DOI: 10.1016/j.jag.2014.03.020
Scopus记录号: 2-s2.0-84904460941
论文题名: Quantifying winter wheat residue biomass with a spectral angle index derived from China environmental satellite data
作者: Zhang M ; , Wu B ; , Meng J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 32, 期: 1 起始页码: 105
结束页码: 113
语种: 英语
英文关键词: China environment satellite (Hj-1b)
; Crop residue biomass
; Field spectrometry
; Spectral angle index
; Winter wheat
Scopus关键词: agricultural ecosystem
; biomass
; carbon cycle
; crop residue
; environmental conditions
; IRS (satellite)
; satellite data
; satellite imagery
; spectral analysis
; spectrometry
; vegetation dynamics
; wheat
; China
英文摘要: Quantification of crop residue biomass on cultivated lands is essential for studies of carbon cycling ofagroecosystems, soil-atmospheric carbon exchange and Earth systems modeling. Previous studies focuson estimating crop residue cover (CRC) while limited research exists on quantifying crop residue biomass.This study takes advantage of the high temporal resolution of the China Environmental Satellite (HJ-1)data and utilizes the band configuration features of HJ-1B data to establish spectral angle indices to esti-mate crop residue biomass. Angles formed at the NIRIRSvertex by the three vertices at R, NIRIRS, and SWIR(ANIRIRS) of HJ-1B can effectively indicate winter wheat residue biomass. A coefficient of determination(R2) of 0.811 was obtained between measured winter wheat residue biomass and ANIRIRSderived fromsimulated HJ-1B reflectance data. The ability of ANIRIRSfor quantifying winter wheat residue biomassusing HJ-1B satellite data was also validated and evaluated. Results indicate that ANIRIRSperformed wellin estimating winter wheat residue biomass with different residue treatments; the root mean square error(RMSE) between measured and estimated residue biomass was 0.038kg/m2. ANIRIRSis a potential methodfor quantifying winter wheat residue biomass at a large scale due to wide swath width (350km) and four-day revisit rate of the HJ-1 satellite. While ANIRIRScan adequately estimate winter wheat residue biomassat different residue moisture conditions, the feasibility of ANIRIRSfor winter wheat residue biomass esti-mation at different fractional coverage of green vegetation and different environmental conditions (soiltype, soil moisture content, and crop residue type) needs to be further explored. © 2014 Elsevier B.V. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79674
Appears in Collections: 气候变化事实与影响
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作者单位: Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
Recommended Citation:
Zhang M,, Wu B,, Meng J. Quantifying winter wheat residue biomass with a spectral angle index derived from China environmental satellite data[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,32(1)