DOI: 10.1016/j.jag.2013.07.003
Scopus记录号: 2-s2.0-84897586324
论文题名: Uncertainty of soil reflectance retrieval from SPOT and rapideyemultispectral satellite images using a per-pixel bootstrappedempirical line atmospheric correction over an agricultural region
作者: Vaudour E ; , Gilliot J ; M ; , Bel L ; , Bréchet L ; , Hamiache J ; , Hadjar D ; , Lemonnier Y
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期: 1 起始页码: 217
结束页码: 234
语种: 英语
英文关键词: ATCOR2
; Atmospheric correction accuracy
; Per-pixel empirical line
; RapidEye
; Soil reflectance
; SPOT
Scopus关键词: accuracy assessment
; agricultural land
; atmospheric correction
; image analysis
; pixel
; satellite data
; satellite imagery
; soil property
; soil surface
; SPOT
; topsoil
英文摘要: Many authors have reported the use of empirical line regression between field target sites and imagepixels in order to perform atmospheric correction of multispectral images. However few studies werededicated to the specific reflectance retrieval for cultivated bare soils from multispectral satellite images,from a large number (≥15) of bare field targets spread over a region. Even fewer were oriented towardsadditional field targets for validation and uncertainty assessment of reflectance error. This study aimedat assessing ELM validation accuracy and uncertainty for predicting topsoil reflectance over a wide area(221 km2) with contrasting soils and tillage practices using a set of six multispectral images at very high(supermode SPOT5, 2.5 m), high (RapidEye, 6.5 m) and medium (SPOT4, 20 m) spatial resolutions. For eachimage and each spectral band, linear regression (LR) models were constructed through a series of 1000bootstrap datasets of training/validation samples generated amongst a total of about 30 field sites usedas targets, the reflectance measurements of which were made between -6 days/+7 days around acqui-sition date. The achieved models had an average coefficient of variation of validation errors of ̃14%,which indicates that the composition of training field sites does influence performance results of ELM.However, according to median LR-models, our approach mostly resulted in accurate predictions with lowstandard errors of estimation around 1-2% reflectance, validation errors of 2-3% reflectance, low vali-dation bias (<1% reflectance). The best results were obtained for SPOT5 and RapidEye images the spatialresolution of which is likely to better match the size of the sampled field sites. The worst results (highermedian RMSE values 3.1-4. 8%) were yielded for shortwave-infrared bands of SPOT4 images acquiredin March: in agricultural areas, images programmed during periods when most field tillage operationshave resulted in smooth seedbed conditions (April in this study) are in favour of better performances ofsoil reflectance prediction. Nevertheless, directional effects appear to mainly and moderately affect theglobal performance of near-infrared and SWIR bands-models except for oblique viewing images (view-ing angle > 20°). The predictions obtained from median LR-models through per-pixel bootstrapped ELMapproach were as accurate as the ATCOR2 predictions with default parameters for the RapidEye imageand were slightly more accurate and less biased for the SPOT4 images. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79639
Appears in Collections: 气候变化事实与影响
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作者单位: AgroParisTech, UMR 1091 INRA/AgroParisTech, Environnement et Grandes Cultures, Equipe Sol, Avenue Lucien Brétignières, F-78850 Thiverval-Grignon, France; INRA, UMR 1091 INRA/Agroparistech Environnement et Grandes Cultures, Equipe Sol, Avenue Lucien Brétignières, F-78850 Thiverval-Grignon, France; AgroParistech, UMR 518 MIA, 16, rue Claude Bernard, F-75231 Paris cedex 05, France; INRA, UMR 518 MIA, 16, rue Claude Bernard, F-75231 Paris cedex 05, France
Recommended Citation:
Vaudour E,, Gilliot J,M,et al. Uncertainty of soil reflectance retrieval from SPOT and rapideyemultispectral satellite images using a per-pixel bootstrappedempirical line atmospheric correction over an agricultural region[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)