On the accuracy of landscape pattern analysis using remote sensing data

被引：216

作者：

Shao, Guofan ^{[1
]}

Wu, Jianguo ^{[2
,3
,4
]}

机构：

[1] Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA

[2] Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA

[3] Arizona State Univ, Globe Inst Sustainabil, Tempe, AZ 85287 USA

[4] Inner Mongolia Univ, SUCCESS, Hohhot 010021, Peoples R China

来源：

LANDSCAPE ECOLOGY | 2008年 / 23卷 / 05期

基金：

美国国家科学基金会;

关键词：

landscape pattern; land use and land cover maps; classification accuracy; landscape metrics; errors; remote sensing;

D O I：

10.1007/s10980-008-9215-x

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Advances in remote sensing technologies have provided practical means for land use and land cover mapping which is critically important for landscape ecological studies. However, all classifications of remote sensing data are subject to different kinds of errors, and these errors can be carried over or propagated in subsequent landscape pattern analysis. When these uncertainties go unreported, as they do commonly in the literature, they become hidden errors. While this is apparently an important issue in the study of landscapes from either a biophysical or socioeconomic perspective, limited progress has been made in resolving this problem. Here we discuss how errors of mapped data can affect landscape metrics and possible strategies which can help improve the reliability of landscape pattern analysis.

引用

页码：505 / 511

页数：7

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