| On the use of unmanned aerial systems for environmental monitoring S Manfreda, MF McCabe, PE Miller, R Lucas, V Pajuelo Madrigal, ... Remote sensing 10 (4), 641, 2018 | 667 | 2018 |
| Land surface phenology: What do we really 'see' from space? D Helman Science of the Total Environment, 2018 | 160 | 2018 |
| The role of local land-use on the urban heat island effect of Tel Aviv as assessed from satellite remote sensing O Rotem-Mindali, Y Michael, D Helman, IM Lensky Applied Geography 56, 145-153, 2015 | 142 | 2015 |
| Forecasting fire risk with machine learning and dynamic information derived from satellite vegetation index time-series Y Michael, D Helman, O Glickman, D Gabay, S Brenner, IM Lensky Science of The Total Environment 764, 142844, 2021 | 88 | 2021 |
| A phenology-based method for monitoring woody and herbaceous vegetation in Mediterranean forests from NDVI time series D Helman, IM Lensky, N Tessler, Y Osem Remote Sensing 7 (9), 12314–12335, 2015 | 86 | 2015 |
| Using time series of high-resolution planet satellite images to monitor grapevine stem water potential in commercial vineyards D Helman, I Bahat, Y Netzer, A Ben-Gal, V Alchanatis, A Peeters, ... Remote Sensing 10 (10), 1615, 2018 | 76 | 2018 |
| Relationships between climate, topography, water use and productivity in two key Mediterranean forest types with different water-use strategies D Helman, Y Osem, D Yakir, IM Lensky Agricultural and Forest Meteorology 232, 319-330, 2017 | 71 | 2017 |
| Forests growing under dry conditions have higher hydrological resilience to drought than do more humid forests D Helman, IM Lensky, D Yakir, Y Osem Global Change Biology 23 (7), 2801-2817, 2017 | 66 | 2017 |
| Worldwide continuous gap-filled MODIS land surface temperature dataset S Shiff, D Helman, IM Lensky Scientific Data 8 (1), 74, 2021 | 56 | 2021 |
| Detecting changes in biomass productivity in a different land management regimes in drylands using satellite-derived vegetation index D Helman, A Mussery, IM Lensky, S Leu Soil Use and Management 30, 32-39, 2014 | 50 | 2014 |
| Economic assessment of fire damage to urban forest in the wildland–urban interface using planet satellites constellation images Y Michael, IM Lensky, S Brenner, A Tchetchik, N Tessler, D Helman Remote Sensing 10 (9), 1479, 2018 | 47 | 2018 |
| Dryland mechanisms could widely control ecosystem functioning in a drier and warmer world JM Grünzweig, HJ De Boeck, A Rey, MJ Santos, O Adam, M Bahn, ... Nature ecology & evolution 6 (8), 1064-1076, 2022 | 38 | 2022 |
| Early prediction of wheat grain yield production from root-zone soil water content at heading using Crop RS-Met D Helman, IM Lensky, DJ Bonfil Field Crops Research 232, 11-23, 2019 | 38 | 2019 |
| Global convergence but regional disparity in the hydrological resilience of ecosystems and watersheds to drought B Xue, G Wang, J Xiao, D Helman, W Sun, J Wang, T Liu Journal of Hydrology 591, 125589, 2020 | 34 | 2020 |
| Predicting Heliothis (Helicoverpa armigera) pest population dynamics with an age-structured insect population model driven by satellite data M Blum, D Nestel, Y Cohen, E Goldshtein, D Helman, IM Lensky Ecological Modelling 369, 1-12, 2018 | 31 | 2018 |
| Six decades of warming and drought in the world’s top wheat-producing countries offset the benefits of rising CO2 to yield D Helman, DJ Bonfil Scientific Reports 12 (1), 7921, 2022 | 29 | 2022 |
| Climate has contrasting direct and indirect effects on armed conflicts D Helman, BF Zaitchik, C Funk Environmental Research Letters 15 (10), 104017, 2020 | 29 | 2020 |
| Annual evapotranspiration retrieved from satellite vegetation indices for the eastern Mediterranean at 250 m spatial resolution D Helman, A Givati, IM Lensky Atmospheric Chemistry and Physics 15 (21), 12567-12579, 2015 | 29 | 2015 |
| Rehabilitating degraded drylands by creating woodland islets: Assessing long-term effects on aboveground productivity and soil fertility D Helman, IM Lensky, A Mussery, S Leu Agricultural and forest meteorology 195, 52-60, 2014 | 29 | 2014 |
| Modelling armed conflict risk under climate change with machine learning and time-series data Q Ge, M Hao, F Ding, D Jiang, J Scheffran, D Helman, T Ide Nature communications 13 (1), 2839, 2022 | 28 | 2022 |
Itamar LenskyRemote Sensing Lab, Bar-Ilan UniversityDirección de correo verificada de biu.ac.il
