DOI: 10.1016/j.jag.2013.04.003
Scopus记录号: 2-s2.0-84888220912
论文题名: Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels
作者: Schlemmera M ; , Gitelson A ; , Schepersa J ; , Fergusona R ; , Peng Y ; , Shanahana J ; , Rundquist D
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 25, 期: 1 起始页码: 47
结束页码: 54
语种: 英语
英文关键词: Chlorophyll
; Nitrogen
; Reflectance
; Remote sensing
; Vegetation index
Scopus关键词: canopy
; chlorophyll
; estimation method
; leaf
; maize
; nitrogen
; reflectance
; remote sensing
; spectral analysis
; vegetation index
; Zea mays
英文摘要: Leaf and canopy nitrogen (N) status relates strongly to leaf and canopy chlorophyll (Chl) content. Remote sensing is a tool that has the potential to assess N content at leaf, plant, field, regional and global scales. In this study, remote sensing techniques were applied to estimate N and Chl contents of irrigated maize (Zea mays L.) fertilized at five N rates. Leaf N and Chl contents were determined using the red-edge chlorophyll index with R2 of 0.74 and 0.94, respectively. Results showed that at the canopy level, Chl and N contents can be accurately retrieved using green and red-edge Chl indices using near infrared (780-800 nm) and either green (540-560 nm) or red-edge (730-750 nm) spectral bands. Spectral bands that were found optimal for Chl and N estimations coincide well with the red-edge band of the MSI sensor onboard the near future Sentinel-2 satellite. The coefficient of determination for the relationships between the red-edge chlorophyll index, simulated in Sentinel-2 bands, and Chl and N content was 0.90 and 0.87, respectively. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79816
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, United States; CALMIT, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE 68583, United States
Recommended Citation:
Schlemmera M,, Gitelson A,, Schepersa J,et al. Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,25(1)