Image-based LAI estimation with gap fraction theory

This repository provides data to develop and test leaf area index (LAI) estimation methods based on phenotyping images.
Crop: Soybean.

Corresponding code:
https://gitlab.ethz.ch/crop_phenotyping/image-based-lai-estimation-with-gap-fraction-theory

Manuscript title: Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography

Manuscript details:
Roth, Lukas, Aasen, Helge, Walter, Achim, and Frank Liebisch. 2018. Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography. ISPRS Journal of Photogrammetry and Remote Sensing.
(https://doi.org/10.1016/j.isprsjprs.2018.04.012).

Repository structure:

- ground_truth: Manual measurements of LAI
- *_plots.csv: Experimental design with genotype names
- *_plants_per_m.csv: Manually counted plants per meter
- *_true_LAI.csv: LAI determined by imaging leaves with image station
- *_LAI_meter.csv: LiCor LAI-2200 measurements
- *_biomass.csv: Measured dry biomass
- *_gravimentric_LAI.csv: Estimated LAI based on relation biomass and LAI
- remote_sensing: Projected visible leaf area based on drone images
- PA_p.csv: Projected leaf area per image
- viewpoint.csv: Viewpoint information for images (e.g., azimuth and zenith angle)
- simulation: Simulated data
- CC.csv: Projected leaf area per simulated image
- camera_position_all.csv: Simulated viewpoint information

本仓库提供用于开发和测试基于表型图像的叶面积指数（LAI）估算方法的数据集。
作物类型：大豆。
对应代码：
https://gitlab.ethz.ch/crop_phenotyping/image-based-lai-estimation-with-gap-fraction-theory

论文标题：利用视几何效应提取叶面积指数——对高分辨率无人机系统摄影的新视角

论文详细信息：
Roth, Lukas, Aasen, Helge, Walter, Achim, 和 Frank Liebisch. 2018. 利用视几何效应提取叶面积指数——对高分辨率无人机系统摄影的新视角. ISPRS摄影测量与遥感杂志.
(https://doi.org/10.1016/j.isprsjprs.2018.04.012).

仓库结构：
- ground_truth：LAI的手动测量值
- *_plots.csv：实验设计，包含基因型名称
- *_plants_per_m.csv：每米手动计数植株数
- *_true_LAI.csv：通过图像站对叶片进行成像确定的LAI
- *_LAI_meter.csv：LiCor LAI-2200测量值
- *_biomass.csv：测量的干生物量
- *_gravimentric_LAI.csv：基于生物量和LAI之间关系的估算LAI
- remote_sensing：基于无人机图像的投影可见叶面积
- PA_p.csv：每图像的投影叶面积
- viewpoint.csv：图像视角信息（例如，方位角和天顶角）
- simulation：模拟数据
- CC.csv：每模拟图像的投影叶面积
- camera_position_all.csv：模拟的视角信息