Results 11 to 20 of about 31,615 (293)

Modeling the Directional Clumping Index of Crop and Forest [PDF]

open access: yesRemote Sensing, 2018
The Clumping Index (Ω) was introduced to quantify the spatial distribution pattern of vegetation elements. It is crucial to improve the estimation accuracy of vital vegetation parameters, such as Leaf Area Index (LAI) and Gross Primary Production (GPP ...
Jingjing Peng   +6 more
doaj   +2 more sources

Comparison of Canopy Clumping Index Measuring Methods and Analysis of Their Impact

open access: yesRemote Sensing, 2023
The clumping index (CI) is a commonly used vegetation dispersion parameter used to characterize the spatial distribution of the clumping or random distribution of leaves in canopy environments, as well as to determine the radiation transfer of the canopy,
Zhiguo Liang   +3 more
doaj   +2 more sources

Effects of tree trunks on estimation of clumping index and LAI from HemiView and terrestrial LiDAR [PDF]

open access: yesForests, 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   +6 more sources

Estimating fractional vegetation cover from leaf area index and clumping index based on the gap probability theory

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2020
Gap probability theory provides a theoretical equation to calculate fractional vegetation cover (FVC). However, the main algorithms used in present FVC products generation are still the linear mixture model and machine learning methods.
Jing Zhao   +6 more
doaj   +2 more sources

Validation of the MODIS Clumping Index: A Case Study in Saihanba National Forest Park

open access: yesRemote Sensing
The clumping index (CI) describes the level of foliage grouping relative to the random distribution within the canopy. It plays a vital role in the derivation of other important parameters (e.g., the leaf area index, (LAI)) that are usually employed in ...
Siyang Yin   +15 more
doaj   +2 more sources

Variation of Clumping Index With Zenith Angle for Forest Canopies

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2022
Canopy clumping index (CI) characterizes the extent of the nonrandom spatial distribution of foliage elements within a canopy and is critical for determining the radiative transfer, photosynthesis, and transpiration processes in the canopy. It is widely perceived that the CI increases with zenith angle ( θ ), because between-crown gaps decrease in size
Geng, Jun   +12 more
openaire   +3 more sources

Estimating Savanna Clumping Index Using Hemispherical Photographs Integrated with High Resolution Remote Sensing Images

open access: yesRemote Sensing, 2017
In contrast to herbaceous canopies and forests, savannas are grassland ecosystems with sparsely distributed individual trees, so the canopy is spatially heterogeneous and open, whereas the woody cover in savannas, e.g., tree cover, adversely affects ...
Jucai Li   +5 more
doaj   +1 more source

Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests

open access: yesRemote Sensing, 2021
The in situ leaf area index (LAI) measurement plays a vital role in calibrating and validating satellite LAI products. Digital hemispherical photography (DHP) is a widely used in situ forest LAI measurement method.
Jing Liu   +6 more
doaj   +1 more source

Evaluation of the Consistency of the Vegetation Clumping Index Retrieved from Updated MODIS BRDF Data

open access: yesRemote Sensing, 2022
The clumping index (CI) quantifies the foliage grouping within distinct canopies relative to randomly distributed canopies, which plays an important role in the vegetation radiative regime. Among the vegetation structure parameters, the global CI map can
Siyang Yin   +10 more
doaj   +1 more source

A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index

open access: yesRemote Sensing, 2017
The inversion of land surface component temperatures is an essential source of information for mapping heat fluxes and the angular normalization of thermal infrared (TIR) observations. Leaf and soil temperatures can be retrieved using multiple-view-angle
Zunjian Bian   +7 more
doaj   +1 more source

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