נגישות
menu      
חיפוש מתקדם
תחביר
חפש...
הספר "אוצר וולקני"
אודות
תנאי שימוש
ניהול
קהילה:
אסיף מאגר המחקר החקלאי
פותח על ידי קלירמאש פתרונות בע"מ -
Exploring remotely sensed technologies for monitoring wheat potassium and phosphorus using field spectroscopy
Year:
2011
Source of publication :
Field Crops Research
Authors :
בונפיל, דוד
;
.
Volume :
121
Co-Authors:
Pimstein, A., Departamento de Fruticultura y Enología, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna, 4860 Santiago, Chile, The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Negev 84990, Israel
Karnieli, A., The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Negev 84990, Israel
Bansal, S.K., Potash Research Institute of India, Dundahera Delhi-Gurgaon Road, Gurgaon 122001, Haryana, India
Bonfil, D.J., Field Crops and Natural Resources Department, The Institute of Plant Sciences, Agricultural Research Organization, Gilat Research Center, 85280 MP Negev 2, Israel
Facilitators :
From page:
125
To page:
135
(
Total pages:
11
)
Abstract:
Given the importance of potassium (K) and phosphorus (P) contents to wheat yield and grain quality, and the very little experience that has been gained on nutritional monitoring of other than nitrogen using remotely sensed technologies, a study was undertaken to explore the possibility of identifying these mineral stresses using spectral data. Canopy spectra and biophysical data were collected from commercial and experimental fields in India and Israel. Traditional and newly developed vegetation indices, together with Partial Least Squares (PLS) regression models, were calculated in order to predict potassium and phosphorus contents from the wheat canopy spectral data. Results show that the application of PLS and specific narrow bands vegetation indices reached significant levels of accuracy in the retrieval of K and P levels, in comparison to traditional broad band indices. Additionally, it was observed that a significant improvement is obtained when the mineral total content is considered instead of the relative content. Therefore it was suggested that the biomass should also be retrieved from the spectral data. Finally, as very different crop conditions were included in this study, it was possible to confirm that the level of accuracy in the retrieval of K and P levels is related to the quality and variability of the data used for calibrating the models. © 2010 Elsevier B.V.
Note:
Related Files :
accuracy assessment
Biomass
calibration
India
Israel
remote sensing
spectroscopy
Triticum aestivum
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/j.fcr.2010.12.001
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
28179
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:37
Scientific Publication
Exploring remotely sensed technologies for monitoring wheat potassium and phosphorus using field spectroscopy
121
Pimstein, A., Departamento de Fruticultura y Enología, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna, 4860 Santiago, Chile, The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Negev 84990, Israel
Karnieli, A., The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Negev 84990, Israel
Bansal, S.K., Potash Research Institute of India, Dundahera Delhi-Gurgaon Road, Gurgaon 122001, Haryana, India
Bonfil, D.J., Field Crops and Natural Resources Department, The Institute of Plant Sciences, Agricultural Research Organization, Gilat Research Center, 85280 MP Negev 2, Israel
Exploring remotely sensed technologies for monitoring wheat potassium and phosphorus using field spectroscopy
Given the importance of potassium (K) and phosphorus (P) contents to wheat yield and grain quality, and the very little experience that has been gained on nutritional monitoring of other than nitrogen using remotely sensed technologies, a study was undertaken to explore the possibility of identifying these mineral stresses using spectral data. Canopy spectra and biophysical data were collected from commercial and experimental fields in India and Israel. Traditional and newly developed vegetation indices, together with Partial Least Squares (PLS) regression models, were calculated in order to predict potassium and phosphorus contents from the wheat canopy spectral data. Results show that the application of PLS and specific narrow bands vegetation indices reached significant levels of accuracy in the retrieval of K and P levels, in comparison to traditional broad band indices. Additionally, it was observed that a significant improvement is obtained when the mineral total content is considered instead of the relative content. Therefore it was suggested that the biomass should also be retrieved from the spectral data. Finally, as very different crop conditions were included in this study, it was possible to confirm that the level of accuracy in the retrieval of K and P levels is related to the quality and variability of the data used for calibrating the models. © 2010 Elsevier B.V.
Scientific Publication
You may also be interested in