Mihai Tanase

helping with science



Born and raised in Bucharest I started my trip around the world at 14 when I moved north to study forestry within a specialized high school program followed by a BS in Forest Management. Once task accomplished, nine years later, I returned home working as an engineer at the Forest Research and Management Institute. During this period I have also enhanced my education with a bachelor in economics. Five years later I have decided to follow a Masters program at the Mediterranean Agronomic Institute of Chania (Greece). This brought a change to my career which afterwards focused on remote sensing applications for forest management. Following the master, I went for a PhD degree at the University of Saragossa (Spain). A postdoctoral fellowship at the University of Melbourne set me adrift towards the end of the world were I have remained since together with my dear companions Cris, Oscar and Marcos. As a good forester I like trekking, camping, and generally all kind of outdoors activities. I also like learning new things and taking on new challenges. You will learn more about me by browsing this website. If you want to know about my professional background, check the “Research” page. The photo gallery showcases some of my trips, activities and friends. For any doubt, curiosity or suggestion contact me.

Mihai Tanase

helping with science


  • Research Interests

    • Natural Hazards

      (forest fires, floods)

      My interests are focused on pre- and post-fire forest management and the use of remote sensing for landscape scale assessment of fuel type, fuel load, fire effects and live fuels moisture content. I am using a variety of remote sensing sensors from high resolution optical to synthetic aperture radar and airborne laser scanning. Over the past 10 years I have developed new methods based on SAR for estimating fire severity and forest regrowth in a range of environments. The pioneering nature of this effort resulted in the publication of several articles one of which was awarded the Interactive Prize Paper Award by the IEEE Geoscience and Remote Sensing Society. I have also demonstrated the utility of SAR data for the retrieval of live canopy moisture content which is relevant for fire risk evaluation. Recently, I have proposed the use of a novel index, the standardized Radar Burn Ratio, for the estimation of fire severity without the need for a priori information from field campaigns.

    • Carbon cycling

      (forest biomass, fire emissions)

      I am interested in airborne and space-borne radar data to understand the main factors influencing forest biomass quantification errors. My work focuses on improving biomass estimation accuracy from dense multi-temporal series and advanced radar techniques such as polarimetry and interferometry. I have also worked on enhancing existing backscatter models with a priori forest structural information obtained from lidar sensors.

    • Environmental change

      (land use & land cover change)

       I am also interested in broad scale changes of land use land cover types with an emphasis on forest change caused by natural disasters or the anthropic influence. I am using a range of methods and sensors such as object and pixel based classification techniques, change detection, and trajectory analysis as well as a range of sensors from high and very high spatial resolution optical satellite images to synthetic aperture radar and their synergy.

  • Education

    • PhD Geography

      University of Zaragoza (2006-2010)

      Spatial Planning and Environment program Thesis: SAR Sensitivity to Burn Severity and Forest Recovery in Mediterranean Environments – backscatter and interferometric coherence analysis. Grade: Maxima cum laude with European Honors, Date: December 3rd 2010.

    • MSc Environmental Management

      Mediterranean Agronomic Institue of Chania (2004-2006)

      Curricula on Remote Sensing and GIS for environmental management Thesis: Fuel type mapping using high and very high spatial resolution satellite imagery”. Grade: Maxima cum laude

    • BSc Economics

      Academy of Economic Studies (1999-2003)

      Financial markets and banking program, Thesis: Mortgage loans, a way to develop real estate market in Romania.

    • BSc Honors Silviculture

      Stefan cel Mare University (1994-1999)

      Silviculture and forest management, Thesis: Decadal forest management planning for Doroteia forest district.

  • Employment

    • University of Alcala

      Research Fellow (2015-present)

      Multi-temporal data series analysis and radar-optical data fusion for vegetation and natural disasters monitoring

    • University of Melbourne

      Research Fellow (2011-2014)

      Development of algorithms for forest characterization from remote sensing data with an emphasis on radar and lidar sensors; Analysis of spatial patterns of vegetation moisture content; Calibration and validation of airborne synthetic aperture radar data; Development of field protocols for data collection; Field data collection and processing; Planning airborne surveys; Soil moisture estimation.

