尼日利亚东南部土地覆盖去除和沟壑发展:用像素和OBIA方法并列的30年分析

S. Iro
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引用次数: 2

摘要

在这项研究中,对尼日利亚东南部的沟壑侵蚀进行了研究。目前,在区域范围内对沟壑发展的研究由于持续实地监测的固有费用和缺乏进行时间序列分析的历史测量而受到损害。因此,很少有研究将该地区的沟壑作为一个集体进行长期分析。因此,对环境变化对沟壑发育作用的认识的建立受到了抑制。通过Landsat存档的遥感方法被用作低经济数据源,协助分析1986年至2015年期间的沟渠。Landsat数据用于通过像素和基于目标的分类来确定土地覆盖在一段时间内的变化,以确定其在沟壑发展中的作用。为此目的使用分类方法,这一研究在尼日利亚尚属首次。旨在将当前多个地点的环境特征和土地覆盖变化与沟壑发育和侵蚀速率联系起来。在植被面积与沟壑/空地发育的相关性方面,基于Pixel的分类产生了r = -0.9 (p<0.05)的相关性。OBIA的相关系数为-0.9 (p<0.05),两者均表明1986-2015年植被面积与沟壑区/开阔地开发呈显著负相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Land-Cover Removal and Gully Development in Southeast Nigeria: A 30-Year Analysis with Pixel and OBIA Approaches in Juxtaposition
In this study a study of gully erosion in southeast Nigeria is presented. The study of gully development on a regional scale is currently undermined by the inherent costs associated with consistent field monitoring and the lack of historic measurements to perform time series analysis. As a result, there are very few studies which implement long term analyses of gullies in the region as a collective. Consequently, the building of knowledge of the role of environmental changes on the development of gullies is inhibited. Remote sensing methodologies, via the Landsat archive, are used as low economic data source that assisted in the analyses of gullies over the time period 1986 to 2015. The Landsat data is used to establish land cover changes over the time period, via pixel and object-based classification, to identify its role in gully development. The use of classification for this purpose identifies this study as a first of its kind in Nigeria. Aiming to link environmental characteristics and land cover changes with gully development and erosion rates at multiple current locations. In terms of the correlation between vegetation area and gully/openland development, Pixel based classification produced a correlation of r = -0.9 (p<0.05). A similar strength of correlation was exhibited for OBIA with r = -0.9 (p<0.05) with both results indicating a very strong and significant negative correlation between the amount of vegetated area and Gully/open-land development over the study period 1986-2015.
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