Water Bodies Automatic Classification

The aim of this project is to provide a tool for flood vulnerability analysis, by automatically extracting information on the seasonality of water bodies and scenarios of historical flooded areas.

This goal is achieved through the generation and analysis of an historical archive of water bodies, derived by means of an automatic procedure for the extraction of flooded areas from satellite data. MODIS (Moderate Resolution Imaging Spectroradiometer) Terra and Aqua optical data have been used for this purpose, since they allow: frequent monitoring due to their daily frequency, regional analysis thanks to their global coverage (250 m spatial resolution) and the generation of a 10 years historical archive.

Bangladesh Flooded Areas

Flooded areas representation in occasion of the Bangladesh flood of June-August 2004. The image is referred to the situation during the last decade of July.

Since the imagery can be affected by the presence of cloud coverage and cloud shadows can be wrongly classified as water bodies because of the spectral response very similar to the one of water, a temporal composite technique has been adopted. The composition algorithm is made by the following steps:

  • automated detection of water bodies from daily satellite imagery;
  • combination of the 2 daily images of MODIS Terra and Aqua satellites;
  • time compositing over a 10-days period;
  • extraction of water bodies.

The compositing algorithm allows the creation of a 10-days periods archive starting from February 2000.

Different information on flood vulnerability can be extracted from the archive:

Water Covered Pixel

Figure 2. Number of times in which a pixel resulted to be covered by water in the 10 years during the last 10-days period of July in Bangladesh. The pixels which have never resulted to be covered by water are shown in brown.

  • Historical flooded areas can be derived from the comparison with reference water information (figure 1). Since water bodies extension can change during the season, it is necessary to detect the variability of water bodies and consequently to create a dynamic reference water archive.
  • The recurrence of water coverage on one area can be considered an indicator of vulnerability to flood events and it is proportional to the number of times in which an area resulted to be covered by water in the 10 years during the same 10-days period (figure 2).

The procedure can be adopted for different regions of the globe. At the moment it is being validated for the countries of Bangladesh and Ethiopia.