Inland water's trophic status classification based on machine learning and remote sensing data-Reference-Cited by-同舟云学术

Inland water's trophic status classification based on machine learning and remote sensing data

Published:2020-08 Issue: Volume:19 Page:100326
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Watanabe Fernanda S.Y.,Miyoshi Gabriela T.,Rodrigues Thanan W.P.,Bernardo Nariane M.R.,Rotta Luiz H.S.,Alcântara Enner,Imai Nilton N.

Funder

São Paulo Research Foundation (FAPESP

National Council for Scientific and Technological Development (CNPq

CNPq

PNPD/CAPES (Coordination of Superior Level Staff Improvement, National Program of Postdoctorate

FCT/UNESP

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference54 articles.

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