Active fire detection in Landsat-8 imagery: A large-scale dataset and a deep-learning study-Reference-Cited by-同舟云学术

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Active fire detection in Landsat-8 imagery: A large-scale dataset and a deep-learning study

Published:2021-08 Issue: Volume:178 Page:171-186
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

de Almeida Pereira Gabriel Henrique,Fusioka Andre Minoro,Nassu Bogdan Tomoyuki,Minetto Rodrigo

Funder

Nvidia

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference51 articles.

1. SmokeNet: Satellite Smoke Scene Detection Using Convolutional Neural Network with Spatial and Channel-Wise Attention;Ba;Remote Sens.,2019

2. Near Real-Time Wildfire Progression Monitoring with Sentinel-1 SAR Time Series and Deep Learning;Ban;Sci. Rep.,2020

3. Synthesis of Multispectral Optical Images From SAR/Optical Multitemporal Data Using Conditional Generative Adversarial;Bermudez;Networks,2019

4. Phenorice: A method for automatic extraction of spatio-temporal information on rice crops using satellite data time series;Boschetti;Remote Sens. Environ.,2017

5. Assessing and reinitializing wildland fire simulations through satellite active fire data;Cardil;J. Environ. Manage.,2019

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