Objective 3: To apply GIS-based MCE to determine the best lake catchment for restoration.
The data acquired from LANDSAT8 is first clipped to the study site (Baby and Daisy Lake in Sudbury, Ontario). Since the purpose of this research is to determine the most suitable catchment for reclamation, only criteria is considered in the MCE; criteria include stream power, NDVI, wetness, and slope. All criteria layers are standardized with higher values representing more suitable areas, with the exception of NDVI, since more vegetation would suggest higher organic matter, which would increase metal accumulation. Thus, NDVI is a cost factor and is standardized with lower values representing more suitable areas. After determining the relative weights for each criterion (objective 2) and standardization, the MCE algorithm is applied to conduct a suitability analysis. The MCE algorithm to be used with the raster calculator for this analysis is as follows (where SUIT is the suitability layer to be created):
SUIT = (“NDVI” * 0.5578) + (“WETNESS” * 0.2633) + (“SLOPE” * 0.1218) + (“STREAM” * 0.0569)
To identify the area that has a suitability score of 50 or more, the raster calculator is used again with the following expression, to generate a binary layer:
“SUIT” >= 50
Once the binary layer is created, the most suitable catchment for reclamation will be determined.
The Resample tool is then used to change the spatial resolution of the data set in order to improve its display and enhance its appearance. The cell size is changed to 50 m.