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  • 标题:Detecting Land Cover Changes in the Volta River Catchment using GIS and Remote Sensing Methods
  • 本地全文:下载
  • 作者:Saviour Mantey ; Naa Dedei Tagoe
  • 期刊名称:Research Journal of Environmental and Earth Sciences
  • 印刷版ISSN:2041-0484
  • 电子版ISSN:2041-0492
  • 出版年度:2013
  • 卷号:5
  • 期号:07
  • 页码:418-424
  • 出版社:Maxwell Science Publications
  • 摘要:Over the years, the Volta River Basin has undergone significant changes in diverse ways. Human activities such as farming and infrastructure development as well as afforestation projects have led to changes in the land cover. The objective of this study was to monitor land cover change within 6 km buffer of the Volta Lake. The shapefile of the study area was co-registered with the Land sat images. Hybridized classification of multi-temporal images was carried out based on unsupervised classification, Normalized Difference Vegetation Index (NDVI), visualization of true/false color composite as well as local knowledge from ground truthing. Readings were taken for 50 geographical positions and corresponding classes of vegetation for estimating classification accuracy. Overall accuracy for the classified 2013 ETM+ image was 88.42%. The results revealed a significant increase in the surface area of the Volta Lake from 4173.34 km 2 in 1985 to 5052.99 km 2 in 2013. An increase of dense vegetation from 367.06 km 2 in 1985 to 1035.07 km2 in 2013 and a significant decrease is sparse vegetation from 3604.71 km2 in 1985 to 2784.01 km 2 in 2013 were revealed. However, when sparse and dense vegetation was considered as one class, an overall decrease of 152.69 km 2 was obtained. Areas with virtually no evidence of vegetation increased from 2029.93 km2 in 1985 to 1303.08 km 2 in 2013.
  • 关键词:Image classification ; land cover ; NDVI ; vegetation ; volta lake ;
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