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

机译:使用基于对象的LANDSAT-8时间序列分类对阿塞拜疆2014-2015年土地覆盖变化进行定量评估

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摘要

The main goals of this study are the object-based 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 the 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 increasewas observed. The agricultural gross area was 30,911 km2 in 2014 and 31,999 km2 in 2015. The gross area of the built-up land increased from 12,550 to 13,548 km2. The gross area of forest land changed from 8211 to 9175 km2. A decrease was observed in thegross area of grassland from 28,229 to 24,925 km2. This was primarily related to the land-cover shifts driven by agricultural activities. The gross areas ofbare soil and water bodies did not change significantly. The net change analysis, however, revealed significant differences in comparison to gross change areas for both gains and losses of the land-cover classes. The net change analysis revealed positivenet changes of 7229, 5576, 1337, 399, 951 km2 for agricultural land, forest, built-up areas, bare soil and water bodies, correspondingly. A negative net change of 2198 km2 was observed for grassland. This allows to conclude that the negative net changeof grassland was related with the significant changes of grassland into agricultural land. No significant net changes were observed for the bare soil land-cover class. The classification of NDVIs derived from 2014 to 2015 LANDSAT-8 OLI satellite images showed that the vegetation cover of agricultural and built-up land-cover increased for the low (0.1-0.2) and medium (0.2-0.3) and decreased for the high NDVI values (0.3-1). The area of high (0.3-1) NDVIs in the forest land-cover was observed to be higherin 2015 than in 2014. A reduction in the low (0.1-0.2), medium (0.2-0.3) and high NDVI values (0.3-1) was observed for the grasslands land-cover. The reductions of the high NDVI rates (0.3-1) observed for agricultural, build-up and grasslands land-covertypes may be related to agricultural and industrial activities and also to climate change impacts. For the entire coverage of Azerbaijan, positive and negative NDVI changes of 3170 and 3859 km2 respectively were observed.
机译:这项研究的主要目标是对2014年和2015年LANDSAT-8卫星图像进行基于对象的土地覆盖分类,对农业用地,建成区,森林,裸土和森林之间的总和净变化进行定量评估2014年和2015年,对这些土地覆盖类别中的归一化植被指数(NDVI)速率进行量化,并进行NDVI之间的变化检测分析。 2014年和2015年土地覆盖图的基于对象分类的总体准确度分别为82%和87%。因此,所获得的精度被认为可以用于定量变化检测分析。对于农业用地,森林和建成区的总面积,观察到增加。 2014年农业总面积为30,911平方公里,2015年为31,999平方公里。已建成土地的总面积从12,550平方公里增加到13,548平方公里。林地总面积从8211变为9175 km2。草地总面积从28,229平方公里减少到24,925平方公里。这主要与农业活动驱动的土地覆盖变化有关。裸露的土壤和水体的总面积没有明显变化。然而,净变化分析显示,相对于总变化面积而言,土地覆盖类别的收益和损失都存在显着差异。净变化分析显示,相应的农业用地,森林,建成区,裸露的土壤和水体的净变化为7229、5576、1337、399、951 km2。草原的净变化为2198平方公里。这可以得出结论,草地的负净变化与草地向农业用地的显着变化有关。对于裸土土地覆盖类别,未观察到明显的净变化。从2014年至2015年LANDSAT-8 OLI卫星图像得出的NDVI分类显示,低(0.1-0.2)和中(0.2-0.3)的农业和建筑用地覆盖的植被覆盖度升高,高(低)的植被覆盖度降低NDVI值(0.3-1)。据观察,2015年林地覆盖面积的高(0.3-1)NDVI面积比2014年高。低(0.1-0.2),中(0.2-0.3)和高NDVI值(0.3- 1)观察到了草原的土地覆盖。农业,耕地和草地土地覆盖类型的高NDVI率(0.3-1)的降低可能与农业和工业活动以及气候变化影响有关。对于阿塞拜疆的整个覆盖范围,NDVI的正负变化分别为3170和3859 km2。

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