Skip to main content

Advertisement

Log in

Monitoring of Brahmaputra Flood Using Passive Microwave Remote Sensing in Morigaon District of Assam, India

  • Research Article
  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

Brahmaputra is the largest river in India, and it flows through the state of Assam over a length of 916 km. The river causes flood in many places in the valley along its length during monsoon season. Among many flood prone areas in Assam, the district of Morigaon is one of the frequently flood affected districts in the state, where flood is primarily caused by the overflow of river water in the Brahmaputra. Monitoring of these flooding events using conventional optical remote sensing methods is often not feasible due to cloud cover over these regions, throughout the entire monsoon season. Hence, passive microwave remote sensing is used in the present work for monitoring the changes in the expanse of river water over the Brahmaputra near Morigaon district. As discussed in the paper, polarization index (PI) derived from passive microwave brightness temperature in X-band acts as an indicative parameter for monitoring the river water expanse and flooding in the region. A threshold value of the average PI measured over an optimum number of pixels bordering the river can indicate flood occurrences accurately and hence can be used to monitor flood in the region as explained in the paper.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

(Sources: www.mapsofindia.com and google maps)

Fig. 2

(Source: https://bhuvan-app1.nrsc.gov.in/bhuvandisaster/)

Fig. 3

(Map source: https://bhuvan-app1.nrsc.gov.in)

Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Bindlish, R., Crow, W. T., & Jackson, T. J. (2009). Role of passive microwave remote sensing in improving flood forecasts. IEEE Geoscience and Remote Sensing Letters, 6(1), 112–116.

    Article  Google Scholar 

  • Crow, W. T., Bindlish, R., & Jackson, T. J. (2005). The added value of spaceborne passive microwave soil moisture retrievals for forecasting rainfall–runoff partitioning. Geophysical Research Letters, 32(18), 1–5.

    Article  Google Scholar 

  • De Groeve, T. (2010). Flood monitoring and mapping using passive microwave remote sensing in Namibia. Geomatics, Natural Hazards and Risk, 1(1), 19–35.

    Article  Google Scholar 

  • De Groeve, T., & Riva, P. (2009). Global real-time detection of major floods using passive microwave remote sensing. In Proceedings of the 33rd international symposium on remote sensing of environment, Stresa, Italy.

  • Du, Y., Ulaby, F. T., & Dobson, M. C. (2000). Sensitivity to soil moisture by active and passive microwave sensors. IEEE Transactions on Geoscience and Remote Sensing, 38(1), 105–114.

    Article  Google Scholar 

  • Ellingson, S. W., & Johnson, J. T. (2006). A polarimetric survey of radio-frequency interference in C- and X-bands in the continental United States using WindSat radiometry. IEEE Transactions on Geoscience and Remote Sensing, 44(3), 540–548.

    Article  Google Scholar 

  • Engman, E. T., & Chauhan, N. (1995). Status of microwave soil moisture measurements with remote sensing. Remote Sensing of Environment, 51(1), 189–198.

    Article  Google Scholar 

  • Entekhabi, D., et al. (2010). The soil moisture active passive (SMAP) mission. Proceedings of the IEEE, 98(5), 704–716.

    Article  Google Scholar 

  • http://www.nrcan.gc.ca/node/9371.

  • http://www.india-wris.nrsc.gov.in/wrpinfo/index.php?title=Brahmaputra.

  • http://www.mapsofindia.com/my-india/government/why-india-cant-afford-to-ignore-assam-flood-situation.

  • http://morigaon.nic.in/district_profile/location_area.html.

  • https://www.thethirdpole.net/2013/07/15/brahmaputra-tributaries-flood-india-bangladesh/.

  • Jackson, T. J. (1993). III. Measuring surface soil moisture using passive microwave remote sensing. Hydrological Processes, 7(2), 139–152.

    Article  Google Scholar 

  • Jackson, T. J., & Le Vine, D. E. (1996). Mapping surface soil moisture using an aircraft-based passive microwave instrument: Algorithm and example. Journal of Hydrology, 184(1–2), 85–99.

