AI applications in forest monitoring need remote sensing benchmark datasets

ER Lines, M Allen, C Cabo, K Calders… - … Conference on Big …, 2022 - ieeexplore.ieee.org
With the rise in high resolution remote sensing technologies there has been an explosion in
the amount of data available for forest monitoring, and an accompanying growth in artificial …

Exploiting hyperspectral and multispectral images in the detection of tree species: A review

SG Yel, E Tunc Gormus - Frontiers in Remote Sensing, 2023 - frontiersin.org
Classification of tree species provides important data in forest monitoring, sustainable forest
management and planning. The recent developments in Multi Spectral (MS) and Hyper …

OpenForest: A data catalogue for machine learning in forest monitoring

A Ouaknine, T Kattenborn, E Laliberté… - arXiv preprint arXiv …, 2023 - arxiv.org
Forests play a crucial role in Earth's system processes and provide a suite of social and
economic ecosystem services, but are significantly impacted by human activities, leading to …

Evaluating the effects of texture features on Pinus sylvestris classification using high-resolution aerial imagery

F Erdem, OC Bayrak - Ecological Informatics, 2023 - Elsevier
Pinus sylvestris, also known as Scots pine, is the most widespread type of pine tree found
around the world. Texture features can recognize patterns in an image's texture and so …

MARU-Net: Multiscale Attention Gated Residual U-Net With Contrastive Loss for SAR-Optical Image Matching

M Gazzea, O Sommervold… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Accurate synthetic aperture radar-optical matching is essential for combining the
complementary information from the two sensors. However, the main challenge is …

Traffic monitoring system design considering multi-hazard disaster risks

M Gazzea, A Miraki, O Alisan, MM Kuglitsch, I Pelivan… - Scientific reports, 2023 - nature.com
Roadways are critical infrastructure in our society, providing services for people through and
between cities. However, they are prone to closures and disruptions, especially after …

Design of an efficient satellite image analysis model for identification of sustainable construction areas via ground subsidence monitoring and infrastructure monitoring …

Chatrabhuj, K Meshram - Indian Geotechnical Journal, 2024 - Springer
To effectively address the pressing issues of urban development and environmental
conservation, sustainable construction areas must be identified. In this paper, a proposal for …

Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion

M Lindemann, K DeMichele… - 2023 International …, 2023 - ieeexplore.ieee.org
Accurate wildfire prediction in diverse and geographically dispersed areas is crucial for
effective wildfire management. However, the limited availability of labeled data in data …

Comprehensive study on the water body and environmental issues–A review

G Silpalatha, TS Jayadeva - AIP Conference Proceedings, 2024 - pubs.aip.org
Water bodies and forest areas are related to each other to avoid environmental issues. In the
world, many regions are suffering from deforestation and water issues. Nowadays it is …

[PDF][PDF] Automated Vegetation Monitoring using Satellite Images and Artificial Intelligence

M Gazzea, R Arghandeh - … on AI, Data and Digitalization (SAIDD …, 2023 - nla.brage.unit.no
Vegetation Management is a significant preventive maintenance expense in many power
transmission and distribution companies. Traditional Vegetation Management operational …