Using vegetation indices and texture measures to estimate vegetation fractional coverage (VFC) of planted and natural forests in Nanjing city, China

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• 作者：Zhujun Gu^a ; ^b ; ¹ ; ^{zhujungu@163.com} ; Weimin Ju^a ; ^{juweimin@nju.edu.cn} ; Lin Li^c ; ¹ ; ^{ll3@iupui.edu} ; Dengqiu Li^a ; ¹ ; ^{lidengqiu001@163.com} ; Yibo Liu^a ; ¹ ; ^{yiboliu2012@163.com} ; Weiliang Fan^a ; ¹ ; ^{fanweiliang@163.com}
• 关键词：Vegetation fractional coverage ; IKONOS_2 ; Vegetation index ; Texture
• 刊名：Advances in Space Research
• 出版年：2013
• 出版时间：1 April, 2013
• 年：2013
• 卷：51
• 期：7
• 页码：1186-1194
• 全文大小：426 K

文摘

Vegetation fractional coverage (VFC) is an important vegetation parameter affecting exchanges of carbon, water, energy between the atmosphere and surface. In this study, the applicability of tonal and texture measures calculated using an IKONOS_2 image in retrieving VFC of forests was investigated in the urban area of Nanjing city, China. Four spectral vegetation indices (VI) and six texture measures (TEX) were related to VFCs acquired from in situ measurements. Models for estimating VFC based on VIs or/and TEXs were established and validated for planted low broad-leaf forest plots (PLB), planted mature forest plots (PMF), natural broad-leaf forest plots (NBF), and all forest plots (ALLv), respectively. The results show that high spatial resolution remote sensing data is applicable to estimate VFC in urban areas, and TEXs may act as effective supplements of vegetation indices (VIs) for the retrieval of VFC. VIs are suitable for VFC estimation of mature forests (such as NBF and PMF) with high vegetation density, and TEXs can yield a more accurate estimate for planted forests (such as PLB and PMF) with regular spatial distribution if they are calculated with proper parameters, such as window size. The combination of VIs and TEXs improve the estimation of VFC if forest types are not previously differentiated. The results can be used as a reference for determining effective spectral or texture parameters in VFC estimation under similar environmental conditions according to vegetation maturity and regularity.