    • University of Zaragoza

      Research Fellow (2008-2010)

      Polarimetric, interferometric and backscatter analysis of synthetic aperture radar data over areas affected by natural hazards; Forest monitoring using synthetic aperture radar data; Burn severity estimation at regional level using optical sensors.

    • Mediterranean Agronomic Institute of Chania (part-time)

      Research assistant (2005-2006)

      Development of land-cover/land-use maps using QuickBird and Ikonos satellite imagery and object-oriented analysis; Research on hyper-spectral satellite imagery for pre-fire planning and management; Pixel and object oriented mapping of forest fuels; Collection of vegetation spectral signatures; Accuracy assessment of the derived mapping products.

    • Forest Research and Management Institute

      Research fellow (2002-2004)

      Forest monitoring within the framework of the European ICP program and the Romanian national monitoring program; Monitoring air pollution effects on forest health in the Carpathian Mountains; Forest management planning and conservation of virgin forests; Field data collection, processing and analysis.

    • Forest Research and Management Institute

      Engineer (1999-2002)

      Forest management planning; Statistical analysis on wood volume harvested at national level from private forests; Statistical analysis on forest excluded from the privatization process.

  • Remote Sensing Skills

    Optical sensors 70%
    SAR sensors 85%
    LiDAR 70%
    Signal processing 35%
    Field campaign 85%
  • Software skills

    Gamma RS 85%
    ITT ENVI 80%
    ESRI ArcGIS 70%
    Matlab 50%
    Statistica & SPSS 50%
    PolSARpro 70%
    Erdas Imagine 65%
    IDRISI 40%

