Changes reflected after Supratim's review3
"cell_type": "markdown",
"metadata": {},
"source": [
- "Here, the pixels with light green color having a value of \"1\" shown in the map legend represent agricultural land whereas the pixels with dark green color having a value of \"2\" represent forest area/ tree cover."
+ "Here, the pixels with light green color having a value of \"1\" represent agricultural land whereas the pixels with dark green color having a value of \"2\" represent forest area/ tree cover."
]
},
{
"\n",
"NDVI is used here compared to the other spectral indices because it is easy to compute and requires only two bands. Pixels with NDVI values greater than 0.4 and less than 0.5 are considered as agricultural land, parks, etc and the pixels with more than or equal to 0.5 NDVI values are considered as tree cover/ forest areas.\n",
"\n",
- "Finally, the area of the pixels of agricultural land and forest class is calculated to estimate overall green cover of Delhi. Finally, the area of the pixels of agricultural land and forest class is calculated to estimate overall green cover of Delhi.\n",
+ "Finally, the area of the pixels of agricultural land and forest class is calculated to estimate overall green cover of Delhi.\n",
"\n",
"The study shows how the green land cover of an area could be easily computed in few lines of code using Esri's predefined NDVI layer and Landsat 8 imagery from ArcGIS server. "
]
