This is a good one for LAI: Hemisfer

Link:

http://www.wsl.ch/dienstleistungen/produkte/software/hemisfer/index_EN

If you have hundreds of photos, than the WinSCanopy may be the choice (it performs batch analysis). Otherwise, freeware GLA provides comparable functionality.

Can-eye is a good option

Free software (GLA) can never be as useful, as a commercial (WinScanopy). If you can afford, I suggest Winscanopy. I tried both.

In my experience Winscanopy contains the most comprehensive set of tools to process hemispherical photos, and it has batch processing capabilities. Currently the major issue is the software is not freely released. More cheap alternative is hemisfer with a student licence, or the freeware CANEYE. GLA has manual thresholding, which is not the best way to obtain replicable results.

As an alternative to hemispherical photography, I would suggest you to consider cover photographic method developed by Macfarlane et al. 2007 Agric For Meteorol 143. It is simple, fast and reliable, and relatively insensitive to skythe condition and camera exposure. Take a look at the enclosed papers

Hi Seyed,

I think you can also use some R packages - for example cmartin/LAI

https://github.com/cmartin/LAI

Or as standalone software a solid option is CAN-EYE

https://www6.paca.inra.fr/can-eye/

There is also another free software: Easy Leaf Area

http://www.plant-image-analysis.org/software/easy-leaf-area

details: Article Easy Leaf Area: Automated Digital Image Analysis for Rapid a...

I have compared estimates from GLA, CANEYE and HEMIVIEW with actual pine LAIs calculated from biomass assays, and CANEYE was allowed me to produce the most precise calibration model.

Hi, as addendum of my previous comment, I enclosed an article where yo can find URL to download a freeware (Canopy Cover CaCo) to process cover photography images -

Hi, you could als check the App GLAMA - Gap Light Analysis Mobile that is running on your mobile device. It can be an advantage to instantly gain results in the field.

Dear also you can use Matlab

regards

I have recently played with the 'caiman' package of R (https://github.com/GastonMauroDiaz/caiman) and it is very good. I found it correctly classified fisheye images, even when canopy and sky pixels are not well-contrasted.

Is there any R package that deals with non-hemispherical images?

For non-hemispherical images, particularly restricted FOV images such as cover photography (Article Estimation of Leaf Area Index in eucalypt forest using digit...

I suggest to take a look at the "authothresholdr" package - it contains sixteen thresholding methods translated from another Auto threshold plugin of ImageJ. Some of these thresholding methods have been already tested in canopy images (see Article Standardizing the Protocol for Hemispherical Photographs: Ac...

Article An objective image analysis method for estimation of canopy ...

Also the recent bwimage seems interesting: https://f1000research.com/articles/8-1168/v2