Using semi-automated classification algorithms in the context of an ecosystem service assessment applied to a temperate atlantic estuary-Reference-Cited by-同舟云学术

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Using semi-automated classification algorithms in the context of an ecosystem service assessment applied to a temperate atlantic estuary

Published:2024-11 Issue: Volume:36 Page:101306
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Afonso F.^ORCID,Ponte Lira C.,Austen M.C.,Broszeit S.,Melo R.,Nogueira Mendes R.,Salgado R.,Brito A.C.

Funder

Horizon 2020

Fundacao para a Ciencia e a Tecnologia

Publisher

Elsevier BV

Reference142 articles.

1. Challenges and limitations of remote sensing applications in northern peatlands: present and future prospects;Abdelmajeed;Rem. Sens.,2024

2. A rule-based classification method for mapping saltmarsh land-cover in south-eastern Bangladesh from Landsat-8 OLI;Alam;Can. J. Rem. Sens.,2021

3. Sample size calculations for comparative studies of medical tests for detecting the presence of disease;Alonzo;Stat. Med.,2002

4. Estudo de caso da região do Sado: zonas costeiras;Andrade,2006

5. Potential contributions of remote sensing to ecosystem service assessments;Andrew;Prog. Phys. Geogr. Earth Environ.,2014

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