DOI: 10.1016/j.jag.2013.06.001
Scopus记录号: 2-s2.0-84897585814
论文题名: Hyperspectral and multispectral satellite sensors for mappingchlorophyll content in a Mediterranean Pinus sylvestris L. plantation
作者: Navarro-Cerrilloa R ; M ; , Trujillo J ; , de la Orden M ; S ; , Hernández-Clemente R
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期: 1 起始页码: 88
结束页码: 96
语种: 英语
英文关键词: Chlorophyll
; Mediterranean pine forests
; Multi and hiper spectral sensors
; Spectral vegetation indicesa
Scopus关键词: chlorophyll
; forest
; image resolution
; mapping
; plantation forestry
; QuickBird
; radiative transfer
; satellite sensor
; spatial resolution
; spectral analysis
; vegetation dynamics
; Spain
英文摘要: A new generation of narrow-band hyperspectral remote sensing data offers an alternative to broad-bandmultispectral data for the estimation of vegetation chlorophyll content. This paper examines the potentialof some of these sensors comparing red-edge and simple ratio indices to develop a rapid and cost-effectivesystem for monitoring Mediterranean pine plantations in Spain. Chlorophyll content retrieval was ana-lyzed with the red-edge R750/R710index and the simple ratio R800/R560index using the PROSPECT-5 leafmodel and the Discrete Anisotropic Radiative Transfer (DART) and experimental approach. Five sensorswere used: AHS, CHRIS/Proba, Hyperion, Landsat and QuickBird. The model simulation results obtainedwith synthetic spectra demonstrated the feasibility of estimating Ca + b content in conifers using thesimple ratio R800/R560index formulated with different full widths at half maximum (FWHM) at the leaflevel. This index yielded a r2= 0.69 for a FWHM of 30 nm and r2= 0.55 for a FWHM of 70 nm. Experimen-tal results compared the regression coefficients obtained with various multispectral and hyperspectralimages with different spatial resolutions at the stand level. The strongest relationships where obtainedusing high-resolution hyperspectral images acquired with the AHS sensor (r2= 0.65) while coarser spa-tial and spectral resolution images yielded a lower root mean square error (QuickBird r2= 0.42; Landsatr2= 0.48; Hyperion r2= 0.56; CHRIS/Proba r2= 0.57). This study shows the need to estimate chlorophyllcontent in forest plantations at the stand level with high spatial and spectral resolution sensors. Never-theless, these results also show the accuracy obtained with medium-resolution sensors when monitoringphysiological processes. Generating biochemical maps at the stand level could play a critical rule in theearly detection of forest decline processes enabling their use in precision forestry. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79683
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Forestry Engineering, University of Cordoba, Edf. Leonardo da Vinci, Campus de Rabanales, 14075 Cordoba, Spain; Department of Geomatics, University of Cordoba, Edf. C-5, Campus de Rabanales, 14075 Cordoba, Spain
Recommended Citation:
Navarro-Cerrilloa R,M,, Trujillo J,et al. Hyperspectral and multispectral satellite sensors for mappingchlorophyll content in a Mediterranean Pinus sylvestris L. plantation[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)