I am studying the impact of urbanization on the discharge levels of a river during flooding events. For this, I need to determine the catchment's percent urbanized area through land classification from the years 1992 to 2019.
I've thought of using Landsat images, fmask, ArcMap, eCognition, and the following procedure:
- Use the
Fmaskalgorithm for cloud cover removal.
- Fill the removed portions using another (but temporally close) Landsat image with ArcMap.
- Clip the final image with the catchment shapefile.
- Have eCognition determine the percent urbanized area.
My problem is how to fill the portions that were removed by Fmask (step 2).
Is this procedure a viable method?
Moreover, I get confused as to how to process the Landsat images in ArcMap what with it having multiple bands.
And although I haven't really encountered any significant problem with eCognition aside from the somewhat low resolution image I get when working with my Landsat 8 data, I seek any suggestion as to how I can effectively use the program for determining the percent urbanized area.
I am relatively new at GIS.