Jenni Attila

Käynnissä olevat hankkeet

• HEU Oasis (oasis-he.eu)
• HEU Observation of Ecosystem Changes for Action OBSGESSION (obsgession.eu)
• ESA Aquatime (esa.int)
• HEU LandSeaLot, Reducing observation gaps in the land-sea interface area (landsealot.eu)
• Syken tiedonhallinnan modernisointi (SYTYKE)
• Monarch
• National collaboration programme-hankkeet Copernicus Meripalvelujen ja Ilmanlaatupalvelujen kanssa
• BlueZan

Julkaisut

Attila, J., Varkitzi, I., Alikas, K., Poikane, S., Free, G. et al., Use of Earth observation tools in support of the WFD - State of play for ecological status monitoring and assessment in surface waters of Europe, Publications Office of the European Union, Luxembourg, 2025, https://data.europa.eu/doi/10.2760/3790150, JRC142686.

Mäyrä J., Virtanen E.A., Jokinen A.-P., Koskikala J., Väkevä S., Attila J. (2025). Mapping recreational marine traffic from Sentinel-2 imagery using YOLO object detection models, Remote Sensing of Environment, Volume 326. https://doi.org/10.1016/j.rse. 2025.114791

Vilas L.G., Brando V.E., Cicco A.D., Colella S., D'alimonte D., Kajiyama T., Attila J. and Schroeder T. (2024). Assessment of ocean color atmospheric correction methods and development of a regional ocean color operational dataset for the Baltic Sea based on Sentinel-3 OLCI Journal: Frontiers in Marine Science, section Ocean Observation, in press.

Brando, V.E., Sammartino, M., Colella, S., Bracaglia, M., Di Cicco, A., D’Alimonte, D., Kajiyama, T., Kaitala, S., Attila, J. (2021). Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals. Remote Sens., 13, 3071. https://doi.org/10.3390/rs13163071

Neumann, T., Koponen, S., Attila, J., Brockmann, C., Kallio, K., Kervinen, M., Mazeran, C., Müller, D., Philipson, P., Thulin, S., Väkevä, S., and Ylöstalo, P. (2021). Optical model for the Baltic Sea with an explicit CDOM state variable: a case study with Model ERGOM (version 1.2), Geosci. Model Dev., 14, 5049–5062, https://doi.org/10.5194/gmd-14-5049-2021

Suominen,T., Westerholm, J., Kalliola, R., Attila, J. (2021). Partition of Marine Environment Dynamics According to Remote Sensing Reflectance and Relations of Dynamics to Physical Factors. Remote Sensing. 13(11):2104. https://doi.org/10.3390/rs13112104

Mack L., Attila J., Aylagas E., Beermann A., Borja A., Hering D., Kahlert M., Leese F., Lenz R., Lehtiniemi M., Liess A., Lips U., Mattila O P., Meissner K., Pyhälahti T., Setälä O., Strehse J S., Uusitalo L., Willstrand Wranne A .and Birk S. (2020). A Synthesis of Marine Monitoring Methods With the Potential to Enhance the Status Assessment of the Baltic Sea. Front. Mar. Sci. 7:552047. https://doi.org/10.3389/fmars.2020.552047

Attila, J., Kauppila, P., Alasalmi, H., Kallio, K. K., Keto, V., Bruun, E. (2018). Applicability of Earth Observation chlorophyll a data in assessment of water status via MERIS with implications for the use of OLCI sensors. Remote Sensing of Environment, 212, 273 287. https://doi.org/10.1016/j.rse.2018.02.043

Anttila, S., Fleming Lehtinen, V., Attila, J., Junttila S., Alasalmi, H., Hällfors, H., Kervinen, M., Koponen, S., (2018). A novel cyanobacterial surface accumulation indicator for the Balti c Sea. A novel earth observation based ecological indicator for cyanobacterial blooms. International Journal of Applied Earth Observation and Geoinformation 64:145 155. https://doi.org/10.1016/j.jag.2017.09.007

Ligi, M., Kutser T., Kallio K., Attila J., Koponen S., Paavel B., Soomets T., Reinart A., (2017). Testing the performance of empirical remote sensing algorithms in the Baltic Sea waters with modelled and in situ reflectance data. Oceanologia, 59, 57 68. http://dx.doi.org/10.1016/j.oceano.2016.08.002

