SATELLITE-DERIVED BATHYMETRY USING RANDOM FOREST ALGORITHM AND WORLDVIEW-2 IMAGERY

In empirical approach, the satellite-derived bathymetry (SDB) is usually derived from a linear regression. However, the depth variable in surface reflectance has a more complex relation. In this paper, a methodology was introduced using a nonlinear regression of Random Forest (RF) algorithm for SDB...

Full description

Bibliographic Details
Main Authors: Masita Dwi Mandini Manessa, Ariyo Kanno, Masahiko Sekine, Muhammad Haidar, Koichi Yamamoto, Tsuyoshi Imai, Takaya Higuchi
Format: Article
Language:English
Published: Diponegoro University 2016-10-01
Series:Geoplanning: Journal of Geomatics and Planning
Subjects:
Online Access:http://ejournal.undip.ac.id/index.php/geoplanning/article/view/12047