Improving deforestation detection on tropical rainforests using sentinel-1 data and convolutional neural networks

M Ortega Adarme, J Doblas Prieto, R Queiroz Feitosa… - Remote Sensing, 2022 - mdpi.com
Detecting early deforestation is a fundamental process in reducing forest degradation and
carbon emissions. With this procedure, it is possible to monitor and control illegal activities …

Monitoring illegal logging using google earth engine in Sulawesi Selatan Tropical Forest, Indonesia

A Mujetahid, M Nursaputra, AS Soma - Forests, 2023 - mdpi.com
Forest destruction has been found to be the cause of natural disasters in the form of floods,
landslides in the rainy season, droughts in the dry season, climate change, and global …

Arctic ice-wedge landscape mapping by CNN using a fusion of Radarsat constellation Mission and ArcticDEM

M Merchant, L Bourgeau-Chavez… - Remote Sensing of …, 2024 - Elsevier
Abstract In Canada's Arctic tundra region, permafrost is continuous, and the landscape is
rich in patterned features. Polygonal terrain, which includes both high-and low-centered …

[HTML][HTML] A Machine Learning and Deep Learning-Based Account Code Classification Model for Sustainable Accounting Practices

D Koç, F Koç - Sustainability, 2024 - mdpi.com
Accounting account codes are created within a specific logic framework to systematically
and accurately record a company's financial transactions. Currently, accounting reports are …

Logging Pattern Detection by Multispectral Remote Sensing Imagery in North Subtropical Plantation Forests

Y Hu, Z Wang, Y Zhang, Y Dian - Remote Sensing, 2022 - mdpi.com
Forest logging detection is important for sustainable forest management. The traditional
optical satellite images with visible and near-infrared bands showed the ability to identify …

Detection of Deforestation Using Prisma Hyperspectral and Deep Learning (1DCNN) in the Amazon Forest

R Gupta, K Ruokolainen… - IGARSS 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Accurate detection of deforestation and logging activities is useful to monitor large scale
damages in the Amazon forests. In this study, we focused on the use of deep learning based …

Selective Logging Detection Via Time-Series Satellite Images

X Huang, RV Maretto, LMG Fonseca… - IGARSS 2024-2024 …, 2024 - ieeexplore.ieee.org
Selective logging represents a primary driver of forest degradation, being early germs of the
deforestation process. It negatively impacts the remaining forests, leading to biodiversity …

Uma arquitetura de rede neural convolucional para detecção de alvos de desmatamento na Amazônia através de imagens SAR ICEYE

EM da Silva, R Santos - Anais do XIV Congresso Brasileiro de …, 2023 - sol.sbc.org.br
Nas últimas décadas surgiram soluções baseadas em satélites artificiais para observação
da superfície terrestre que auxiliam na detecção de áreas desmatadas por meio de …

[PDF][PDF] MACHINE LEARNING TECHNIQUES FOR SELECTIVE LOGGING DETECTION IN X-BAND SAR IMAGES-A COMPARATIVE EVALUATION

T Kuck, EH Shiguemori, BN de Carvalho Dantas… - 2023 - marte2.sid.inpe.br
Land use, land use changes and forest degradation have historically been the sectors that
most contribute to greenhouse gas emissions in Brazil, according to the System of Estimates …

Evaluation of Comfort Levels and Prospects for Sensor Application in Elevators: Insights from China's Experience

T Zhang, C Yu, T Zhang, W Wen, C Yang… - Proceedings of the 3rd …, 2024 - eudl.eu
As China's economy has flourished, there is an escalating pursuit for an enhanced quality of
life. This has led to heightened expectations for superior elevator experiences, especially in …