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Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia [article]

Bella Septina Ika Hartanti, Valentino Vito, Aniati Murni Arymurthy, Andie Setiyoko
2022 arXiv   pre-print
In this work, we propose a contrastive learning architecture, called Multimodal SuperCon, for classifying drivers of deforestation in Indonesia using satellite images obtained from Landsat 8.  ...  Deforestation is one of the contributing factors to climate change.  ...  We thank the support of Tokopedia-UI AI Center of Excellence, Faculty of Computer Science, University of Indonesia, for providing access to the NVIDIA DGX-A100 to run the experiments.  ... 
arXiv:2207.14656v1 fatcat:gxdw22y7evc4zkwlxnovpkmnaa

A Review and Categorization of Artificial Intelligence-Based Opportunities in Wildlife, Ocean and Land Conservation

Diane A. Isabelle, Mika Westerlund
2022 Sustainability  
With a focus on Sustainable Development Goals 14 (Life below Water) and 15 (Life on Land), this paper explores the opportunities of Artificial Intelligence applications in various domains of wildlife,  ...  For this purpose, we develop a conceptual framework on the basis of a comprehensive review of the literature and examples of Artificial Intelligence-based approaches to protect endangered species, monitor  ...  Example 12: ForestNet is a deep learning model developed to automatically identify and classify the drivers of primary forest loss in Indonesia, using satellite imagery [62] .  ... 
doi:10.3390/su14041979 fatcat:bsng537lsjeuxlcpmv5lndtj2m

A Vision Transformer Model for Convolution-Free Multilabel Classification of Satellite Imagery in Deforestation Monitoring

Maria Kaselimi, Athanasios Voulodimos, Ioannis Daskalopoulos, Nikolaos Doulamis, Anastasios Doulamis
2022
In this article, we approach deforestation as a multilabel classification (MLC) problem in an endeavor to capture the various relevant land uses from satellite images.  ...  learning models utilized for deforestation detection.  ...  [17] develop a DL model called ForestNet to classify the drivers of primary forest loss in Indonesia, using Landsat 8 satellite images.  ... 
doi:10.1109/tnnls.2022.3144791 pmid:35108212 fatcat:x6vbssi7zzedfbme5j5kpe5i64

Deforestation monitoring for climate change analysis using deep learning techniques on satellite imagery [article]

Ιωάννης Δασκαλόπουλος, University Of West Attica, Αθανάσιος Βουλόδημος
2021
In this thesis, we first tackle the task of creating a pipeline for preprocessing said satellite imagery.  ...  Next, we will perform multi-label classification in an attempt to describe the content of the images in terms of the factors that contribute to the deforestation, using a set of tags.  ...  Acknowledgements I would like to express my gratitude to my supervisor Athanasios Voulodimos for providing me with a great deal of support and assistance throughout the learning process of this thesis.  ... 
doi:10.26265/polynoe-244 fatcat:lgnfdardbfg7pkkzbv2xminuqq