DOI: 10.1016/j.jag.2013.02.002
Scopus记录号: 2-s2.0-84880101516
论文题名: Estimating the Leaf Area Index, height and biomass of maize using HJ-1 and RADARSAT-2
作者: Gao S ; , Niu Z ; , Huang N ; , Hou X
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 24, 期: 1 起始页码: 1
结束页码: 8
语种: 英语
英文关键词: Biomass
; Height
; HJ-1
; Leaf Area Index
; RADARSAT-2
; Vegetation indices (VIs)
Scopus关键词: backscatter
; biomass
; estimation method
; growth rate
; leaf area index
; maize
; model test
; model validation
; multispectral image
; observational method
; parameterization
; performance assessment
; RADARSAT
; satellite imagery
; spectral reflectance
; vegetation index
英文摘要: New optical and microwave integrated vegetation indices (VIs) were designed based on observations from both field experiments and satellite (HJ-1 and RADARSAT-2) data. It was found that these VIs perform better in estimating the structure parameters of maize, such as Leaf Area Index (LAI), height and biomass, than the original ones. This investigation focused on the difference of interaction between the multispectral reflectance and microwave backscattering signatures with the maize growth variables. Because the maize was near the heading stage with large vegetation coverage in the experiment, the reflectance of the near-infrared band of HJ-1 was much less sensitive to the structure variables than that of the visible-light band. Thus, the optical VIs formulated using those bands were saturated to estimate the structure parameters. With respect to the RADARSAT-2 data, there was a relatively strong relationship between the HV cross-polarization and the volume scattering of the maize, which was mostly determined by the crown structure. The modified VIs were designed using both the VIs of HJ-1 and the HV cross-polarization of RADARSAT-2 to overcome the saturation limitation. The validation showed that this integrated method of determining VIs is a good alternative to that using only the optical or microwave observation. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79844
Appears in Collections: 气候变化事实与影响
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作者单位: The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Science, Beijing 100039, China
Recommended Citation:
Gao S,, Niu Z,, Huang N,et al. Estimating the Leaf Area Index, height and biomass of maize using HJ-1 and RADARSAT-2[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,24(1)