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European Spatial Data for Coastal and Marine Remote Sensing: Proceedings of International Conference EUCOMARE 2022-Saint Malo, France

Niculescu, Simona

1, 2022

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Mapping and Monitoring of Land Cover/Land Use (LCLU) Changes in the Crozon Peninsula (Brittany, France) from 2007 to 2018 by Machine Learning Algorithms (Support Vector Machine, Random Forest, and Convolutional Neural Network) and by Post-classification Comparison (PCC)

Remote sensing (Basel, Switzerland), 2021-10, Vol.13 (19), p.3899

2021

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Mapping Crop Types Using Sentinel-2 Data Machine Learning and Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in Pays de Brest, Brittany, France

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (18), p.4437

2022

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Application of convolutional neural networks with object-based image analysis for land cover and land use mapping in coastal areas: A case study in Ain Témouchent, Algeria

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.1-16

2022

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Editorial for Special Issue “Remote Sensing for Coastal and Aquatic Ecosystems’ Monitoring and Biodiversity Management”

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (3), p.766

2023

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Monitoring and Mapping Floods and Floodable Areas in the Mekong Delta (Vietnam) Using Time-Series Sentinel-1 Images, Convolutional Neural Network, Multi-Layer Perceptron, and Random Forest

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (8), p.2001

2023

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Turbidity retrieval and monitoring of Danube Delta waters using multi-sensor optical remote sensing data: An integrated view from the delta plain lakes to the western–northwestern Black Sea coastal zone

Remote sensing of environment, 2013-05, Vol.132, p.86-101

2013

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Identification and mapping of Algerian island vegetation using high-resolution images (Pléiades and SPOT 6/7) and random forest modeling

Environmental monitoring and assessment, 2021-09, Vol.193 (9), p.617-617, Article 617

2021

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Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2188

2020

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Editorial for Special Issue: “New Insights into Ecosystem Monitoring Using Geospatial Techniques”

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (10), p.2346

2022

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Correction: Niculescu, S., et al. Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta. Remote Sensing 2020, 12(14), 2188

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (16), p.2529

2020

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Remote Sensing for Coastal and Aquatic Ecosystems’ Monitoring and Biodiversity Management

2023

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Area Sampling and Information Systems Applied to Land-Cover and Land-User. Case Study : Post-Communist Romania

Revue française de photogrammétrie et de télédétection, 2014-02 (205), p.37-47

2014

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FROM SOBER TO FLORAL: AN OVERVIEW ON THE DEVELOPMENT OF MATERIAL CULTURE AMONG THE GAGAUZIANS OF BUDJAK

Revista română de studii eurasiatice, 2020, Vol.16 (1-2), p.49-74

2020

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Quel développement durable pour le delta du Danube? Enquête à Pardina

VertigO : la revue électronique en sciences de l'environnement, 2015-05 (Volume 15 Numéro 1)

2015

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Spatio-temporal analysis of shoreline changes and erosion risk assessment along Jerba island (Tunisia) based on remote-sensing data and geospatial tools

Regional studies in marine science, 2022-09, Vol.55, p.102564, Article 102564

2022

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Management Conflicts in Technology-Based Family Businesses

FAIMA Business & Management Journal, 2020-12, Vol.8 (4), p.33-43

2020

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Deep and machine learning methods for the (semi-)automatic extraction of sandy shoreline and erosion risk assessment basing on remote sensing data (case of Jerba island -Tunisia)

Remote sensing applications, 2023-11, Vol.32, p.101084, Article 101084

2023

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Current Possibilities of Treatment in Pelvic-Perineal Floor Dysfunctions

Jurnalul de chirurgie, 2015, Vol.10 (4)

Niculescu, Simona

2015

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ROCKY SHORELINE EXTRACTION USING A DEEP LEARNING MODEL AND OBJECT-BASED IMAGE ANALYSIS

International archives of the photogrammetry, remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B3-2021, p.23-29

2021

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ASSESSMENT OF COMBINING CONVOLUTIONAL NEURAL NETWORKS AND OBJECT BASED IMAGE ANALYSIS TO LAND COVER CLASSIFICATION USING SENTINEL 2 SATELLITE IMAGERY (TENES REGION, ALGERIA)

International archives of the photogrammetry, remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B3-2021, p.383-389

