Floods are an intense and frequent disaster happening in numerous portions of the world. Flood is a excess of water that submerges surroundings that is normally dry. It is the sever problem in Ganga Sub Basin - Ghaghra Confluence to Gomti Confluence of Uttar Pradesh. Near real time mapping of inundated areas is very important for figuring out the flood extent, deployment of emergency reaction teams, and evaluation of damages and casualties. In this thesis work, a real time flood mapping and monitoring online WEB based application using Sentinel-1 time-series data has been developed on Google Earth Engine (GEE) platform. The SAR Data has Capability to see through the cloud and during the flood the major problem with optical data is, it can not see through the cloud. In this thesis work the SAR data has been used to identify the inundated pixels before and during flood to identify the extent and calamities due to flood. Flood is a hazardous natural phenomenon which severely affect lives, goods and services. Monitoring of flood affected area becomes compulsory for emergency responses but due to damage of network and risk for lives in going such areas it becomes a very typical task. Google Earth Engine (GEE) is an open-source cloud based online platform which reduces this problem. In this thesis work the GEE platform has been used for Near-Real time flood mapping in the study area. The GEE based app “FLOOD MONITORING SYSTEM: GANGA SUB BASIN – GHAGHRA CONFLUENCE TO GOMTI CONFLUENCE” has been developed for Near-Real time flood Mapping.
| Published in | American Journal of Remote Sensing (Volume 9, Issue 2) |
| DOI | 10.11648/j.ajrs.20210902.11 |
| Page(s) | 65-71 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Flood, Google Earth Engine, SAR Image, Disaster
| [1] | AINSWORTH, T. L., KELLY, J., & LEE, J.-S., 2008: Polarimetric Analysis of dual polarimetric SAR Imagery. – IGARSS 2008. |
| [2] | BAMLER, R., & SCHÄTTLER, B., 1993: SAR data acquisition and image formation. – SCHREIER, G. (ED.): SAR geocoding: Data and Systems. Wichmann-Verlag, Karlsruhe. |
| [3] | Baronti, S., Del, F. F., Ferrazzoli, P., Paloscia, S., Pampaloni, P., & Schiavon, G. (1995). SAR polarimetric features of agricultural areas.. International Journal of Remote Sensing, 2639-2656. |
| [4] | Baronti, S., Frate, F. D., Ferrazzoli, P., & Paloscia, S. (1993, April). Interpretation of polarimetric MAC-91 data over Montespertoli agricultural area. In: Proceedings of the Twenty-Fifth International Symposium on Remote Sensing and Global environmental change: tools for sustainable development. Graz, Austria: Ann Arbor: Environmental Research Institute of Michigan. |
| [5] | Brisco, B., & Brown, R. (1998). Agricultural applications with radar. In F. M. Henderson, & A. J. Lewis, Principles and application of imaging radar (3 edition) (pp. 381-406). New York: J. Wiley. |
| [6] | Brown, R., Manore, M., & Poirier, S. (1992). Correlations between X-, C- and L-band imagery within an agricultural environment.. International Journal of Remote Sensing, 1645-1661. |
| [7] | CCRS (2007b) Tutorial: Radar and Stereoscopy. Canada Centre for Remote Sensing- Natural Resources Canada. |
| [8] | CWC (1950–1985 & 1986–1999). Flood Newsletters. Flood Forecasting Directorate, Central Water Commission (CWC), New Delhi. |
| [9] | Dhar, O. N. & Nandargi Shobha (1998). Floods in Indian rivers and their meteorological aspects. In V. S. Kale (ed.) Memoir No. 41 of the Geological Society of India on Flood Studies in India, Bangalore, 1−25. |
| [10] | Dhar, O. N. & Narayan, J. (1966). A study of rain spell associated with the unprecedented floods in the Kosi river. Ind. J. Meteorol. Geophys., special volume, April issue, India Met. Dept. publ., 37−42. |
