extremely significantp < 0.01
According to the results of the significance test, the trend is divided into three levels: extremely significant ( p < 0.01), significant ( p < 0.05), and insignificant ( p ≥ 0.05) [ 9 ]. 2.4.2.
According to the results of the significance test, the trend is divided into three levels: extremely significant ( p < 0.01), significant ( p < 0.05), and insignificant ( p ≥ 0.05) [ 9 ]. 2.4.2.
(2) From 2001 to 2017, the NDVI in the TP shows a slight trend of increase, with a growth rate of 0.01/10a.
Areas with extremely significant reduction trend of NDVI value in the growing season show an obvious trend, and the growth rate is greater than that of the extremely significant increase area ( Figure 6 ).
The area where NDVI value of meadows and grasslands shows a decreasing trend is declining, and the areas with significant increase and extremely significant increase of the NDVI value in forest lands (coniferous forests and broad-leaved forests) are increasing significantly.
Trend Analysis Method Based on the analysis of the variation trend of NDVI in the growing season in TP during 2001–2017 with the method of linear regression, the formula is: (2) θ s l o p e = n × ∑ i = 1 n ( i × N D V I i ) − ∑ i = 1 n i ∑ i = 1 n N D V I i n × ∑ i = 1 n i 2 − ( ∑ i = 1 n i ) 2 where n represents a time series, n = 17; NDVI i represents the NDVI value of the year i ; θ slope is the inter-annual variation slope of a pixel NDVI; positive value of θ slope indicates that the NDVI shows an increasing trend, and vice versa.