An overview Assessment of the Effectiveness of Satellite Images and Remote Sensing in Predicting Potential Fishing Grounds and its Applicability for Rastrelliger kanagurta in the Malaysian EEZ off the South China Sea
Author:
Affiliation:
1. Faculty of Fisheries and Food Science, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia
2. Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Publisher
Informa UK Limited
Subject
Management, Monitoring, Policy and Law,Aquatic Science,Ecology, Evolution, Behavior and Systematics
Link
https://www.tandfonline.com/doi/pdf/10.1080/23308249.2023.2183341
Reference177 articles.
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2. Abeare SM. 2009. Comparisons of boosted regression tree, GLM and GAM performance in the standardization of yellowfin tuna catch-rate data from the Gulf of Mexico longline fishery [dissertation]. Baton Rouge: Louisiana State University.
3. Climate–ocean variability and Pacific hake: A geostatistical modeling approach
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