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PUBLICATIONS

Peer-reviewed papers

 

2024

  • Rozenstein, O., Cohen, Y.,Elchanatis, V., Behrendt, K.,  Bonfil, D.J., Eshel, G., Harari, A.,  Harris, W. E., Klapp, I., Laor, Y., Linker, R., Paz-Kagan, T.,  Peets, S.,  Rutter, S. M., Salzer, Y and Lowenberg-DeBoer, J. 2024. Data-driven agriculture and sustainable farming: friends or foes? Precision Agriculture, 25(1), 520-531.https://doi.org/10.1007/s11119-023-10061-5 

  • Turkeltaub, T., Peltin, B., Dagan, A., Paz-Kagan, T., Rave, E., & Baram, S. 2024. Accounting for the impact of tree size and soil spatial variability on leaching from orchards. Computers and Electronics in Agriculture, 221, 108996. https://doi.org/10.1016/j.compag.2024.108996

  • Orozco, J., Lauterman, O., Sperling, O., Paz-Kagan, T., & Zwieniecki, M. A. 2024. Losing ground: projections of climate-driven bloom shifts and their implications for the future of California’s almond orchards. Scientific Reports, 14(1), 636. https://doi.org/10.1038/s41598-023-50688-y 

  • Caras, T., Lati, R.N., Holland, D., Dubinin, V.M., Hatib, K., Shulner, I., Keiesar, O., Liddor, G. and Paz-Kagan, T., 2024. Monitoring the effects of weed management strategies on tree canopy structure and growth using UAV-LiDAR in a young almond orchard. Computers and Electronics in Agriculture, 216, p.108467. https://doi.org/10.1016/j.compag.2023.108467 

2023

  • Dubinin, M., Osem, Y., Yakir, D. and Paz-Kagan, T., 2023. Satellite-based assessment of water use and leaf area efficiencies of dryland conifer forests along an aridity gradient. Science of the Total Environment, 902, p.165977. https://doi.org/10.1016/j.scitotenv.2023.165977 

  • Abekasis, D, Rokach, L, Sadka, A, Shilo Shiff, Michael Morozov, Itzhak Kamara, Paz-Kagan T, (2023) "Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale. Precision agriculture.https://doi.org/10.1007/s11119-023-10084-y   

  • Paz-Kagan, T, Alexandroff, V.T and Ungar, E.D. 2023. "Detection of goat herding impact on vegetation cover change using multi-season, multi-herd GPS tracking, and satellite imagery.” Science of the Total Environment. 164830. https://doi.org/10.1016/j.scitotenv.2023.164830 

  • Adar, S, Sternberg, M, Henkin, Z, Dovrat, G, Zaady, E, and Argaman, E,and Paz-Kagan, T. 2023. "Pasture quality index based on VENμS satellite in Mediterranean and semi-arid grasslands. Agriculture, Ecosystem, and Environment. https://doi.org/10.1016/j.agee.2023.108674

  • Paz-Kagan., T., Sperling, O., Schmilovitch, Z.E., Yermiyahu, U. and Rapaport, T., Agricultural Research Organization of Israel Ministry of Agriculture, 2023. A method for assessing nitrogen nutritional status in plants by visible-to-shortwave infrared reflectance spectroscopy of carbohydrates. U.S. Patent Application 17/801,868.

  • Termin, D., Linker, R., Baram, S., Raveh, E., Ohana-Levi, N., & Paz-Kagan, T. 2023. Dynamic delineation of management zones for site-specific nitrogen fertilization in a citrus orchard. Precision Agriculture, 1–23. https://doi.org/10.1007/s11119-023-10008-w 

 

2022

  • Birenboim, M., Kengisbuch, D. , Chalupowicz, D., Maurer, D., Barel, S., Chen, Y., Fallik, E., Paz-Kagan, T. and Shimshoni, J.A., 2022. Use of near-infrared spectroscopy for the classification of medicinal cannabis cultivars and the prediction of their cannabinoid and terpene contents. Phytochemistry, p.113445.  10.1016/j.phytochem.2022.113445

  • Levi N, Karnieli A, and Paz-Kagan, T. (2022). Predicting land-use effects on soil quality in an arid environment using imaging spectroscopy. ISPRS journal of photogrammetry and remote sensing.186: 34-54.  

