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Forest diversity estimation using Sentinel-2 and RapidEye imagery: a case study of the Northern Pindos National Park
Author(s): Irene Chrysafis; Giorgos Mallinis; Georgios Korakis; Eleni Dragozi
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Paper Abstract

Forest biodiversity is an essential indicator of the sustainability and functioning of forest ecosystems worldwide. Improvements in remote sensing data characteristics such as temporal, spectral, radiometric and spatial resolution, elevates the potential of satellite imagery for species diversity monitoring at various spatial and temporal scales. This study investigated the use of Sentinel-2 MSI and RapidEye imagery for estimating and mapping a-diversity in a protected forest area in Northern Greece. Additional objectives of the study included the comparative evaluation of the information content of the two sensors and the assessment of the optimum diversity index (S, H and D1) that could be related with the spectral and spatial information content of the images. Field data were collected during summer 2018, from 60 square plots within the Natura 2000 sites of the Northern Pindos National Park. Sentinel-2 and RapidEye satellite images were acquired over the same season and pre-processed for minimizing errors and variability due to atmosphere and topography. A robust machine learning algorithm was used to model the relationship between diversity indices and spectral and spatial features of the images. The results of the analysis demonstrated the potential of the remote sensing technology for monitoring and reporting biodiversity over forest protected areas.

Paper Details

Date Published: 27 June 2019
PDF: 9 pages
Proc. SPIE 11174, Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), 1117407 (27 June 2019); doi: 10.1117/12.2533661
Show Author Affiliations
Irene Chrysafis, Democritus Univ. of Thrace (Greece)
Giorgos Mallinis, Democritus Univ. of Thrace (Greece)
Georgios Korakis, Democritus Univ. of Thrace (Greece)
Eleni Dragozi, Hellenic Forests GP (Greece)


Published in SPIE Proceedings Vol. 11174:
Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019)
Kyriacos Themistocleous; Giorgos Papadavid; Silas Michaelides; Vincent Ambrosia; Diofantos G. Hadjimitsis, Editor(s)

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