Mihai Tanase

helping with science


Contact Info

m: Madrid 28250, Spain
p: +34 671 12 01 22

Drop me a line



Peer reviewed

(download @ ResearchGate

  1. M. Belenguer-Plomer, M.A. Tanase, A. Fernandez-Carillo, and E. Chuvieco (2019), Burned area detection and mapping using Sentinel-1 backscatter coefficient and thermal anomalies, Remote Sensing of Environment, Vol 233.
  2. M. Suárez-Muñoz, F.J. Bonet-García, J.A. Hódar, J. Herrero, M.A. Tanase, and L. Torres-Muros (2019), INSTAR: An Agent-Based Model that integrates existing knowledge to simulate the population dynamics of a forest pest, Ecological Modelling, vol 411.
  3. I.S. Pascu, A.C. Dobre, Ov. Badea,  and M. Tanase (2019) Estimating forest stand structure attributes from Terrestrial Laser Scans, Science of the Total Environment, vol. 691, 205-215.
  4. M. Tanase, L. Villard, D. Silaghi, B. Apostol, M. Petrila, S. Chivulescu, S. Leca, I. Borlaf Mena, I. Pascu, A.C.  Dobre, D. Pitar, Gh. Guiman, A. Lorent, C. Anghelus, A. Ciceu, G. Nedea, R. Stanculeanu, Fl. Popescu, C. Aponte, and Ov. Badea1 (2019) Synthetic aperture radar sensitivity to forest changes: a simulations-based study for the Romanian forests, Science of the Total Environment, vol. 689, pp. 1104-1114.
  5. I. Borlaf, A. Gomez, and M. Tanase, (2019), Methods for tree cover extraction from high resolution orthophotos and airborne LiDAR scanning in Spanish dehesas, Revista de Teledeteccion. Vol. 53, pp. 17-32.
  6. Chuvieco E., Mouillot F., van der Werf G.R., San Miguel J., Tanase M, Koutsias N., García M., Yebra M., Padilla M., Gitas I., Heil A., Hawbaker T.D., and Giglio L., (2019), Historical background and current developments for mapping burned area from satellite Earth observation, Remote Sensing of Environment, vol 225, pp. 45-64.
  7. C. Gomez, P. Alejandro, T. Hermosilla, F. Montes, C. Pascual, L.A. Ruiz, F. A. Taboada, M.A. Tanase, and R. Valbuena, (2019), Remote sensing for the Spanish forests in the 21st century: a review of advances, needs, and opportunities, Forest Systems, Vol. 28, No. 1, pp. 33.
  8. A. Carillo, L. McCaw, M. Tanase (2019), Estimating prescribed fire severity in eucalypt forests using L-band SAR change detection, Remote Sensing of Environment, vol. 224, pp.133-144.
  9. B. Apostol, S. Chivulescu, A. Ciceu, M. Petrila, I.S. Pascu, E. N. Apostol, S. Leca, A. Lorent, M. Tanase, Ov. Badea, (2018), Data collection methods for forest inventory: a comparison between an integrated conventional equipment and terrestrial laser scanning, Annals of Forest Research, vol. 61 (2), pp. 189-202.
  10. B.N. Tran, C. Aponte, M. Tanase, L.T. Bennett, (2018), Evaluation of spectral indices for fire severity assessment in Australian temperate forests, Remote Sensing, vol. 10 (11), pp. 1680.
  11. L. Zhu, P. Walker, N. Ye, C. Rudiger, J. Hacker, R. Panciera, M. Tanase, X. Wu, D. Gray, N. Stacy, A. Goh, H. Yardley, and J. Mead (2018) The Polarimetric L-band Imaging Synthetic Aperture Radar (PLIS): Description, Calibration, and Cross-Validation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, pp. 4513-4525.
  12. S. Hoffmann, T.M. Schmitt, A. Chiarucci, S.D.H. Irl, D. Rocchini, O.R. Vetaas, M. Tanase, and Carl Beierkuhnlein (2018) Remote sensing of β‐diversity: Evidence from plant communities in a semi‐natural system, Applied Vegetation Science, vol. 22, pp. 13-26.
  13. Tanase, C. Aponte, S. Mermoz, A. Bouvet, T. Le Toan, and M. Heurich, (2018) Detection of windthrows and insect outbreaks by L-band SAR: a case study in the Bavarian Forest National Park, Remote Sensing of Environment, vol 209, pp. 700-711.
  14. A.L. Montealegre, M.T. Lamelas, M. Tanase, J. de la Riva (2017) Forest fire severity estimation based on the LiDAR-PNOA data and the values of the Composite Burn Index, Revista de Teledeteccion, no. 49 pp.1-16;
  15. L.T. Bennett, M.J. Bruce, J. McHunter, M. Kohout, M.Tanase, C. Aponte, (2016), Mortality and recruitment of fire-tolerant eucalypts as influenced by wildfire severity and recent prescribed fire, Forest Ecology and Management, vol. 380, pp. 107-117; 10.1016/j.foreco.2016.08.047.
  16. L. He, R. Panciera, M. Tanase, J. P. Walker, and Q. Qin, 2016, Soil moisture retrieval in agricultural fields using adaptive model-based polarimetric decomposition of SAR data, accepted for publication (1/03/2016) in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2016.2542214.
  17. M.A. Tanase, R. Kennedy, C. Aponte, 2015,  Radar Burn Ratio for fire severity estimation at canopy level: An example for temperate forests, Remote Sensing of Environment, Vol. 170, pp. 14-31, doi:10.1016/j.rse.2015.08.025.
  18. M.A. Tanase, R. Kennedy, C. Aponte, 2015, Fire severity estimation from space: a comparison of active and passive sensors and their synergy for different forest types, International Journal of Wildland Fired, doi: 10.1071/WF15059;
  19. K. D. Fieber, I. J. Davenport, M. A. Tanase, J. M. Ferryman, R. J. Gurney, V. M. Becerra, J. P. Walker, J. M. Hacker,  2015, Validation of Canopy Height Profile methodology for small-footprint full-waveform airborne LiDAR data in a Discontinuous Canopy Environment, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 104, pp. 144-157, doi:10.1016/j.isprsjprs.2015.03.001;
  20. M.A. Tanase, I. Ismail, K. Lowell, O. Karyanto, and M. Santoro, 2015, Detecting and Quantifying Forest Change: The Potential of Existing C-and X-Band Radar Datasets, PloS one 10 (6), e0131079;
