Application of Normalized Difference Vegetation Index (NDVI) for the Detection of Extreme Precipitation Change

Pei, Fengsong; Zhou, Yi; Xia, Yan

doi:10.3390/f12050594

Cited by 30 publications

(14 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We conducted three experiments to capture vegetation activity by analyzing the sensitivity of vegetation activity to maximum, average and minimum NDVI. Consequently, maximum NDVI in the growing season was found to capture changes of vegetation activity well [37]. A linear regression model was applied on the maximum NDVI to assess whether strengthened (or decreased) vegetation activity exists.…”

Section: The Ndvi As a Proxy To Monitor The Vegetation Activitymentioning

confidence: 99%

Assessing the Impacts of Extreme Precipitation Change on Vegetation Activity

2021

Self Cite

View full text Add to dashboard Cite

Extreme climate events frequently have more severe effects on terrestrial vegetation activity than long-term changes in climate averages. However, changes in extreme climate events as well as their potential risk on vegetation activity are still poorly understood. By using the Middle and Lower Reaches of the Yangtze River (MLR-YR) in China as an example, this paper aims to understand the vegetation response to changes in extreme precipitation events from 1982 to 2012 using the maximum normalized difference vegetation index (NDVI) as an indicator. By applying extreme value theory (EVT), the potential risks of extreme precipitation events on vegetation activity were analyzed by conducting return period analysis. Results indicated that vegetation activity could be affected by extreme precipitation events, especially the combined effects of the frequency and intensity of precipitation extremes. For instance, vegetation activity could be enhanced in the regions with weakened intensity but increased occurrence of extreme precipitation events. In addition, we found potential risk of extreme precipitation events on vegetation activity from the results of precipitation extreme trend and return period analysis. These phenomena can be associated with the local occurrence of extreme precipitation events, different land cover types, and soil moisture cumulative effect on vegetation growth. This study stresses the importance of considering both current changes in and the potential risk of extreme precipitation events to understand their effects on vegetation activity.

show abstract

Section: The Ndvi As a Proxy To Monitor The Vegetation Activitymentioning

confidence: 99%

Assessing the Impacts of Extreme Precipitation Change on Vegetation Activity

2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Jiao et al [25] studied the driving factors of NDVI changes on the Qinghai-Tibet Plateau, and the results showed that precipitation is the dominant factor driving vegetation changes, accounting for 39.7% of the survey region. Pei et al [26] studied the sensitivity of vegetation activities in the Yangtze River Basin of China to changes in extreme precipitation events, and the results showed that there was a relationship between NDVI changes and extreme precipitation events; both showed an increasing trend, especially the maximum NDVI. However, it is difficult to comprehensively describe the dry-wet climate conditions using a single precipitation or temperature factor.…”

Section: Introductionmentioning

confidence: 99%

Influences of Climate Change and Human Activities on NDVI Changes in China

et al. 2021

View full text Add to dashboard Cite

The spatiotemporal evolution of vegetation and its influencing factors can be used to explore the relationships among vegetation, climate change, and human activities, which are of great importance for guiding scientific management of regional ecological environments. In recent years, remote sensing technology has been widely used in dynamic monitoring of vegetation. In this study, the normalized difference vegetation index (NDVI) and standardized precipitation–evapotranspiration index (SPEI) from 1998 to 2017 were used to study the spatiotemporal variation of NDVI in China. The influences of climate change and human activities on NDVI variation were investigated based on the Mann–Kendall test, correlation analysis, and other methods. The results show that the growth rate of NDVI in China was 0.003 year−1. Regions with improved and degraded vegetation accounted for 71.02% and 22.97% of the national territorial area, respectively. The SPEI decreased in 60.08% of the area and exhibited an insignificant drought trend overall. Human activities affected the vegetation cover in the directions of both destruction and restoration. As the elevation and slope increased, the correlation between NDVI and SPEI gradually increased, whereas the impact of human activities on vegetation decreased. Further studies should focus on vegetation changes in the Continental Basin, Southwest Rivers, and Liaohe River Basin.

