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DOI	10.1080/01431161.2023.2287561
	Exploring NDVI change patterns across the Tibetan Plateau at the hillslope scale using geomorphons
	Yadav, Shobha K.; Maxwell, Aaron E.
发表日期	2023
ISSN	0143-1161
EISSN	1366-5901
起始页码	7543
结束页码	7569
卷号	44 期号:23
英文摘要	Within the Tibetan Plateau (TP), grassland degradation is of great concern, and there is a need to better understand the spatial variability and landscape patterns in grassland degradation across the TP. This study explores potential patterns in grassland degradation, estimated using Landsat-derived normalized difference vegetation index (NDVI) growing season change products generated by a prior study. Shuttle Radar Topography Mission (SRTM) digital terrain model (DTM)-derived geomorphons, topographic slope and the topographic position index (TPI) were used to explore grassland degradation and assess whether changes in growing season NDVI are associated with specific grasslands or landforms. An increase in NDVI within the TP was observed especially during the 1990 to 2018 and 2000 to 2018 time periods. Higher growing season median NDVI change values were found for the Southeast Tibet Shrublands and Meadows (SETSM) and TP Alpine Shrublands and Meadows (TPASM) grasslands in comparison to the other grassland types analysed, suggesting a more pronounced greening trend in the eastern portion of the plateau in comparison to the western portion. Small differences in NDVI change were observed for different geomorphon-based landforms, while topographic slope and TPI showed only modest correlations with NDVI change for all time periods and grassland types. More localized patterns of grassland degradation were masked by the widespread greening trends. Further analysis of only pixels that experienced a decreasing NDVI magnitude of less than or equal to -0.1 also generally suggested more change in the SETSM and TPASM. While this study generally supports the use of geomorphons as an analysis and aggregating unit for studying change patterns at the hillslope scale, more research is required to fully grasp the dynamics of landscape change at the hillslope scale in the TP.
关键词	Tibetan Plateau grassland degradation normalized difference vegetation index NDVI geomorphons landscape change
英文关键词	LAND DEGRADATION; CLIMATE-CHANGE; TREND ANALYSIS; QUANTITATIVE ASSESSMENT; GRASSLAND DEGRADATION; VEGETATION DYNAMICS; MODIS DATA; RESTORATION; IMPACTS; IMAGERY
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001115535200001
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/283737
作者单位	Texas A&M University System; Texas A&M University College Station; West Virginia University; West Virginia University
推荐引用方式 GB/T 7714	Yadav, Shobha K.,Maxwell, Aaron E.. Exploring NDVI change patterns across the Tibetan Plateau at the hillslope scale using geomorphons[J],2023,44(23).
APA	Yadav, Shobha K.,&Maxwell, Aaron E..(2023).Exploring NDVI change patterns across the Tibetan Plateau at the hillslope scale using geomorphons.INTERNATIONAL JOURNAL OF REMOTE SENSING,44(23).
MLA	Yadav, Shobha K.,et al."Exploring NDVI change patterns across the Tibetan Plateau at the hillslope scale using geomorphons".INTERNATIONAL JOURNAL OF REMOTE SENSING 44.23(2023).