חיפוש מתקדם
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel
Prigojin, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel, Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Levi, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel
Soroker, V., Department of Entomology, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel
Cohen, Y., Institute of Plant Sciences, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel
A methodology to estimate water status of palm trees from aerial thermal images was developed. Deficit irrigation of 80% in three drip-irrigated date-palm plots in the northern Dead Sea region was manipulated during the winter of 2007 and 2008. An uncooled thermal camera was used for extensive aerial imaging to detect palm trees and pure-canopy pixels by using only aerial thermal images. An automatic procedure, based on watershed segmentation analysis, was developed which enabled detection of all palm trees in the thermal images. Two new methods were developed to select palm trees and pure pixels within them: basin-based and pixel-based. From the temperatures of pure-canopy pixels, significant differences were found between palm trees under commercial and deficit irrigation regimes, in all three plots. Automated detection of canopy, based on aerial thermal images, is a key step towards commercial mapping of within-plot water-status variability. A protocol, based on the developed methodology, was suggested for mapping water status variability in a palm plot, and for irrigation scheduling. © 2011 Springer Science+Business Media, LLC.
פותח על ידי קלירמאש פתרונות בע"מ -
הספר "אוצר וולקני"
אודות
תנאי שימוש
Use of aerial thermal imaging to estimate water status of palm trees
13
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel
Prigojin, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel, Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Levi, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel
Soroker, V., Department of Entomology, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel
Cohen, Y., Institute of Plant Sciences, Agricultural Research Organization (ARO), 50250 Bet Dagan, Israel
Use of aerial thermal imaging to estimate water status of palm trees
A methodology to estimate water status of palm trees from aerial thermal images was developed. Deficit irrigation of 80% in three drip-irrigated date-palm plots in the northern Dead Sea region was manipulated during the winter of 2007 and 2008. An uncooled thermal camera was used for extensive aerial imaging to detect palm trees and pure-canopy pixels by using only aerial thermal images. An automatic procedure, based on watershed segmentation analysis, was developed which enabled detection of all palm trees in the thermal images. Two new methods were developed to select palm trees and pure pixels within them: basin-based and pixel-based. From the temperatures of pure-canopy pixels, significant differences were found between palm trees under commercial and deficit irrigation regimes, in all three plots. Automated detection of canopy, based on aerial thermal images, is a key step towards commercial mapping of within-plot water-status variability. A protocol, based on the developed methodology, was suggested for mapping water status variability in a palm plot, and for irrigation scheduling. © 2011 Springer Science+Business Media, LLC.
Scientific Publication
You may also be interested in