Estimation of Structural Diversity in Urban Forests Based on Spectral and Textural Properties Derived from Digital Aerial Images

Autor:	Maliheh Arekhi, Ulas Yunus Ozkan, Tufan Demirel, İbrahim Özdemir
Rok vydání:	2019
Předmět:	Combinatorics Data source Multivariate statistics Coefficient of determination Geography Planning and Development Spectral properties Correlation analysis Earth and Planetary Sciences (miscellaneous) High spatial resolution Univariate Structural diversity Mathematics
Zdroj:	Journal of the Indian Society of Remote Sensing. 47:2061-2071
ISSN:	0974-3006 0255-660X
DOI:	10.1007/s12524-019-01052-z
Popis:	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$$\left( {H_{\text{s}}^{\prime } } \right)$$ (r = 0.599, p
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5b970a2792c5b72a7aba662a5e75265c https://doi.org/10.1007/s12524-019-01052-z Zobrazit plný text záznamu Full text from SpringerLink