DOI: 10.1016/j.jag.2012.10.008
Scopus记录号: 2-s2.0-84880274496
论文题名: Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on sentinel-2 and-3
作者: Clevers J ; G ; P ; W ; , Gitelson A ; A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 344
结束页码: 351
语种: 英语
英文关键词: Chlorophyll content
; MERIS
; Nitrogen content
; Red-edge
; Sentinel-2
; Sentinel-3
; Vegetation indices
Scopus关键词: chlorophyll
; crop
; Envisat-1
; estimation method
; grass
; image resolution
; MERIS
; nitrogen
; remote sensing
; Sentinel
; spatial resolution
英文摘要: Sentinel-2 is planned for launch in 2014 by the European Space Agency and it is equipped with the Multi Spectral Instrument (MSI), which will provide images with high spatial, spectral and temporal resolution. It covers the VNIR/SWIR spectral region in 13 bands and incorporates two new spectral bands in the rededge region, which can be used to derive vegetation indices using red-edge bands in their formulation. These are particularly suitable for estimating canopy chlorophyll and nitrogen (N) content. This band setting is important for vegetation studies and is very similar to the ones of the Ocean and Land Colour Instrument (OLCI) on the planned Sentinel-3 satellite and the Medium Resolution Imaging Spectrometer (MERIS) on Envisat, which operated from 2002 to early 2012. This paper focuses on the potential of Sentinel-2 and Sentinel-3 in estimating total crop and grass chlorophyll and N content by studying in situ crop variables and spectroradiometer measurements obtained for four different test sites. In particular, the red-edge chlorophyll index (CIred-edge), the green chlorophyll index (CIgreen) and the MERIS terrestrial chlorophyll index (MTCI) were found to be accurate and linear estimators of canopy chlorophyll and N content and the Sentinel-2 and-3 bands are well positioned for deriving these indices. Results confirm the importance of the red-edge bands on particularly Sentinel-2 for agricultural applications, because of the combination with its high spatial resolution of 20 m. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79829
Appears in Collections: 气候变化事实与影响
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作者单位: Wageningen University, Center for Geo-Information, Droevendaalsesteeg 3, 6708 PB Wageningen, Netherlands; Center for Advanced Land Management Information Technologies, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE 58588, United States
Recommended Citation:
Clevers J,G,P,et al. Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on sentinel-2 and-3[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)