气候变化领域集成服务门户(CCPortal): Evolution of the representation of global vegetation by vegetation continuous fields

CCPortal

DOI	10.1016/j.rse.2020.112271
	Evolution of the representation of global vegetation by vegetation continuous fields
	DiMiceli C.; Townshend J.; Carroll M.; Sohlberg R.
发表日期	2021
ISSN	00344257
卷号	254
英文摘要	Two decades of global annual fractional vegetation cover products have been derived using daily surface reflectance and land surface temperature data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. These MODIS Vegetation Continuous Fields (VCF) products are unique and a distinct advance over discrete (ordinal) land cover characterizations. VCF consists of three continuous fractional cover layers at 250 m resolution summing to 100%: tree cover, non-tree vegetation and non-vegetated surface plus surface water. This paper describes the fully-automated machine learning algorithm used to create MODIS VCF and details recent algorithm improvements. Comparisons of the latest VCF products in the MOD44B collection 6, with field-based fractional tree cover and other remote sensing fractional cover products demonstrate improved agreement: the root mean square (RMS) deviations range from 9 to 23%. A comparison of MODIS canopy cover values with those from the Global Ecosystem Dynamics Investigation (GEDI) gives an R2 value of 0.53. Automation of the algorithm provides flexibility for readily porting the method to derive fractional cover products from additional instruments with similar radiometric characteristics such as the Visible Infrared Imaging Radiometer (VIIRS) payload aboard Suomi NPP and JPSS platforms, and successors. © 2020 Elsevier Inc.
英文关键词	Fractional vegetation cover; Land cover; Land remote sensing; Machine learning; MODIS; Vegetation continuous fields
语种	英语
scopus关键词	Forestry; Instrument scales; Learning algorithms; Machine learning; NASA; Radiometers; Remote sensing; Surface waters; Thermography (imaging); Vegetation; Algorithm improvements; Fractional tree cover; Fractional vegetation cover; Infrared imaging radiometers; Moderate resolution imaging spectroradiometer; Radiometric characteristic; Surface reflectance; Vegetation continuous fields; Land surface temperature; algorithm; land cover; land surface; machine learning; MODIS; remote sensing; Suomi NPP; Terra (satellite); tree; vegetation cover; VIIRS
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/178984
作者单位	Department of Geographical Sciences, University of Maryland, College Park, MD, United States; Code 606, NASA Goddard Space Flight Center, Greenbelt, MD, United States
推荐引用方式 GB/T 7714	DiMiceli C.,Townshend J.,Carroll M.,et al. Evolution of the representation of global vegetation by vegetation continuous fields[J],2021,254.
APA	DiMiceli C.,Townshend J.,Carroll M.,&Sohlberg R..(2021).Evolution of the representation of global vegetation by vegetation continuous fields.Remote Sensing of Environment,254.
MLA	DiMiceli C.,et al."Evolution of the representation of global vegetation by vegetation continuous fields".Remote Sensing of Environment 254(2021).