Influence of Geometrical Shape on Thermal Heterogeneity in Closed Landfill Sites Dataset and Codes
Description
This dataset includes the Excel sheet and Python codes used in the study "Influence of Geometrical Shape on Thermal Heterogeneity in Closed Landfill Sites". The Excel sheet includes geometrical shape factors, land surface temperature (LST), and thermal heterogeneity of thirty-eight high-risk closed landfills located in Saskatchewan, Canada. The Python code used to calculate landfill shape factors and develop the MLR model is also provided.
Files
Steps to reproduce
In this study, the vector data of the site locations and the Landsat satellite imagery were used as the main data source (Government of Saskatchewan, 2022; Earth Explorer, 2024). Each data point collected from the Government of Saskatchewan dataset represents a waste management facility, encompassing operational and decommissioned landfill sites and transfer stations. Then, landfill boundary identification was carefully done using Google Earth Pro (version 7.3.6) historical images to identify the landfill boundaries. In addition, the most recent USGS Landsat satellite imagery of the closed landfill sites was validated for all the images (Earth Explorer, 2024). Red and Near Infrared (NIR) bands (30 meters resolution) were used for the normalized difference vegetation index (NDVI) and other related indices, while the thermal infrared band (100 meters resolution, resampled to 30m) was used to calculate the LST.
Institutions
- University of Regina