Title: Research on vegetation coverage optimisation of urban landscape based on vegetation index

Authors: Hua Yang

Addresses: College of Art and Design, Yellow River Conservancy Technical Institute, Kaifeng 475000, China

Abstract: In order to overcome the problem of fuzziness and randomness of remote sensing data, a vegetation coverage optimisation of urban landscape based on vegetation index is designed. The remote sensing image of vegetation cover is preprocessed by the principal component analysis. According to the fuzzy principal component image, GIS software is used as the platform of input data, and Fragstat software package is used to calculate the vegetation index of urban landscape. The NDVI value of shadow pixels is changed into background value, and Band Math is used on ENVI platform to get the NDVI data after removing the outliers. According to the principle of pixel dichotomy, the mixed pixel decomposition model is established to estimate the vegetation coverage and realise the vegetation coverage optimisation of urban landscape. The experimental results show that the vegetation coverage rate is 53%, the performance breakthrough is achieved and the pixel accuracy is more than 90%.

Keywords: vegetation index; urban landscape; vegetation coverage.

DOI: 10.1504/IJETM.2020.114136

International Journal of Environmental Technology and Management, 2020 Vol.23 No.5/6, pp.359 - 370

Received: 10 Apr 2020
Accepted: 28 Sep 2020
Published online: 09 Apr 2021 *

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