TY -的A2 Srinivasan Kathiravan AU - Aketch, d . n . AU -水户,c . o . AU - Laneve g . PY - 2022 DA - 2022/10/15 TI -监控进化的海岸线在Mto Tamambaδ在肯尼亚北部海岸利用卫星照片SP - 8701988六世- 2022 AB -沿海地区是经济活动的中心在世界上大多数发展中国家因此注定要改变。随着科技的进步,退化监测沿海地区利用遥感(RS)和地理信息系统(GIS)已成为科学研究的一个关键主题。RS是指的过程检测和监测区域的物理特性通过测量其反射和发射辐射距离(通常从卫星或飞机),而GIS是创建一个系统,管理,分析,和所有类型的地图数据。本文报告一个进化肯尼亚海岸线利用RS和GIS在过去的三十年里。文学在时间演化及其影响沿着这海岸线不多,因此设想,这项工作将激起更多的询盘到因素参与肯尼亚海岸景观形成。之前的报告显示,沿着这海岸线是通过实地调查研究工作。我们报告一个推进式海滩Mto Tamamba三角洲所显示的多光谱陆地卫星图像。海洋生态系统,河岸社区和旅游业面临的主要威胁。寻找建立水动力的影响和人类影响这种威胁的主要贡献者。本研究旨在检测海岸线变化使用多光谱从1990年至2021年的陆地卫星图像。 For this purpose, coastlines belonging to these years were drawn numerically with the aid of GIS and RS on ENVI 5.3 software. We utilized maximum likelihood algorithm to categorize the images, and employed a time series methodology on classified endmembers to infer the presence of erosion and accretion. Using the image subset technique, areas prone to erosion and accretion within the coastal datum were identified and cut. The patterns of spatiotemporal trend of these endmembers were effectively employed to corroborate these findings. Change in distribution of endmembers over the 31 years’ period was assessed using thematic change technique; an approach not previously applied in this study area. From the classified Mto Tamamba image, the pixel coverage area for each endmember was extracted. Validation using field campaign data gave an overall accuracy of 84% and kappa coefficient of 0.799. Taking into account that, the traditional methods of monitoring land degradation over a large area are time consuming and expensive; remote sensing data used in this study has offered alternatively cheap, consistent, reliable and retrievable data. SN - 1687-725X UR - https://doi.org/10.1155/2022/8701988 DO - 10.1155/2022/8701988 JF - Journal of Sensors PB - Hindawi KW - ER -