Effects of tree trunks on estimation of clumping index and LAI from HemiView and terrestrial LiDAR [PDF]
, 2018 Estimating clumping indices is important for determining the leaf area index (LAI) of forest canopies. The spatial distribution of the clumping index is vital for LAI estimation.
Bao, Yunfei +5 more
core +3 more sources
hemispheR: an R package for fisheye canopy image analysis
bioRxiv, 2022 Hemispherical photography is a relevant tool to estimate canopy attributes such as leaf area index (LAI). Advancements in digital photography and image processing tools have supported long-lasting use of digital hemispherical photography (DHP).
F. Chianucci, M. Macek
semanticscholar +1 more source
Validating canopy clumping retrieval methods using hemispherical photography in a simulated Eucalypt forest [PDF]
, 2017 The so-called clumping factor (Ω) quantifies deviation from a random 3D distribution of material in a vegetation canopy and therefore characterises the spatial distribution of gaps within a canopy.
Armston +71 more
core +4 more sources
Coupling carbon allocation with leaf and root phenology predicts tree-grass partitioning along a savanna rainfall gradient [PDF]
, 2015 © Author(s) 2016. The relative complexity of the mechanisms underlying savanna ecosystem dynamics, in comparison to other biomes such as temperate and tropical forests, challenges the representation of such dynamics in ecosystem and Earth system models ...
Beringer, J +8 more
core +6 more sources
Optimization of Lai Estimation Method Based on Smartphones with Fisheye Lens
International Journal of Circuits, Systems and Signal Processing, 2023 Leaf area index (LAI) is an important biological factor reflecting vegetation growth and forest ecosystem. LAI can be used to obtain plant health status, carbon cycle, and surrounding ecological environment effectively.
Lichen Zhu +3 more
semanticscholar +1 more source
Crop Phenology Modelling Using Proximal and Satellite Sensor Data [PDF]
, 2023 peer reviewedUnderstanding crop phenology is crucial for predicting crop yields and identifying potential risks to food security. The objective was to investigate the effectiveness of satellite sensor data, compared to field observations and proximal ...
Curnel, Yannick +10 more
core +4 more sources
Algorithm for assessing forest stand productivity index using leaf area index [PDF]
, 2019 This paper describes a development of an algorithm for assessing stand productivity by considering the stand variables. Forest stand productivity is one of the crucial information that required to establish the business plan for unit management at the ...
Abdul Manan, Faid +3 more
core +2 more sources
RAMI workshop - Radiative Transfer Modelling support to EO metrology and Cal/Val activities [PDF]
, 2023 This document summarizes the main outcomes of the workshop on Radiative Transfer Modelling support to Earth Observation (EO) metrology and Cal/Val activities held the 7-9 June 2023 in Varese (IT). RAdiation transfer Model Intercomparison (RAMI) offers a
GOBRON Nadine +3 more
core +1 more source
A note on estimating canopy cover from digital cover and hemispherical photography
, 2015 Fast and accurate estimates of canopy cover are central for a wide range of forestry studies. As direct measurements are impractical, indirect optical methods have often been used in forestry to estimate canopy cover. In this paper the accuracy of canopy
Silva Fennica, F. Chianucci
semanticscholar +1 more source
Stage 1 Validation of Plant Area Index from the Global Ecosystem Dynamics Investigation [PDF]
, 2023 The Global Ecosystem Dynamics Investigation (GEDI) aims to provide improved characterization of forest structure, and plant area index (PAI) is one of many variables provided in the official GEDI Level 2B (L2B) product suite.
Brown, Luke +7 more
core +2 more sources