  21. M. A. Tanase, R. Panciera, K. Lowell, C. Aponte, 2015, Monitoring live fuel moisture in semi-arid environments using L-band radar data, Vol. 24, pp. 560-572, International Journal of Wildland Fire;
  22. A. Montealegre, T. Lamelas, M. Tanase and J. de la Riva, 2014, Forest fire severity assessment using LiDAR data in a Mediterranean environment, Remote Sensing, Vol. 6, No.5, pp. 4240-4265, doi:10.3390/rs6054240;
  23. K. D. Fieber, I. J. Davenport, M. Tanase, J. M. Ferryman, R. J. Gurney, J. P. Walker, J. M. Hacker, 2014, Effective LAI and CHP of a Single Tree from Small-Footprint Airborne Full-Waveform LiDAR, IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 9, pp. 1634-1638, doi: 10.1109/LGRS.2014.2303500;
  24. M.A. Tanase, R. Panciera, K. Lowell, S. Tian, J. Hacker and J.P. Walker, 2014, Airborne multi-temporal L-band polarimetric SAR data for biomass estimation in semi-arid forests, Remote Sensing of Environment; Vol. 145, pp. 93-104, doi: 10.1016/j.rse.2014.01.024;
  25. M. A. Tanase, R. Panciera, K. Lowell, S. Tian, A. Garcia-Martin and J. Walker, 2014, Sensitivity of L-band Radar Backscatter to Forest Biomass in Semi-arid Environments: A Comparative Analysis of Parametric and Non-Parametric Models, IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 8, pp. 4671 – 4685, doi:10.1109/TGRS.2013.2283521;
  26. R. Panciera, M. A. Tanase, K Lowell, and J.P. Walker, 2014, Evaluation of IEM, Dubois and Oh Radar Backscatter Models using Airborne L-band SAR, IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 8, pp. 4966 – 4979, doi:10.1109/TGRS.2013.2286203;
  27. R. Turner, R. Panciera, M. A. Tanase, K. Lowell, J. M. Hacker, 2014, Estimation of Soil Surface Roughness in Australian Agricultural soils using airborne LiDAR, Remote Sensing of Environment, Vol. 140, pp. 107-117, doi: 10.1016/j.rse.2013.08.030;
  28. M. A. Tanase, R. Panciera, K. Lowell, C. Aponte, J. M. Hacker, J. P. Walker, 2014, Forest Biomass Estimation at High Spatial Resolution: Radar vs. Lidar sensors, IEEE Geoscience and Remote Sensing Letters; Vol. 11, No. 3, pp. 711-715, doi: 10.1109/LGRS.2013.2276947;
  29.  M. A. Tanase, M. Santoro, C. Aponte, and J. de la Riva, 2014, Polarimetric properties of burned forest areas at C- and L-band, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No. 1, pp. 267-276, doi: 10.1109/JSTARS.2013.2261053;
  30. R. Panciera, J. P. Walker, T. J. Jackson, D. Gray, M. Tanase, D. Ryu, A. Monerris, H. Yardley, C. Rüdiger, X. Wu, Y. Gao and J. Hacker, 2014, The Soil Moisture Active Passive Experiments (SMAPEx): Towards Soil Moisture Retrieval from the SMAP Mission,  IEEE Transactions on Geoscience and Remote Sensing; Vol. 52, No. 1, pp. 490-507, doi: 10.1109/TGRS.2013.2241774;
  31. M.A. Tanase, J. de la Riva, M. Santoro, F. Perez-Cabello and Eric Kasischke, 2011, Sensitivity of SAR data to post-fire forest regrowth in Mediterranean and boreal environments, Remote Sensing of Environment, Vol. 115, pp. 2075-2085, doi:10.1016/j.rse.2011.04.009;
  32. M.A. Tanase, J. de la Riva and F. Pérez-Cabello, 2011, Estimating burn severity in Aragón pine forests using optical based indices, Canadian Journal of Forest Research, Vol. 41, pp. 863-872, doi:10.1139/X11-011, 2011;
  33. E. Kasischke, M. Tanase, L. Bourgeau-Chavez, M. Borr, 2011, Soil moisture limitations on monitoring boreal forest regrowth using spaceborne L-band SAR data, Remote Sensing of Environment, Vol. 115, pp. 227-232, doi:10.1016/j.rse.2010.08.022;
  34. M.A. Tanase, J. de la Riva, M. Santoro, T. Le Toan and F. Pérez-Cabello, 2010, Sensitivity of X-, C- and L-band SAR backscatter to fire severity in Mediterranean pine forests” IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No.10, pp. 3663-3675, doi: 10.1109/TGRS.2010. 2049653;
  35. M.A. Tanase, M. Santoro, U. Wegmüller, J. de la Riva and F. Pérez-Cabello,2010, Properties of X- , C- and L-band repeat-pass interferometric SAR coherence in Mediterranean pine forests affected by fires, Remote Sensing of Environment, Vol. 114, pp. 2182-2194, doi:10.1016/j.rse. 2010.04.021;
  36. M.A. Tanase, F. Pérez-Cabello, J. de la Riva and M. Santoro, 2010, TerraSAR-X Data for Burn Severity Evaluation in Mediterranean Forests on Sloped Terrain, IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 2, pp. 917-929, doi: 10.1109/TGRS.2009.2025943;
  37. M. Tanase and I. Gitas, 2008, An examination of the effects of spatial resolution and image analysis technique on indirect fuel mapping, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 1, No. 4, pp. 220-229, doi: 10.1109/JSTARS.2009. 2012475;
  38. A. Bytnerowicz, Ov. Badea, Fl. Popescu, R. Musselman, M. Tanase, I. Barbu, W. Frączek, N. Gembasu, A. Surdu, F. Danescu, D. Postelnicu, R. Cenusa and C. Vasile, 2005, Air pollution, precipitation chemistry and forest health in the Retezat Mountains, Southern Carpathians, Romania, Environmental Pollution, Vol. 137, pp. 546-567, doi:10.1016/j.envpol.2005.01.040;
  39. Ov. Badea, M. Tanase, G. Jianu, A. Lazar, A. Peiov, H. Uhlirova, J. Pajtik, J. Wawrzoniak and Y. Shparyk, 2004, Forest health status in the Carpathian Mountains over the period 1997-2001, Environmental Pollution, Vol. 130, pp. 93-98, doi:10.1016/j.envpol.2003.10.024;
  40.  Ov. Badea and M. Tanase, 2002, Forest health status in Romania in 2001, Journal of Forests, No.2, pp. 6-10.

