Python-based Convolutional Neural Network Analysis of Satellite Imageries to Develop a Landscape Ecology Triangle

This research aims to understand the applicability of Python-based Convolutional Neural Networks (CNNs) in combination with satellite imageries to classify the landscape types and create the Landscape Ecology Triangle for Bangladesh. Prevailing as a field that involves the manual interpretation and...

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Bibliografiska uppgifter

Huvudupphovsmän:	Tazrian, Abu Tanvir Mohammad, Meherin, Samira, Toma, Tania Islam, Mahmud, Khandakar Hasan
Materialtyp:	Online
Språk:	engelska
Publicerad:	Jahangirnagar University 2025
Ämnen:	Landscape Ecology Triangle Landscape Types Landscape Elements CNN Model Suitability of the Environment Deep Learning in Ecology
Länkar:	http://journals.juniv.edu/index.php/tjr/article/view/211
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