23.2.4 Clumping Index, Measurement, Effects

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Clumping Index. Quantifies the foliage grouping within distinct canopies relative to randomly distributed canopies.

Simic, A., Chen, J.M., Freemantle, J., Miller, J.R., Pisek, J.,
Improving Clumping and LAI Algorithms Based on Multiangle Airborne Imagery and Ground Measurements,
GeoRS(48), No. 4, April 2010, pp. 1742-1759.
LAI: Leaf Area Index BibRef

Pisek, J.[Jan], Chen, J.M.[Jing M.], Lacaze, R.[Roselyne], Sonnentag, O.[Oliver], Alikas, K.[Krista],
Expanding global mapping of the foliage clumping index with multi-angular POLDER three measurements: Evaluation and topographic compensation,
PandRS(65), No. 4, July 2010, pp. 341-346.
Elsevier DOI 1003
Multi-angle remote sensing; Vegetation clumping index; POLDER; BRDF BibRef

Zhu, G., Ju, W., Chen, J.M., Gong, P., Xing, B., Zhu, J.,
Foliage Clumping Index Over China's Landmass Retrieved From the MODIS BRDF Parameters Product,
GeoRS(50), No. 6, June 2012, pp. 2122-2137.

Gonsamo, A., Chen, J.M.,
Improved LAI Algorithm Implementation to MODIS Data by Incorporating Background, Topography, and Foliage Clumping Information,
GeoRS(52), No. 2, February 2014, pp. 1076-1088.
curve fitting BibRef

Pisek, J.[Jan], Govind, A.[Ajit], Arndt, S.K.[Stefan K.], Hocking, D.[Darren], Wardlaw, T.J.[Timothy J.], Fang, H.L.[Hong-Liang], Matteucci, G.[Giorgio], Longdoz, B.[Bernard],
Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites,
PandRS(101), No. 1, 2015, pp. 47-56.
Elsevier DOI 1503
Multi-angle remote sensing BibRef

Li, Y.M.[Yu-Mei], Guo, Q.H.[Qing-Hua], Su, Y.J.[Yan-Jun], Tao, S.L.[Sheng-Li], Zhao, K.G.[Kai-Guang], Xu, G.C.[Guang-Cai],
Retrieving the gap fraction, element clumping index, and leaf area index of individual trees using single-scan data from a terrestrial laser scanner,
PandRS(130), No. 1, 2017, pp. 308-316.
Elsevier DOI 1708
Destructive, sample BibRef

Li, J.[Jucai], Fan, W.J.[Wen-Jie], Liu, Y.[Yuan], Zhu, G.L.[Gao-Long], Peng, J.J.[Jing-Jing], Xu, X.[Xiru],
Estimating Savanna Clumping Index Using Hemispherical Photographs Integrated with High Resolution Remote Sensing Images,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702

Bian, Z.J.[Zun-Jian], Cao, B.[Biao], Li, H.[Hua], Du, Y.M.[Yong-Ming], Song, L.S.[Li-Sheng], Fan, W.J.[Wen-Jie], Xiao, Q.[Qing], Liu, Q.H.[Qin-Huo],
A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
And: Addendum: RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711

Kuusk, A.[Andres], Pisek, J.[Jan], Lang, M.[Mait], Märdla, S.[Silja],
Estimation of Gap Fraction and Foliage Clumping in Forest Canopies,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808

Dong, Y.D.[Ya-Dong], Jiao, Z.[Ziti], Yin, S.Y.[Si-Yang], Zhang, H.[Hu], Zhang, X.N.[Xiao-Ning], Cui, L.[Lei], He, D.D.[Dan-Dan], Ding, A.X.[An-Xin], Chang, Y.X.[Ya-Xuan], Yang, S.T.[Sheng-Tian],
Influence of Snow on the Magnitude and Seasonal Variation of the Clumping Index Retrieved from MODIS BRDF Products,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Fang, H.L.[Hong-Liang], Liu, W.W.[Wei-Wei], Li, W.J.[Wen-Juan], Wei, S.S.[Shan-Shan],
Estimation of the directional and whole apparent clumping index (ACI) from indirect optical measurements,
PandRS(144), 2018, pp. 1-13.
Elsevier DOI 1809
Apparent clumping index (ACI), Directional ACI, Whole ACI, Leaf area index (LAI), Optical instruments, Rice BibRef