  • Adar, S, Sternberg, M, Paz-Kagan, T, Henkin, Z, Dovrat, G, Zaady, E, and Argaman, E. (2022). "Estimation pasture aboveground biomass using UAV and VENμS satellite imagery in Mediterranean and Semi-arid Grasslands." 22:100753. Remote Sensing Applications: Society and Environment. 

  • Birenboim M, Chalupowicz D, Maurer D, Barel S, Chen Y, Falik E, Paz-Kagan T, Rapaport T, Sadeh A, Kengisbuch D and Shimshoni J.A. (2022). "Terpene and phytocannabinoid (“chemovar”) profile-based multivariate classification of Cannabis cultivars." Phytochemistry. 

 

​​2021

  • Paz-Kagan, T. Geba Chang, j., Sternberg, M.,, Shoshany, M., and Karnieli, A. 2021.  Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands. GIScience and Remote Sensing. 1-25.

  • Levi N, H, Hillel, N, Zaady E, Rotem, G, Ziv Y, Karnieli A, and Paz-Kagan T. 2021. Soil quality index for assessing phosphate mining restoration in a hyper-arid environment. Ecological Indicators. 125: 1107571.

  • Ohana-Levi, N., Ben-Gal, A., Peeters, A., Termin, D., Linker, R., Baram, S., Raveh, E., Paz-Kagan, T. 2021. A comparison between clustering models for determining N-fertilization management zones in orchards. Precision Agriculture.17: 1-25.

2020

  • 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.

  • Paz-Kagan, T., Schmilovitch Z., Yermiyahu U., Rapaport, T., and Sperling O. 2020. Assessing the nutritional status of almond trees by visible-to-shortwave infrared (VIS-SWIR) reflectance spectroscopy of carbohydrates. Computers and Electronics in Agriculture. 174.

2019​

  • Paz-Kagan, T, Niv DeMalach, Eli Zaady, and Moshe Shachak. 2019. Resource redistribution affects 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. 

  • 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. 

  • 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.

 

2018

  • Qi, H., Zhao, Paz-Kagan, T., Karnieli, A., and Li, S. 2018. Evaluating calibration methods for predicting available soil nutrients using hyperspectral VNIR data. Soil & Tillage Research. 175: 267-275. 

  • Ohana-Levi, N., Givati, A., Paz-Kagan, T, and Karnieli, A. 2018. Forest composition effect on wildfire pattern and runoff regime in a Mediterranean watershed. Ecohydrology. 11(4): 1936-1946. 

  • 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.

  • 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). 

 

2017

  • 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.

  • 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. 

  • Herrmann, I., Berenstein M., Paz-Kagan, T., Karnieli, A., and Sade A. 2017. Spectral assessment of two-spotted spider mite damage levels in greenhouse-grown pepper and bean leaves. Biosystem Engineering. 175: 72-85.  

  • 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.

  • 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. 

  • Paz-Kagan, T., Brodrick, P., Vaughn N.R., Das, A.J, Stephenson, N.L., and Asner, G.P. 2017. What mediates tree mortality in response to drought stress in the southern Sierra Nevada?Ecological Application. 27(8): 2443-2457. 

  • 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 Environments. 147: 133-143. 

 

2016

  • 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. 

  • 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. 

 

2015

  • 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).        

  • 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. 

  • 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.

 

2014

  • Paz-Kagan, T., Shachak, M., Zaady, E., and Karnieli, A. 2014. Evaluating 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) characterizes soil function in changed land use. Geoderma. 230: 171-184.

  • 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. 

 

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