1. Project consortium: Climate and Energy in a Complex Transition Process towards Sustainable Hyderabad Overview to Urban Climate Impact Modelling: Options for Hyderabad
How many minutes?

2. 2/15
Flow accumulation
Flow accumulation map – describes areas where rainwater would accumulate, derived from SRTM digital elevation data

3. Slum detection algorithm 1
3/15
Slum detection algorithm 1
Slum detection algorithm: take QuickBird image, perfomr Principal Component Analysis, make a binary image (50% binarisation), calculate lacunarity for 100x100 px boxes using 5,10 and 15 px window sizes compare with slum location matrix, calculate probabilities for each lacunarity

4. Slum detection algorithm 2
4/15
Slum detection algorithm 2
Slum detection algorithm: take QuickBird image, perform Principal Component Analysis, make a binary image (50% binarisation), calculate lacunarity for 100x100 px boxes using 5,10 and 15 px window sizes compare with slum location matrix, calculate probabilities for each lacunarity
Probability distributions

5. 5/15
Verification
Verification of the algorithm: detected slums vs. non-detected area

6. 6/15
Vulnerability
Vulnerability: the areas where informal settlements and flow accumulation intersect are the most vulnerable