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Article

12 Citations

4,958 Views

18 Pages

Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk

Sébastien Gadal and
Walid Ouerghemmi

ISPRS Int. J. Geo-Inf.2019, 8(3), 129;https://doi.org/10.3390/ijgi8030129

4 March 2019

Recognition and characterization of built-up areas in the Siberian sub-Arctic urban territories of Yakutsk are dependent on two main factors: (1) the season (snow and ice from October to the end of April, the flooding period in May, and the summertim...

(This article belongs to the Special Issue GEOBIA in a Changing World)

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Article

14 Citations

3,831 Views

14 Pages

Integration of Morphometrics and Machine Learning Enables Accurate Distinction between Wild and Farmed Common Carp

Omid Jafari,
Mansour Ebrahimi,
Seyed Ali-Akbar Hedayati,
Mehrshad Zeinalabedini and ,
Hadi Poorbagher,
Maryam Nasrolahpourmoghadam and
Jorge M. O. Fernandes
+ 2 authors+ 0 author

Life2022, 12(7), 957;https://doi.org/10.3390/life12070957

25 June 2022

Morphology and feature selection are key approaches to address several issues in fisheries science and stock management, such as the hypothesis of admixture of Caspian common carp (Cyprinus carpio) and farmed carp stocks in Iran. The present study wa...

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