Ali Nadir Arslan
Researcher Next ID · RN-039376
Researcher · Earth and Planetary Sciences
Finnish Meteorological Institute
Helsinki, Finland
- Works count
- 364
- Citation count
- 1,470
- H-index
- 24
- i10-index
- 36
Research interests
Publications
Investigation of Temperature Effects into Long-Span Bridges via Hybrid Sensing and Supervised Regression Models
Remote Sensing · 2023 · 10.3390/rs15143503
Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by Machine Learning Techniques
Remote Sensing · 2023 · 10.3390/rs15123095
Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO 2 flux and remote sensing data
Biogeosciences · 2022 · 10.5194/bg-19-4747-2022
Online Hybrid Learning Methods for Real-Time Structural Health Monitoring Using Remote Sensing and Small Displacement Data
Remote Sensing · 2022 · 10.3390/rs14143357
A novel data-driven method for structural health monitoring under ambient vibration and high-dimensional features by robust multidimensional scaling
Structural Health Monitoring · 2021 · 10.1177/1475921720973953
Snow depth time series retrieval by time-lapse photography: Finnish and Italian case studies
The cryosphere · 2021 · 10.5194/tc-15-369-2021
Intercomparison of measurements of bulk snow density and water equivalent of snow cover with snow core samplers: Instrumental bias and variability induced by observers
Hydrological Processes · 2020 · 10.1002/hyp.13785
Ecosystem Services Related to Carbon Cycling – Modeling Present and Future Impacts in Boreal Forests
Frontiers in Plant Science · 2019 · 10.3389/fpls.2019.00343
Cross-Country Assessment of H-SAF Snow Products by Sentinel-2 Imagery Validated against In-Situ Observations and Webcam Photography
Geosciences · 2019 · 10.3390/geosciences9030129
Refining the role of phenology in regulating gross ecosystem productivity across European peatlands
Global Change Biology · 2019 · 10.1111/gcb.14905
European In-Situ Snow Measurements: Practices and Purposes
Sensors · 2018 · 10.3390/s18072016
Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey
Geosciences · 2018 · 10.3390/geosciences8120489
A System for Acquisition, Processing and Visualization of Image Time Series from Multiple Camera Networks
Data · 2018 · 10.3390/data3030023
Automated Webcam Monitoring of Fractional Snow Cover in Northern Boreal Conditions
Geosciences · 2017 · 10.3390/geosciences7030055
Networked web-cameras monitor congruent seasonal development of birches with phenological field observations
Agricultural and Forest Meteorology · 2017 · 10.1016/j.agrformet.2017.10.008
Evaluating Biosphere Model Estimates of the Start of the Vegetation Active Season in Boreal Forests by Satellite Observations
Remote Sensing · 2016 · 10.3390/rs8070580
Digital photography for assessing the link between vegetation phenology and CO 2 exchange in two contrasting northern ecosystems
Geoscientific instrumentation, methods and data systems · 2016 · 10.5194/gi-5-417-2016
New Snow Water Equivalent Processing System With Improved Resolution Over Europe and its Applications in Hydrology
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2016 · 10.1109/jstars.2016.2586179
Effects of Meteorological and Ancillary Data, Temporal Averaging, and Evaluation Methods on Model Performance and Uncertainty in a Land Surface Model
Journal of Hydrometeorology · 2015 · 10.1175/jhm-d-15-0013.1
Analysis of current validation practices in Europe for space-based climate data records of essential climate variables
International Journal of Applied Earth Observation and Geoinformation · 2015 · 10.1016/j.jag.2015.06.006
MODIS time-series-derived indicators for the beginning of the growing season in boreal coniferous forest — A comparison with CO2 flux measurements and phenological observations in Finland
Remote Sensing of Environment · 2013 · 10.1016/j.rse.2013.09.022
OBSERVATIONS OF L-AND C-BAND BACKSCATTER AND A SEMI-EMPIRICAL BACKSCATTERING MODEL APPROACH FROM A FOREST-SNOW-GROUND SYSTEM
Electromagnetic waves · 2006 · 10.2528/pier05062701
Investigating of snow wetness parameter using a two-phase backscattering model
IEEE Transactions on Geoscience and Remote Sensing · 2005 · 10.1109/tgrs.2005.849062
Effective Permittivity of Wet Snow Using Strong Fluctuation Theory
Electromagnetic waves · 2001 · 10.2528/pier00071709
Passive microwave measurements of snow-covered forest areas in EMAC'95
IEEE Transactions on Geoscience and Remote Sensing · 1999 · 10.1109/36.803417
Current projects
No projects listed.