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Land Cover Change Monitoring Using Landsat MSS/TM Satellite Image Data over West Africa between 1975 and 1990

机译：1975年至1990年期间使用Landsat MSS / TM卫星图像数据对西非的土地覆盖变化进行监测

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Monitoring land cover changes from the 1970s in West Africa is important for assessing the dynamics between land cover types and understanding the anthropogenic impact during this period. Given the lack of historical land cover maps over such a large area, Landsat data is a reliable and consistent source of information on land cover dynamics from the 1970s. This study examines land cover changes occurring between 1975 and 1990 in West Africa using a systematic sample of satellite imagery. The primary data sources for the land cover classification were Landsat Multispectral Scanner (MSS) for 1975 and Landsat Thematic Mapper (TM) for the 1990 period. Dedicated selection of the appropriate image data for land cover change monitoring was performed for the year 1975. Based on this selected dataset, the land cover analysis is based on a systematic sample of 220 suitable Landsat image extracts (out of 246) of 20 km × 20 km at each one degree latitude/longitude intersection. Object-based classification, originally dedicated for Landsat TM land cover change monitoring and adapted for MSS, was used to produce land cover change information for four different land cover classes: dense tree cover, tree cover mosaic, other wooded land and other vegetation cover. Our results reveal that in 1975 about 6% of West Africa was covered by dense tree cover complemented with 12% of tree cover mosaic. Almost half of the area was covered by other wooded land and the remaining 32% was represented by other vegetation cover. Over the 1975–1990 period, the net annual change rate of dense tree cover was estimated at −0.95%, at −0.37% for the other wooded land and very low for tree cover mosaic (−0.05%). On the other side, other vegetation cover increased annually by 0.70%, most probably due to the expansion of agricultural areas. This study demonstrates the potential of Landsat MSS and TM data for large scale land cover change assessment in West Africa and highlights the importance of consistent and systematic data processing methods with targeted image acquisition procedures for long-term monitoring.
机译：监测1970年代西非的土地覆被变化对于评估土地覆被类型之间的动态关系以及了解这一时期的人为影响非常重要。由于缺乏如此大面积的历史土地覆盖图，Landsat数据是1970年代以来有关土地覆盖动态的可靠且一致的信息来源。这项研究使用系统的卫星图像样本研究了1975年至1990年在西非发生的土地覆盖变化。土地覆盖分类的主要数据来源是1975年的Landsat多光谱扫描仪（MSS）和1990年的Landsat专题测绘仪（TM）。专门选择了1975年的图像数据进行土地覆盖变化监测。基于此选定的数据集，土地覆盖分析基于20公里的220个合适的Landsat图像提取物（共246个）的系统样本×每个纬度/经度交点处20公里。基于对象的分类最初用于Landsat TM土地覆被变化监测，并适用于MSS，用于为四种不同的土地覆被类别生成土地覆被变化信息：茂密的树木覆盖物，树木覆盖物镶嵌物，其他林地和其他植被覆盖物。我们的结果表明，在1975年，西非约6％的土地被茂密的树木覆盖，并辅以12％的植被覆盖。该地区几乎一半的面积被其他林地覆盖，其余的32％由其他植被覆盖。在1975-1990年期间，茂密的树木覆盖物的净年变化率估计为-0.95％，其他林地为-0.37％，而树木覆盖物马赛克的年变化率非常低（-0.05％）。另一方面，其他植被覆盖率每年增加0.70％，这很可能是由于农业面积的扩大。这项研究证明了Landsat MSS和TM数据在西非大规模土地覆被变化评估中的潜力，并强调了一致和系统的数据处理方法以及针对性的图像采集程序进行长期监测的重要性。

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