Deep semantic segmentation of mangroves in Brazil combining spatial, temporal, and polarization data from Sentinel-1 time series-Reference-Cited by-同舟云学术

Deep semantic segmentation of mangroves in Brazil combining spatial, temporal, and polarization data from Sentinel-1 time series

Published:2023-01 Issue: Volume:231 Page:106381
ISSN:0964-5691
Container-title:Ocean & Coastal Management
language:en
Short-container-title:Ocean & Coastal Management

Author:

Moreno Gabriel Matheus de Souza^ORCID,de Carvalho Júnior Osmar Abílio^ORCID,de Carvalho Osmar Luiz Ferreira^ORCID,Andrade Tarsila Cutrim^ORCID

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Aquatic Science,Oceanography

Reference98 articles.

1. Comparative analysis of MODIS time-series classification using support vector machines and methods based upon distance and similarity measures in the Brazilian cerrado-caatinga boundary;Abade;Rem. Sens.,2015

2. Instance segmentation of center pivot irrigation systems using multi-temporal Sentinel-1 SAR images;Albuquerque;Remote Sens. Appl. Soc. Environ.,2021

3. Carbon cycling and storage in mangrove forests;Alongi;Ann. Rev. Mar. Sci,2014

4. An alternative approach for mapping burn scars using Landsat imagery, Google Earth Engine, and Deep Learning in the Brazilian Savanna;Arruda;Remote Sens. Appl. Soc. Environ.,2021

5. Mangrove response to environmental changes predicted under varying climates: case studies from Australia;Asbridge;Curr. For. Reports,2015

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