show abstract

“…The Inner Mongolia region is located in the northern frontier of China, with a vast territory, high terrain, and complex and diverse landscapes, and is one of the most sensitive regions in the world to external environmental changes due to its arid and semi-arid climate [49]. Over the past 40 years, temperatures in the region have risen much faster than the global average, and the rapid rise in temperature and dramatic reduction in precipitation have exacerbated the degradation of vegetation [50,51]. In addition, since 2000, the region has entered a phase of rapid socioeconomic development, and climate change and human activities are rapidly restructuring the structure and function of vegetation systems at all levels and simultaneously affecting the ecology and future sustainability of the region [52].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Vegetation Change and Its Potential Drivers in Inner Mongolia from 2000 to 2019

et al. 2021

View full text Add to dashboard Cite

Inner Mongolia in China is a typically arid and semi-arid region with vegetation prominently affected by global warming and human activities. Therefore, investigating the past and future vegetation change and its impact mechanism is important for assessing the stability of the ecosystem and the ecological policy formulation. Vegetation changes, sustainability characteristics, and the mechanism of natural and anthropogenic effects in Inner Mongolia during 2000–2019 were examined using moderate resolution imaging spectroradiometer normalized difference vegetation index (NDVI) data. Theil–Sen trend analysis, Mann–Kendall method, and the coefficient of variation method were used to analyze the spatiotemporal variability characteristics and sustained stability of the NDVI. Furthermore, a trend estimation method based on a Seasonal Trend Model (STM), and the Hurst index was used to analyze breakpoints and change trends, and predict the likely future direction of vegetation, respectively. Additionally, the mechanisms of the compound influence of natural and anthropogenic activities on the vegetation dynamics in Inner Mongolia were explored using a Geodetector Model. The results show that the NDVI of Inner Mongolia shows an upward trend with a rate of 0.0028/year (p < 0.05) from 2000 to 2019. Spatially, the NDVI values showed a decreasing trend from the northeast to the southwest, and the interannual variation fluctuated widely, with coefficients of variation greater than 0.15, for which the high-value areas were in the territory of the Alxa League. The areas with increased, decreased, and stable vegetation patterns were approximately equal in size, in which the improved areas were mainly distributed in the northeastern part of Inner Mongolia, the stable and unchanged areas were mostly in the desert, and the degraded areas were mainly in the central-eastern part of Inner Mongolia, it shows a trend of progressive degradation from east to west. Breakpoints in the vegetation dynamics occurred mainly in the northwestern part of Inner Mongolia and the northeastern part of Hulunbuir, most of which occurred during 2011–2014. The future NDVI trend in Inner Mongolia shows an increasing trend in most areas, with only approximately 10% of the areas showing a decreasing trend. Considering the drivers of the NDVI, we observed annual precipitation, soil type, mean annual temperature, and land use type to be the main driving factors in Inner Mongolia. Annual precipitation was the first dominant factor, and when these four dominant factors interacted to influence vegetation change, they all showed interactive enhancement relationships. The results of this study will assist in understanding the influence of natural elements and human activities on vegetation changes and their driving mechanisms, while providing a scientific basis for the rational and effective protection of the ecological environment in Inner Mongolia.

show abstract

Application of Normalized Difference Vegetation Index (NDVI) for the Detection of Extreme Precipitation Change

Cited by 30 publications

References 53 publications

Assessing the Impacts of Extreme Precipitation Change on Vegetation Activity

Assessing the Impacts of Extreme Precipitation Change on Vegetation Activity

Influences of Climate Change and Human Activities on NDVI Changes in China

Monitoring Vegetation Change and Its Potential Drivers in Inner Mongolia from 2000 to 2019

Contact Info

Product

Resources

About