The Garden Vegetation Coverage Monitoring and Spatial Analysis Model based on Remote Sensing Technology

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Yingying Tan
Jiang Chang

Abstract

A correlation study was conducted between SPOTVEGNDVI monthly data and rainfall data in Yulin, Yan ’an, Xi ’an and Ankang of Shaanxi Province from 2015 to 2022. The ecological effects of urban vegetation cover were studied using the revised standardized Vegetation Index (NDVIC). It is found that NDVIC has a strong correlation with precipitation, and its correlation increases with the increase of altitude. Vegetation cover in the Ankang area increased significantly from 2016 to 2022. The net primary productivity index of urban green space increased significantly in October 2016-2022, which is an objective reflection of the effectiveness of urban green construction. This study can lay a theoretical foundation for the objective quantitative assessment of the ecological effects of urban vegetation cover.

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Speciai Issue - Deep Learning in Healthcare