DOI: 10.1016/j.jag.2013.02.006
Scopus记录号: 2-s2.0-84888273541
论文题名: Retrieval of remotely sensed LAI using Landsat ETM+ data and ground measurements of solar radiation and vegetation structure: Implication of leaf inclination angle
作者: Propastin P ; , Panferov O
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 25, 期: 1 起始页码: 38
结束页码: 46
语种: 英语
英文关键词: Birch
; Germany
; LAI
; Radiative transfer model
Scopus关键词: algorithm
; canopy
; Landsat thematic mapper
; leaf area index
; NDVI
; optical property
; photosynthetically active radiation
; radiative transfer
; remote sensing
; solar radiation
; vegetation cover
; vegetation structure
; zenith angle
; Germany
英文摘要: A time series of leaf area index (LAI) of a managed birch forest in Germany (near Dresden) has been developed based on 16-day normalized difference vegetation index (NDVI) data from the Landsat ETM+ sensor at 30 m resolution. The Landsat ETM+ LAI was retrieved using a modified physical radiative transfer (RTM) model which establishes a relationship between LAI, fractional vegetation cover (fC), and given patterns of surface reflectance, view-illumination conditions and optical properties of vegetation. In situ measurements of photosynthetically active radiation (PAR) and vegetation structure parameters using hemispherical photography (HSP) served for calibration of model parameters, while data from litter collection at the study site provided the ground-based estimates of LAI for validation of modelling results. Influence of view-illumination conditions on optical properties of canopy was simulated by a view angle geometry model incorporating the solar zenith angle and the sensor viewing angle. Effects of intra-annual and inter-annual variability of structural properties of the canopy on the light extinction coefficient were simulated by implementing variability of the leaf inclination angle (LIA), which was confirmed in the study site. The results revealed good compatibility of the produced Landsat ETM+ LAI data set with the litter-estimated LAI. The results also showed high sensitivity of the LAI retrieval algorithm to variability of structural properties of the canopy: the implementation of LIA dynamics into the LAI retrieval algorithm significantly improved the model accuracy. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79860
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Bioclimatology, Büsgen-Institute, Georg-August University Göttingen, Büsgenweg 2, 37077, Göttingen, Germany
Recommended Citation:
Propastin P,, Panferov O. Retrieval of remotely sensed LAI using Landsat ETM+ data and ground measurements of solar radiation and vegetation structure: Implication of leaf inclination angle[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,25(1)