Dynamic monitoring of surface area and water volume of reservoirs using satellite imagery, computer vision and deep learning-Reference-Cited by-同舟云学术

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Dynamic monitoring of surface area and water volume of reservoirs using satellite imagery, computer vision and deep learning

Published:2024-08 Issue: Volume:35 Page:101205
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Teixeira Ariane Marina de Albuquerque^ORCID,Batista Leonardo Vidal^ORCID,Silva Richarde Marques da^ORCID,Freitas Luccas Matheus Torres^ORCID,Santos Celso Augusto Guimarães^ORCID

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Universidade Federal da Paraíba

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Reference73 articles.

1. TensorFlow: a system for large-scale machine learning;Abadi,2016

2. Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria);Abda;Hydrol. Sci. J.,2022

3. Identification of water bodies in a Landsat 8 OLI image using a J48 decision tree;Acharya;Sensors,2016

4. A cloud-based multi-temporal ensemble classifier to map smallholder farming systems;Aguilar;Rem. Sens.,2018

5. Evolutionary deep learning for computer vision and image processing;Al-Sahaf;Appl. Soft Comput.,2024

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic Lake and River Detection from Satillite Images Using MobileNet Scheme;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

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