Prospective Mapping of Land Cover and Land Use in The Classified Forest of The Upper Alibori Based on Satellite Imagery

Dramane Issiako, Ousséni Arouna, Karimou Soufiyanou, Ismaïla Toko Imorou, B. Tente
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引用次数: 6

Abstract

The dynamics of land cover and land use in the classified forest of the upper Alibori (FCAS) in relation to the disturbance of agro-pastoral activities is a major issue in the rational management of forest resources. The objective of this research is to simulate the evolutionary trend of land cover and land use in the FCAS by 2069 based on satellite images. Landsat images from 2009, 2014 and 2019 obtained from the earthexplorer-usgs archive were used. The methods used are diachronic mapping and spatial forecasting based on senarii. The MOLUSCE module available under QGIS remote sensing 2.18.2 is used to simulate the future evolution of land cover and land use in the FCAS. The land cover and use in the year 2069 is simulated using cellular automata based on the scenarios. The results show that natural land cover units have decreased while anthropogenic formations have increased between 2009 and 2014 and between 2014 and 2019. Under the "absence multi-criteria zoning (MZM)" scenario over a 50-year interval, land cover and use will be dominated by crop-fallow mosaics (88%). On the other hand, the scenario "implementation of a multicriteria zoning (MZE)", was issued with the aim of reversing the regressive trend of vegetation types by making a rational and sustainable management of resources.
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基于卫星影像的上游阿里伯里分类森林土地覆盖与土地利用远景制图
在农牧活动干扰下,上阿里伯里分类森林土地覆被和土地利用动态变化是森林资源合理管理的一个重要问题。本研究的目的是基于卫星影像,模拟2069年FCAS土地覆盖和土地利用的演变趋势。从地球探测器-美国地质勘探局档案中获得的2009年、2014年和2019年的陆地卫星图像被使用。使用的方法是历时映射和基于情景的空间预测。利用QGIS遥感2.18.2下的MOLUSCE模块,模拟FCAS土地覆盖和土地利用的未来演变。利用元胞自动机对2069年的土地覆盖和利用进行了模拟。结果表明:2009—2014年和2014—2019年,自然土地覆盖单元减少,人为土地覆盖单元增加;在间隔50年的“无多标准分区(MZM)”情景下,土地覆盖和利用将以作物休耕镶嵌为主(88%)。另一方面,提出了“实施多标准分区”的设想,目的是通过合理和可持续地管理资源,扭转植被类型的退化趋势。
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来源期刊
Geoplanning Journal of Geomatics and Planning
Geoplanning Journal of Geomatics and Planning Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.00
自引率
0.00%
发文量
5
审稿时长
4 weeks
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