Conference proceedings (selective list)

  1. A. Belenguer-Plomer, M. A. Tanase, A, and E. Chuvieco (2019) Evaluation of backscatter coefficient temporal indices for burned area mapping, Proc. SPIE Vol 11154.
  2. B.N. Tran, M. A. Tanase, L. M. Bennett, C. Aponte (2019) Fire-severity classification across temperate Australian forests: random forests versus spectral index thresholding, Proc. SPIE Vol 11149.
  3. A. Fernandez-Carrillo, M. A. Belenguer-Plomer, E. Chuvieco, M. A. Tanase, (2018), Effects of sample size on burned areas accuracy estimates in the Amazon basin, Proc. SPIE 10790, Earth Resources and Environmental Remote Sensing/GIS Applications IX, 107901S.
  4. M.A. Belenguer-Plomer, M. A. Tanase, A. Fernandez-Carrillo, and E. Chuvieco, (2018), Insights into burned areas detection from Sentinel-1 data and locally adaptive algorithms, Proc. SPIE 10788, Active and Passive Microwave Remote Sensing for Environmental Monitoring II, 107888G.
  5. K. Fieber, I. J. Davenport, J. M. Ferryman, R. J. Gurney, M. Tanase, J. P. Walker, J. M. Hacker, (2013), Preliminary leaf area index estimates from airborne small footprint full-waveform LiDAR data, IEEE International Geoscience & Remote Sensing Symposium, Melbourne, Australia, July 21-26, pp. 3379-3382.
  6. S. Tian, M. Tanase, R. Panciera, J. Hacker, K. Lowell, 2013, “Forest biomass estimation using Radar and Lidar synergies”, IEEE International Geoscience & Remote Sensing Symposium, Melbourne, Australia, July 21-26, 2013
  7. M.A. Tanase, M. Santoro, J. de la Riva, E. Kasischke, M. A. Korets, „L-band SAR backscatter prospects for burn severity estimation in boreal forestsin Proc. ESA Living Planet Symposium, Bergen, Norway, 2010, SP-686 (CD-ROM) ESA Publications Division, European Space Agency, Noordwijk, The Netherlands, ISBN 978-92-9221-250-6, 2010
  8. M.A. Tanase, M. Santoro, Juan de la Riva and Fernando Pérez-Cabello, “Backscatter properties of multitemporal TerraSAR-X data and the effects of influencing factors on burn severity evaluation in a Mediterranean pine forest”, in Proc. 2009 IEEE International Geoscience & Remote Sensing Symposium, Cape Town, South Africa, July 12-17, vol. III pp. 593-596, doi: 10.1109/IGARSS.2009.5417827, 2009
  9. M.A. Tanase, T. Le Toan, J. de la Riva and M. Santoro, “An estimation of change in forest area in central siberia using multi temporal SAR data” in Proc. ALOS PI Symposium 2008, Huguette Lacoste Eds., ESA SP-664 (CD-ROM), ESA Publications Division, European Space Agency, Noordwijk, The Netherlands, ISBN 978-92-9221-228-5, 2009

