SWOT分析
大洪水
代理(统计)
地理
环境科学
遥感
卫星
卫星图像
地图学
气象学
水文学(农业)
水资源管理
地质学
计算机科学
工程类
业务
考古
营销
机器学习
航空航天工程
岩土工程
作者
Girish Patidar,Subhankar Karmakar,J. Indu
标识
DOI:10.1080/10106049.2022.2113446
摘要
The Surface Water and Ocean Topographic (SWOT) mission is aimed to improve flood mapping by providing high-resolution data of water surface elevation, slope and water extent for rivers wider than 100 m and water bodies as small as 62500 m2. Although, SWOT's data latency and huge data size of rawest point cloud data make it impracticable for real or near-real-time flood forecasting but the SWOT data will provide new insight in the first-hand information of flood mapping. In this study, we explore the potential of SWOT mission for flood mapping over India. It is observed that the spatio-temporal resolution of SWOT allows the observation of 0.67%, 15.79%, 29.24%, 45.54%, and 8.06% of Indian districts with one, two, three, four and more than four observations per cycle of SWOT respectively. It is observed that SWOT would have observed 49.6% of flood events at least once if the mission were launched earlier. The SWOT could also observe 30.6% of small flood events with flood duration <4 at least once. Using the information, this study proposes a flood severity map by combining geomorphological and physical flood parameters for a reach of Brahmaputra river. From the map different flood severity zones can be observed.
科研通智能强力驱动
Strongly Powered by AbleSci AI