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Remote sensing based land use/land cover change detection and drivers of change for the period 1964-2005 in Tigray, Ethiopia.

机译:埃塞俄比亚三角地区遥感土地利用/土地使用/土地覆盖变更检测及改变驱动因素。

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Land use/land cover (LULC) dynamics and their drivers of change in Tigray, Ethiopia were investigated for the period 1964-2005 using remotely sensed data and multiple logistic regression models. Within this period, agricultural land areas increased significantly (from 10percent in 1964 to 40percent in 2005) at the expense of natural vegetation (woodland and shrub land). The decline in woodland area was particularly significant (from 28percent in 1964 to 3percent in 2005) with the largest changes in the period before 1994. For Landsat TM based classification of 1994, overall accuracy and overall Kappa statistics were 77.45 and 70.45percent, respectively. The 2005 classification using Landsat ETM+ achieved an overall accuracy and Kappa statistics of 73.45 and 66.63percent, respectively. The results from multiple logistic regression show that anthropogenic drivers were the primary drivers for LULC change. Between 1964 and 1994 woodland areas were primarily reduced in remote areas, likely due to war, drought and famine, whereas in recent decades until 2005 reductions in woodland and expansion and intensification of agriculture were associated with road construction, settlement expansions and population pressure. The study provides an approach that can help to understand LULC changes in relation to their drivers in heterogeneous landscapes of tropical highlands.
机译:使用远程感测数据和多个逻辑回归模型,在1964 - 2005年期间调查了土地使用/陆地覆盖(LULC)动态及其改变驱动器,埃塞俄比亚进行了调查。在此期间,农业土地地区以自然植被(林地和灌木土地)为代价,农业用地地区大幅增加(从1964年的1064年到405岁)。林地地区的下降特别重要(从1964年的285人到2005年的355人),1994年之前的变化最大。对于1994年的Landsat TM分类,总体准确性和千卡统计分别为77.45和70.45%。 2005年使用Landsat ETM的分类+分别实现了73.45和66.633分别的整体准确性和κ统计。多元逻辑回归的结果表明,人为司机是LULC变化的主要驱动因素。在1964年至1994年间,林地地区主要在偏远地区减少,可能因战争,干旱和饥荒而减少,而近几十年论林地的减少至2005年,农业的扩张和农业的扩张与道路建设相关,沉降扩张和人口压力有关。该研究提供了一种方法,可以帮助了解LULC与热带地区异质景观中的司机的改变。

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