Remote sensing study of wetlands in the Pearl River Delta during 1995–2015 with the support vector machine method
X Han, J Pan, AT Devlin - Frontiers of Earth Science, 2018 - Springer
In recent years, the Pearl River Delta has experienced rapid economic growth which may
create a substantial burden to its ecology. In this study, the wetlands of the Pearl River Delta
are investigated. Through the use of remote sensing methods, we analyze spatial and
temporal variations of wetlands in this area over the past twenty years. The support vector
machine (SVM) method is proven to be an effective approach for classifying the wetlands of
the Pearl River Delta, and the total classification resolution reaches 94.94% with a Kappa …
create a substantial burden to its ecology. In this study, the wetlands of the Pearl River Delta
are investigated. Through the use of remote sensing methods, we analyze spatial and
temporal variations of wetlands in this area over the past twenty years. The support vector
machine (SVM) method is proven to be an effective approach for classifying the wetlands of
the Pearl River Delta, and the total classification resolution reaches 94.94% with a Kappa …
Remote sensing study of wetlands in the Pearl River Delta during 1995-2015 with the support vector machine method.
HXS Han XiaoSong, PJY Pan JiaYi, AT Devlin - 2018 - cabidigitallibrary.org
In recent years, the Pearl River Delta has experienced rapid economic growth which may
create a substantial burden to its ecology. In this study, the wetlands of the Pearl River Delta
are investigated. Through the use of remote sensing methods, we analyze spatial and
temporal variations of wetlands in this area over the past twenty years. The support vector
machine (SVM) method is proven to be an effective approach for classifying the wetlands of
the Pearl River Delta, and the total classification resolution reaches 94.94% with a Kappa …
create a substantial burden to its ecology. In this study, the wetlands of the Pearl River Delta
are investigated. Through the use of remote sensing methods, we analyze spatial and
temporal variations of wetlands in this area over the past twenty years. The support vector
machine (SVM) method is proven to be an effective approach for classifying the wetlands of
the Pearl River Delta, and the total classification resolution reaches 94.94% with a Kappa …
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