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Ran Pelta
Ran Pelta
Data Scientist at Manna-Irrigation
在 manna-irrigation.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A machine learning approach to detect crude oil contamination in a real scenario using hyperspectral remote sensing
R Pelta, N Carmon, E Ben-Dor
International Journal of Applied Earth Observation and Geoinformation 82, 101901, 2019
392019
Assessing the detection limit of petroleum hydrocarbon in soils using hyperspectral remote-sensing
R Pelta, E Ben-Dor
Remote sensing of environment 224, 145-153, 2019
362019
Spatiotemporal estimation of air temperature patterns at the street level using high resolution satellite imagery
R Pelta, AA Chudnovsky
Science of the Total Environment 579, 675-684, 2017
332017
Kc and LAI Estimations Using Optical and SAR Remote Sensing Imagery for Vineyards Plots
O Beeri, Y Netzer, S Munitz, DF Mintz, R Pelta, T Shilo, A Horesh, ...
Remote Sensing 12 (21), 3478, 2020
322020
Spatio-temporal behavior of brightness temperature in Tel-Aviv and its application to air temperature monitoring
R Pelta, AA Chudnovsky, J Schwartz
Environmental Pollution 208, 153-160, 2016
182016
An exploratory study on the effect of petroleum hydrocarbon on soils using hyperspectral longwave infrared imagery
R Pelta, E Ben-Dor
Remote Sensing 11 (5), 569, 2019
152019
Sentinel-1 to ndvi for agricultural fields using hyperlocal dynamic machine learning approach
R Pelta, O Beeri, R Tarshish, T Shilo
Remote Sensing 14 (11), 2600, 2022
142022
Accuracy of crop coefficient estimation methods based on satellite imagery
O Beeri, R Pelta, T Shilo, S Mey-Tal, J Tanny
Precision agriculture'19, 437-444, 2019
142019
Detecting variability in plant water potential with multi-spectral satellite imagery
O Beeri, S May-tal, Y Raz, R Rud, R Pelta
Proceedings of the 14th International Conference on Precision Agriculture …, 2018
92018
A potter’s wheel from Tel Dalit
R Pelta
Excavations at Tel Dalit. Tel Aviv: Tel Aviv University, Ramot Publishing …, 1996
81996
Forecasting seasonal plot-specific crop coefficient (Kc) protocol for processing tomato using remote sensing, meteorology, and artificial intelligence
R Pelta, O Beeri, R Tarshish, T Shilo
Precision Agriculture 23 (6), 1983-2000, 2022
72022
High Resolution WRF Simulations for the Tel‐Aviv Metropolitan Area Reveal the Urban Fingerprint in the Sea‐Breeze Hodograph
D Avisar, R Pelta, A Chudnovsky, D Rostkier‐Edelstein
Journal of Geophysical Research: Atmospheres 126 (5), e2020JD033691, 2021
72021
An innovative approach to exploit the reflection spectroscopy of liquid characteristics
R Pelta, A Granot, E Ben-Dor
Applied Spectroscopy 72 (4), 643-646, 2018
42018
The potential of multi-and hyperspectral air-and spaceborne sensors to detect crude oil hydrocarbon in soils long after a contamination event
R Pelta, E Ben-Dor
Applied Sciences 9 (23), 5151, 2019
32019
Utilizing Optical Satellite Imagery to Monitor Temporal and Spatial Changes of Crop Water Stress: A Case Study in Alfalfa
O Beeri, R Tarshish, R Pelta, T Shilo
Water 14 (11), 1676, 2022
22022
Assessing infield temporal and spatial variability of leaf water potential using satellite imagery and meteorological data
O Beeri, R Pelta, T Shilo, J Raz, S Mey-tal
Precision agriculture’19, 6647-6666, 2019
22019
115. Estimating Kc on a plot level using remote sensing and artificial intelligence
R Pelta, O Beeri, T Shilo, S Mey-Tal
Precision agriculture'21, 957-963, 2021
12021
System and method for managing irrigation of a field plot for a growing season
R Pelta, O Beeri, T Shilo, S Mey-Tal
US Patent App. 18/012,166, 2023
2023
Evaluation of crop evapotranspiration from the fusion of spectral and SAR data together with various reference evapotranspiration sources
O Beeri, I Kisekka, R Pelta, IR Hoffman, Z Sade, SR Peddinti, T Shilo
Precision agriculture'23, 659-667, 2023
2023
Utilizing Optical Satellite Imagery to Monitor Temporal and Spatial Changes of Crop Water Stress: A Case Study in Alfalfa. Water 2022, 14, 1676
O Beeri, R Tarshish, R Pelta, T Shilo
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
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