HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs

Digital hemispherical photography (DHP) is widely used to derive forest biophysical variables including leaf, plant, and green area index (LAI, PAI and GAI), the fraction of intercepted photosynthetically active radiation (FIPAR), and the fraction of vegetation cover (FCOVER). However, the majority...

Full description

Saved in:

Bibliographic Details
Published in:	Methods in ecology and evolution Vol. 14; no. 9; pp. 2329 - 2340
Main Authors:	Brown, Luke A., Morris, Harry, Leblanc, Sylvain, Bai, Gabriele, Lanconelli, Christian, Gobron, Nadine, Meier, Courtney, Dash, Jadunandan
Format:	Journal Article
Language:	English
Published:	London John Wiley & Sons, Inc 01.09.2023 Wiley
Subjects:	Automation Batch processing Classification digital hemispherical photography Eye Forests fraction of absorbed photosynthetically active radiation fraction of intercepted photosynthetically active radiation fraction of vegetation cover Graphical user interface green area index Image processing leaf area index Litter fall Modules Neon Photography Photosynthetically active radiation plant area index Propagation Radiation Root-mean-square errors Software Software packages Uncertainty Uncertainty analysis Variables Vegetation Vegetation cover
ISSN:	2041-210X, 2041-210X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!