Update README.md

README.md

@@ -17,7 +17,9 @@ One can see [Product Roadmap](https://github.com/plant99/felicette/wiki/Product-
 ### Installation
 
 `felicette` depends on GDAL. But the following steps cover GDAL's installation as well.
+
 `rio-color` uses numpy headers to setup, thus installing numpy and GDAL=={ogrinfo --version} would be sufficient before installing felicette.
+
 #### Debian 
 ```
 $ sudo add-apt-repository ppa:ubuntugis/ppa
@@ -84,24 +86,24 @@ Felicette can download and process Landsat images taking the location's input as
 
 With location name:
 
- $ felicette -l "Svalbard"
+ $ felicette -l "Kanyakumari"
 
 With coordinates:
 
- $ felicette -c 20.9752 77.8750
+ $ felicette -c 77.5385 8.0883
 
 `-p` option uses the panchromatic band to enhance image's resolution to 15 meters, contrary to resolution of RGB bands(30 meters). 
 To get a better image using felicette use:
 
- $ felicette -p -c 20.9752 77.8750
+ $ felicette -p -c 77.5385 8.0883
 
 `-pre` option downloads a low-res image for preview, to check if the image is worth your computation, Network I/O. :)
 
- $ felicette -pre -p -c 20.9752 77.8750
+ $ felicette -pre -p -c 77.5385 8.0883
 
 `-v` option generates a [CIR](https://eos.com/color-infrared/) image to highlight vegetation in 'red' color. Note that, '-p' option isn't taken into consideration while generating CIR imagery in felicette.
 
- $ felicette -pre -v -l "Svalbard"
+ $ felicette -pre -v -l "Kanyakumari"
 
 
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