Random forest based classification of seagrass habitat

被引:1
作者
Upadhyay, Anand [1 ]
Singh, Ratan [1 ]
Dhonde, Omkar [1 ]
机构
[1] Thakur Coll Sci & Commerce, Dept Informat Technol, Mumbai 400101, Maharashtra, India
关键词
Seagrass; Google Earth; Random Forest; Remote Sensing; Andaman Nicobar;
D O I
10.1080/02522667.2020.1753303
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
The name seagrass stems from the many species whose leaves are long and narrow, who grow by rhizome extension and often spread across large meadows which resemble grass land. Seagrass are flowering plants(angiosperm) which grows in marine environment. There are more than hundreds of species of seagrass which can be either monospecific which is made up of single species or in mixed beds By this topic we are trying to detect. random forest based of seagrass habitat By using kappa coefficient and random forest algorithm Although often overlooked, seagrass provided coastal zones with a number of ecosystem good and services they are also called as ecosystem Using random forest algorithm we are trying to detect seagrass habit.
引用
收藏
页码:613 / 620
页数:8
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