Red-edge vegetation indices for detecting and assessing disturbances in Norway spruce dominated mountain forests |
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| Institution: | 1. School of Science, RMIT University, Melbourne, VIC 3000, Australia;2. Faculty for Geo-Information Science and Earth Observation (ITC), University of Twente, 7522 NB Enschede, the Netherlands;3. Cooperative Research Centre for Spatial Information (CRCSI), Carlton, VIC 3053, Australia;4. Department of Environmental Science, Macquarie University, Sydney, NSW 2109, Australia;5. European Forest Institute, Barcelona 08025, Spain;1. School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China;2. Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA;3. Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;4. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | Here we propose an approach to enhance the detection and assessment of forest disturbances in mountain areas based on red-edge reflectance. The research addresses the need for improved monitoring of areas included in the European Natura 2000 network. Thirty-eight vegetation indices (VI) are assessed for sensitivity to topographic variations. A separability analysis is performed for the resulting set of ten VI whereby two VI (PSSRc2, SR 800/550) are found most suitable for threshold-based OBIA classification. With a correlation analysis (SRCC) between VI and the training samples we identify Datt4 as suitable to represent the magnitude of forest disturbance. The provided information layers illustrate two combined phenomena that were derived by (1) an OBIA delineation and (2) continuous representation of the magnitude of forest disturbance. The satisfactory accuracy assessment results confirm that the approach is useful for operational tasks in the long-term monitoring of Norway spruce dominated forests in mountainous areas, with regard to forest disturbance. |
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| Keywords: | Forest disturbance Mountain regions OBIA Red-edge reflectance Worldview-2 Rapideye |
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