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Vegetation Coverage Estimation Using Remote Sensing Vegetation Index and Leaf Area Index

Vegetation Coverage Estimation Using Remote Sensing Vegetation Index and Leaf Area Index Jingfeng Huang, Daoyi Chen School of Mechanical, Aerospace and Civil Engineering The University of Manchester Manchester, M60 1QD, United Kingdom j.huang-2@postgrad.manchester.ac.uk

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Vegetation Coverage Estimation Using Remote Sensing Vegetation Index and Leaf Area Index

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  1. Vegetation Coverage Estimation Using Remote Sensing Vegetation Index and Leaf Area Index Jingfeng Huang, Daoyi Chen School of Mechanical, Aerospace and Civil Engineering The University of Manchester Manchester, M60 1QD, United Kingdom j.huang-2@postgrad.manchester.ac.uk d.y.chen@manchester.ac.uk

  2. To investigate the potential of vegetation indices to estimate vegetation coverage; To understand the physical process the vegetation coverage grows; To estimate vegetation coverage from LAI and NDWI. To explore the potential applications of expolinear relationships between LAI, VI and Vegetation coverage. Objectives

  3. Study Area

  4. Vegetation Index vs LAI

  5. Vegetation Index vs LAI

  6. LAI vs Vegetation Coverage

  7. VI vs Vegetation Coverage

  8. Conclusions • In this ‘vegetation oriented’ study, the collapsed expolinear relationship between Vegetation Index (VI) and Leaf Area Index (LAI) was disclosed for corn and soybean. • The NIR&SWIR based Normalized Vegetation Water Index (NDWI) which are superior to NIR&VIS-based NDVI were used to estimate LAI and Vegetation Coverage. • It is believed that vegetation leaf area is the dominant parameter to determine the surface reflectance values of spectral bands in remote sensing satellites. • Moreover, vegetation coverage and LAI are following another expolinear relationship which seems also identical for corn and soybean. • Results evidenced leaf area index is a promising index to estimate vegetation coverage accurately, although physically both vertical accumulation of leaf layers and horizontal expansion of leaf area are contributing to LAI growth. • If such vegetation species independency can be extended to trees and grasslands in urban area, the methodology will propose an easy but efficient way to estimate vegetation coverage in urban sustainable development.

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