Peng, J.J.[Jing-Jing], Fan, W.J.[Wen-Jie], Wang, L.Z.[Li-Zhao], Xu, X.[Xiru], Li, J.[Jvcai], Zhang, B.T.[Bei-Tong], Tian, D.F.[Ding-Fang],
Modeling the Directional Clumping Index of Crop and Forest,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
Depending on the angle, objects (i.e. trees) have very different spatial properties, cover more of the scene. BibRef

Zhen, Z., Chen, S., Qin, W., Yan, G., Gastellu-Etchegorry, J., Cao, L., Murefu, M., Li, J., Han, B.,
Potentials and Limits of Vegetation Indices With BRDF Signatures for Soil-Noise Resistance and Estimation of Leaf Area Index,
GeoRS(58), No. 7, July 2020, pp. 5092-5108.
Indexes, Vegetation mapping, Estimation, Soil, Soil measurements, Remote sensing, Optical sensors, Angular index, clumping index, Soil-Adjusted Vegetation Index (SAVI) BibRef

Zhen, Z.J.[Zhi-Jun], Chen, S.[Shengbo], Yin, T.G.[Tian-Gang], Gastellu-Etchegorry, J.P.[Jean-Philippe],
Improving Crop Mapping by Using Bidirectional Reflectance Distribution Function (BRDF) Signatures with Google Earth Engine,
RS(15), No. 11, 2023, pp. 2761.
DOI Link 2306

Cui, L.[Lei], Jiao, Z.[Ziti], Zhao, K.[Kaiguang], Sun, M.[Mei], Dong, Y.D.[Ya-Dong], Yin, S.Y.[Si-Yang], Zhang, X.N.[Xiao-Ning], Guo, J.[Jing], Xie, R.[Rui], Zhu, Z.D.[Zi-Dong], Li, S.[Sijie], Tong, Y.D.[Yi-Dong],
Retrieving Forest Canopy Elements Clumping Index Using ICESat GLAS Lidar Data,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103

Hu, K.H.[Ke-Hong], Zhang, Z.[Zhen], Fang, H.L.[Hong-Liang], Lu, Y.J.[Yi-Jie], Gu, Z.N.[Zheng-Nan], Gao, M.[Min],
Spatio-Temporal Characteristics and Driving Factors of the Foliage Clumping Index in the Sanjiang Plain from 2001 to 2015,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
Agricultural restoration in marsh area. BibRef

Chen, B.[Bin], Lu, X.[Xuehe], Wang, S.Q.[Shao-Qiang], Chen, J.M.[Jing M.], Liu, Y.[Yang], Fang, H.L.[Hong-Liang], Liu, Z.[Zhenhai], Jiang, F.[Fei], Arain, M.A.[Muhammad Altaf], Chen, J.H.[Jing-Hua], Wang, X.B.[Xiao-Bo],
Evaluation of Clumping Effects on the Estimation of Global Terrestrial Evapotranspiration,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110

Yin, S.Y.[Si-Yang], Jiao, Z.[Ziti], Dong, Y.D.[Ya-Dong], Zhang, X.N.[Xiao-Ning], Cui, L.[Lei], Xie, R.[Rui], Guo, J.[Jing], Li, S.[Sijie], Zhu, Z.D.[Zi-Dong], Tong, Y.D.[Yi-Dong], Wang, C.X.[Chen-Xia],
Evaluation of the Consistency of the Vegetation Clumping Index Retrieved from Updated MODIS BRDF Data,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
Quantifies the foliage grouping within distinct canopies relative to randomly distributed canopies. BibRef

Li, Y.[Yu], Fang, H.L.[Hong-Liang],
Real-Time Software for the Efficient Generation of the Clumping Index and Its Application Based on the Google Earth Engine,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
Canopy clumping index. Vegetation phenology and structure. BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
FAPAR: Fraction of Absorbed Photosynthetically Active Radiation, FPAR .

Last update:Jun 5, 2024 at 10:22:22