North Eastern Space Applications Centre (NESAC), Department of Space, Govt. of India, Shillong, Meghalaya, India.
V.R. Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India.
Environ Monit Assess. 2018 Aug 15;190(9):520. doi: 10.1007/s10661-018-6893-y.
Satellite-based flood assessment for extent and severity is very crucial input before, during, and after a flood event has occurred. Though optical remote sensing data has been widely used for flood hazard mapping, Synthetic Aperture Radar (SAR) data is preferred for detecting inundated areas and providing reliable information during a flood event due to its capability to operate in all weather and day/night time. Availability of cloud-free optical images during monsoon over north eastern India is a rarity. SAR data also has the advantage of detecting inundation under vegetated areas due to its penetration capabilities and sensitivity to soil moisture. The present study is an attempt to use SAR data for flood monitoring of the Kaziranga National Park (KNP) during monsoon, 2017. Every year, animals are washed away by floods and most of them migrate to higher grounds in order to escape from the rising water levels. Flooding events are common in the study area during the monsoon season due to high rainfall and its close proximity to the Brahmaputra River. Dual polarized (VV and VH) Sentinel-1 SAR images obtained for the entire monsoon period in 2017 were used to create inundation maps of the KNP. Two flood waves were observed in July and August, the second of which is considered to be one of the worst flooding events inundating most areas of the park. The use of SAR data for monitoring of flood events can be very crucial for identifying locations for building animal shelters and finding routes for rescue and relief operations during the disaster.
基于卫星的洪水范围和严重程度评估在洪水事件发生之前、期间和之后都是非常关键的输入。虽然光学遥感数据已被广泛用于洪水灾害制图,但合成孔径雷达 (SAR) 数据由于能够在所有天气条件下昼夜工作,因此在洪水事件中更适合用于检测淹没区域并提供可靠信息。在印度东北部季风期间,可用的无云光学图像非常罕见。SAR 数据还具有检测植被覆盖地区淹没的优势,因为它具有穿透能力和对土壤湿度的敏感性。本研究试图在 2017 年季风期间使用 SAR 数据监测卡齐兰加国家公园 (KNP) 的洪水情况。每年,动物都会被洪水冲走,其中大多数会迁移到更高的地方,以躲避水位上升。由于降雨量高且靠近布拉马普特拉河,研究区域在季风季节经常发生洪水事件。2017 年整个季风期间获取的双极化 (VV 和 VH) Sentinel-1 SAR 图像用于创建 KNP 的淹没图。7 月和 8 月观察到两次洪水波,第二次被认为是最严重的洪水事件之一,淹没了公园的大部分地区。使用 SAR 数据监测洪水事件对于确定建造动物避难所的位置以及在灾难期间寻找救援和救济行动的路线非常重要。