Remote Sensing Data in Assessing Urban Density

The possibility of using remote sensing data to assess the density of urban development is demonstrated. For the example of the Zapadnoe Kuntsevo residential complex, it is found that the actual rate of development differs significantly from the value proposed by Sizov. The development density coefficient (0.3) is within public health standards. The greatest rate of development was observed in 2013 and 2014. Evidently, the formula for the rate of urban development must be corrected to take account of periods of intense growth. Analysis of the NDVI index indicates that the rate at which farmland close to residential complexes is taken over is increasing.