פרופ' איתמר לנסקי

65. Michael Y., G. Kozokaro, S. Brenner, and I. M. Lensky, 2022: Improving WRF-Fire Wildfire Simulation Accuracy Using SAR and Time Series of Satellite-Based Vegetation Indices. Remote Sensing, 14(12), 2941; https://doi.org/10.3390/rs14122941

64. Kayyal-Tarabeia, I., Y. Michael, I. M., Lensky, M., Blank, K., Agay-Shay, 2022: Residential greenness and site-specific cancer: A registry based cohort of 144,427 participants with a 21-years of follow-up, Tel-Aviv district, Israel. Environmental Research. doi:10.1016/j.envres.2022.113460

63. Augustinus, B. A., M. Blum, S. Citterio, R., Gentili, D., Helman, D., Nestel, U., Schaffner, H., Müller-Schärer, and I. M. Lensky, 2022: Ground-truthing predictions of a demographic model driven by land surface temperatures with a weed biocontrol cage experiment. Ecological Modeling. 446, 109897. doi:10.1016/j.ecolmodel.2022.109897

62. Liu H., H. Yin, F. Kong, A. Middel, X. Zheng, J. Huang, T sun, D. Wang, and I. M. Lensky, 2022: Change of nutrients, microorganisms, and physical properties of exposed extensive green roof substrate. Science of the Total Environment. 805, 150344. doi:10.1016/j.scitotenv.2021.150344

2021

61. Basagaña X., Y. Michael, I. M. Lensky, L. Rubin, I. Grotto, E. Vadislavsky, Y. Levi, E. Amitai, K. Agay-Shay, 2021: Identifying windows of susceptibility during pregnancy: associations between low and high ambient temperature and birthweight for 624,940 singleton term livebirths births born in Israel during 2010-2014. Environmental Health Perspectives. 129(10), doi:10.1289/EHP8117

60. Bonfil, D.J., Y. Michael, S. Shiff, I. M. Lensky, 2021: Optimizing Top Dresseing Nitrogen Fertilization Using VENμS and Sentinel-2 L1 Data. Remote Sensing. 13, 3934. https://doi.org/10.3390/rs13193934

59. Shiff S., I. M. Lensky, and D. Bonfil, 2021: Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change. Remote Sensing. 13, 2049. https://doi.org/10.3390/rs13112049

58. Elbaz S., E. Sheffer, I. M. Lensky, N. Levin, 2021: The Impacts of Spatial Resolution, Viewing Angle, and Spectral Vegetation Indices on the Quantification of Woody Mediterranean Species Seasonality Using Remote Sensing. Remote Sensing. 13, 1958. https://doi.org/ 10.3390/rs13101958

57. Zheng X., F. Kong, H. Yin, A. Middel, H. Liu, D. Wang, T. Sun, I. Lensky, 2021: Outdoor thermal performance of green roofs across multiple time scales: A case study in subtropical China. Sustainable Cities and Society, doi:10.1016/j.scs.2021.102909.

56. Shiff S., D. Helman, and I. M. Lensky, 2021: Worldwide continuous gap-filled MODIS land surface temperature dataset. Scientific Data. 8:74. doi:10.1038/s41597-021-00861-7.

55. Michael Y., D. Helman, O. Glickman, D. Gabay, S. Brenner, and I. M. Lensky, 2021: Forecasting fire risk with machine learning and dynamic information derived from satellite vegetation index time-series. Science of the Total Environment. doi:10.1016/j.scitotenv.2020.142844

2020

54. Bodenheimer S., R. Nirel, I. M. Lensky, and U. Dayan, 2020: The Synoptic Skill of AOD and Angstrom Exponent Levels over the Mediterranean Basin. International Journal of Climatology. doi:10.1002/joc.6931

