Earth, Atmosphere & Environment Sciences
Title : | Assimilation of SAR based inputs for optimizing hydraulic simulation of floods with special emphasis on vegetated and urban setups |
Area of research : | Earth, Atmosphere & Environment Sciences |
Principal Investigator : | Dr. Haris Hasan Khan, Aligarh Muslim University, Uttar Pradesh |
Timeline Start Year : | 2023 |
Timeline End Year : | 2026 |
Contact info : | hhkhan2005@gmail.com |
Equipments : | Workstation |
Details
Executive Summary : | Floods are highly variable phenomena that occur quickly and quick disaster response requires high temporal resolution data with the availability on cloudy days and nights times. Therefore, the application of SAR data in flood mapping is nowadays common practice to find out the potential zones for flooding and to provide high resolution near real-time information to mitigate it. Nevertheless, SAR backscatter for water is discernible with other objects but in the real world mixed Land Use Land Cover is a challenge to correctly mapping the water occupied areas. In this regard, hydrodynamic models are indispensable to overcome the uncertainties in flood mapping and flood forecasting. The distributed hydrological modeling approach is proposed in the study for fast and efficient simulation. The fact that assimilation of SAR probabilistic flood maps significantly improves the streamflow and water elevation consistently increases the application of SAR datasets in hydrodynamic modeling. These SAR flood maps especially for urban and vegetated setups will be prepared by exploring the advanced SAR polarimetric and interferometric techniques. Hence, the high-resolution SAR data-based flood mapping coupled with hydrodynamic models and data assimilation enables us to make real flood forecasting by eliminating the ambiguities obtained in vegetated and urban flooding. In SAR systems, the amount of reflected microwave energy primarily depends upon the surface roughness followed by morphology and dielectric properties of the surface. In urban setup, they cause a major threat to infrastructure collapse, life, and property losses and put in danger the entire socio-economic setup of the region. The polarimetric SAR and Interferometric techniques like coherence are consistently being explored as far as urban flooding is considered. The proposed study will address these critical issues related to the flooding phenomenon using different SAR techniques and their assimilation into the hydrodynamic simulation. Nevertheless, there is a large scope to explore the existing techniques and methodologies for improved flood management and hence mitigate the risk to life. Although, accuracy has played a vital role in the quantitative estimation of floods in an analysis of the Spatio-temporal characteristics of a river for improved flood management. The availability of high-resolution remote sensing datasets and microwave datasets coupled with data assimilation techniques (which can operate in cloudy times) have improved the accuracy of flood mapping, potential risk estimation, and forecasting, manifolds. Hence, the proposed study will be a paradigm in SAR-assisted techniques to address the issue of flooding phenomenon, particularly in urban and vegetated landscapes coupled with hydrodynamic modeling. Additionally, different assimilation methodologies of these SAR-based inputs into hydraulic models to improve flood forecasting accuracy and vulnerability have to be explored. |
Co-PI: | Dr. Praveen Kumar Thakur, Indian Institute Of Remote Sensing, Indian Space Research Organisation (ISRO), Dehradun,Uttarakhand-248001 |
Total Budget (INR): | 30,91,240 |
Organizations involved