气候变化领域集成服务门户(CCPortal): Evaluating impacts of snow, surface water, soil and vegetation on empirical vegetation and snow indices for the Utqiaġvik tundra ecosystem in Alaska with the LVS3 model

CCPortal

DOI	10.1016/j.rse.2020.111677
	Evaluating impacts of snow, surface water, soil and vegetation on empirical vegetation and snow indices for the Utqiaġvik tundra ecosystem in Alaska with the LVS3 model
	Zhang Q.; Yao T.; Huemmrich K.F.; Middleton E.M.; Lyapustin A.; Wang Y.
发表日期	2020
ISSN	00344257
卷号	240
英文摘要	Satellite observations for the Arctic and boreal region may contain information of vegetation, soil, snow, snowmelt, and/or other surface water bodies. We investigated the impacts of vegetation, soil, snow and surface water on empirical vegetation/snow indices on a tundra ecosystem area located around Utqiaġvik (formerly Barrow) of Alaska with the Moderate Resolution Imaging Spectrometer (MODIS) images in 2001–2014. Empirical vegetation indices, such as normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), the index of near infrared of vegetation (NIRv), and modified EVI (EVI2), have been used to monitor vegetation. Normalized difference snow index (NDSI) has been widely applied to monitor snow. The vegetation cover fraction (VGCF), the soil cover fraction (SOILCF), the snow cover fraction (SNOWCF), the surface water body cover fraction (WaterBodyCF), the fractional absorption of photosynthetically active radiation (PAR) by vegetation chlorophyll (fAPARchl), the fractional absorption of PAR by non-chlorophyll components of the vegetation (fAPARnon-chl), and the fractional absorption of PAR by the entire canopy (fAPARcanopy) are retrieved with the MODIS images and a coupled Leaf-Vegetation-Soil-Snow-Surface water body radiative transfer model, LVS3. The vegetation indices (NDVI, EVI, EVI2 and NIRv) differ from VGCF, fAPARchl, fAPARnon-chl, and fAPARcanopy. In addition to vegetation, we find that soil, snow and surface water also have impacts on vegetation indices NDVI, EVI (EVI2), and NIRv. Presence of snow makes lower the observed values of NDVI, EVI2 and NIRv. After snowmelt is gone, the vegetation indices (NDVI, EVI, EVI2 and NIRv) linearly decrease with SOILCF and WaterBodyCF, and WaterBodyCF has stronger impacts on these vegetation indices than SOILCF. The relationship between EVI and snow is complicated. NDSI non-linearly increases with SNOWCF, but linearly increases with sum of SNOWCF and WaterBodyCF (sum = 0.5893 × NDSI +0.4342, R2 = 0.976). NDSI linearly decreases with VGCF, and the relationship between NDSI and SOILCF is complex. Retrievals of VGCF, fAPARchl, fAPARnon-chl and fAPARcanopy with the LVS3 model provide alternatives for vegetation monitoring and ecological modeling. © 2020 Elsevier Inc.
英文关键词	Arctic tundra; EVI (EVI2); Hyperion; LVS3; MODIS; NDSI; NDVI; NIRv; Snow cover fraction (SNOWCF); Soil cover fraction (SOILCF); Surface water body cover fraction (WaterBodyCF); Vegetation cover fraction (VGCF)
语种	英语
scopus关键词	Chlorophyll; Ecosystems; Infrared devices; Landforms; Radiative transfer; Radiometers; Snow; Snow melting systems; Soils; Spectrometers; Vegetation; Water absorption; Arctic tundra; EVI (EVI2); Hyperion; LVS3; MODIS; NDSI; NDVI; NIRv; Snow covers; Soil cover; Surface water body; Vegetation cover; Surface waters; empirical analysis; Hyperion; MODIS; NDVI; photosynthetically active radiation; radiative transfer; snow cover; snowmelt; soil cover; tundra; vegetation cover; vegetation index; Alaska; Arctic; Barrow; United States
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/179425
作者单位	Universities Space Research Association, Columbia, MD 20146, United States; NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States; University of Maryland at Baltimore County, Baltimore, MD 21250, United States
推荐引用方式 GB/T 7714	Zhang Q.,Yao T.,Huemmrich K.F.,et al. Evaluating impacts of snow, surface water, soil and vegetation on empirical vegetation and snow indices for the Utqiaġvik tundra ecosystem in Alaska with the LVS3 model[J],2020,240.
APA	Zhang Q.,Yao T.,Huemmrich K.F.,Middleton E.M.,Lyapustin A.,&Wang Y..(2020).Evaluating impacts of snow, surface water, soil and vegetation on empirical vegetation and snow indices for the Utqiaġvik tundra ecosystem in Alaska with the LVS3 model.Remote Sensing of Environment,240.
MLA	Zhang Q.,et al."Evaluating impacts of snow, surface water, soil and vegetation on empirical vegetation and snow indices for the Utqiaġvik tundra ecosystem in Alaska with the LVS3 model".Remote Sensing of Environment 240(2020).