53. Dayan U., I. M. Lensky, B. Ziv, and Khain P., 2021: Atmospheric conditions leading to an exceptional fatal flash flood in the Negev Desert, Israel, Nat. Hazards Earth Syst. Sci., 21, 1583–1597, https://doi.org/10.5194/nhess-21-1583-2021

52. Grodek T., E. Morin, D. Helman, I. Lensky, O. Dahan, M. Seely, G. Benito, and Y. Enzel, 2020: Eco-hydrology and geomorphology of the largest floods along the hyperarid Kuiseb River, Namibia. Journal of Hydrology. 582, 124450. doi:10.1016/j.jhydrol.2019.124450

2019

51. Bodenheimer S., I. M. Lensky, and U. Dayan, 2019: Characterization of Eastern Mediterranean dust storms by area of origin; North Africa vs. Arabian Peninsula.  Atmospheric Environment. 198, 158-165. doi:10.1016/j.atmosenv.2018.10.034

50. Helman D., I. M. Lensky, and D. J. Bonfil, 2019: Early prediction of wheat grain yield production from root-zone soil water content at heading using Crop RS-Met. Field Crops Research . 232,11-23. doi:10.1016/j.fcr.2018.12.003

49. Helman D., D. J. Bonfil, and I. M. Lensky, 2019: Crop RS-Met: A biophysical evapotranspiration and root-zone soil water content model for crops based on proximal sensing and meteorological data. Agricultural Water Management. 211, 210-219. doi:10.1016/J.AGWAT.2018.09.043

48. Agay-Shay K., Y. Michael, X. Basagana, E. Martinez, D. Broday, I. M. Lensky, M. Rudolf, L. Rubin, R. Kent, N. Levy, Z. Haklai, and I. Grotto. 2019: Mean and variance of greenness and pregnancy outcomes in Tel Aviv during 2000–14: longitudinal and cross-sectional approaches. International Journal of Epidemiology. 48(4) 1054-1072, https://doi.org/10.1093/ije/dyy249

2018

47. Lensky I. M., U. Dayan, and D. Helman, 2018: Synoptic circulation impact on the near surface temperature difference outweighs that of the seasonal signal in the Eastern Mediterranean. Journal of Geophysical Research-Atmospheres, 123, 11333-11347. doi:10.1029/2017JD027973

46. Michael Y., Lensky I.M., Brenner S., Tchetchik A., Tessler N., Helman D., 2018: Economic Assessment of Fire Damage to Urban Forest in the Wildland-Urban Interface Using Planet Satellites Constellation Images. Remote Sensing, 10(9), 1479. doi:10.3390/rs10091479

45. Hamdani I., Assouline S., Tanny J., Lensky I.M., Gertman I., Mor Z., Lensky N.G., 2018: Seasonal and diurnal evaporation from a deep hypersaline lake: The Dead Sea as a case study. Journal of Hydrology, 562,155-167. doi:10.1016/j.jhydrol.2018.04.057

44. Mor Z. S. Assouline, J. Tanny, I. M. Lensky, and N. G. Lensky, 2018: Effect of water surface salinity on evaporation: The case of a diluted buoyant plume over the Dead Sea.  Water Resources Research. 54(3), 1460-1475. doi:10.1002/2017WR021995

43. Bodenheimer S., R. Nirel, I. M. Lensky, and U. Dayan, 2018: Relationship between AOD and synoptic circulation over the Eastern Mediterranean: A comparison between subjective and objective classifications. Atmospheric Environment. 177, 253-261. doi:10.1016/j.atmosenv.2018.01.016

42. Lensky N.G., I.M. Lensky, A. Peretz, I. Gertman, J. Tanny, S. Assouline, 2018: Diurnal course of evaporation from the Dead Sea in summer: a distinct double peak induced by solar radiation and night sea breeze. Water Resources Research. 54(1), 150-160. doi:10.1002/2017WR021536

