Classification and Mapping of Plant Communities Using Multi-Temporal and Multi-Spectral Satellite Images
نویسندگان
چکیده
Classification and mapping of plant communities is an essential step for conservation management ecosystems biodiversity. We adopt the Genus-Physiognomy-Ecosystem (GPE) system developed in previous study satellite-based classification at a broad scale. This paper assesses potential multi-spectral multi-temporal images collected by Sentinel-2 satellites GPE types. research was conducted seven representative sites different climatic regions ranging from one warm-temperate site Aya to six cool-temperate Hakkoda, Zao, Oze, Shirakami, Kitakami Shiranuka. The types were enumerated all ground truth data with reference extant vegetation surveys, visual interpretation high-resolution images, onsite field observations. acquired Level-1C product available between 2017-2019 generated monthly median composite consisting ten spectral twelve spectral-indices. Gradient Boosting Decision Trees (GBDT) classifier employed supervised satellite support data. cross-validation accuracy terms kappa coefficient varied 87% Oze 41 95% Hakkoda 19 types; average performance 91% across sites. maps produced this demonstrated clear distribution sites, highlighting operational broad-scale communities.
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ژورنال
عنوان ژورنال: Journal of Geography and Geology
سال: 2022
ISSN: ['1916-9779', '1916-9787']
DOI: https://doi.org/10.5539/jgg.v14n1p43