2024
DOI: 10.3390/rs16071296
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Changes in Vegetation NDVI and Its Response to Climate Change and Human Activities in the Ferghana Basin from 1982 to 2015

Heli Zhang,
Lu Li,
Xiaoen Zhao
et al.

Abstract: Exploring the evolution of vegetation cover and its drivers in the Ferghana Basin helps to understand the current ecological status of the Ferghana Basin and to analyze the vegetation changes and drivers, with a view to providing a scientific basis for regional ecological and environmental management and planning. Based on GIMMS NDVI3g and meteorological data, the spatial and temporal evolution characteristics of NDVI were analyzed from multiple perspectives with the help of linear trend and Mann–Kendall (MK) … Show more

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Cited by 5 publications
(3 citation statements)
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“…Thus, the principle of NDVI is to measure the greenness intensity, which is correlated with vegetation density 42 . In this way, the higher the NDVI value, the higher the vegetation density, and vice versa, only applicable for positive values 43 , 44 . In this study, we used the NDVI for riparian zones due to the relevant role of this zone in regulating inputs of nutrients, organic matter, and even xenobiotics 45 .…”
Section: Discussionmentioning
confidence: 99%
“…Thus, the principle of NDVI is to measure the greenness intensity, which is correlated with vegetation density 42 . In this way, the higher the NDVI value, the higher the vegetation density, and vice versa, only applicable for positive values 43 , 44 . In this study, we used the NDVI for riparian zones due to the relevant role of this zone in regulating inputs of nutrients, organic matter, and even xenobiotics 45 .…”
Section: Discussionmentioning
confidence: 99%
“…The influence of natural factors needed to be eliminated in correlation analysis to more accurately judge the relationship between EEQ and human factors and vice versa. Introducing a third variable in the correlation calculation process effectively eliminates the influence of the third factor, so the spatiotemporal response of EEQ to changes in a single variable could be more accurately identified [43]. Therefore, A change curve (Figure 3b) exists for variables A and B (Figure 3a) within N years for any pixel point, which represents the trend of the changes in the variables at that location over N years.…”
Section: Pixel-based Correlation Analysismentioning
confidence: 99%
“…Nonetheless, the rise in temperature also caused plants to transpire more quickly, which had an impact on the rate and efficiency of the plants' use of water, ultimately impeding their growth to some degree [20,21]. On the other hand, vegetation growth is strongly influenced by precipitation, especially in the arid regions of the Southern Hemisphere, where precipitation not only provides necessary water for plants but also helps to regulate surface temperatures and slows down the process of evapotranspiration and heat dissipation in soil and vegetation [22][23][24].…”
Section: Introductionmentioning
confidence: 99%