基于亚像元模型的不透水面景观格局分析——以广州南沙为例

Chuncheng Jiang, Nan-rong Deng, Le-xiang Qian
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摘要

随着城市空间的迅速扩张,原有以植被为主的自然景观逐渐被人工不透水面所取代,研究城市不透水面的比例对于定量描述城市土地内自然覆盖的异质性,合理规划城市具有重要意义。基于V-I-S(植被-不透水面-土壤)模型,利用归一化线性光谱混合模型对2008年广州南沙地区Landsat TM数据进行解混,得到不透水面成分的空间分布,在此基础上进行景观分类、景观指数计算和景观格局分析。结果表明:V-I-S模型与归一化线性光谱混合模型相结合进行亚像元分解,与传统的以像元为单位的景观分类和土地覆被指数计算相比,具有更高的精度;总体上,南沙地区平均不透水面比例较低,说明城市化水平不高,各级城市用地比例差异较大;从黄歌镇到南沙街、横里镇、万清沙镇,景观破碎化程度逐渐减弱,平均斑块面积逐渐增大,高密度城市用地比例下降;高密度城市用地和中等密度城市用地斑块密度、周长分形维数和景观破碎化程度最高,景观形态最复杂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Landscape Pattern Analysis of Impervious Surface Based on Sub-Pixel Model: A Case Study in Nansha, Guangzhou
The original vegetation-based natural landscape has been gradually replaced by the artificial impervious surface because of the rapid expansion of urban space, it's of great significance to study the fraction of a city's impervious surface for quantitatively describing the heterogeneity of natural cover within the urban land and reasonable urban planning. Based on V-I-S (vegetation - impervious surface - soil) model, the 2008 Landsat TM data of Nansha in Guangzhou was unmixed by normalized linear spectral mixture model to get the spatial distribution of the impervious surface fraction, on this basis to do the landscape classification, landscape indices calculation and landscape pattern analysis. The results suggested that the combination of V-I-S model and normalized linear spectral mixture model to unmix sub-pixels has a higher accuracy when compared with the conventional landscape classification with a pixel as the unit and the land cover index calculation; On the whole, the average impervious surface fraction of Nansha was relatively low, indicating the urbanization level was not high, the proportion of each level of urban land existed large difference; From Huangge Town to Nansha Street, Hengli Town and Wanqingsha Town, the level of landscape fragmentation became more weakened, the mean patch area increased gradually, the proportion of high-density urban land use declined; The high-density urban land and the moderate-density urban land had the highest patch density, perimeter area fractal dimension and the level of landscape fragmentation, the shape was the most complex.
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