| [11] | Dhar, O. N., Soman, M. K. & Mulye, S. S. (1982). Distribution of rainfall in the Himalayan and sub-Himalayan regions during ‘Breaks’ in monsoon. In Proc. International Symposium on Hydrological Aspects of Mountainous Watersheds, School of Hydrology, University of Roorkee, Roorkee, Uttar Pradesh, India. vol. 1, 22−26. |
| [12] | Guo, H. D., & Li, X. W. (2011). Technical characteristics and potential application of the new generation SAR for Earth observation.. Chinese Science Bulletin, 56. |
| [13] | HENDERSON, F. M. & LEWIS, A. J. (Eds.) (1998) Principles and Applications of Imaging Radar, New York, John Wiler & Sons, Inc. |
| [14] | Hoekman, D., Sanden, J. v., & Vissers, M. (1992). MAESTRO-1 Flevoland/Speulderbos: analysis results of multiband polarimetric SAR data of forests and agricultural crops.. In: Proceedings of MAESTRO-1/AGRISCATT: radar techniques for forestry and agricultural applications; final workshop, (pp. 53-58). Noordwijk, The Netherlands. |
| [15] | Lewis, A., Henderson, F., & Holcomb, D. (1998). Radar fundamentals: The Geoscience Perspective. In F. Henderson, & A. Lewis, Principles and applications of imaging radar. (pp. 131-176). New York: Wiley, Manual of remote sensing: 3rd edition. |
| [16] | LOPES, A., TOUZI, R. & NEZRY, E. (1990) Adaptive speckle filters and scene heterogeneity. IEEE Trans. Geosci. Remote Sensing, 28, 992-1000. |
| [17] | Rao, K. L. (1975) India’s Water Wealth. Orient Longman Ltd., New Delhi, 255pp. |
| [18] | Ulaby, F. T., Dubois, P. C., & Zyl, J. V. (1996). Radar mapping of surface soil moisture. Journal of Hydrology, 57-84. |
| [19] | Weimann, A. (1997). Determination of soil moisture using active microwave sensors. Cologne. |
| [20] | Pragati Singh, Ashutosh Singh, Rajesh Kumar Upadhyay. A Web Based Google Earth Engine Approach for Irrigation Scheduling in Uttar Pradesh India Using Crop Water Stress Index. American Journal of Remote Sensing. Vol. 9, No. 1, 2021, pp. 42-46. doi: 10.11648/j.ajrs.20210901.15. |
| [21] | D. Amitrano, G. Di Martino, A. Iodice, D. Riccio and G. Ruello, "Unsupervised Rapid Flood Mapping Using Sentinel-1 GRD SAR Images," in IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 6, pp. 3290-3299, June 2018, doi: 10.1109/TGRS.2018.2797536. |
| [22] | Uddin K, Matin MA, Meyer FJ. Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh. Remote Sensing. 2019; 11 (13): 1581. https://doi.org/10.3390/rs11131581. |
APA Style
Gayatri Prasad Dwivedi, Pragati Singh, Ashutosh Singh, Rajesh Kumar Upadhyay. (2021). Google Earth Engine Based Approach for Assessment and Management of Flood in Ganga Sub Basin – Ghaghra Confluence to Gomti Confluence. American Journal of Remote Sensing, 9(2), 65-71. https://doi.org/10.11648/j.ajrs.20210902.11
ACS Style
Gayatri Prasad Dwivedi; Pragati Singh; Ashutosh Singh; Rajesh Kumar Upadhyay. Google Earth Engine Based Approach for Assessment and Management of Flood in Ganga Sub Basin – Ghaghra Confluence to Gomti Confluence. Am. J. Remote Sens. 2021, 9(2), 65-71. doi: 10.11648/j.ajrs.20210902.11
AMA Style
Gayatri Prasad Dwivedi, Pragati Singh, Ashutosh Singh, Rajesh Kumar Upadhyay. Google Earth Engine Based Approach for Assessment and Management of Flood in Ganga Sub Basin – Ghaghra Confluence to Gomti Confluence. Am J Remote Sens. 2021;9(2):65-71. doi: 10.11648/j.ajrs.20210902.11
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ajrs.20210902.11,
author = {Gayatri Prasad Dwivedi and Pragati Singh and Ashutosh Singh and Rajesh Kumar Upadhyay},
title = {Google Earth Engine Based Approach for Assessment and Management of Flood in Ganga Sub Basin – Ghaghra Confluence to Gomti Confluence},
journal = {American Journal of Remote Sensing},
volume = {9},
number = {2},
pages = {65-71},
doi = {10.11648/j.ajrs.20210902.11},
url = {https://doi.org/10.11648/j.ajrs.20210902.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20210902.11},