Kallio K., Koponen S., Ylöstalo P., Kervinen M., Pyhälahti T., Attila J., (2015). Validation of MERIS spectral inversion processors using reflectance, IOP and water quality measurements in boreal lakes. Remote Sensing of Environment 157 (2015) 147–157. https://doi.org/10.1016/j.rse.2014.06.016

Attila J., Koponen S., Kallio K., Lindfors A., Kaitala, S., Ylöstalo, P. (2013). MERIS Case II water processor comparison on coastal sites of the northern Baltic Sea, Remote Sensing of Environment, 128, 138–149. https://doi.org/10.1016/j.rse.2012.07.009

Kallio, K., Attila, J., Härmä, P., Koponen, S., Pulliainen, J., Hyytiäinen, U.-M. & Pyhälahti, T. (2008). Landsat ETM+ Images in the Estimation of Seasonal Lake Water Quality in Boreal River Basins, Environmental Management 42: 511-522. https://doi.org/10.1007/s00267-008-9146-y

Attila, J., Pyhälahti, T., Hannonen, T., Kallio, K., Pulliainen, J., Koponen, S., Härmä, P., & Eloheimo, K. (2008). Analysis of turbid water quality using airborne spectrometer data with a numerical weather prediction model-aided atmospheric correction, Photogrammetric Engineering and Remote Sensing, 74, 3, 363–374.  https://doi.org/10.14358/PERS.74.3.363

Koponen, S., Attila J., Pulliainen J., Kallio K., Pyhälahti T., Lindfors A., Rasmus K., Hallikainen M., (2007). A case study of airborne and satellite remote sensing of a spring bloom event in the Gulf of Finland, Continental Shelf Research, 27,2, 228-244. https://doi.org/10.1016/j.csr.2006.10.006

Vepsäläinen, J., Pyhälahti, T., Rantajärvi, E., Kallio, K., Pertola, S., Stipa, T., Kiirikki, M., Pulliainen, J. (2005). The combined use of optical remote sensing data and unattended flow-through fluorometer measurements in the Baltic Sea, International Journal of Remote Sensing, VOL 26 (2) 261-282. https://doi.org/10.1080/01431160410001723718

Pulliainen J., Vepsäläinen J., Kaitala S., Hallikainen M., Kallio K., Fleming V., Maunula P. (2004). Regional Water Quality Mapping through the Assimilation of Space-Borne Remote Sensing Data to Ship-Based Transect Observations, Journal of Geophysical Research, Vol. 109, No. C12, C12009, 2004. https://doi.org/10.1029/2003JC002167

https://doi.org/10.1016/j.rse.2004.11.013

Koponen S., Kallio K., Pulliainen J., Vepsäläinen J., Pyhälahti T., Hallikainen M. (2004). Water Quality Classification of Lakes Using 250-m MODIS Data, IEEE Geoscience and remote sensing letters 1(4): 287-291. 10.1109/LGRS.2004.836786

Metsämäki, S., Vepsäläinen, J., Pulliainen, J., Sucksdorff, Y., (2002).  Improved linear interpolation method for the estimation of snow-covered area from optical data. Remote Sensing of Environment 82(1): 64-78. ISSN 0034-4257. 10.1016/S0034-4257(02)00025-1

Stipa, T., Vepsäläinen, J., (2002).  The fragile climatological niche of the Baltic Sea. Boreal Environment Research 7(4): 335-342. ISSN 1239-6095.

Härmä P., Vepsäläinen J., Hannonen T., Pyhälahti T., Kämäri J., Kallio, K., Eloheimo K., Koponen S. (2001). Detection of water quality using simulated satellite data and semi empirical algorithms in Finland. The Science of Total Environment, 268 (1-3), 107-121. https://doi.org/10.1016/S0048-9697(00)00688-4

Kallio K., Kutser T., Hannonen T., Koponen S., Pulliainen J., Vepsäläinen J., Pyhälahti T. (2001). Retrieval of water quality from airborne imaging spectrometry of various lake types in different seasons. The Science of Total Environment, 268 (1–3), 59-77. https://doi.org/10.1016/S0048-9697(00)00685-9

Koponen S., Pulliainen J., Servomaa H., Zhang Y., Hallikainen M., Kallio K., Vepsäläinen J., Pyhälahti T., Hannonen T. (2001).  Analysis on the feasibility of multi source remote sensing observations for chl a monitoring, The Science of the Total Environment, 263(1-3), 95-106. https://doi.org/10.1016/S0048-9697(00)00689-6