Correlation Analysis of Vegetation Indices with Canopy Closure using Worldview-2 Imagery

Canopy closure is the one of biophysical surrogate in forest ecosystem modelling. It represents the structural characteristics and can be used as forest productivity indicator. The aim of this research is to assess the utilization of Spectral Vegetation Indices (SVI) to estimate canopy closure in forest environment using World View 2 imagery. The research area is a part of forest located in Banyuwangi District. This research review some of vegetation indices such as Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), Ratio Vegetation Index (RVI) and Difference Vegetation Index (DVI). As a modelling input and verification data, we use a set of field samples that collected from some distinct area with homogenous and heterogeneous vegetation. The expected result of this research is the most optimum vegetation index that can used for canopy closure estimation in the forest environment.