Quantitative assessment of 2014–2015 land-cover changes in Azerbaijan using object-based classification of LANDSAT-8 timeseries

Emil Bayramov, Manfred Buchroithner, Rafael Bayramov
2016 Modeling Earth Systems and Environment  
The main goals of this study are the objectbased land-cover classification of LANDSAT-8 satellite imagery of 2014 and 2015, the quantitative assessment of gross and net changes of agricultural land, built-up areas, forest, bare soil and forest between 2014 and 2015, the quantification of the Normalized Difference Vegetation Index (NDVI) rates within these land-cover classes, and the change detection analysis between the NDVIs. The achieved overall accuracies of object-based classification for
more » ... e 2014 and the 2015 land-cover maps were 82 and 87 %, respectively. Therefore, the achieved accuracies were considered to be acceptable for quantified change detection analyses. For the gross areas of agricultural land, forest and built-up areas an increase was observed. The agricultural gross area was 30,911 km 2 in 2014 and 31,999 km 2 in 2015. The gross area of the built-up land increased from 12,550 to 13,548 km 2 . The gross area of forest land changed from 8211 to 9175 km 2 . A decrease was observed in the gross area of grassland from 28,229 to 24,925 km 2 . This was primarily related to the land-cover shifts driven by agricultural activities. The gross areas of
doi:10.1007/s40808-016-0088-8 fatcat:bm5fi6ycyrdqtn4ooniwvb5ve4