2.2 NDVI (Normalized difference vegetation index) (20 pts) The normalized difference vegetation Index (NDV) is a indicator that can be used to assess whether an target contains live green vegetation. This is a popular index in the field of remote sensing NEM applications across a number of domains, Nase has a page on their website that goes more in depth. Locate information about calculating NDV and other indices with USGS Product Guide Before we move on to calculating NOVI, first we need to create separate variables for each band. In the cell below, create variables for each of the bande [6]: Cole In the cell below, use Numpy to calculate ndvi by using the NOV. Band 3 and 4 should be used for calculation. This calculation may introduce some no data values Hint, the code here should be taily simple. If you find yourself writing many knes of code you are probably over thinking the problem and there is a better way to do k. DO stered) (NIR - Red) NDVI = (NIR + Red) 3) in the cell below, print the bounding box coordinates for the raster. (8 pes) (4) in the cell below, print the coordinate system of the rester. Rasterio will give you something like 'pag 5343. look up what that means using in a search engine. Manually print out the english nome del the coordinate system (e. print it out as a string(4 pts (5) in the cell below, print the number of bands the rester has. Each band has a selfie in detecting values from the electromagnetke spectrum And each hand may be configured depending on the sensor used. Since this is a Landsat image 2.2 NDVI (Normalized difference vegetation index) (20 pts) The normalized difference vegetation Index (NDV) is a indicator that can be used to assess whether an target contains live green vegetation. This is a popular index in the field of remote sensing NEM applications across a number of domains, Nase has a page on their website that goes more in depth. Locate information about calculating NDV and other indices with USGS Product Guide Before we move on to calculating NOVI, first we need to create separate variables for each band. In the cell below, create variables for each of the bande [6]: Cole In the cell below, use Numpy to calculate ndvi by using the NOV. Band 3 and 4 should be used for calculation. This calculation may introduce some no data values Hint, the code here should be taily simple. If you find yourself writing many knes of code you are probably over thinking the problem and there is a better way to do k. DO stered) (NIR - Red) NDVI = (NIR + Red) 3) in the cell below, print the bounding box coordinates for the raster. (8 pes) (4) in the cell below, print the coordinate system of the rester. Rasterio will give you something like 'pag 5343. look up what that means using in a search engine. Manually print out the english nome del the coordinate system (e. print it out as a string(4 pts (5) in the cell below, print the number of bands the rester has. Each band has a selfie in detecting values from the electromagnetke spectrum And each hand may be configured depending on the sensor used. Since this is a Landsat image