Estimating Vineyard Canopy LAI with a SfM Point Cloud

Hello all,

My name is Adam, I am a PhD candidate in the Department of Geography at Texas State University-San Marcos in San Marcos, Texas (between Austin and San Antonio).  I, along with my co-author and advisor Jennifer Jensen, recently published a paper in Remote Sensing using a UAV-collected structure from motion (SfM) point cloud to estimate vineyard canopy LAI at a study vineyard in the Texas Hill Country.  

Using the point cloud instead of a lidar dataset, we calculated  several per-vine height-based metrics and compared these values to ceptometer-measured LAI values.  The results of our preliminary study suggest that a SfM point cloud may be able to be used to estimate LAI, although currently only accounting for 57% of the variation in observed LAI.

If you are interested in reading the full paper, you can download it here:

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Comment by Jonathan Dandois on May 13, 2013 at 11:04am

Hi Adam, 

Welcome to the community website, thanks for posting, and congratulations on your publication.  It is interesting that you noted several LIDAR based studies that showed similar LAI prediction power as the SFM technique.  Perhaps measures of structure alone are not enough for estimating LAI and other types of remote sensing data are needed.



Comment by Adam Mathews on May 15, 2013 at 4:18pm

Hi Jonathan,

Good point, and something I've thought about quite a bit.  I am looking into fusing some other datasets with the SfM data to improve the results.  Thanks for the comment,



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