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Subject : deep learning

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Academic Journal

A Spatio-Temporal Deep Learning Model for Automatic Arctic Sea Ice Classification with Sentinel-1 SAR Imagery

Authors : Li Zhao; Yufeng Zhou; Wei Zhong

Subjects: Arctic sea ice classification; deep learning; synthetic aperture radar (SAR)

Source: Remote Sensing, Vol 17, Iss 2, p 277 (2025)

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Academic Journal

Semantic-to-Instance Segmentation of Time-Invariant Offshore Wind Farms Using Sentinel-1 Time Series and Time-Shift Augmentation

Authors : Osmar Luiz Ferreira de Carvalho; Osmar Abílio de Carvalho Junior; Anesmar Olino de Albuquerque

Subjects: deep learning; computer vision; remote sensing

Source: Energies, Vol 18, Iss 5, p 1127 (2025)

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Academic Journal

Mapping Building Heights at Large Scales Using Sentinel-1 Radar Imagery and Nighttime Light Data

Authors : Mohammad Kakooei; Yasser Baleghi

Subjects: deep learning; radar multiple-backscattering correction; Sentinel-1 polarization

Source: Remote Sensing, Vol 16, Iss 18, p 3371 (2024)

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Academic Journal

Deep learning of Sentinel-1 SAR for burnt peatland detection in Ireland

Authors : Omid Memarian Sorkhabi

Subjects: Burnt peat detection; Sentinel-1; Deep learning

Source: Geosystems and Geoenvironment, Vol 3, Iss 4, Pp 100321- (2024)

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Academic Journal

Flooded area detection and mapping from Sentinel-1 imagery. Complementary approaches and comparative performance evaluation

Authors : Andrei Toma; Ionuț Șandric; Bogdan-Andrei Mihai

Subjects: Sentinel-1; SAR; flood mapping

Source: European Journal of Remote Sensing, Vol 57, Iss 1 (2024)

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Academic Journal

Forest Disturbance Detection via Self-supervised and Transfer Learning with Sentinel-1&2 Images

Authors : Kuzu, Ridvan Salih; Antropov, Oleg; Molinier, Matthieu

Subjects: Biological system modeling; boreal forest; change detection

Source: Kuzu , R S , Antropov , O , Molinier , M , Dumitru , C O , Saha , S & Zhu , X X 2024 , ' Forest Disturbance Detection via Self-supervised and Transfer Learning with

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Academic Journal

Forest Disturbance Detection via Self-supervised and Transfer Learning with Sentinel-1&2 Images

Authors : Kuzu, Ridvan Salih; Antropov, Oleg; Molinier, Matthieu

Subjects: Biological system modeling; boreal forest; change detection

Source: Kuzu , R S , Antropov , O , Molinier , M , Dumitru , C O , Saha , S & Zhu , X X 2024 , ' Forest Disturbance Detection via Self-supervised and Transfer Learning with

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Academic Journal

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach

Authors : Martin Schwartz; Philippe Ciais; Catherine Ottlé

Subjects: Forest height; GEDI; Sentinel-1

Source: International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103711- (2024)

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Academic Journal

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach

Authors : Schwartz, Martin; Ciais, Philippe; Ottlé, Catherine

Subjects: 3D Stereo; Deep Learning; Forest height

Source: Schwartz , M , Ciais , P , Ottlé , C , De Truchis , A , Vega , C , Fayad , I , Brandt , M , Fensholt , R , Baghdadi , N , Morneau , F , Morin , D , Guyon , D , Dayau , S & Wigneron , J P 2024 , '

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Academic Journal

Advanced characterization of deforestation frontiers in Nigeria utilizing deep learning and Bayesian approaches with sentinel-1 SAR imagery

Authors : Isiaka Lukman Alage; Yumin Tan; Ahmed Wasiu Akande

Subjects: Deforestation frontiers; SAR imagery; biodiversity

Source: Geocarto International, Vol 40, Iss 1 (2025)

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