Highlighting continued uncertainty in global land cover maps for the user community

被引：159

作者：

Fritz, Steffen ^{[1
]}

See, Linda ^{[1
]}

McCallum, Ian ^{[1
]}

Schill, Christian ^{[1
,2
]}

Obersteiner, Michael ^{[1
]}

van der Velde, Marijn ^{[1
]}

Boettcher, Hannes ^{[1
]}

Havlik, Petr ^{[1
]}

Achard, Frederic ^{[3
]}

机构：

[1] Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria

[2] Univ Freiburg, Dept Remote Sensing & Landscape Informat Syst FeL, D-79106 Freiburg, Germany

[3] European Commiss, Joint Res Ctr, IES, I-21027 Ispra, Italy

来源：

ENVIRONMENTAL RESEARCH LETTERS | 2011年 / 6卷 / 04期

关键词：

land cover validation; uncertainty; cropland; forest cover; VALIDATION; GLC2000;

D O I：

10.1088/1748-9326/6/4/044005

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In the last 10 years a number of new global datasets have been created and new, more sophisticated algorithms have been designed to classify land cover. GlobCover and MODIS v. 5 are the most recent global land cover products available, where GlobCover (300 m) has the finest spatial resolution of other comparable products such as MODIS v. 5 (500 m) and GLC-2000 (1 km). This letter shows that the thematic accuracy in the cropland domain has decreased when comparing these two latest products. This disagreement is also evident spatially when examining maps of cropland and forest disagreement between GLC-2000, MODIS and GlobCover. The analysis highlights the continued uncertainty surrounding these products, with a combined forest and cropland disagreement of 893 Mha (GlobCover versus MODIS v. 5). This letter suggests that data sharing efforts and the provision of more in situ data for training, calibration and validation are very important conditions for improving future global land cover products.

引用

页数：6

共 34 条

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