2021

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APPLICATION OF DEEP LEARNING OF MULTI-TEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL VEGETATION ZONE OF THE DANUBE DELTA

International archives of the photogrammetry, remote sensing and spatial information sciences., 2018-04, Vol.XLII-3, p.1311-1318

2018

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Synergy Between LiDAR, RADARSAT-2, and Spot-5 Images for the Detection and Mapping of Wetland Vegetation in the Danube Delta

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-08, Vol.9 (8), p.3651-3666

2016

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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING SYNERGY BETWEEN LiDAR, RADARSAT-2 AND SPOT-5 IMAGES FOR THE DETECTION AND MAPPING OF WETLAND VEGETATION IN THE DANUBE DELTA

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-08, Vol.9 (Issue: 8), p.3651-3666

2016

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Change detection in floodable areas of the Danube delta using radar images

Natural hazards (Dordrecht), 2015-09, Vol.78 (3), p.1899-1916

2015

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European Spatial Data for Coastal and Marine Remote Sensing: Proceedings of International Conference EUCOMARE 2022-Saint Malo, France

Mapping and Monitoring of Land Cover/Land Use (LCLU) Changes in the Crozon Peninsula (Brittany, France) from 2007 to 2018 by Machine Learning Algorithms (Support Vector Machine, Random Forest, and Convolutional Neural Network) and by Post-classification Comparison (PCC)

Mapping Crop Types Using Sentinel-2 Data Machine Learning and Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in Pays de Brest, Brittany, France

Application of convolutional neural networks with object-based image analysis for land cover and land use mapping in coastal areas: A case study in Ain Témouchent, Algeria

Editorial for Special Issue “Remote Sensing for Coastal and Aquatic Ecosystems’ Monitoring and Biodiversity Management”

Monitoring and Mapping Floods and Floodable Areas in the Mekong Delta (Vietnam) Using Time-Series Sentinel-1 Images, Convolutional Neural Network, Multi-Layer Perceptron, and Random Forest

Turbidity retrieval and monitoring of Danube Delta waters using multi-sensor optical remote sensing data: An integrated view from the delta plain lakes to the western–northwestern Black Sea coastal zone

Identification and mapping of Algerian island vegetation using high-resolution images (Pléiades and SPOT 6/7) and random forest modeling

Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta

Editorial for Special Issue: “New Insights into Ecosystem Monitoring Using Geospatial Techniques”

Correction: Niculescu, S., et al. Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta. Remote Sensing 2020, 12(14), 2188

Remote Sensing for Coastal and Aquatic Ecosystems’ Monitoring and Biodiversity Management

Area Sampling and Information Systems Applied to Land-Cover and Land-User. Case Study : Post-Communist Romania

FROM SOBER TO FLORAL: AN OVERVIEW ON THE DEVELOPMENT OF MATERIAL CULTURE AMONG THE GAGAUZIANS OF BUDJAK

Quel développement durable pour le delta du Danube? Enquête à Pardina

Spatio-temporal analysis of shoreline changes and erosion risk assessment along Jerba island (Tunisia) based on remote-sensing data and geospatial tools

Management Conflicts in Technology-Based Family Businesses

Deep and machine learning methods for the (semi-)automatic extraction of sandy shoreline and erosion risk assessment basing on remote sensing data (case of Jerba island -Tunisia)

Current Possibilities of Treatment in Pelvic-Perineal Floor Dysfunctions

ROCKY SHORELINE EXTRACTION USING A DEEP LEARNING MODEL AND OBJECT-BASED IMAGE ANALYSIS

ASSESSMENT OF COMBINING CONVOLUTIONAL NEURAL NETWORKS AND OBJECT BASED IMAGE ANALYSIS TO LAND COVER CLASSIFICATION USING SENTINEL 2 SATELLITE IMAGERY (TENES REGION, ALGERIA)

APPLICATION OF DEEP LEARNING OF MULTI-TEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL VEGETATION ZONE OF THE DANUBE DELTA

Synergy Between LiDAR, RADARSAT-2, and Spot-5 Images for the Detection and Mapping of Wetland Vegetation in the Danube Delta

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING SYNERGY BETWEEN LiDAR, RADARSAT-2 AND SPOT-5 IMAGES FOR THE DETECTION AND MAPPING OF WETLAND VEGETATION IN THE DANUBE DELTA

Change detection in floodable areas of the Danube delta using radar images

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