you could also try to use a hydraulic model to simulate impacts if climate change on different flood return periods. the landsurface inputs into the hydraulic model (e.g vegetation, topography) can be obtained through remote sensing

You may select a topic on extreme events of precipitation (rainfall) leading to occurrence of floods. You may use remote sensing to retrieve rainfall data in a river basin from the past and using one of number of methods like ANN for one may do rainfall-runoff modelling.

Thanks alot for your kind reply sir, may i know what u mean by "retrieve rainfall events in a river basin using remote sensing"?? Do u mean to say that i have to gather flooded regions images, or what? Any by "modelling" you mean monitoring of flooded regions?

And*

Dear Jennifer,

You already know what I mean by retrieving rainfall data using remote sensing as you have liked my response to Shimelis Berhanu in this forum on Gsmap data. Still you need some references, I will be happy to list them.

Flooding leaves behind a vegetation boom which can be derived as vegetation indices from Landsat and other. Then you can associate the scene date with temperatures and precipitations from other official data.

You may try flood simulation in different topographic condition especially under urban environment

you could also try to use a hydraulic model to simulate impacts if climate change on different flood return periods. the landsurface inputs into the hydraulic model (e.g vegetation, topography) can be obtained through remote sensing

My Dear Jennifer

It is true that flood, as very rightly pointed out by Dan Stoica, is followed vegetation boom. If you take this as an indicator, you have to use another method to account for time lag between flood event and vegetation boom. However, remote sensing may with certain other methods can be successfully used to work out a rainfall-runoff model as demonstrated by:

1. Takahiro Sayama, Go Ozawa, Takahiro Kawakami, Seishi Nabesaka & Kazuhiko Fukami (2012): Rainfall–runoff–inundation analysis of the 2010 Pakistan flood in the Kabul River basin, Hydrological Sciences Journal, 57: 298-312; and

2. Muhammad Jehanzeb Masud Cheema and Wim G. M. Bastiaanssen (2012): Local calibration of remotely sensed rainfall from the TRMM satellite for different periods and spatial scales in the Indus Basin, International Journal of Remote Sensing, 33: 2603–2627

I have gone through both of the papers and recommend you to contact Dr. Cheema of International Water Management Institute, 12 km Multan Road, Lahore, Pakistan, and Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan. As he belongs to the country of your University, he will be easily accessible to you and be able to give you an expert advice on this matter.

His email address given in the journal is:

[email protected]

Further you can download remote sensing products for rainfall from following websites:

• www1.ncdc.noaa.gov/pub/data/gpcp/1dd/data

• hydis8.eng.uci.edu/persiann

How to use these you may go through from the following papers:

Grimes, D.I.F., Pardo-Igu´zquiza, E., Bonifacio, R., (1999): Optimal areal rainfall estimation using raingauges and satellite data. Journal of Hydrology, 222: 93–108.

Grimes, D.I.F., Diop, M., (2003): Satellite-based rainfall estimation for river flow forecasting in Africa. Part 1: Rainfall estimates and hydrological forecasts, Hydrological Sciences Journal, 48: 567–584.

Huffman, G.J., Adler, R.F., Arkin, P.A., Chang, A., Ferraro, R., Gruber, A., Janowiak, J.J., Joyce, R.J., McNab, A., Rudolf, B., Schneider, U., and Xie, P., (1997): The Global Precipitation Climatology Project (GPCP) combined precipitation data set, Bulletin of American Meteorological Society, 78: 5–20.

Huffman, G.J., Adler, R.F., Morrissey, M.M., Curtis, S., Joyce, R.J., McGavock, B., Susskind, J., (2001): Global precipitation at one degree daily resolution from multi-satellite observations, Journal of Hydrometeorology, 2: 36–50.

Hsu, K., Gupta, H.V., Gao, X., Sorooshian, S., (1999): Estimation of physical variables from multi-channel remotely sensed imagery using a neural network: application to rainfall estimation. Water Resources Research 35: 1605–1618.

Sorooshian, S., Hsu, K., Gao, X., Gupta, H.V., Imam, B., Braithwaite, D., (2000): Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bulletin of American Meteorological Society, 81: 2035–2046.

Thorne, V., Coakley, P., Grimes, D., Dugdale, G., (2001): Comparison of TAMSAT and CPC rainfall estimates with rainfall, for southern Africa, International Journal of Remote Sensing, 22: 1951–1974.

I would suggest you the following paper for the analysis of the effects of climate change on flood frequency: https://www.researchgate.net/publication/226461130_Analysis_of_Climate_Change_Effects_on_Floods_Frequency_Through_a_Continuous_Hydrological_Modelling

Moreover, besides rainfall, also soil moisture data from remote sensing can be very useful to study flooding phenomenon (see the topic --> https://www.researchgate.net/topic/Remote_Sensing/post/How_can_I_get_the_soil_moisture_products_freely_online ).

Chapter Analysis of Climate Change Effects on Floods Frequency Throu...

I agree with Dr. Webster and Feroze Khan. I think prediction modeling is a better topic for research because findings may be applied in any situation by changing the independent variables, In this way your investigation may be beneficial under all circumstances across the oceans. While such modeling suggestions from Ms Luca Brocca will surely help you to consolidate your findings.

Thanks Dr. Feroz Khan

There are 3 dimensions to your study (i) The climate (temperature, precipitation) (ii) Water discharge (iii) Vegetation recovery and destruction. If you want to relate all of them together it would be a rather challenging job especially in tropical countries like Brazil. Most of these regions are having lack of adequate data. I would rather suggest you to take up studies where climate, precipitation, seasonal stream discharge rates and vegetation cover and recovery stats are available. This would help you to prepare a better simulated model which could be generalized by GIS and Ecological Niche Modelling.

You can also map the extent of the flooding plain in regard to extreme discharges and temperatures

Der friend

I am also looking for a good topic to work with.

but till now could not came across a specific topic.

i am also looking for a good, accurate and user friendly model for flood simulation. the model should also need as few as inputs, becoz here thedata are not ease to access at all

i appreciate any help

Read this article

Klemas, V. (2014). Remote sensing of floods and flood-prone areas: an overview. Journal of Coastal Research, 31(4), 1005-1013.