DOI: 10.1016/j.jag.2014.04.003
Scopus记录号: 2-s2.0-84904462848
论文题名: Retrieval of wheat leaf area index from AWiFS multispectral datausing canopy radiative transfer simulation
作者: Nigam R ; , Bhattacharya B ; K ; , Vyas S ; , Oza M ; P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 32, 期: 1 起始页码: 173
结束页码: 185
语种: 英语
英文关键词: Canopy radiative transfer
; Crop
; LAI retrieval
; Satellite
Scopus关键词: canopy
; computer simulation
; crop plant
; empirical analysis
; leaf area index
; multispectral image
; radiative transfer
; remote sensing
; wheat
英文摘要: Accurate representation of leaf area index (LAI) from high resolution satellite observations is obligatory forvarious modelling exercises and predicting the precise farm productivity. Present study compared the tworetrieval approach based on canopy radiative transfer (CRT) method and empirical method using four veg-etation indices (VI) (e.g. NDVI, NDWI, RVI and GNDVI) to estimate the wheat LAI. Reflectance observationsavailable at very high (56 m) spatial resolution from Advanced Wide-Field Sensor (AWiFS) sensor onboardIndian Remote Sensing (IRS) P6, Resourcesat-1 satellite was used in this study. This study was performedover two different wheat growing regions, situated in different agro-climatic settings/environments:Trans-Gangetic Plain Region (TGPR) and Central Plateau and Hill Region (CPHR). Forward simula-tion of canopy reflectances in four AWiFS bands viz. green (0.52-0.59 μm), red (0.62-0.68 μm), NIR(0.77-0.86 μm) and SWIR (1.55-1.70 μm) were carried out to generate the look up table (LUT) using CRTmodel PROSAIL from all combinations of canopy intrinsic variables. An inversion technique based on mini-mization of cost function was used to retrieve LAI from LUT and observed AWiFS surface reflectances. Twoconsecutive wheat growing seasons (November 2005-March 2006 and November 2006-March 2007)datasets were used in this study. The empirical models were developed from first season data and sec-ond growing season data used for validation. Among all the models, LAI-NDVI empirical model showedthe least RMSE (root mean square error) of 0.54 and 0.51 in both agro-climatic regions respectively. Thecomparison of PROSAIL retrieved LAI with in situ measurements of 2006-2007 over the two agro-climaticregions produced substantially less RMSE of 0.34 and 0.41 having more R2of 0.91 and 0.95 for TGPRand CPHR respectively in comparison to empirical models. Moreover, CRT retrieved LAI had less value oferrors in all the LAI classes contrary to empirical estimates. The PROSAIL based retrieval has potential foroperational implementation to determine the regional crop LAI and can be extendible to other regionsafter rigorous validation exercise. © 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/79782
Appears in Collections: 气候变化事实与影响
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作者单位: Agricultural, Terrestrial Biosphere and Hydrology Group (EPSA), Space Applications Centre (ISRO), Ahmedabad 380 015, India
Recommended Citation:
Nigam R,, Bhattacharya B,K,et al. Retrieval of wheat leaf area index from AWiFS multispectral datausing canopy radiative transfer simulation[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,32(1)