Mangrove mapping with rapideye imagery using support vector machine

C. F. Chen, N. T. Son, C. R. Chen, L. Y. Chang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Mangrove forests play an important role in stabilizing sediments and preventing soil erosion in coastal areas. It also provides a wide range of ecological and socioeconomic services for human beings and habitats for various wildlife forms. Thus, monitoring mangrove forests is essential for evaluating the current forest management policies. The main objective of this study is to investigate the spatial distributions of mangrove forests in the Gulf of Fonseca, Central America with Rapideye imagery. The data were processed for 2012 using the support vector machine (SVM). Various spatial and non-spatial data were collected for cross-checking and preparation of the ground reference data used for accuracy assessment of the classification results. The methods of data processing basically comprise four main steps: (1) geometric correction of the Rapideye data, (2) data masking of non-vegetated areas, (3) image classification with SVM, and (4) accuracy assessment of the classification results. The comparison results between the classification map and the ground reference data indicated that the overall accuracy and Kappa coefficient were 97% and 0.95, respectively. The information on mangrove forests obtained from this study might be useful for forest managers to devise better plans for sustainable management of mangrove ecosystems. Copyright

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主出版物標題34th Asian Conference on Remote Sensing 2013, ACRS 2013
發行者Asian Association on Remote Sensing
頁面2621-2624
頁數4
ISBN(列印)9781629939100
出版狀態已出版 - 2013
事件34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
持續時間: 20 10月 201324 10月 2013

出版系列

名字34th Asian Conference on Remote Sensing 2013, ACRS 2013
3

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???event.eventtypes.event.conference???34th Asian Conference on Remote Sensing 2013, ACRS 2013
國家/地區Indonesia
城市Bali
期間20/10/1324/10/13

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