Method for national mapping spatial extent of southern beech forest using temporal spectral signatures
| Autor: | Susan K. Wiser, Jan Schindler, James D. Shepherd, John R. Dymond |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Global and Planetary Change
Spectral signature biology Sustainable forest management Forestry Vegetation Management Monitoring Policy and Law biology.organism_classification Random forest Spatial ecology Forest plot Environmental science Satellite imagery Computers in Earth Sciences Beech Earth-Surface Processes |
| Zdroj: | International Journal of Applied Earth Observation and Geoinformation. 102:102408 |
| ISSN: | 1569-8432 |
| DOI: | 10.1016/j.jag.2021.102408 |
| Popis: | Characterisation of native forests is essential for sustainable forest management and for maintenance of ecological and socio-economical functions. In New Zealand, knowledge of forest composition and extent informs predator control measures to protect native bird life, particularly in forests dominated by Southern beeches (Nothofagaceae). As high-resolution (> 1:50,000) maps of beech cover do not exist at national scale, we present a method to identify and map beech cover that combines multi-temporal spectral signatures from ESA’s Sentinel-2 satellite with forest plot survey data. A temporal stack of satellite imagery from 2016 to 2019 is used to derive annual metrics (mean and standard deviation) of vegetation indices which are used as input to a pixel-wise classification. A random forest classification, discriminating between beech/non-beech areas (with a beech relative cover threshold of 25%), and trained using 880 forest plots from the Land Use and Carbon Analysis System (LUCAS) natural forest network, achieved an accuracy of 87.7% ( ± 2.2%). This spectral classification captures both large- and local-scale spatial patterns of beech cover, which is confirmed by field visits and multi-source species occurrence information. |
| Databáze: | OpenAIRE |
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