alexa Using Spectral Vegetation Indices Derived From In Situ Single Leaf-level Reflectance To Estimate Seasonal Progression Of Vegetation Fraction Among Mid-latitude Deciduous Trees
ISSN: 2168-9792

Journal of Aeronautics & Aerospace Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Share This Page

Additional Info

Loading
Loading Please wait..
 

3rd International Conference and Exhibition on Satellite & Space Missions
May 11-13, 2017 Barcelona, Spain

Humphrey Kalibo
Marshall University, USA
Posters & Accepted Abstracts: J Aeronaut Aerospace Eng
DOI: 10.4172/2168-9792-C1-017
Abstract
Vegetation fraction (VF) greatly influences crucial processes like photosynthesis and evapotranspiration. However, it is among the least studied of the biophysical parameters, yet it is needed in several applications, notably estimating soil erosion, analysis of carbon storage estimates and development of atmospheric models, which have policy implications regarding climate research. Existing methods for deriving VF, e.g., using satellite imagery and spectral mixture analysis have limitations. Consequently, an alternative methodology for quantitatively estimating this parameter for different vegetation types, especially over the growing season, is needed. This study describes a simple technique for estimating VF that combines the power of spectral vegetation indices (VIs) and the simplicity of digital photography. It employs upward-looking hemispherical photographs of twelve deciduous tree canopies and eight VIs calculated from in situ single-leaf level reflectance data to calculate VF. When plotted over time, the VIs showed very similar seasonal patterns as the photo-derived VF of each tree, and the VF values estimated by the VIs were temporally similar for each tree over the growing season. NDVI and SAVI had the highest estimation accuracy. SR showed temporal similarity with the VF of low-foliage trees, and had considerably higher accuracy of prediction. Seasonality and amount of foliage cover significantly affected estimation accuracies. This methodology is simple, inexpensive and could be adapted to other settings. It can complement existing methods and can potentially be used to study other critical parameters such as LAI and biomass in other types of vegetation, but further research is needed to validate it.
Biography

Email: [email protected]

image PDF   |   image HTML
 

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords