Published on Jul 09, 2019 | Bikesh Bade
Developed Land Cover Change Analysis - A case study of Chicago Metro Area from 2001 to 2016 using NLCD Data
I used 2001, 2004, 2006, 2008, 2011, 2013, and 2016 to determine the change. The developed land cover increased by 6.19% in the Chicago area between 2001 and 2016. More interestingly, the developed land sprawled beyond the metro area expanding the Greater Chicago National Land Cover Data is used for analysis. you can download data from site NLCD. The average growth rate of the population in Chicago is 0.12% as per the Open Data Network.
The method used for the study of land cover change analysis is done with the help of ArcGIS 10.3. First of all the NLCD data is load in ArcGIS and then Chicago shapefile is loaded ( you can get Chicago shapefile from the link ). Then NLCD data is extracted for the Chicago area using tool Extract by Mask after classifying the Land cover data. Classification is done with the tool Reclass as attribute 22 23 24 indicate development area, so reclass then to a single class. I applied the same method to all the NLCD data ( 2001 to 2016). After data extraction, calculate the area of the develope with raster count and cell size. The cell size of the data is 30 * 30 m so the area is extracted using raster count multiplying 30 * 30. similarly, continue the same process for all year.
Finally, with the calculated area of developed land cover for all the year, change in the Land Cover between years is computed with subtracting the develope area of the lower year from higher year and dividing with the lower year. And Convert the change into a percentage. The prominent change is found between the year 2001 and 2016, the developed land sprawled beyond the metro area expanding in Greater Chicago. Addressing the rate of change in the develope land cover and average population change Chicago metro area is growing every year to some extent. If changes continue, in a decade Vegetation and open space in the Chicago Metro area will be cover with Settlement.
I would like to thank Dinesh Shrestha for the support and direction for this study.