Ali Nadir Arslan
Ali Nadir Arslan
Finnish Meteotological Institute
Verified email at - Homepage
Cited by
Cited by
Passive microwave measurements of snow-covered forest areas in EMAC'95
N Kruopis, J Praks, AN Arslan, HM Alasalmi, JT Koskinen, MT Hallikainen
IEEE Transactions on Geoscience and Remote Sensing 37 (6), 2699-2705, 1999
Waveguide to stripline transition with via forming an impedance matching fence
O Salmela, M Koivisto, M Saarikoski, K Jokio, AN Arslan, E Kemppinen, ...
US Patent 6,958,662, 2005
Self-aligned transition between a transmission line and a module
K Jokio, O Salmela, M Koivisto, M Saarikoski, AN Arslan
US Patent 6,940,361, 2005
European in-situ snow measurements: practices and purposes
R Pirazzini, L Leppänen, G Picard, JI Lopez-Moreno, C Marty, ...
Sensors 18 (7), 2016, 2018
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 …
K Böttcher, M Aurela, M Kervinen, T Markkanen, OP Mattila, P Kolari, ...
Remote Sensing of Environment 140, 625-638, 2014
Review of snow data assimilation methods for hydrological, land surface, meteorological and climate models: Results from a cost harmosnow survey
J Helmert, A ªensoy ªorman, R Alvarado Montero, C De Michele, ...
Geosciences 8 (12), 489, 2018
Analysis of current validation practices in Europe for space-based climate data records of essential climate variables
Y Zeng, Z Su, JC Calvet, T Manninen, E Swinnen, J Schulz, R Roebeling, ...
International Journal of Applied Earth Observation and Geoinformation 42 …, 2015
Ecosystem services related to carbon cycling–modeling present and future impacts in boreal forests
M Holmberg, T Aalto, A Akujärvi, AN Arslan, I Bergström, K Böttcher, ...
Frontiers in plant science 10, 343, 2019
A novel data-driven method for structural health monitoring under ambient vibration and high-dimensional features by robust multidimensional scaling
A Entezami, H Sarmadi, M Salar, C De Michele, AN Arslan
Structural Health Monitoring 20 (5), 2758-2777, 2021
Effective permittivity of wet snow using strong fluctuation theory
AN Arslan, H Wang, J Pulliainen, M Hallikainen
Journal of Electromagnetic Waves and Applications 15 (1), 53-55, 2001
Automated webcam monitoring of fractional snow cover in northern boreal conditions
AN Arslan, CM Tanis, S Metsämäki, M Aurela, K Böttcher, M Linkosalmi, ...
Geosciences 7 (3), 55, 2017
Refining the role of phenology in regulating gross ecosystem productivity across European peatlands
F Koebsch, O Sonnentag, J Järveoja, M Peltoniemi, P Alekseychik, ...
Global change biology 26 (2), 876-887, 2020
Effects of meteorological and ancillary data, temporal averaging, and evaluation methods on model performance and uncertainty in a land surface model
CB Ménard, J Ikonen, K Rautiainen, M Aurela, AN Arslan, J Pulliainen
Journal of Hydrometeorology 16 (6), 2559-2576, 2015
Digital photography for assessing the link between vegetation phenology and CO2 exchange in two contrasting northern ecosystems
M Linkosalmi, M Aurela, JP Tuovinen, M Peltoniemi, CM Tanis, AN Arslan, ...
Geosci. Instrum. Method. Data Syst. 5 (2), 417-426, 2016
Intercomparison of measurements of bulk snow density and water equivalent of snow cover with snow core samplers: Instrumental bias and variability induced by observers
JI López‐Moreno, L Leppänen, B Luks, L Holko, G Picard, ...
Hydrological Processes 34 (14), 3120-3133, 2020
Cross-country assessment of H-SAF snow products by Sentinel-2 imagery validated against in-situ observations and webcam photography
G Piazzi, CM Tanis, S Kuter, B Simsek, S Puca, A Toniazzo, M Takala, ...
Geosciences 9 (3), 129, 2019
Networked web-cameras monitor congruent seasonal development of birches with phenological field observations
M Peltoniemi, M Aurela, K Böttcher, P Kolari, J Loehr, T Hokkanen, ...
Agricultural and forest meteorology 249, 335-347, 2018
Electromagnetic band gap structures and method for making same
AN Arslan, MVS Hurskainen
US Patent 8,159,832, 2012
Investigating of snow wetness parameter using a two-phase backscattering model
AN Arslan, MT Hallikainen, JT Pulliainen
IEEE transactions on geoscience and remote sensing 43 (8), 1827-1833, 2005
A system for acquisition, processing and visualization of image time series from multiple camera networks
CM Tanis, M Peltoniemi, M Linkosalmi, M Aurela, K Böttcher, T Manninen, ...
Data 3 (3), 23, 2018
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