    Article  Google Scholar 

  • Jackson, T. J., & Schmugge, T. J. (1989). Passive microwave remote sensing system for soil moisture: Some supporting research. IEEE Transactions on Geoscience and Remote Sensing, 27(2), 225–235.

    Article  Google Scholar 

  • Jackson, T. J., et al. (1995). Large area mapping of soil moisture using the ESTAR passive microwave radiometer in Washita’92. Remote Sensing of Environment, 54(1), 27–37.

    Article  Google Scholar 

  • Jackson, T. J., et al. (1999). Soil moisture mapping at regional scales using microwave radiometry: The Southern Great Plains Hydrology Experiment. IEEE Transactions on Geoscience and Remote Sensing, 37(5), 2136–2151.

    Article  Google Scholar 

  • Jin, Y. Q. (1999). A flooding index and its regional threshold value for monitoring floods in China from SSM/I data. International Journal of Remote Sensing, 20(5), 1025–1030.

    Article  Google Scholar 

  • Kerr, Y. H., et al. (2001). Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission. IEEE Transactions on Geoscience and Remote Sensing, 39(8), 1729–1735.

    Article  Google Scholar 

  • Lacava, T., et al. (2005). Improving soil wetness variations monitoring from passive microwave satellite data: The case of April 2000 Hungary flood. Remote Sensing of Environment, 96(2), 135–148.

    Article  Google Scholar 

  • Mizuochi, H., et al. (2018). Monitoring of an Indonesian tropical wetland by machine learning-based data fusion of passive and active microwave sensors. Remote Sensing, 10(8), 1235.

    Article  Google Scholar 

  • Njoku, E. G., & Entekhabi, D. (1996). Passive microwave remote sensing of soil moisture. Journal of Hydrology, 184(1-2), 101–129.

    Article  Google Scholar 

  • Njoku, E. G., & Li, L. (1999). Retrieval of land surface parameters using passive microwave measurements at 6–18 GHz. IEEE Transactions on Geoscience and Remote Sensing, 37(1), 79–93.

    Article  Google Scholar 

  • Owe, M., de Jeu, R., & Walker, J. (2001). A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE Transactions on Geoscience and Remote Sensing, 39(8), 1643–1654.

    Article  Google Scholar 

  • Paloscia, S., et al. (2001). A multifrequency algorithm for the retrieval of soil moisture on a large scale using microwave data from SMMR and SSM/I satellites. IEEE Transactions on Geoscience and Remote Sensing, 39(8), 1655–1661.

    Article  Google Scholar 

  • Parinussa, R. M., et al. (2016). A new framework for monitoring flood inundation using readily available satellite data. Geophysical Research Letters, 43(6), 2599–2605.

    Article  Google Scholar 

  • Rahman, M., et al. (2019). Rapid flood progress monitoring in cropland with NASA SMAP. Remote Sensing, 11(2), 191.

    Article  Google Scholar 

  • Temimi, M., et al. (2005). Flood monitoring over the Mackenzie River Basin using passive microwave data. Remote Sensing of Environment, 98(2), 344–355.

    Article  Google Scholar 

  • Temimi, M., et al. (2007). Flood and soil wetness monitoring over the Mackenzie River Basin using AMSR-E 37 GHz brightness temperature. Journal of Hydrology, 333(2), 317–328.

    Article  Google Scholar 

  • Wang, J. R., & Choudhury, B. J. (1981). Remote sensing of soil moisture content, over bare field at 1.4 GHz frequency. Journal of Geophysical Research: Oceans, 86(C6), 5277–5282.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bikramjit Goswami.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Goswami, B., Kalita, M. Monitoring of Brahmaputra Flood Using Passive Microwave Remote Sensing in Morigaon District of Assam, India. J Indian Soc Remote Sens 47, 1633–1641 (2019). https://doi.org/10.1007/s12524-019-01010-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12524-019-01010-9

Keywords

Navigation