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- W2742908327 abstract "ABSTRACTLeaf area index (LAI) is a key vegetation biophysical parameter and is extensively used in modelling of phenology, primary production, light interception, evapotranspiration, carbon, and nitrogen dynamics. In the present study, we attempt to spatially characterize LAI for natural forests of Western Ghats India, using ground based and Landsat-8 Operational Land Imager (OLI) sensor satellite data. For this, 41 ground-based LAI measurements were carried out across a gradient of tropical forest types, viz. dry, moist, and evergreen forests using LAI-2200 plant canopy analyser, during the month of March 2015. Initially, measured LAI values were regressed with 15 spectral variables, including nine spectral vegetation indices (SVIs) and six Landsat-8 surface reflectance (ρ) variables using univariate correlation analysis. Results showed that the red (ρred), near-infrared (ρNIR), shortwave infrared (ρSWIR1, ρSWIR2) reflectance bands (R2 > 0.6), and all SVIs (R2 > 0.7) except simple ratio (SR) have the hig..." @default.
- W2742908327 created "2017-08-17" @default.
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- W2742908327 date "2017-08-10" @default.
- W2742908327 modified "2023-09-25" @default.
- W2742908327 title "Estimating the leaf area index in Indian tropical forests using Landsat-8 OLI data" @default.
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- W2742908327 doi "https://doi.org/10.1080/01431161.2017.1363436" @default.
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