41. Blum M., D. Nestel, Y. Cohen, E. Goldshtein, D. Helman, and I. M. Lensky, 2018: Predicting H. armigera pest population dynamics with a time-age insect population model driven by satellite data. Ecological Modelling, 369, 1-12. doi:10.1016/j.ecolmodel.2017.12.019

2017

40. Tubi A., U. Dayan, and I. M. Lensky, 2017: Moisture Transport by Tropical Plumes over the Middle East: A 30-year Climatology. Quarterly Journal of the Royal Meteorological Society, 143, 3165-3176. doi:10.1002/qj.3170

39. Weil G., I. M. Lensky, Yehezkel S. Resheff and N. Levin, 2017: Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species using Feature Selection. Remote Sensing, 9, 1130; doi:10.3390/rs9111130.

38. Helman, D., Lensky, I. M., Osem, Y., Rohatyn, S., Rotenberg, E., and Yakir, D., 2017: A biophysical approach using drought stress factor for daily estimations of evapotranspiration and CO₂ uptake in high-energy water-limited environments, Biogeosciences, 14, 3909-3926, https://doi.org/10.5194/bg-14-3909-2017.

37. Weil G., I. M. Lensky, and N. Levin, 2017: Using ground observations of a digital camera in the VIS-NIR range for quantifying the phenology of Mediterranean woody species. International Journal of Applied Earth Observation and Geoinformation, 62, 88-101. doi:10.1016/j.jag.2017.05.016

36. Rose J., Y. Nachum-Biala, K. Mumcuoglu, M. A. Alkhamis, A. Ben-Nun, I. Lensky, E. Klement, A. Nasereddin, Z. A. Abdeen, S. Harrus, 2017: Genetic characterization of spotted fever group rickettsiae in questing Ixodid ticks collected in Israel and environmental risk factors for their infection. Parasitology, 144(8), 1088-1101. doi:10.1017/S0031182017000336

2016

35. Helman D., Y. Osem, D. Yakir, and I. M. Lensky 2017: Relationships between climate, topography, water use and productivity in two key Mediterranean forest types with different water- use strategies. Agricultural and Forest Meteorology, 232, 319-330. doi:10.1016/j.agrformet.2016.08.018

34. Kahana-Sutin E., E. Klement, I. Lensky, and Y. Gottlieb, 2017: High relative abundance of the stable fly Stomoxys calcitrans is associated with Lumpy Skin Disease outbreaks in Israeli dairy farms. Medical and Veterinary Entomology. 31, 150-160. doi:10.1111/mve.12217

33. Helman D., I. M. Lensky, D. Yakir, and Y. Osem 2017: Forests growing under dry conditions have higher hydrological resilience to drought than do more humid forests. Glob Change Biol. 23, 2801-2817. doi:10.1111/gcb.13551.

2015

32. Helman D., I. M. Lensky, N. Tessler  and Y. Osem, 2015: A phenology-based method for monitoring annual and perennial vegetation in Mediterranean forests from NDVI time series. Remote Sensing, 2015, 7(9), 12314-12335; doi:10.3390/rs7091231

31. Helman D., A. Givati, and I. M. Lensky, 2015: Annual evapotranspiration retrieved from satellite vegetation indices for the Eastern Mediterranean at 250 m spatial resolution. Atmospheric Chemistry and Physics, 15, 12567-12579. doi:10.5194/acp-15-12567-2015

30. Blum M., I. M. Lensky, P. Rempoulakis and D. Nestel, 2015: Modeling insect population fluctuations with satellite land surface temperature. Ecological Modeling. 311, 39-47.  doi:10.1016/j.ecolmodel.2015.05.005

29. Ordano M., I. Engelhard, P. Rempoulakis, E. Nemny-Lavy, M. Blum, S. Yasin, I. M. Lensky, N. T. Papadopoulos, and D. Nestel, 2015: Olive fruit fly (Bactrocera oleae) population dynamics in the Eastern Mediterranean: Influence of exogenous uncertainty on a monophagous frugivorous insect. PLoS ONE 10(5): e0127798. doi:10.1371/journal. pone.0127798 

