Hierarchical Bayesian geostatistics for C stock prediction in disturbed plantation forest in Zimbabwe

TS Chinembiri, O Mutanga, T Dube - Ecological Informatics, 2023 - Elsevier
We develop and present a novel Bayesian hierarchical geostatistical model for the
prediction of plantation forest carbon stock (C stock) in the eastern highlands of Zimbabwe …

Characterising landslide susceptibility of an environmentally fragile region of the Western Ghats in Idukki district, Kerala, India, through statistical modelling and …

GS Pradeep, MV Ninu Krishnan, H Vijith - Natural Hazards, 2023 - Springer
Landslide susceptibility of mountainous villages (locally known as Panchayats) in the
Western Ghats of Kerala was critically analysed in the present research by considering …

A multi-source data approach to carbon stock prediction using Bayesian hierarchical geostatistical models in plantation forest ecosystems

TS Chinembiri, O Mutanga, T Dube - GIScience & Remote Sensing, 2024 - Taylor & Francis
Modeling of environmental phenomena is usually confounded by the influence of multiple
factors existing at different time and spatial scales. Bayesian modeling is presumed to be the …

[HTML][HTML] Fusion of satellite and street view data for urban traffic accident hotspot identification

W Guo, C Xu, S Jin - International Journal of Applied Earth Observation and …, 2024 - Elsevier
As the number of vehicles and the volume of traffic swell in urban centers, cities have
experienced a concomitant increase in traffic accidents. Proactively identifying accident …

[HTML][HTML] Ungulates conservation in the face of human development: Mining and roads' influences on habitat and connectivity in Iran's central plateau

A Mohammadi, K Almasieh, S Vaissi - Ecological Informatics, 2024 - Elsevier
Anthropogenic activities such as mining and road construction pose significant threats to
ungulate species in the central Iranian plateau. We conducted a comprehensive study …

Risk mapping of wildlife–vehicle collisions across the state of Montana, USA: a machine-learning approach for imbalanced data along rural roads

M Bell, Y Wang, R Ament - Transportation Safety and …, 2024 - academic.oup.com
Wildlife–vehicle collisions (WVCs) with large animals are estimated to cost the USA over 8
billion USD in property damage, tens of thousands of human injuries and nearly 200 human …

Bornean Orangutan Nests Classification using Multiclass SVM

AA Amran, CK On, LP Hung, M Rossdy… - … IEEE Symposium on …, 2023 - ieeexplore.ieee.org
Bornean orangutans are critically endangered, and experts are working to manually spot
and classify their nests. This is a challenging task, as it requires a deep understanding of …

[PDF][PDF] Less is More-Adapting the YOLOv8 Network for Multi-Spectral Human Presence Detection

F Balla - 2024 - oda.oslomet.no
Institutions involved with Search And Rescue (SAR) operations have found innovative ways
of enhancing the efficiency of their efforts by utilizing drones equipped with thermal cameras …

GIS and Artificial Intelligence Application in Smart Forest Ecosystem Sustainability Evaluation of Olokemeji Forest Reserve, Ogun State, Nigeria

VA Ijaware - American Journal of Geospatial Technology, 2024 - journals.e-palli.com
The increase in human population over the years has accelerated growth in anthropogenic
activities, which have led to the conversion of forest reserves to other land uses. In the …

[HTML][HTML] Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function

HI Coitiño, M Achkar, JC Guerrero - Diversity, 2021 - mdpi.com
Roads are one of the main causes of loss of biodiversity, with roadkill one of the main
causes of mortality. The aim of this research was to identify sites with a high probability of …