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Ilja Vuorinne
Ilja Vuorinne
Doctoral Researcher, University of Helsinki, Department of Geosciences and Geography, Institute for Atmoshpheric and Earth System Research
Verified email at helsinki.fi - Homepage
Title
Cited by
Cited by
Year
Assessing Leaf Biomass of Agave sisalana Using Sentinel-2 Vegetation Indices
I Vuorinne, J Heiskanen, PKE Pellikka
Remote Sensing 13 (2), 233, 2021
142021
Land cover map for multifunctional landscapes of Taita Taveta County, Kenya, based on Sentinel-1 radar, Sentinel-2 optical, and topoclimatic data
TA Abera, I Vuorinne, M Munyao, PKE Pellikka, J Heiskanen
Data 7 (3), 36, 2022
132022
Soil greenhouse gas emissions from a sisal chronosequence in Kenya
S Wachiye, L Merbold, T Vesala, J Rinne, S Leitner, M Räsänen, ...
Agricultural and Forest Meteorology 307, 108465, 2021
72021
Allometric models for estimating leaf biomass of sisal in a semi-arid environment in Kenya
I Vuorinne, J Heiskanen, M Maghenda, L Mwangala, P Muukkonen, ...
Biomass and Bioenergy 155, 106294, 2021
32021
Tropical altitudinal gradient soil organic carbon and nitrogen estimation using Specim IQ portable imaging spectrometer
P Pellikka, M Luotamo, N Sädekoski, J Hietanen, I Vuorinne, M Räsänen, ...
Science of the Total Environment 883, 163677, 2023
22023
Open source modelling of rock aggregate resources in the Pirkanmaa Region
C Brendell, I Vuorinne, S Mäkelä, P Muukkonen
Kujala, S. & Muukkonen, P, 4-17, 2019
12019
Livestock detection in African rangelands: Potential of high-resolution remote sensing data
IA Ocholla, P Pellikka, FN Karanja, I Vuorinne, V Odipo, J Heiskanen
Remote Sensing Applications: Society and Environment, 101139, 2024
2024
Modelling dry season grass biomass in savanna rangelands in Kenya using imaging spectroscopy
L Pesonen, I Vuorinne, J Heiskanen, P Pellikka
Helsingin yliopisto, 2024
2024
Developing livestock detection model for very high-resolution satellite imagery using aerial imagery and deep learning in Kenya
IA Ocholla, P Pellikka, F Karanja, M Boitt, TLA Väisänen, I Vuorinne, ...
2023
Assessment of airborne remote sensing data for high-resolution mapping of invasive Prosopis spp. in a semi-arid environment in Kenya
I Vuorinne, J Heiskanen, I Ocholla, R Kihungu, P Pellikka
EGU General Assembly Conference Abstracts, EGU-12336, 2023
2023
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