Extraction and Analysis of Land Cover Heterogeneity over 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
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.
Wentao Yu , Jing Li , Qinhuo Liu , Yelu Zeng , Gaofei Yin , Jing Zhao , Baodong Xu . Extraction and Analysis of Land Cover Heterogeneity over China[J]. Advances in Earth Science, 2016 , 31(10) : 1067 -1077 . DOI: 10.11867/j.issn.1001-8166.2016.10.1067
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