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Peer-reviewed Journals (62)

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1	Material Type: Article	Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.6308-6325 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2020.3026724 ;CODEN: IJSTHZ Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (1), p.43 [Peer Reviewed Journal] 2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11010043 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series Remote sensing (Basel, Switzerland), 2022-06, Vol.14 (11), p.2654 [Peer Reviewed Journal] 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14112654 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (21), p.4405 [Peer Reviewed Journal] 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13214405 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Landslide detection using deep learning and object-based image analysis Landslides, 2022-04, Vol.19 (4), p.929-939 [Peer Reviewed Journal] The Author(s) 2022 ;ISSN: 1612-510X ;EISSN: 1612-5118 ;DOI: 10.1007/s10346-021-01843-x Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples International journal of applied earth observation and geoinformation, 2022-12, Vol.115, p.103095, Article 103095 [Peer Reviewed Journal] 2022 ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2022.103095 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Convolutional neural network and long short-term memory models for ice-jam predictions The cryosphere, 2022-04, Vol.16 (4), p.1447-1468 COPYRIGHT 2022 Copernicus GmbH ;2022. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1994-0424 ;ISSN: 1994-0416 ;EISSN: 1994-0424 ;DOI: 10.5194/tc-16-1447-2022 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	A Novel Active Contours Model for Environmental Change Detection from Multitemporal Synthetic Aperture Radar Images Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1746 [Peer Reviewed Journal] 2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12111746 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3511 [Peer Reviewed Journal] 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12213511 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.3602-3613 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2021.3065569 ;CODEN: IJSTHZ Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Big Data for a Big Country: The First Generation of Canadian Wetland Inventory Map at a Spatial Resolution of 10-m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform Canadian journal of remote sensing, 2020-01, Vol.46 (1), p.15-33 [Peer Reviewed Journal] EISSN: 1712-7971 ;DOI: 10.1080/07038992.2019.1711366 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Deep learning based crop-type mapping using SAR and optical data fusion International journal of applied earth observation and geoinformation, 2024-05, Vol.129, p.103860, Article 103860 [Peer Reviewed Journal] 2024 The Author(s) ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2024.103860 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Active Fire Detection from Landsat-8 Imagery Using Deep Multiple Kernel Learning Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.992 [Peer Reviewed Journal] 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14040992 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	A Meta-Analysis of Remote Sensing Technologies and Methodologies for Crop Characterization Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (22), p.5633 [Peer Reviewed Journal] 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14225633 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	An Unsupervised Saliency-Guided Deep Convolutional Neural Network for Accurate Burn Mapping from Sentinel-1 SAR Data Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (5), p.1184 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15051184 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	A New Convolutional Kernel Classifier for Hyperspectral Image Classification IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.11240-11256 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2021.3123087 ;CODEN: IJSTHZ Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1882 [Peer Reviewed Journal] 2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12111882 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	An Automated Framework for Plant Detection Based on Deep Simulated Learning from Drone Imagery Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3521 [Peer Reviewed Journal] 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12213521 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Optimum Feature and Classifier Selection for Accurate Urban Land Use/Cover Mapping from Very High Resolution Satellite Imagery Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (9), p.2097 [Peer Reviewed Journal] 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14092097 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Oil spill detection from Synthetic Aperture Radar Earth observations: a meta-analysis and comprehensive review GIScience and remote sensing, 2021-10, Vol.58 (7), p.1022-1051 [Peer Reviewed Journal] ISSN: 1548-1603 ;EISSN: 1943-7226 ;DOI: 10.1080/15481603.2021.1952542 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 70 for All Library Resources

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2020.3026724 ;CODEN: IJSTHZ

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11010043

The Author(s) 2022 ;ISSN: 1612-510X ;EISSN: 1612-5118 ;DOI: 10.1007/s10346-021-01843-x

2022 ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2022.103095

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12111746

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2021.3065569 ;CODEN: IJSTHZ

EISSN: 1712-7971 ;DOI: 10.1080/07038992.2019.1711366

2024 The Author(s) ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2024.103860

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2021.3123087 ;CODEN: IJSTHZ

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12111882

ISSN: 1548-1603 ;EISSN: 1943-7226 ;DOI: 10.1080/15481603.2021.1952542

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