Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where David Helman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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VertINGreen: A Practical Application for Planning and Monitoring Indoor Vertical Green Living Walls Based on Remote Sensing and Machine Learning Models
Yungstein, Y. & Helman, D., 2026, In: Indoor Air. 2026, 1, 5782002.Research output: Contribution to journal › Article › peer-review
Open Access -
Early detection of drought-stressed stands in Mediterranean forests using remote sensing and machine learning classification models in a rainfall exclusion experiment
Yungstein, Y., Fishman, N., Lerner, G., Mulero, G., Michael, Y., Yaakobi, A., Obersteiner, S., Rez, L., Klein, T. & Helman, D., 15 Dec 2025, In: Agricultural and Forest Meteorology. 375, 110855.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Leaf Water Potential in a Mixed Mediterranean Forest from Machine Learning and Unmanned Aerial Vehicle (UAV)-Based Hyperspectral Imaging
Fishman, N., Yungstein, Y., Yaakobi, A., Obersteiner, S., Rez, L., Mulero, G., Michael, Y., Klein, T. & Helman, D., Jan 2025, In: Remote Sensing. 17, 1, 106.Research output: Contribution to journal › Article › peer-review
Open Access9 Scopus citations -
Machine learning models based on hyperspectral imaging for pre-harvest tomato fruit quality monitoring
Fass, E., Shlomi, E., Ziv, C., Glikman, O. & Helman, D., Feb 2025, In: Computers and Electronics in Agriculture. 229, 109788.Research output: Contribution to journal › Article › peer-review
Open Access16 Scopus citations -
No widespread decline in canopy conductance under elevated atmospheric CO2
Wang, G., Xue, B., Knauer, J., Helman, D., Tao, S., Luo, Y., Wang, J., A, Y., Wang, Y., Jin, H., Fang, Q., Wang, Q. & Xiao, J., 15 Aug 2025, In: Agricultural and Forest Meteorology. 371, 110649.Research output: Contribution to journal › Article › peer-review
7 Scopus citations