LAI, Vegetation Indices, Vegetation Coverage (Jingfeng Huang; Daoyi Chen) 2005 CARE UK AGM 2005 CARE UK AGM <1> Vegetation Coverage Estimation Vegetation Coverage Estimation Using Remote Sensing Vegetation Using Remote Sensing Vegetation Index and Leaf Area Index Index and Leaf Area Index Jingfeng Huang, Daoyi Chen Jingfeng Huang, Daoyi Chen School of Mechanical, Aerospace and Civil School of Mechanical, Aerospace and Civil Engineering Engineering The University of Manchester The University of Manchester Manchester, M60 1QD, United Kingdom Manchester, M60 1QD, United Kingdom [email protected][email protected]
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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 [email protected] - PowerPoint PPT Presentation
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School of Mechanical, Aerospace and Civil Engineering School of Mechanical, Aerospace and Civil Engineering The University of Manchester The University of Manchester
Manchester, M60 1QD, United KingdomManchester, M60 1QD, United Kingdom
• To investigate the potential of vegetation indices To investigate the potential of vegetation indices to estimate vegetation coverage;to estimate vegetation coverage;
• To understand the physical process the To understand the physical process the vegetation coverage grows;vegetation coverage grows;
• To estimate vegetation coverage from LAI and To estimate vegetation coverage from LAI and NDWI.NDWI.
• To explore the potential applications of To explore the potential applications of expolinear relationships between LAI, VI and expolinear relationships between LAI, VI and Vegetation coverage. Vegetation coverage.
ConclusionsConclusions1. In this ‘vegetation oriented’ study, the collapsed expolinear relationship between
Vegetation Index (VI) and Leaf Area Index (LAI) was disclosed for corn and soybean.
2. 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.
3. It is believed that vegetation leaf area is the dominant parameter to determine the surface reflectance values of spectral bands in remote sensing satellites.
4. Moreover, vegetation coverage and LAI are following another expolinear relationship which seems also identical for corn and soybean.
5. 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.
6. 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.