Spatial analysis and model construction of NDVI Based on meteorological data

Jifeng Wu,Yayu Cheng,J Zhu

doi:10.1051/matecconf/202235503040

Jifeng Wu, Yayu Cheng + Show 1 more

Open Access

https://doi.org/10.1051/matecconf/202235503040

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Abstract

NDVI (Normalized Vegetation Index) is an important characteristic index to study regional vegetation change, which is greatly influenced by meteorological data. Based on the analysis of the trend change and correlation between NDVI and PWV (Precipitable Water Vapor), precipitation and temperature in four geographical regions of China, this paper constructs a model between NDVI and PWV, precipitation and temperature in each geographical region according to multiple regression, and predicts NDVI through meteorological data. The results show that:(1) NDVI and meteorological factors have the same changing trend, and the maximum value appears in every region from June to September, and the value of NDVI in southern region is relatively large. (2) The correlation between rainfall and NDVI is the highest in Qinghai-Tibet region, the correlation between temperature, PWV and NDVI is the highest in northern region, the correlation between NDVI and rainfall, temperature and PWV is the lowest in southern region. (3)According to the meteorological data ,NDVI prediction can be achieved better, and the prediction effect in southern region is the best and the model accuracy is the highest. (4) NDVI is negatively related to El Niño event, positively related to La Nina event, and the stronger El Niño and La Nina events are, the higher the correlation is.

Highlights

Climate change is considered to be the main cause of land cover change, which is the focus of global change research [1]
It can be seen from the figure that the variation trend of PWV and rainfall is almost the same, among which the coincidence degree is higher in the southern region, and the variation trend is similar to that of NDVI, which is the maximum value in June to September
The maximum rainfall in South China can reach 300mm, while the maximum rainfall in Qinghai-Tibet and Northwest China can reach 150mm and 80mm respectively, which is consistent with the actual phenomenon.At the same time, it is consistent with the phenomenon that the NDVI value is relatively large in the southern region, so there is a certain relationship between NDVI and meteorological factors

Summary

Introduction

Climate change is considered to be the main cause of land cover change, which is the focus of global change research [1]. The NDVINormalized Vegetation Indexis considered to be the best indicator factor of vegetation growth and vegetation coverage and the most effective indicator of monitoring area or global vegetation and ecological changes [2]. Many scholars have studied the relationship, sensitivity and change between climate factors (mainly precipitation, temperature) and NDVI from different angles, and discussed the mechanism of this relationship and its ecological effect [3]. Scholars at home and abroad have done a lot of research on the relationship between time series NDVI data and meteorological factors , which proves that NDVI is sensitive to the response of meteorological factors [4]. Most of the studies focus on the change pattern of NDVI space and the relationship between NDVI and meteorological factors [6]. Most scholars only select a small area as the main research object when analyzing the response of NDVI and meteorological factors, so the research content is only suitable for the small area

Results

Discussion

Conclusion