output
20142025
most citedTowards autonomous photogrammetric forest inventory using a lightweight under-canopy robotic drone

9 citations

5 papers

physics.geo-ph2025

Three-dimensional inversion of gravity data using implicit neural representations and scientific machine learning

Pankaj K Mishra, Sanni Laaksonen, Jochen Kamm +1

Inversion of gravity data is an important method for investigating subsurface density variations relevant to mineral exploration, geothermal assessment, carbon storage, natural hyd…

cs.RO2025★ 9 cited

Towards autonomous photogrammetric forest inventory using a lightweight under-canopy robotic drone

Väinö Karjalainen, Niko Koivumäki, Teemu Hakala +5

Drones are increasingly used in forestry to capture high-resolution remote sensing data, supporting enhanced monitoring, assessment, and decision-making processes. While operations…

physics.comp-ph2023★ 2 cited

Monitoring of water volume in a porous reservoir using seismic data: Validation of a numerical model with a field experiment

Mahnaz Khalili, Bojan Brodic, Peter Göransson +6

As global groundwater levels continue to decline rapidly, there is a growing need for advanced techniques to monitor and manage aquifers effectively. This study focuses on validati…

physics.comp-ph2022★ 3 cited

Monitoring of water volume in a porous reservoir using seismic data: A 3D simulation study

Mahnaz Khalili, Peter Göransson, Jan S. Hesthaven +3

A potential framework to estimate the volume of water stored in a porous storage reservoir from seismic data is neural networks. In this study, the man-made groundwater reservoir i…

astro-ph.HE2014★ 8 cited

Simultaneous optical and near-IR photometry of 4U 1957+115 - a missing secondary star

Pasi Hakala, Panu Muhli, Phil Charles

We report the results of quasi-simultaneous optical and NIR photometry of the low-mass X-ray binary, 4U 1957+115. Our observations cover B, V, R, I, J, H and K-bands and additional…