28. Rotem-Mindali O., Y. Michael, D. Helman, and I. M. Lensky, 2015: The role of local land-use on the urban heat island effect of Tel Aviv as assessed from satellite remote sensing. Applied Geography, 56, 145-153. doi:10.1016/j.apgeog.2014.11.023

27. Lensky, I. M., and U. Dayan, 2015: Satellite observations of land surface temperature patterns induced by synoptic circulation. International Journal of Climatology. 35(2), 189-195. doi: 10.1002/joc.3971

26. Mussery A., S. Leu, A. Budovsky, and I. M. Lensky, 2015: Plant-Soil Interactions and Desertification: A Case Study in the Northern Negev, Israel. Arid Land Research and Management, 29(1),  doi:10.1080/15324982.2014.933455

2014

25. Steinman A., Aharonson-Raz, K., S. E. Blum, A. Shnaiderman, E. Klement, I. M. Lensky, D. W. Horohov, A. E. Page, 2014: Demographic and Environmental Risk Factors for Exposure to Lawsonia intracellularis in Horses in Israel. Journal of Equine Veterinary Science, 34, 641-646.      doi:10.1016/j.jevs.2013.12.003

24. Helman, D., I. M. Lensky, A. Mussery, S. Leu, 2014: Rehabilitating degraded drylands by creating woodland islets: Assessing long-term effects on aboveground productivity and soil fertility, Agricultural and Forest Meteorology, 195–196, 52-60, doi: 10.1016/j.agrformet.2014.05.003.

23. Aharonson-Raz, K., A. Rapoport, I. M. Hawari, I. M. Lensky, D. Berlin, D. Zivotofsky, E. Klement, A. Steinman, 2014: Novel description of force of infection and risk factors associated with Theileria equi in horses in Israel and in The Palestinian Authority. Ticks Tick-borne Dis., 5(4), 366-372. doi: org/10.1016/j.ttbdis.2014.01.002

22. Helman D., A. Mussery, I. M. Lensky, and S. Leu, 2014: Detecting changes in biomass productivity in a different land management regimes in drylands using satellite‐derived vegetation index. Soil Use and Management. 30, 32-39. doi: 10.1111/sum.12099

2013

21. Nehorai R., N. Lensky, S. Brenner and I. M. Lensky, 2013: The Dynamics of the Skin Temperature of the Dead Sea. Advances in Meteorology, 2013, 296714. doi:10.1155/2013/296714

20. Nehorai R., I. M. Lensky, L. Hochman, I. Gertman, S. Brenner, A. Muskin, and N. G. Lensky, 2013: Satellite Observations of Turbidity in the Dead Sea. J. Geophys. Res., 118(6), 3146–3160. doi:10.1002/jgrc.20204

19. Blum, M., I. M. Lensky, and D. Nestel, 2013: Estimation of olive grove canopy temperature from MODIS thermal imagery is more accurate than interpolation from meteorological stations. Agricultural and Forest Meteorology, 176, 90-93. doi:10.1016/j.agrformet.2013.03.007

18. Mussery, A., S. Leu, I. Lensky and A. Budovsky, 2013: The Effect of Planting Techniques on Arid Ecosystems in the Northern Negev. Arid Land Research and Management, 27, 90-100. doi:10.1080/15324982.2012.719574

2012

17. Morag, N., E. Klement, Y. Saroya, I. M. Lensky, and Y. Gottlieb, 2012: Prevalence of the symbiont Cardinium in Culicoides (Diptera: Ceratopogonidae) vector species is associated with land surface temperature. FASEB Journal  fj.12-210419; doi:10.1096/fj.12-210419

