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  • 标题:USING MULTISPECTRAL DATA FROM LANDSAT ETM+ TO ESTIMATE LEAF AREA INDEX OF PECAN ORCHARDS
  • 本地全文:下载
  • 作者:Yahia A Othman ; Ralston St Hilaire
  • 期刊名称:Fresenius Environmental Bulletin
  • 印刷版ISSN:1018-4619
  • 出版年度:2021
  • 卷号:30
  • 期号:3
  • 页码:2613-2618
  • 语种:English
  • 出版社:PSP Publishing
  • 摘要:Plant physiologists use leaf area index (LAI) as an essential tool to predict vegetation cover,growth and yield.The objective of this two-year study was to determine whether multispectral reflectance indices derived from Landsat 7 Enhanced Thematic Mapper (ETM+) can estimate LAI of pecan (Carya illinoinensis Wangenh.C.Koch) orchards.The study was conducted on two mature (20-30 years old) pecan orchards,one growing on a sandy loam soil and the other on a clay loam soil.Ground reference LAI measurements were synchronized with overpasses of Landsat ETM+ satellite acquisition times.For both orchards,single band surface reflectance,band ratio and vegetation indices were determined and their correlations with LAI were assessed.At sandy loam site,ground reference LAI ranged from 1.11 to 2.06.At the clay loam site,LAI was between 1.01 and 1.60 across the growing seasons.Our results revealed that surface reflectance from single bands did not significantly correlate with LAI at both sites.Additionally,the relationship between LAI and most studied vegetation indices was inconsistent or/and not significant across both orchards (sandy and clay sites).However,three vegetation indices showed significant correlation (P-value < 0.05) with LAI in both pecan orchards.In the orchard grown on the sandy soil,the correlation coefficient (r) for normalized difference infrared Index-band 5 (NDII5) was 0.84,enhanced vegetation index (EVI) and green normalized difference vegetation index (GNDVI) was 0.83.The correlations for the orchard grown on the clay soil were,NDII5 = 0.75,EVI = 0.65 and GNDVI = 0.63.Overall,we conclude that multispectral data derived from Landsat ETM+ holds promise for estimation of the LAI of pecans grown on clay and sandy soils.
  • 关键词:Landsat ETM+;Remote sensing;Chlorophyll;Band ratio;NDVI.
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