Development of Land-Use/Land-Cover Maps Using Landsat-8 and MODIS Data, and Their Integration for Hydro-Ecological Applications
Development of Land-Use/Land-Cover Maps Using Landsat-8 and MODIS Data, and Their Integration for Hydro-Ecological Applications
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DOI：
10.3390/s19224891
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发表时间：
2019-11-01
期刊：
影响因子：
3.9
通讯作者：
Hassan, Quazi K.
中科院分区：
文献类型：
--
作者：
Afrin, Sadia;Gupta, Anil;Hassan, Quazi K.
阿萨巴斯卡河流域在加拿大艾伯塔省的经济和环境中发挥着主导作用。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动态变化需要全面且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。本文研究的目的是使用 Landsat-8 操作陆地成像仪 (OLI) 图像、中分辨率成像光谱仪 (MODIS) 衍生的增强植被指数 (EVI) 图像和其他辅助数据来描绘阿萨巴斯卡河流域 2016 年 LULC 地图。为了实现这一目标，首先，通过对 Landsat-8 OLI 的 24 个场景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，采用由 Terra MODIS 生成的 250 米 16 天合成的生长季节 30 张 EVI 图像来增强植被类别。第三，在分类后改进过程中使用了多个地理空间辅助数据集，以生成研究区域的最终 2016 年 LULC 地图，显示 14 个 LULC 类别。第四，进行了精度评估，以确保生成的最终 LULC 类的可靠性。结果表明，针叶林（47.30%）、落叶林（16.76%）、混交林（6.65%）、农业（6.37%）、水体（6.10%）和已开发土地（3.78%）是流域的主要土地利用和覆盖情况类型，总体准确度和科恩卡帕值分别为74.95%和68.34%。第五，为了支持跨学科科学家的数据需求，使用阿尔伯塔省合并湿地清查 2017 年数据将数据融合到 LULC 地图中。结果生成了两张适用于水文生态应用的有用地图。这些地图描绘了两个特定类别，包括不同类型的烧毁（约 6%）和湿地（约 30%）类别。事实上，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方面的重要决策支持工具。
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.