16. Goldstein E., Y. Cohen, A. Hetzroni, I. M. Lensky, U. Zig, and L. Tsror (Lahkim), 2012: A knowledge-based prediction model of Verticillium dahliae and its use for rational crop rotation. Computers and Electronics in Agriculture, 85, 112-122. doi: 10.1016/j.compag.2012.02.011

15. Steinman A., T. Zimmerman, E. Klement, I. M. Lensky, D. Berlin, Y. Gottlieb, G. Baneth, 2012: Demographic and environmental risk factors for infection by Theileria equi in 590 horses in Israel. Veterinary Parasitology, 187, 558-562. doi:10.1016/j.vetpar.2012.01.018

14. Lensky, I. M., and U. Dayan, 2012: Continuous detection and characterization of the sea breeze in clear sky conditions using Meteosat Second Generation. Atmos. Chem. Phys., 12, 6505–6513. doi:10.5194/acp-12-6505-2012

2011 -

13. Lensky, I. M., and U. Dayan, 2011: Detection of fine-scale climatic features from satellites and possible implications for Agricultural Planning. Bull. Amer. Meteor. Soc., 92, 1131-1136. doi:10.1175/2011BAMS3160.1

12. Drori, R., and I. M. Lensky, 2010: Monitoring the evolution of cloud phase profile using MSG data, Atmospheric Research, 97, 577-582. doi:10.1016/j.atmosres.2010.05.009.

11. Nehorai, R., I. M. Lensky, N. G. Lensky, and S. Shiff 2009: Remote sensing of the Dead Sea surface temperature. J. Geophys. Res., 114, C05021, doi:10.1029/2008JC005196.

10. Lensky, I. M., and D. Rosenfeld, 2008: Clouds-Aerosols-Precipitation Satellite Analysis Tool (CAPSAT). Atmos. Chem. Phys., 8, 6739-6753. doi:10.5194/acp-8-6739-2008

9. Lensky, I. M., and V. Levizzani, 2008: Estimation of precipitation from space based platforms. In: Precipitation: Advances in measurement, estimation and prediction. S. Michaelides, Ed., Springer, 193-216. doi:10.1007/978-3-540-77655-0_8

8. Lensky, I. M., and S. Shiff, 2007: Using MSG to monitor the evolution of severe convective storms over East Mediterranean sea and Israel, and its response to aerosol loading. Adv. Geosci., 12, 95–100.

7. Lensky, I. M., and R. Drori, 2007: A Satellite-Based Parameter to Monitor the Aerosol Impact on Convective Clouds. J. Appl. Meteor. & Clim., 45, 660-666. doi:10.1175/JAM2487.1

6. Rosenfeld, D., I. M. Lensky, J. Peterson, and A. Gingis, 2006: Potential impacts of air pollution aerosols on precipitation in Australia. Clean Air and Environmental Quality, 41, 43-49.

5. Lensky, I. M., and D. Rosenfeld, 2006: The time-space exchangeability of satellite retrieved relations between cloud top temperature and particle effective radius Atmos. Chem. Phys., 6, 2887-2894.

4. Lensky, I. M., and D. Rosenfeld, 2003: A night rain delineation algorithm for infrared satellite data based on microphysical considerations. J. Appl. Meteor. 42, 1218-1226. doi:10.1175/1520-0450(2003)042<1218:ANDAFI>2.0.CO;2

3. Lensky, I. M., and D. Rosenfeld, 2003: Satellite-based insights into precipitation formation processes in continental and maritime convective clouds at nighttime. J. Appl. Meteor, 42, 1227-1233.

2. Rosenfeld, D., and I. M. Lensky, 1998: Satellite-based insights into precipitation formation processes in continental and maritime convective clouds. Bull. Amer. Meteor. Soc., 79, 2457-2476.

1. Lensky, I. M., and D. Rosenfeld, 1997: Estimation of precipitation area and rain intensity based on the microphysical properties retrieved from NOAA AVHRR data. J. Appl. Meteor., 36, 234-242.