How Does Land Use/Land Cover Map's Accuracy Depend on Number of Classification Classes?

被引：21

作者：

Truong Van Thinh ^{[1
]}

Phan Cao Duong ^{[1
,2
]}

Nasahara, Kenlo Nishida ^{[3
]}

Tadono, Takeo ^{[4
]}

机构：

[1] Univ Tsukuba, Grad Sch Life & Environm Sci, 1-1-1 Tennodai, Tsukuba, Ibaraki 3058572, Japan

[2] Vietnam Acad Water Resources, Hydraul Construct Inst, Hanoi, Vietnam

[3] Univ Tsukuba, Fac Life & Environm Sci, Tsukuba, Ibaraki, Japan

[4] Japan Aerosp Explorat Agcy JAXA, Earth Observat Res Ctr, Tsukuba, Ibaraki, Japan

来源：

SOLA | 2019年 / 15卷

关键词：

FOREST; MODIS; IMAGERY;

D O I：

10.2151/sola.2019-006

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

A land use/land cover map is an important input for different applications. However, the accuracy of land cover maps remains a great uncertainty and mapping accuracy assessment is not well-documented. The objective of this paper is to examine the relationship between overall accuracy and the number of classification classes by conducting a literature review of land coved land use studies. The results revealed a weak negative correlation between the map's accuracy and the number of classes. The paper suggests a decrease of 0.77% map's overall accuracy with respect to the increase of 1 land cover class. The average overall accuracy produced by 05 sensor types does not show the big difference. In addition, high spatial resolution sensor such as Airborne might not be always advantageous for producing high overall accuracy map since its accuracy depends on several factors including the number of land cover classes.

引用

页码：28 / 31

页数：4

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