Research Papers

Applicability of spectral and spatial information from IKONOS-2 imagery in retrieving leaf area index of forests in the urban area of Nanjing, China

[+] Author Affiliations
Zhujun Gu

Nanjing University, International Institute for Earth System Science, Nanjing 210093, China

Nanjing Xiaozhuang University, School of Bio-Chemical and Environmental Engineering, Nanjing 211171, China

Weimin Ju

Nanjing University, International Institute for Earth System Science, Nanjing 210093, China

Yibo Liu

Nanjing University, International Institute for Earth System Science, Nanjing 210093, China

Dengqiu Li

Nanjing University, International Institute for Earth System Science, Nanjing 210093, China

Weiliang Fan

Nanjing University, International Institute for Earth System Science, Nanjing 210093, China

J. Appl. Remote Sens. 6(1), 063556 (Sep 20, 2012). doi:10.1117/1.JRS.6.063556
History: Received February 5, 2012; Revised June 10, 2012; Accepted June 21, 2012
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Abstract.  Remote sensing is currently an indispensable tool for retrieving the leaf area index (LAI) of forests. However, the applicability of remote sensing in retrieving LAI of forests in urban areas has not been thoroughly investigated. The ability of spectral and spatial information from IKONOS-2 imagery to retrieve LAI of forests was studied through analyzing the correlations of four commonly used vegetation indices (VIs) and four texture measures (TEXs) with LAI measured at different types of plots in the urban area of Nanjing, China and comparing the ability of models based on these parameters to estimate LAI of forests. The results show that VIs and TEXs calculated from the high-resolution remote sensing data are both applicable in retrieving LAI of forests in urban areas. The relative advantages of VIs and TEXs are related to the density and spatial regularity of forests. TEX exceeds VI for regularly planted low broad-leaf forests with low density owing to the deterioration of the linkage of VIs with canopy LAI caused by strong soil noise. For forests with moderate and high density, VI exceeds TEX in the retrieval of LAI. As to natural broad-leaf forests with high density and spatial complexity, combining VI and TEX can improve the accuracy of the retrieved LAI by 8.9% to 27.0%. VIs and TEXs are exclusive in retrieving LAI due to the intrinsic linkages of these parameters. The atmospherically resistant vegetation index over-perform other VIs in retrieving LAI of forests owing to its ability to constrain atmospheric disturbance on remote sensing data, which is serious and exhibits great spatial variability in the study area.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Zhujun Gu ; Weimin Ju ; Yibo Liu ; Dengqiu Li and Weiliang Fan
"Applicability of spectral and spatial information from IKONOS-2 imagery in retrieving leaf area index of forests in the urban area of Nanjing, China", J. Appl. Remote Sens. 6(1), 063556 (Sep 20, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.063556


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