ABSTRACT

Spatio-temporal change detection analysis of Jamuna River using low and medium-resolution satellite data between the years of 1972 and 2013 are dynamic to assess river spatio-temporal changes and their impacts on the local settlements over the specific time. This study employs remote sensing and geographic information system (GIS) proficiencies to identify the river bank shifting, erosion, and depositional features along with the population displacement. The satellite image of LANDSAT multispectral (MSS), thematic mapper (TM), and operational land imager (OLI) and thermal infrared sensor (TIRS) were used in this study. Supervised and unsupervised classification techniques have been used to identify land cover types and detect the changes using ArcGIS Pro 2.3.2. Supervised classifications performed well by validating ≥90% overall accuracy. The result shows total erosion was 3356 ha from 1972 to 2013, while the deposition was 5342 ha. Erosion and deposition cause the bank line shifting, river widening, and settlement displacement. Hundreds of displaced people suffered from loss of land, livelihood, increased poverty, food insecurity, lack of sanitation, and drinking water facilities. Thus, this study will be earnest in assisting the environmental management and associated planning including necessary measures.

摘要

利用1972年至2013年间低分辨率和中分辨率卫星数据对贾木纳河进行时空变化检测分析，动态评估河流时空变化及其在特定时间对当地居民点的影响。本研究利用遥感和地理信息系统 (GIS) 能力来识别河岸移动、侵蚀和沉积特征以及人口迁移。本研究使用了 LANDSAT 多光谱 (MSS)、专题制图仪 (TM)、业务陆地成像仪 (OLI) 和热红外传感器 (TIRS) 的卫星图像。监督和非监督分类技术已用于识别土地覆盖类型并使用 ArcGIS Pro 2.3.2 检测变化。通过验证 ≥ 90% 的总体准确度，监督分类表现良好。结果显示，从 1972 年到 2013 年，总侵蚀面积为 3356 公顷，而沉积面积为 5342 公顷。侵蚀和沉积导致岸线移动、河流加宽和沉降位移。数百名流离失所者遭受失去土地、生计、贫困加剧、粮食不安全、缺乏卫生设施和饮用水设施的痛苦。因此，本研究将认真协助环境管理和相关规划，包括必要的措施。