中国地表覆盖异质性参数提取与分析
发布时间：2019-04-07 17:21
【摘要】：地表异质性广泛存在于陆地表面各个尺度,是地表参数遥感反演不确定性的主要来源之一。基于高分辨率地表分类参考图,提取出低分辨率混合像元的端元数量和边界长度指标来描述地表异质性。然后以中国地区为例,使用全国30 m空间分辨率Global Land 30地表分类数据集提取出1 km尺度像元的描述混合结构和破碎程度的异质性指标。并基于提取出的异质性指标分析了中国区域在1 km尺度上非均质地表地物类型的组合特征、斑块特征和不同生态群系内部异质性特征。发现山地和生态交错区是主要的高异质性区域,稀树草原生物群系内部异质性最大(平均边界长度为7 426 m),其次依次为森林(4 323 m)、耕地/草地(3 160 m)和灌丛(1 779 m)。
[Abstract]:Surface heterogeneity is widely found in all scales of land surface and is one of the main sources of uncertainty in remote sensing inversion of land surface parameters. Based on the high resolution surface classification reference map, the end element number and boundary length index of low resolution mixed pixels are extracted to describe the surface heterogeneity. Then, taking China region as an example, the heterogeneity index of 1 km scale pixel describing mixed structure and fragmentation degree is extracted by using the national 30 m spatial resolution Global Land 30 surface classification data set. Based on the extracted heterogeneity indexes, the composition characteristics, patch characteristics and internal heterogeneity characteristics of different ecological groups in China were analyzed on the scale of 1 km. It is found that the mountain and ecological intersections are the main regions with high heterogeneity, and the inner heterogeneity of the savanna biota is the largest (the average boundary length is 7 426 m), followed by the forest (4 323 m),). Arable land / grassland (3,160m) and thickets (1,779 m).)
【作者单位】： 中国科学院遥感与数字地球研究所遥感科学国家重点实验室;中国科学院大学资源与环境学院;全球变化研究协同创新中心;
【基金】：国家自然科学基金项目“非均质混合像元遥感反射波谱模型构建及叶面积指数反演方法研究”(编号:41271366) 国家重点基础研究发展计划项目“复杂地表遥感信息动态分析与建模”(编号:2013CB733401)资助~~
【分类号】：P237
本文编号：2454263
[Abstract]:Surface heterogeneity is widely found in all scales of land surface and is one of the main sources of uncertainty in remote sensing inversion of land surface parameters. Based on the high resolution surface classification reference map, the end element number and boundary length index of low resolution mixed pixels are extracted to describe the surface heterogeneity. Then, taking China region as an example, the heterogeneity index of 1 km scale pixel describing mixed structure and fragmentation degree is extracted by using the national 30 m spatial resolution Global Land 30 surface classification data set. Based on the extracted heterogeneity indexes, the composition characteristics, patch characteristics and internal heterogeneity characteristics of different ecological groups in China were analyzed on the scale of 1 km. It is found that the mountain and ecological intersections are the main regions with high heterogeneity, and the inner heterogeneity of the savanna biota is the largest (the average boundary length is 7 426 m), followed by the forest (4 323 m),). Arable land / grassland (3,160m) and thickets (1,779 m).)
【作者单位】： 中国科学院遥感与数字地球研究所遥感科学国家重点实验室;中国科学院大学资源与环境学院;全球变化研究协同创新中心;
【基金】：国家自然科学基金项目“非均质混合像元遥感反射波谱模型构建及叶面积指数反演方法研究”(编号:41271366) 国家重点基础研究发展计划项目“复杂地表遥感信息动态分析与建模”(编号:2013CB733401)资助~~
【分类号】：P237
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1 刘丰;郭建文;;结构化地物的异质性分析及其计算方法[J];遥感技术与应用;2014年01期
，本文编号：2454263
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