气候变化领域集成服务门户(CCPortal): Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data

CCPortal

DOI	10.1016/j.rse.2019.111515
	Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data
	Bartsch A.; Widhalm B.; Leibman M.; Ermokhina K.; Kumpula T.; Skarin A.; Wilcox E.J.; Jones B.M.; Frost G.V.; Höfler A.; Pointner G.
发表日期	2020
ISSN	00344257
卷号	237
英文摘要	The quantification of vegetation height for the circumpolar Arctic tundra biome is of interest for a wide range of applications, including biomass and habitat studies as well as permafrost modelling in the context of climate change. To date, only indices from multispectral data have been used in these environments to address biomass and vegetation changes over time. The retrieval of vegetation height itself has not been attempted so far over larger areas. Synthetic Aperture Radar (SAR) holds promise for canopy modeling over large extents, but the high variability of near-surface soil moisture during the snow-free season is a major challenge for application of SAR in tundra for such a purpose. We hypothesized that tundra vegetation height can be derived from multispectral indices as well as from C-band SAR data acquired in winter (close to zero liquid water content). To test our hypothesis, we used C-band SAR data from Sentinel-1 and multi-spectral data from Sentinel-2. Results show that vegetation height can be derived with an RMSE of 44 cm from Normalized Difference Vegetation Index (NDVI) and 54 cm from Tasseled Cap Wetness index (TC). Retrieval from C-band SAR shows similar performance, but C-VV is more suitable than C-HH to derive vegetation height (RMSEs of 48 and 56 cm respectively). An exponential relationship with in situ height was evident for all tested parameters (NDVI, TC, C-VV and C-HH) suggesting that the C-band SAR and multi-spectral approaches possess similar capabilities including tundra biomass retrieval. Errors might occur in specific settings as a result of high surface roughness, high photosynthetic activity in wetlands or high snow density. We therefore introduce a method for combined use of Sentinel-1 and Sentinel-2 to address the ambiguities related to Arctic wetlands and barren rockfields. Snow-related deviations occur within tundra fire scars in permafrost areas in the case of C-VV use. The impact decreases with age of the fire scar, following permafrost and vegetation recovery. The evaluation of masked C-VV retrievals across different regions, tundra types and sources (in situ and circumpolar vegetation community classification from satellite data) suggests pan-Arctic applicability to map current conditions for heights up to 160 cm. The presented methodology will allow for new applications and provide advanced insight into changing environmental conditions in the Arctic. © 2019 The Authors
英文关键词	Optical; Radar; Shrubs; Tundra; Vegetation
语种	英语
scopus关键词	Biomass; Climate change; Forestry; Permafrost; Radar; Snow; Soil moisture; Surface roughness; Synthetic aperture radar; Wetlands; Environmental conditions; Multispectral indices; Normalized difference vegetation index; Optical; Photosynthetic activity; Shrubs; Tasseled cap wetness; Tundra; Vegetation; biomass; climate change; environmental conditions; feasibility study; NDVI; permafrost; satellite data; Sentinel; shrub; soil moisture; soil-vegetation interaction; synthetic aperture radar; tundra; vegetation type; Arctic
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179524
作者单位	Austrian Polar Research InstituteVienna, Austria; Zentralanstalt für Meteorologie und GeodynamikVienna, Austria; b.geos, Korneuburg, Austria; Earth Cryosphere Institute, Tyumen Scientific Centre SB RAS, Tyumen, Russian Federation; Tyumen State University, Tyumen, Russian Federation; A.N. Severtsov Institute of Ecology and Evolution RAS, Moscow, Russian Federation; University of Eastern Finland, Joensuu, Finland; Swedish University of Agricultural Sciences, Uppsala, Sweden; Cold Regions Research Centre, Wilfrid Laurier University, Ontario, Waterloo, Canada; Water and Environmental Research Centre, University of Alaska FairbanksAK, United States; Alaska Biological Research, Inc., ––Environmental Research & Services, Fairbanks, AK, United States
推荐引用方式 GB/T 7714	Bartsch A.,Widhalm B.,Leibman M.,et al. Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data[J],2020,237.
APA	Bartsch A..,Widhalm B..,Leibman M..,Ermokhina K..,Kumpula T..,...&Pointner G..(2020).Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data.Remote Sensing of Environment,237.
MLA	Bartsch A.,et al."Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data".Remote Sensing of Environment 237(2020).