THE GARDEN VEGETATION COVERAGE MONITORING AND SPATIAL ANALYSIS MODEL BASED ON REMOTE SENSING TECHNOLOGY

被引：0
|
作者：
Tan, Yingying [1 ]
Chang, Jiang [1 ]
机构：
[1] Ankang Univ, Sch Modern Agr & Biotechnol, Ankang 725000, Shaanxi, Peoples R China
来源：
SCALABLE COMPUTING-PRACTICE AND EXPERIENCE | 2024年 / 25卷 / 06期
关键词：
Garden vegetation cover; Revised standardized vegetation index (NDVIC); Pixel binary model; Precipitation;
D O I：
10.12694/scpe.v25i6.3429
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：5424 / 5430
页数：7
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