A5024364332- Geochemistry and Geologic Mapping
- Geological and Geochemical Analysis
- Geophysical and Geoelectrical Methods
- Soil Geostatistics and Mapping
- Radioactive element chemistry and processing
- Mineral Processing and Grinding
- Fuzzy Logic and Control Systems
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Hydrocarbon exploration and reservoir analysis
- Remote-Sensing Image Classification
- Underwater Acoustics Research
- Drilling and Well Engineering
- Maritime and Coastal Archaeology
- Atmospheric and Environmental Gas Dynamics
- Seismic Imaging and Inversion Techniques
- Geochemistry and Elemental Analysis
- Hydraulic Fracturing and Reservoir Analysis
- Underwater Vehicles and Communication Systems
- Neural Networks and Applications
- Point processes and geometric inequalities
- Atmospheric aerosols and clouds
- Mining Techniques and Economics
- Groundwater flow and contamination studies
- Environmental and Social Impact Assessments
Geological Survey of Finland
2019-2024
Indian Institute of Technology Bombay
2015-2019
Jet Propulsion Laboratory
2004-2006
The Earth Observing System Microwave Limb Sounder measures several atmospheric chemical species (OH, HO/sub 2/, H/sub 2/O, O/sub 3/, HCl, ClO, HOCl, BrO, HNO/sub N/sub CO, HCN, CH/sub 3/CN, volcanic SO/sub 2/), cloud ice, temperature, and geopotential height to improve our understanding of stratospheric ozone chemistry, the interaction composition climate, pollution in upper troposphere. All measurements are made simultaneously continuously, during both day night. instrument uses heterodyne...
Disruptions to the global supply chains of critical raw materials (CRM) have potential delay or increase cost renewable energy transition. However, for some CRM, primary drivers these chain disruptions are likely be issues related environmental, social, and governance (ESG) rather than geological scarcity. Herein we combine public geospatial data as mappable proxies key ESG indicators (e.g., conservation, biodiversity, freshwater, energy, waste, land use, human development, health safety,...
This study presents the results of bedrock-fracture traces mapped using a U-Net convolutional neural network (CNN). Aerial photographs, acquired by unmanned aerial vehicles (UAV) with spatial resolution 0.55 cm, were used for training CNN. The main objective was to train capable mapping fracture on Wiborg Rapakivi granite outcrops in islands off coast Loviisa Region Southern Finland. workflow involved optimization CNN parameters root mean squared propagation optimizer and sigmoidal focal...
This paper uses Monte Carlo simulations to estimate the parameters of rule-based fuzzy inference systems (FISs) designed for mineral prospectivity modeling. The targeted process case study is gold mineralization in Rajapalot project area northern Finland. Mamdani-type FISs are developed and implemented predictive modeling favorable structural settings chemical traps causing enrichment host rocks from ore-bearing hydrothermal fluids. fuzzification functions control output membership values....
Experimentations with applications of machine learning algorithms such as random forest (RF), support vector machines (SVM) and fuzzy inference system (FIS) to lithological classification multispectral datasets are described. The input dataset LANDSAT-8 Advanced Space-borne Thermal Emission Reflection Radiometer (ASTER) in conjunction Shuttle Radar Topography Mission (SRTM) digital elevation used. training data included image pixels known lithoclasses well the laboratory spectra field...
Thermal Infrared (TIR) remote sensing measures emitted radiation of Earth in the thermal region electromagnetic spectrum. This information can be useful studying sub-surface features such as buried palaeochannels, which are ancient river systems that have dried up over time and now under soil cover or overlying sediments present landscape. Therefore they little no expression on surface topography. Study these paleo channels has wide applications fields uranium exploration ground water...
This paper is part of a two-publication series reporting target-scale prospectivity modeling results for gold enrichment in the Rajapalot project area. The study area located Northern Fennoscandian Shield Finland and consists high-grade epigenetic-hydrothermal Au-Co prospects. first publication this described implementation knowledge-driven- hybrid- expert systems. In second we demonstrate application machine learning methods such as unsupervised self-organizing maps (SOM) K-means clustering...
The present study applies multivariate statistical analysis to till geochemical data map the signatures of (a) major lithostratigraphic units and (b) lithium-bearing spodumene pegmatites, differentiate them from other potentially lithium enriched rocks such as mica schists, gneisses granitoids in Kaustinen province Finland. Two unsupervised clustering algorithms are employed, namely principal component (PCA) factor (FA). results indicate that each unit is characterized by a distinct...
Lithium is a critical mineral resource for development of hi-tech green energy technologies. Finland one the few EU countries with high potential lithium resources. Presence significant ore reserves within rare-element granitic pegmatites classified as LCT (Li-Cs-Ta) in Kaustinen province Finland, makes it substantial region resources Europe. Hence present study presents geochemical characterization exploration targeting. Results multivariate statistical analysis applied to till data are...
Spectroscopic analysis is carried out for lithological discrimination in a study area the Pali and Ajmer districts of Rajasthan, western India using laboratory-based, field-based space-borne data. We first explored feasibility Landsat-8 (Operational Land Imager (OLI), Thermal Infrared Sensor (TIRS)) Advanced Space-borne Emission Reflection Radiometer (ASTER) imagery mapping. Laboratory spectra samples rocks exposed were collected FieldSpec3 spectroradiometer VNIR-SWIR region resampled to...