Optimization of power transmission line location at tropical forest area in avoiding endangered tree species-Reference-Cited by-同舟云学术

Optimization of power transmission line location at tropical forest area in avoiding endangered tree species

Published:2022-04-21 Issue:9 Volume:15 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Abd Latif Zulkiflee,Ruslan Sofiya Zulaikha,Mohd Zaki Nurul Ain,Suratman Mohd Nazip,Omar Hamdan,Razak Tajul Rosli,Mohd Fauzi Shukor Sanim,GM Gining Ray Adderley

Funder

Ministry of Higher Education, Malaysia

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-022-10007-7.pdf

Reference23 articles.

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2. *Al-Najjar HAH, Kalantar B, Pradhan B, Saeidi V, Halin AA, Ueda N, Mansor S (2019) Land cover classification from fused DSM and UAV images using convolutional neural networks. Remote Sens 11(12):1461. https://doi.org/10.3390/rs11121461

3. *Azeez OS, Pradhan B, Jena R (2021) Urban tree classification using discrete-return LiDAR and an object-level local binary pattern algorithm. Geocarto Int 36(16):1785–1803. https://doi.org/10.1080/10106049.2019.1678675

4. *Blackburn GA, Abd Latif Z, Boyd DS (2014) Forest disturbance and regeneration: a mosaic of discrete gap dynamics and open matrix regimes? J Veg Sci 25(6):1341–1354. https://doi.org/10.1111/jvs.12201

5. Calders K, Jonckheere I, Nightingale J, Vastaranta M (2020) Remote sensing technology applications in forestry and REDD+. Forests 11(2):10–13. https://doi.org/10.3390/f11020188

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