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About Institutes Public Relations Technology Transfer Students\International Information Center (Library) Administration
שלח באימייל הדפס
Name: Tarin Paz-Kagan, Ph.D. (Researcher)
Units: Agricultural EngineeringSensing, Information and Mechanization Engineering
Research Interests / Job description  
Tel:  +972-3-9683999 +972-50-3296623
Email:  paztarin@gmail.com  tarin@volcani.agri.gov.il
Office location:Agricultural Engineering, Sensing, Information and Mechanization Engineering
Address:Laboratory of Agro-informatics and Remote-Sensing
Department of Sensing, Information and Mechanization Systems
Institute of Agricultural Engineering
Agricultural Research Organization, Volcani Center



Research Interests / Job description
Remote Sensing (sensors, algorithms, applications)
High fidelity imaging spectroscopy (HiFIS)
Light detection and ranging (LiDAR)
Applied Spectroscopy-plant & soil spectroscopy
Spatial & temporal analysis
Precision agriculture
Big data and Meta-data analysis
Machine Learning



Levi N, Karnieli A, and Paz-Kagan T. 2020. Using reflectance spectroscopy for detecting land-use effects on soil quality in dryland. Soil and Tilling Research. 199: 104571-104585.

Ohana-Levi, N., Ben-Gal, A., Peeters, A., Termin, D., Linker, R., Baram, S., Raveh, E., Paz-Kagan, T. A comparison between clustering models for determining N-fertilization management zones in orchards. 2020. Precision Agriculture.17: 1-25.


Paz-Kagan, T, Niv DeMalach, Eli Zaady, and Moshe Shachak. 2019. Resource redistribution effects on annual plant communities in a runoff harvesting system in dryland. Journal of Arid Environments.171: 103984-103994.

Paz-Kagan, T, Panov, N, Mica Silver, and Arnon Kanieli. 2019. Multispectral Approach for Identifying Invasive Plant Species Based on Flowering Phenology Characteristics. Remote-Sensing. 11(8): 953-967. https://www.mdpi.com/2072-4292/11/8/953 

Ohana-Levi, N., Paz-Kagan, T, Panov, N., Peeters, A., Tsoar, A., and Karnieli, A. 2019. Time series analysis of the vegetation-cover response to environmental factors and residential development in a dryland region. GIScience & Remote Sensing. 56(3): 362-387. https://www.tandfonline.com/doi/abs/10.1080/15481603.2018.1519093

Karnieli., A Ohana-Levi.., N, Silver., Micha, Paz-Kagan., T, Panov., N, Varghese., D, Chrysoulakis., N, Beierkuhnlein., C, Provenzale., A. 2019. Spatial and Seasonal Patterns in Vegetation Growth-Limiting Factors over Europe. Remote Sensing. 11, 2406: 1-15.


Qi, H., Zhao, Paz-Kagan, T., Karnieli, A., and Li, S. 2018. Evaluating calibration methods for predicting soil available nutrients using hyperspectral VNIR data. Soil & Tillage Research. 175: 267-275. https://www.sciencedirect.com/science/article/pii/S0167198717301733

Ohana-Levi, N., Givati, A., Paz-Kagan, T, and Karnieli, A. 2018. Forest composition effect on wildfire pattern and run?off regime in a Mediterranean watershed. Ecohydrology. 11(4): 1936-1946. https://onlinelibrary.wiley.com/doi/abs/10.1002/eco.1936

Qi, H., Zhao, Paz-Kagan, T., Karnieli, A., and Li, S. 2018. Multi-task linear learning for predicting soil properties using field spectroscopy. Remote Sensing. 9(11) 1099-1125. http://www.mdpi.com/2072-4292/9/11/1099/html

Nydick, R.K., Ambrose, A., Asner P.G., Baxter, W., Das, A.J., Martin, R.E., Paz-Kagan T., Stephenson N.L. 2018. The Leaf to Landscape Project: empirical mapping of climate change vulnerability for giant sequoia in the southern Sierra Nevada, CA. Forest Ecology and Management (special issue). https://www.sciencedirect.com/science/article/pii/S0378112717314822


Martin, E.R, Asner, P.G., Francis, E., Ambrose, A., Baxter, W., Das, J.A., Vaughn, N.R., Paz-Kagan, T., Dawson, T., Nydick, K., and Nathan L. Stephenson, L.N. 2017. Remote analysis of canopy water content in giant sequoias (Sequoiadendron giganteum) during drought. Forest Ecology and Management (special issue). 419: 279-290. https://www.sciencedirect.com/science/article/pii/S037811271731040X

