JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, cilt.47, sa.12, ss.2061-2071, 2019 (SCI İndekslerine Giren Dergi)
Urban forests generally have a heterogeneous structure consisting of small vegetation patches. High spatial resolution digital aerial images are still a primary data source for urban forest inventories. In the present study, the estimation possibilities of the structural diversity of urban forests were evaluated using image properties extracted from digital aerial images. Firstly, relationships between structural diversity indices and image properties were determined using the correlation analysis. It was found out that structural diversity indices were significantly correlated with spectral and textural properties. The strongest relationship was calculated between the normalized difference vegetation index and species-based Shannon-Wiener diversity index Hs ' (r=0.599, p<0.01). The relationship between textural properties and structural diversity indices was slightly lower compared to spectral properties. The strongest relationship between textural properties and structural diversity indices was calculated between the Entropy values derived from DVI and Hs