HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs
Abstract 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...
Main Authors: | Luke A. Brown, Harry Morris, Sylvain Leblanc, Gabriele Bai, Christian Lanconelli, Nadine Gobron, Courtney Meier, Jadunandan Dash |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-09-01
|
Series: | Methods in Ecology and Evolution |
Subjects: | |
Online Access: | https://doi.org/10.1111/2041-210X.14199 |
Similar Items
-
Estimating yield-contributing physiological parameters of cotton using UAV-based imagery
by: Amrit Pokhrel, et al.
Published: (2023-09-01) -
Response of Evapotranspiration, Photosynthetic Characteristics and Yield of Soybeans to Groundwater Depth
by: Zhenchuang Zhu, et al.
Published: (2024-01-01) -
Generating high spatial resolution GLASS FAPAR product from Landsat images
by: Huaan Jin, et al.
Published: (2022-12-01) -
Evaluation of Soil Water Content Measurements with Capacitance Probes to Support Irrigation Scheduling in a “Red Beaut” Japanese Plum Orchard
by: Sandra Millán, et al.
Published: (2020-11-01) -
Improve the Simulation of Radiation Interception and Distribution of the Strip-Intercropping System by Considering the Geometric Light Transmission
by: Liming Dong, et al.
Published: (2024-01-01)