Paz-Kagan, T., Brodrick, P., Vaughn N.R., Das, A.J, Stephenson, N.L., Nydick, K., and Asner, G.P. 2017. Landscape-scale variation in canopy water content of giant sequoias during drought. Forest Ecology and Management (special issue). 149: 291-304. https://www.sciencedirect.com/science/article/pii/S0378112717314354

Herrmann, I., Berenstein M., Paz-Kagan, T., Karnieli, A., and Sade A. 2017. Spectral assessment of two-spotted spider mite damage levels in the leaves of greenhouse-grown pepper and bean. Biosystem Engineering. 175: 72-85.  https://www.sciencedirect.com/science/article/pii/S1537511016304998

Paz-Kagan T., Caras, T., Shachak, M., and Karnieli, A. 2017. Multiscale mapping of species diversity under changed land-use using imaging spectroscopy. Ecological Application. 27: 1466-1484. http://onlinelibrary.wiley.com/doi/10.1002/eap.1540/full

Paz-Kagan, T, and Asner, G.P. 2017. Drivers of woody canopy water content responses to drought in a Mediterranean type ecosystem. Ecological Application. 27(7): 2220-2233. http://onlinelibrary.wiley.com/doi/10.1002/eap.1603/full

Paz-Kagan, T., Brodrick, P., Vaughn N.R., Das, A.J, Stephenson, N.L., and Asner, G.P. 2017. What mediate tree mortality in response to drought stress in the southern Sierra-Nevada? .Ecological Application. 27(8): 2443-2457. http://onlinelibrary.wiley.com/doi/10.1002/eap.1620/full

Paz-Kagan T., Shachak, M., Zaady, E., and Karnieli, A. 2017. Ecosystem effect of integrating human-made runoff harvesting system in natural dryland watersheds. Journal of Arid Environment. 147: 133-143. https://www.sciencedirect.com/science/article/pii/S0140196317301477


Paz-Kagan, T., Shachak, M., Zaady, E., and Karnieli, A. 2016. Transformation of shrublands to forests: the role of woody species as ecosystem engineers and landscape modulators. Forest ecology and management. 361: 257-268. https://www.sciencedirect.com/science/article/pii/S0378112715006441

Paz-Kagan T., Levi, N., Herrmann, I., Shachak, M., Zaady, E., Karnieli, A. and Henkin, Z. 2016. Grazing intensity effects on soil quality: A spatial analysis of Mediterranean grassland.  Catena.146: 100-110. http://www.sciencedirect.com/science/article/pii/S0341816216301576


Rosenstein, O.*, Paz-Kagan, T.*, Salbach, C., and Karnieli, A. 2015. Comparing the effect of pre-processing on land use classification methods derived from spectral soil measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 99, 1-12 (*equally contributing authors), https://ieeexplore.ieee.org/abstract/document/6991564/              

Paz-Kagan T., Shachak, M., Zaady, E., Salbach, C., Schmidt, A., Zacharias, S., Lausch, A., Notesco, G., Ben-Dor, E and Karnieli, A. 2015. Mapping of spectral soil quality index (SSQI) using airborne imaging spectroscopy. Remote Sensing, 7: 15748-15781. http://www.mdpi.com/2072-4292/7/11/15748/htm

Herrmann, I., Berenstein M., Paz-Kagan, T., Karnieli, A., and Sade A. (2015). Spectral assessment of two-spotted spider mite damage levels in the leaves of greenhouse-grown pepper and bean. Precision Agriculture. 661-666.


Paz-Kagan, T., Shachak, M., Zaady, E., and Karnieli, A. 2014. Evaluation of ecosystem responses to land-use change using soil quality and primary productivity in a semi-arid area, Israel. Agriculture, Ecosystems, and Environment, 193: 9-24.

Paz-Kagan, T., Shachak, M., Zaady, E., and Karnieli, A. 2014. A spectral soil quality index (SSQI) for characterizing soil function in changed land use. Geoderma. 230: 171-184. http://www.sciencedirect.com/science/article/pii/S0016706114001426

Paz-Kagan, T., Shachak, M., Zaady, E., and Karnieli, A. 2014. Structural changes of desertified and managed shrubland landscapes, in response to drought: a spectral, spatial, and temporal analysis. Remote Sensing, 6: 8134-8164. https://www.mdpi.com/2072-4292/6/9/8134/htm


Updated on: 18/07/20 12:35
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