中国地表覆盖异质性参数提取与分析

  • 于文涛 ,
  • 李静 ,
  • 柳钦火 ,
  • 曾也鲁 ,
  • 尹高飞 ,
  • 赵静 ,
  • 徐保东
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  • 1.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,北京 100101
    2.全球变化研究协同创新中心, 北京 100875
    3.中国科学院大学 资源与环境学院,北京 100049

作者简介:于文涛(1995-),男,安徽五河人,硕士研究生,主要从事复杂地表的叶面积指数反演方法研究.E-mail:1096392329@qq.com

*通信作者:李静(1978-),女,黑龙江齐齐哈尔人,副研究员,主要从事植被辐射传输模型,叶面积指数反演等研究.E-mail:lijing01@radi.ac.cn

收稿日期: 2016-07-04

  修回日期: 2016-08-20

  网络出版日期: 2016-10-20

基金资助

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

版权

, 2016,

Extraction and Analysis of Land Cover Heterogeneity over China

  • Wentao Yu ,
  • Jing Li ,
  • Qinhuo Liu ,
  • Yelu Zeng ,
  • Gaofei Yin ,
  • Jing Zhao ,
  • Baodong Xu
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  • 1.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
    2.Joint Centre for Global Change Studies (JCGCS), Beijing 100875, China
    3.College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

First author:Yu Wentao(1995-), male, Wuhe County, Anhui Province, Master student. Research areas include LAI inversion methods of complex land surface.E-mail:1096392329@qq.com

*Corresponding author:Li Jing(1978-), female, Qiqihar City, Helongjiang Province, Associate Professor. Research areas include vegetation radiative transfer model and LAI inversion.E-mail:lijing01@radi.ac.cn

Received date: 2016-07-04

  Revised date: 2016-08-20

  Online published: 2016-10-20

Supported by

Project supported by the National Natural Science Foundation of China “Construction of remote-sensed reflectance spectrum model and research on LAI inversion method over inhomogeneous mixed pixel”(No.41271366);The State Key Development Program for Basic Research of China “Dynamic analysis and modeling of remote sensing information over complex surface” (No.2013CB733401)

Copyright

地球科学进展 编辑部, 2016,

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GlobalLand 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)。

本文引用格式

于文涛 , 李静 , 柳钦火 , 曾也鲁 , 尹高飞 , 赵静 , 徐保东 . 中国地表覆盖异质性参数提取与分析[J]. 地球科学进展, 2016 , 31(10) : 1067 -1077 . DOI: 10.11867/j.issn.1001-8166.2016.10.1067

Abstract

Spatial heterogeneity exists in land surface at every scale, and it is one of key factors to bring uncertainty to land parameter retrieval from remote-sensed data. This paper proposed a methodology to use the boundary length among different land cover types to characterize and quantify land surface heterogeneity based on high-resolution land cover images. Then the heterogeneity feature at 1 kilometer scale in China was extracted from “GlobalLand30” land cover datasets with the spatial resolution of 30 m. The mixed structure, degree of fragmentation and intra-heterogeneity of eight main vegetation biomes from MODIS land cover product over heterogeneous surface in china were analyzed. Mountain area and ecotone are more heterogeneous than other regions. Savanna biome (average boundary length is 7 426 meters) is the most heterogeneous zone followed by forest, grass/crop and shrub biome with average boundary length of 4 323, 3 160, 1 779 meters, respectively.

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