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Assessing land cover change in Kenya's Mau Forest region using remotely sensed data

机译:利用遥感数据评估肯尼亚毛森林地区的土地覆盖变化

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Kenya's Rift Valley has been undergoing rapid land cover change for the past two decades, which has resulted in ecological and hydrological changes. An effort is under way to quantify the timing and rate of these changes in and around the River Njoro watershed located near the towns of Njoro and Nakuru using remote sensing and geographic information system (GIS) methods. Three Landsat TM images, representing a 17-year period from 1986 to 2003 in which the area underwent a significant land cover transition, were classified and compared with one another. Vegetation diversity and temporal variability, common to tropical and sub-tropical areas, posed several challenges in disaggregating classified data into sub-classes. An iterative approach for the resolving challenges is presented that incorporates unsupervised and supervised classification routines in coordination with knowledge-based spatial analyses. Changes are analysed at three spatial scales ranging from the highly impacted and deforested uplands to the watershed and landscape scales. Land cover transitions primarily occurred after 1995, and included large forest losses coupled with increases in mixed small-scale agriculture and managed pastures and degraded areas. These changes in cover type are highly spatially variable and are theorized to have significant impacts on ecological and hydrologic systems with implications for environmental sustainability.
机译:在过去的二十年中,肯尼亚的裂谷一直在快速改变土地覆盖率,这导致了生态和水文变化。正在努力使用遥感和地理信息系统(GIS)方法量化位于Njoro和Nakuru城镇附近的Njoro河流域及其周围地区的变化的时间和速率。对三幅Landsat TM图像进行了分类,并将它们进行了比较,它们代表了1986年至2003年的17年,该区域经历了重要的土地覆被过渡。热带和亚热带地区常见的植被多样性和时间变异性在将分类数据分解为子类时提出了一些挑战。提出了一种解决挑战的迭代方法,该方法将无监督和有监督的分类程序与基于知识的空间分析相结合。在三个空间尺度上分析了变化,从受到严重影响和森林砍伐的高地到分水岭和景观尺度。土地覆盖的过渡主要发生在1995年之后,包括大量的森林损失,以及混合的小型农业,管理的牧场和退化地区的增加。覆盖类型的这些变化在空间上是高度可变的,并且从理论上讲会对生态和水文系统产生重大影响,对环境可持续性具有影响。

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