abstract = {Floods are an intense and frequent disaster happening in numerous portions of the world. Flood is a excess of water that submerges surroundings that is normally dry. It is the sever problem in Ganga Sub Basin - Ghaghra Confluence to Gomti Confluence of Uttar Pradesh. Near real time mapping of inundated areas is very important for figuring out the flood extent, deployment of emergency reaction teams, and evaluation of damages and casualties. In this thesis work, a real time flood mapping and monitoring online WEB based application using Sentinel-1 time-series data has been developed on Google Earth Engine (GEE) platform. The SAR Data has Capability to see through the cloud and during the flood the major problem with optical data is, it can not see through the cloud. In this thesis work the SAR data has been used to identify the inundated pixels before and during flood to identify the extent and calamities due to flood. Flood is a hazardous natural phenomenon which severely affect lives, goods and services. Monitoring of flood affected area becomes compulsory for emergency responses but due to damage of network and risk for lives in going such areas it becomes a very typical task. Google Earth Engine (GEE) is an open-source cloud based online platform which reduces this problem. In this thesis work the GEE platform has been used for Near-Real time flood mapping in the study area. The GEE based app “FLOOD MONITORING SYSTEM: GANGA SUB BASIN – GHAGHRA CONFLUENCE TO GOMTI CONFLUENCE” has been developed for Near-Real time flood Mapping.},
year = {2021}
}
TY - JOUR T1 - Google Earth Engine Based Approach for Assessment and Management of Flood in Ganga Sub Basin – Ghaghra Confluence to Gomti Confluence AU - Gayatri Prasad Dwivedi AU - Pragati Singh AU - Ashutosh Singh AU - Rajesh Kumar Upadhyay Y1 - 2021/08/05 PY - 2021 N1 - https://doi.org/10.11648/j.ajrs.20210902.11 DO - 10.11648/j.ajrs.20210902.11 T2 - American Journal of Remote Sensing JF - American Journal of Remote Sensing JO - American Journal of Remote Sensing SP - 65 EP - 71 PB - Science Publishing Group SN - 2328-580X UR - https://doi.org/10.11648/j.ajrs.20210902.11 AB - Floods are an intense and frequent disaster happening in numerous portions of the world. Flood is a excess of water that submerges surroundings that is normally dry. It is the sever problem in Ganga Sub Basin - Ghaghra Confluence to Gomti Confluence of Uttar Pradesh. Near real time mapping of inundated areas is very important for figuring out the flood extent, deployment of emergency reaction teams, and evaluation of damages and casualties. In this thesis work, a real time flood mapping and monitoring online WEB based application using Sentinel-1 time-series data has been developed on Google Earth Engine (GEE) platform. The SAR Data has Capability to see through the cloud and during the flood the major problem with optical data is, it can not see through the cloud. In this thesis work the SAR data has been used to identify the inundated pixels before and during flood to identify the extent and calamities due to flood. Flood is a hazardous natural phenomenon which severely affect lives, goods and services. Monitoring of flood affected area becomes compulsory for emergency responses but due to damage of network and risk for lives in going such areas it becomes a very typical task. Google Earth Engine (GEE) is an open-source cloud based online platform which reduces this problem. In this thesis work the GEE platform has been used for Near-Real time flood mapping in the study area. The GEE based app “FLOOD MONITORING SYSTEM: GANGA SUB BASIN – GHAGHRA CONFLUENCE TO GOMTI CONFLUENCE” has been developed for Near-Real time flood Mapping. VL - 9 IS - 2 ER -
Email: