Results 211 to 220 of about 10,928 (251)

Retrieving Canopy Clumping Index from Terrestrial Laser Scanning Data

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The information about tree canopy structure is crucial for better understanding the process of radiation propagation. Clumping index (CI) describes the nonrandom distribution of foliage in canopy. Terrestrial laser scanning (TLS) has great advantages in obtaining high spatial resolution point cloud.
Yifan Xu 0017, Sen Li, Shihua Li 0002
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Estimation of Mixed Forests Clumping Index and Its Spatial Heterogeneity Study

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Foliage Clumping Index (CI) is an important structural parameter within vegetation canopy, and current satellite-borne CI products mainly retrieved by using the linear relationship between the CI and the normalized difference between hotspot and dark spot (NDHD), while there is no directly model to calculate the CI of mixed forest.
Rui Xie 0001, Ziti Jiao, Yadong Dong, Xiaoning Zhang 0001, Siyang Yin, Lei Cui 0002, Jing Guo 0006, Sijie Li, Zidong Zhu, Yidong Tong   +9 more
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Calculation of clumping index of mixed pixel and scale analysis

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Clumping index is an important vegetation structure parameter to describe the foliage clumping in canopy quantitatively. It is defined as the ratio of the effective leaf area index to the true leaf area index. In previous studies, it is generally considerate that cluster of canopy and below canopy scale in pure pixel.
Qingmiao Ma, Jing Li 0019, Qiang Liu 0009, Qinhuo Liu   +3 more
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Modeling and validation of the angular clumping index of forest canopy

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
The clumping index (CI) is an important factor for deriving forest leaf area index (LAI) at both pixel and point scale. Due to the non-uniform distribution of leaves within trees and random layout of trees under natural conditions, the CI varies with view zenith angle (VZA) as well as the gap fraction. The variation tendency of gap fraction and CI with
Jingjing Peng, Wenjie Fan 0001, Lizhao Wang, Jvcai Li, Dingfang Tian, Xiru Xu   +5 more
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Estimating clumping index of woody canopy with terrestrial lidar data

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
The terrestrial LiDAR technology can provide canopy structural information implicitly contained within point clouds data and it is a popular tool, particularly in forestry applications. Clumping index characterizes the spatial distribution of the canopy and quantifies the degree of the real distribution deviate from the random case.
Shihua Li 0002, Zuqin Liang, Sen Lin 0006, Adu Gong, Jianwei Yue   +4 more
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The Influence of Spatial Resolution on the Retrieval of Clumping Index Based on Polder and Modis Data

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Clumping Index (CI) is an important vegetation structure parameter, which describes the grouping of leaves relative to the random distribution. Multi-angle data of the POLarization and Directionality of Earth Reflectance (POLDER) sensor (about 6×7 km) and the MODerate resolution Imaging Spectradiometer (MODIS) (500 m) are two main sources for global CI
Siyang Yin, Ziti Jiao, Xiaoning Zhang 0001, Lei Cui 0002, Rui Xie 0001, Jing Guo 0006, Zidong Zhu, Sijie Li, Yadong Dong, Yidong Tong   +9 more
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Influence of branch architectures on gap fraction and clumping index of canopies

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Gap fraction (GF) and clumping index (CI) play key roles in plant light interception, and therefore they have strong impacts on plant growth and canopy radiative transfer processes. On the one hand, in the field of remote sensing, leaves were often assumed to be randomly distributed in tree crowns in previous researches.
Jun Geng, Lili Tu, Qingjiu Tian, Xiaofei Wang, Xiaobo Zhu, Yanjun Yang, Ranran Yang, Lei Wang, Chunguang Lv, Yuchen Fang   +9 more
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The computation of foliage clumping index using hemispherical photography

Agricultural and Forest Meteorology, 2009
Hemispherical photography (HP) is extensively used for both canopy architecture such as leaf area index (LAI), and solar radiation regime determinations under forest canopies. This is done mainly by assuming that foliage elements occur in a spatially random manner.
Alemu Gonsamo, Petri Pellikka
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A Software Tool for Retrieving The Clumping Index Product From The MODIS Products

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The foliage Clumping Index (CI) is a key vegetation structure parameter for leaf area index (LAI) estimating and ecological modelling. Previously, several global CI products have been retrieved from the Collection V005 Moderate Resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) products with a temporal ...
Yadong Dong, Jing Guo 0006, Ziti Jiao, Hu Zhang 0001, Xiaoning Zhang 0001, Lei Cui 0002, Siyang Yin, Anxin Ding, Yaxuan Chang, Rui Xie 0001   +9 more
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Global clumping index map derived from modis BRDF products

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
In this study, we show for the first time a global Clumping Index (CI) map at 500 m resolution derived using the Bidirectional Reflectance Distribution Function (BRDF) product from Moderate Resolution Imaging Spectroradiometer (MODIS). We found that the hotspot calculated from the MODIS BRDF product is underestimated in comparison with POLarization and
Liming He, Jing M. Chen, Jan Pisek, Crystal Schaaf, Alan H. Strahler   +4 more
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