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Development of Land-Use/Land-Cover Maps Using Landsat-8 and MODIS Data and Their Integration for Hydro-Ecological Applications

机译:利用Landsat-8和MODIS数据开发土地利用/土地覆盖图并将其集成到水生态应用中

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摘要

The Athabasca River watershed plays a dominant role in both the economy and the environment in Alberta, Canada. Natural and anthropogenic factors rapidly changed the landscape of the watershed in recent decades. The dynamic of such changes in the landscape characteristics of the watershed calls for a comprehensive and up-to-date land-use and land-cover (LULC) map, which could serve different user-groups and purposes. The aim of the study herein was to delineate a 2016 LULC map of the Athabasca River watershed using Landsat-8 Operational Land Imager (OLI) images, Moderate Resolution Imaging Spectroradiometer (MODIS)-derived enhanced vegetation index (EVI) images, and other ancillary data. In order to achieve this, firstly, a preliminary LULC map was developed through applying the iterative self-organizing data analysis (ISODATA) clustering technique on 24 scenes of Landsat-8 OLI. Secondly, a Terra MODIS-derived 250-m 16-day composite of 30 EVI images over the growing season was employed to enhance the vegetation classes. Thirdly, several geospatial ancillary datasets were used in the post-classification improvement processes to generate a final 2016 LULC map of the study area, exhibiting 14 LULC classes. Fourthly, an accuracy assessment was carried out to ensure the reliability of the generated final LULC classes. The results, with an overall accuracy and Cohen’s kappa of 74.95% and 68.34%, respectively, showed that coniferous forest (47.30%), deciduous forest (16.76%), mixed forest (6.65%), agriculture (6.37%), water (6.10%), and developed land (3.78%) were the major LULC classes of the watershed. Fifthly, to support the data needs of scientists across various disciplines, data fusion techniques into the LULC map were performed using the Alberta merged wetland inventory 2017 data. The results generated two useful maps applicable for hydro-ecological applications. Such maps depicted two specific categories including different types of burned (approximately 6%) and wetland (approximately 30%) classes. In fact, these maps could serve as important decision support tools for policy-makers and local regulatory authorities in the sustainable management of the Athabasca River watershed.
机译:阿萨巴斯卡河流域在加拿大艾伯塔省的经济和环境中均起着主导作用。近几十年来,自然和人为因素迅速改变了流域的景观。流域景观特征的这种变化的动态要求建立全面而最新的土地利用和土地覆盖(LULC)地图,该地图可以服务于不同的用户群体和目的。本文的研究目的是使用Landsat-8作战陆地成像仪(OLI)图像,中分辨率成像光谱仪(MODIS)衍生的增强植被指数(EVI)图像以及其他辅助图像来描绘阿萨巴斯卡河流域的2016 LULC图数据。为了实现这一目标,首先,通过在Landsat-8 OLI的24个场景上应用迭代自组织数据分析(ISODATA)聚类技术,开发了初步的LULC地图。其次,在整个生长季节中,使用Terra MODIS衍生的250米16天合成图像(包括30个EVI图像)来增强植被等级。第三,在分类后的改进过程中使用了几个地理空间辅助数据集,以生成研究区域的最终2016 LULC地图,展示了14个LULC类。第四,进行准确性评估以确保所生成的最终LULC类的可靠性。结果显示,针叶林(47.30%),落叶林(16.76%),混交林(6.65%),农业(6.37%)和水(总精度)分别为74.95%和68.34%。流域的主要土地利用,土地利用变化类别为6.10%),而发达土地(3.78%)则是该流域的主要分类。第五,为了满足各学科科学家的数据需求,使用阿尔伯塔省合并湿地清单2017年数据将数据融合技术纳入LULC地图。结果生成了两个适用于水生态应用的有用地图。此类地图描绘了两个特定类别,包括不同类型的燃烧(约6%)和湿地(约30%)类别。实际上,这些地图可以作为决策者和地方监管机构在阿萨巴斯卡河流域可持续管理中的重要决策支持工具。

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