Other language title :
شاخص جديد نسبت پوشش گياهي كل (TRVI) براي تخمين پوشش درختچه هاي تنك
Title of article :
A Total Ratio of Vegetation Index (TRVI) for Shrubs Sparse Cover Delineating in Open Woodland
Author/Authors :
Fadaei, Hadi Assistance Professor of Remote Sensing of Amin Police-Science University
Abstract :
Persian juniper and Pistachio are grown in low density in the rangelands of
North-East of Iran. These rangelands are populated by evergreen conifers, which are
widespread and present at low-density and sparse shrub of pistachio in Iran, that are not
only environmentally but also genetically essential as seed sources for pistachio
improvement in orchards. Rangelands offer excellent opportunities for remote-sensingbased
inventories; detection of each shrub using very high-resolution satellite data is
typically easier in sparse rangelands where the distance between shrubs exceeds the height
of trees. In this study, the densities of juniper and natural pistachio shrubs were estimated
using remote sensing to help the sustainable management and production of pistachio in
this rangeland. Satellite imagery was acquired in July 2008 by Advanced Land Observing
Satellite (ALOS). A vegetation index including Total Ratio Vegetation Index (TRVI) was
introduced for these rangelands with sparse shrub cover, and the relationship between the
new index and shrub density was investigated by the data of ALOS using 3×3 and 5×5
maximum filtering algorithms in the summer of 2011. The results showed that the
distinguishing and estimating of tree density in such an open woodland using maximum
filtering 3×3 filtering algorithms were more effective than filtering on ALOS satellite
imageries.
Keywords :
Maximum filtering algorithms 3x3 and 5x5 , Total Ratio Vegetation Index (TRVI) , Open woodland
Journal title :
Astroparticle Physics