Our code can detect the structural changes that happen to a particular place due to floods or water damage. We are able to remove interferences such as living conditions and clouds in the satellite images that we have acquired to produce the final outputs. By having an areal estimation it is easier to calculate the total infrastructural damage to check on the ground since when a flood happens it leads to series outbreaks such as cholera etc. Which makes on-site surveys dangerous and also the damaged buildings poses a threat to anyone who visits there . Our project eliminates the need to being physically present in the spot of disaster. We hope to help all countries world to get an estimate of the flood damage so that precautions ae taken .
All the members of this team have faced various problems due to floods in our home towns, this gave us the motive too take this topic . We have developed the code using python language. We had various approaches where we thought about various factors such as clouds and other obstructions in the atmosphere after flooding after various rounds of tails errors and thing we were able to successfully develop a project . We faced problems due to lack of raw data of the post and pre floods ,but we did over come by thinking about the image data that satellites collects
We uses the images provided by NASA in its earth observatory website to generate the outputs of the before and after floods, where we could asses the damage and differences .We did go through all the space agency data to get a clear idea on how to proceed.