法,由 TurfScout, LLC 从相同的航拍图像中提取指数值,并通过手持传感器获得。三种方法的指数值与视觉百分比覆盖率相关,以确定不同方法的灵敏度(即检测差异的能力)。手持传感器收集的指标值对视觉覆盖比从航拍图像中提取的指标值更敏感。TurfScout, LLC 提取的指数值通常比工作流提取方法对视觉百分比覆盖率更敏感,但两者都检测到随着百分比覆盖率增加而增加指数值的相似趋势。
更新日期:2021-11-15
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