Abstract
In recent years, a close link between vegetation change and climate change has been established. Vegetation change can be detected with remotely sensed images, especially with normalized difference vegetation index time series records. We used change vector analysis, especially change vector magnitude (CV magnitude), as an indicator to better understand vegetation change. Twenty-one layers of CV magnitude for each 10-day period from April to October have been acquired. Maxima, range, standard deviation, mean, and minima of CV magnitude were obtained and analyzed, identifying 11 regions with different types of vegetation change during different 10-day periods. In addition, the months of maximum CV magnitude were determined to help predict future vegetation change. The following conclusions were drawn: (a) CV magnitude can serve as an indicator to compare vegetation conditions among different years; (b) 11 typical regions were identified in the study area that show vegetation changes between 1999 and 2006; (c) the months with maximum CV magnitude can be used to better understand the key periods of vegetation change during the growing season from April to October.
Highlights
Vegetation change describes temporal and spatial variations of vegetation growth
With the development of earth observation and satellite technology, remote sensing has provided an efficient source of data, especially for vegetation index data from which vegetation change information can be extracted efficiently and cheaply for large areas (Dengsheng 2006; Bao et al 2014; Zhou et al 2015)
change vector (CV) magnitude analysis for understanding vegetation changes in typical regions The maximum, range, and standard deviation of CV magnitude are higher in the east than in the west, and higher in the north than in the south of the study area
Summary
Vegetation change describes temporal and spatial variations of vegetation growth. In recent years, the study of vegetation change has been suggested as one of the major ways to track global climate change. Results and discussion After the CV magnitude for the growing season (April–October) is determined, several indices, including the maximum, range, standard deviation, mean, and the minimum of the CV magnitude, as well as a typical curve of certain regions, can be obtained to better understand vegetation changes in the study region (Fig. 3).
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