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Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery

• Authors : Guirado, Emilio; Tabik, Siham; Alcaraz-Segura, Domingo

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study.

• Authors : Guirado, Emilio¹ ; Tabik, Siham² ; Alcaraz-Segura, Domingo^1,3,4

• Source: Remote Sensing. Dec2017, Vol. 9 Issue 12, p1220. 22p.

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Deep learning versus OBIA for scattered shrub detection with Google Earth imagery: ziziphus lotus as case study

• Authors : Guirado, E.; Tabik, S.; Alacaraz-Segura, J.

Subjects: Ziziphus lotus; plant species detection; land cover mapping

• Source: In: Remote Sensing, vol. 9 (12) article n. 1220. MDPI, 2019.

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Shrub detection using disparate airborne laser scanning acquisitions over varied forest cover types

• Authors : Gopalakrishnan, Ranjith; Thomas, Valerie A.; Wynne, Randolph H.

• Source: International Journal of Remote Sensing ; volume 39, issue 4, page 1220-1242 ; ISSN 0143-1161 1366-5901

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Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery

• Authors : Domingo Alcaraz-Segura; Emilio Guirado; Francisco Herrera

Subjects: FOS: Computer and information sciences; Computer Vision and Pattern Recognition (cs.CV); Computer Science - Computer Vision and Pattern Recognition

• Source: Web of Science

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Development of Semantic Maps of Vegetation Cover from UAV Images to Support Planning and Management in Fine-Grained Fire-Prone Landscapes

• Authors : Bianka Trenčanová; Vânia Proença; Alexandre Bernardino

Subjects: U-Net; convolutional neural network (CNN); shrub detectionagris

• Source: Remote Sensing; Volume 14; Issue 5; Pages: 1262

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THE SIGNIFICANCE OF USING RAW DATA: A CASE STUDY WITH CANOPY HEIGHT MODELS OF SHRUBS.

• Authors : Lagner, Ondřej¹; Klouček, Tomáš¹; Fogl, Michal¹

• Source: Proceedings of the International Multidisciplinary Scientific GeoConference SGEM. 2019, Vol. 19 Issue 1, p1089-1098. 10p.

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Analysis of Using Dense Image Matching Techniques to Study the Process of Secondary Succession in Non-Forest Natura 2000 Habitats.

• Authors : Osińska-Skotak, Katarzyna¹ l.com; Jełowicki, Łukasz¹ ; Bakuła, Krzysztof¹

• Source: Remote Sensing. Apr2019, Vol. 11 Issue 8, p893-893. 1p.

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Earth observation for Shrub Encroachment 

• Authors : Soubry, Irini; Guo, Xulin

• Source: eISSN

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A comprehensive multi-state conditional occupancy model for evaluating interactions of non-native and native species

• Authors : Patti J. Wohner; Paul D. Scheerer; Michael H. Meeuwig

Subjects: covariates; non-native species; smallmouth bass

• Source: Frontiers in Ecology and Evolution, Vol 10 (2023)

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