• Md. Abdul Alim Sheikh
• SHARIAR RAHAMAN

NDVI in remote-sensing studies is a popular proxy for gross photosynthesis, and therefore, for vegetation productivity. A strength of NDVI is its normalization, which makes it relatively insensitive to radiometric attenuation present in multiple bands. Urbanization destroys the vegetation cover within the developed areas and at about 6–11 km distance around them. The studied urbanized areas have the NDVI values by 16 to 46 % lower than the corresponding areas at 20–40 km distance. The main weakness of NDVI is its inherent nonlinearity that leads to asymptotic saturation of NDVI over higher biomass conditions. As the acquisition date of the images did not coincide among years, which could have affected the NDVI ,check for temporal trends in the NDVI values that were not explained by variability of the climatic factors and the acquisition date of the images, we also incorporated the year of acquisition of the image as a covariate. This paper presents a Novel approach for analysis of NDVI change Detection from Multiview satellite imagery using spatial model.

NDVI, Spatial Model, nDSM, IMD

"A Novel Approach for Analysis of NDVI Change detection from Multiview Satellite Imagery Using Spatial Model ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 11, page no.1789-1793, November-2019, Available :http://www.jetir.org/papers/JETIR1912238.pdf

"A Novel Approach for Analysis of NDVI Change detection from Multiview Satellite Imagery Using Spatial Model ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 11, page no. pp1789-1793, November-2019, Available at : http://www.jetir.org/papers/JETIR1912238.pdf