文章基本信息

标题：Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS
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作者：Sophia S. Rwanga ; J. M. Ndambuki
期刊名称：International Journal of Geosciences
印刷版ISSN：2156-8359
电子版ISSN：2156-8367
出版年度：2017
卷号：8
期号：4
页码：611-622
DOI：10.4236/ijg.2017.84033
语种：English
出版社：Scientific Research Pub
摘要：Remote sensing is one of the tool which is very important for the production of Land use and land cover maps through a process called image classification. For the image classification process to be successfully, several factors should be considered including availability of quality Landsat imagery and secondary data, a precise classification process and user’s experiences and expertise of the procedures. The objective of this research was to classify and map land-use/land-cover of the study area using remote sensing and Geospatial Information System (GIS) techniques. This research includes two sections (1) Landuse/Landcover (LULC) classification and (2) accuracy assessment. In this study supervised classification was performed using Non Parametric Rule. The major LULC classified were agriculture (65.0%), water body (4.0%), and built up areas (18.3%), mixed forest (5.2%), shrubs (7.0%), and Barren/bare land (0.5%). The study had an overall classification accuracy of 81.7% and kappa coefficient (K) of 0.722. The kappa coefficient is rated as substantial and hence the classified image found to be fit for further research. This study present essential source of information whereby planners and decision makers can use to sustainably plan the environment.
关键词：Accuracy assessmentGeographic Information Systems (GIS)Land Use Land Cover (LULC)Remote Sensing