Towards Sustainable and Livable Cities: Leveraging Remote Sensing, Machine Learning and Geo-information Modelling to Explore and Predict Thermal Field Variance in Response to Urban Growth

Hi, Welcome to this repo! Here you will find various supporting materials including:

1. GEE Javascript based interactive Apps
2. Pdf version of paper
4. Raster/Vector Data

Paper Link/Citation

If you found our work usefull in any way, don't forget to cite:

Waleed, M.; Sajjad, M.; Acheampong, A.O.; Alam, M.T. Towards Sustainable and Livable Cities: Leveraging Remote Sensing, Machine Learning, and Geo-Information Modelling to Explore and Predict Thermal Field Variance in Response to Urban Growth. Sustainability 2023, 15, 1416. https://doi.org/10.3390/su15021416

Please click here to see the paper Waleed et al., (2023)

1. GEE Applications

(a) GEE app for visualizing LULC and UTFVI (1990-2050)

This is the main app for our project, which shows following rasers as layers, thus providing overlay comparison to see emerging trends over the years. Layers include:

• UTFVI 2050 (Hexagon, aggregated at 100m)
• UTFVI 2050 (Hexagon, aggregated at 250m)
• UTFVI 1990 Winter
• UTFVI 1990 Summer
• UTFVI 2020 Winter
• UTFVI 2020 Summer
• Land use land cover 1990
• Land use land cover 2000
• Land use land cover 2010
• Land use land cover 2020
• Land use land cover Change (1990 to 2020)
• Land use land cover 2050 (Predicted)

Click here to see the Main app for Waleed et al., (2023)

UTFVI Predicted 2050 Hexagons at 250m

Demo of the Main App

LULC Change from 1990 to 2020

Overlay of Predicted UTFVI for 2050 over city map

(b) GEE app for LULC comparison as 4 Split Maps

Click here to see the LULC comparison app

NOTE

This repository is under progress, and authors will add materials time to time. Meanwhile you can contact them for datasets, methods/models, and collaboration.

• Mirza Waleed
• Muhammad Sajjad