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Sales of jerseys of popular NFL players who have switched teams in the off season wholesale nfl jerseys from china are actually outpacing sales of the big time NBA players.


National Basketball Association stars Tim Duncan and Tony Parker have guided their San Antonio Spurs into the Finals, while Miami Heat superstar LeBron James is getting prime time attention on TV as he tries to help his team into the sport’s championship series.

“On any given day, we sell more NFL jerseys than NBA jerseys and we’re cheap jerseys in the wholesale cheap jerseys middle cheap nhl jerseys china of the NBA playoffs,” said Bruce Mianecki, owner of Uniform Sports.

Even with NBA All Stars like Duncan and Heat superstars James and Dwyane Wade drawing media attention, Las Vegas sports fans apparently are still hooked on the National Football League, which is in a lull between the player draft event and pre season training camps.

The hottest seller is not a James jersey. Beating James wholesale nhl jerseys china at the cheap jerseys Uniform Sports cash register are the jerseys of NFL stars who have switched teams such as Wes Welker of the Denver Broncos, Percy Harvin of the Seattle Seahawks and Mike Wallace of the Miami Dolphins, Mianecki said.

“There’s renewed excitement in the NFL and people are ready for the NFL,” he said. “The NFL has a 12 month selling season and Wholesale Custom NFL Jerseys they’re a marketing machine.”

The Harvin and Welker jerseys bearing the players’ new teams are also popular nationally.

The Harvin jersey ranked 22nd in sales, while sales of Welker’s jersey ranked 24th, she said.

Well known NFL players on new teams are great for merchandise sales because Cheap NFL Jerseys fans want the newest, said Scott Becher, executive vice president and managing director for cheap nba jerseys china sports and entertainment at Z Group Advertising Inc. in Fort Lauderdale, Fla.

“A key to quick licensing sales success is change new team, new logo, even new colors,” Becher said. “So when a superstar changes teams, the first winner is typically the cash register.”

Mianecki also noted that high profile NBA teams are no longer in the playoffs such as the Los Angeles Lakers, Boston Celtics, Chicago Bulls and New York Knicks. That means less star power, which translates into decreased NBA jersey sales, he said.

The only teams left are the Spurs, which represent the Western Conference in the Finals and the Indiana Pacers and Heat, which are dueling in the Eastern Conference wholesale jerseys Finals.

“In the NBA, it’s more about players and I don’t anyone who can name three players playing for Indiana,” Mianecki said. “Even Tony Parker, Tim Duncan and Manu Ginobili on the Spurs are not perceived as superstars like some of the NFL stars.”

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