气候变化领域集成服务门户(CCPortal): Investigation of land surface phenology detections in shrublands using multiple scale satellite data

CCPortal

DOI	10.1016/j.rse.2020.112133
	Investigation of land surface phenology detections in shrublands using multiple scale satellite data
	Peng D.; Wang Y.; Xian G.; Huete A.R.; Huang W.; Shen M.; Wang F.; Yu L.; Liu L.; Xie Q.; Liu L.; Zhang X.
发表日期	2021
ISSN	00344257
卷号	252
英文摘要	Shrublands occupy about 13% of the global land surface, contain about one-third of the biodiversity, store about half of the global terrestrial carbon, and provide many ecosystem services to a large amount of world's human population and livestock. Because phenology is a sensitive indicator of the response of shrubland ecosystems to climate change, the alteration of ecosystems following species invasions, and the dynamics of shrubland ecosystem function, biodiversity, and carbon budgets, it is critical to monitor and assess phenological dynamics in shrubland ecosystems. However, most current land surface phenology (LSP) products derived from satellite data do not provide phenology detections in some semiarid shrublands where the amplitude of seasonal vegetation greenness is small. Therefore, we investigated the LSP detection using multiple spatial resolution satellite data and examined the impacts of spatial scales and shrubland ecosystem components (shrub and herb cover) on LSP detections over the western United States. Specifically, greenup onset date (GUD) in shrublands was detected from 30 m Harmonized Landsat and Sentinel-2 (HLS) data and 500 m Visible Infrared Imaging Radiometer Suite (VIIRS) data to quantify scale effects. The GUD spatial patterns were explored with 30 m pixel variations in shrubland ecosystem components. The results show that GUD values varied with percent vegetation cover and shifted to earlier dates with increasing vegetation cover, demonstrating that satellite observations were not able to capture greenup onset until a threshold of green vegetation cover is reached. GUD was mostly undetectable from both HLS and VIIRS pixels with vegetation cover less than 10% and became fully detectable with vegetation covers larger than 50%. Similarly, the differences of GUD between HLS and VIIRS detections also decreased with increased vegetation cover. As a result of high shrubland heterogeneity, GUD from 30 m HLS pixels could be partially detected within a 500 m pixel despite GUD being undetectable from VIIRS time series. Moreover, vegetation cover heterogeneity also made it difficult for GUD at 30 m to be aggregated to coarse scales (such as to 500 m VIIRS pixels). These findings have significant implications to the detection and characterization of shrubland LSP responses to environmental and climate changes. © 2020 Elsevier Inc.
英文关键词	Greenup onset date; HLS; Scale effect; Shrubland ecosystem components; Time series; VIIRS
语种	英语
scopus关键词	Aggregates; Agriculture; Biodiversity; Budget control; Carbon; Climate change; Pixels; Small satellites; Surface measurement; Thermography (imaging); Vegetation; Ecosystem components; Global land surface; Land surface phenology; Phenology detection; Satellite observations; Vegetation greenness; Visible infrared imaging radiometer suites; Western United States; Ecosystems; biodiversity; climate change; detection method; ecosystem function; land surface; phenology; satellite data; shrubland; terrestrial ecosystem; vegetation cover; VIIRS; 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/179075
作者单位	Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China; Key Laboratory of Earth Observation, Sanya, Hainan Province 572029, China; University of Chinese Academy of Sciences, Beijing, 100049, China; U.S. Geological Survey (USGS) Earth Resources Observation and Science Center, Sioux Falls, SD 57198, United States; School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Institute of Agricultural Remote Sensing and Information Technology, Zhejiang University, Hangzhou, 310058, China; Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China; Natural Capital Project, Woods Institute for the Environment, Stanford University, Stanford, CA 94305, Unite...
推荐引用方式 GB/T 7714	Peng D.,Wang Y.,Xian G.,et al. Investigation of land surface phenology detections in shrublands using multiple scale satellite data[J],2021,252.
APA	Peng D..,Wang Y..,Xian G..,Huete A.R..,Huang W..,...&Zhang X..(2021).Investigation of land surface phenology detections in shrublands using multiple scale satellite data.Remote Sensing of Environment,252.
MLA	Peng D.,et al."Investigation of land surface phenology detections in shrublands using multiple scale satellite data".Remote Sensing of Environment 252(2021).