Assessment of Nigeriasat-1 satellite data for urban land use/land cover analysis using object-based image analysis in Abuja, Nigeria

被引：3
|
作者：
Chima, Christopher Ifechukwude [1 ]
Trodd, Nigel [1 ]
Blackett, Matthew [1 ]
机构：
[1] Coventry Univ, Dept Geog Environm & Disaster Management, Coventry, W Midlands, England
来源：
GEOCARTO INTERNATIONAL | 2018年 / 33卷 / 09期
关键词：
Nigeriasat-1; Object-based image analysis; land use; land cover; Abuja; CLASSIFICATION ACCURACY ASSESSMENT; INFORMATION;
D O I：
10.1080/10106049.2017.1316778
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This study assesses the usefulness of Nigeriasat-1 satellite data for urban land cover analysis by comparing it with Landsat and SPOT data. The data-sets for Abuja were classified with pixel- and object-based methods. While the pixel-based method was classified with the spectral properties of the images, the object-based approach included an extra layer of land use cadastre data. The classification accuracy results for OBIA show that Landsat 7 ETM, Nigeriasat-1 SLIM and SPOT 5 HRG had overall accuracies of 92, 89 and 96%, respectively, while the classification accuracy for pixel-based classification were 88% for Landsat 7 ETM, 63% for Nigeriasat-1 SLIM and 89% for SPOT 5 HRG. The results indicate that given the right classification tools, the analysis of Nigeriasat-1 data can be compared with Landsat and SPOT data which are widely used for urban land use and land cover analysis.
引用
收藏
页码：893 / 911
页数：19
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