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Utilizing the venμs red-edge bands for assessing lai in crop fields
Year:
2010
Authors :
Alchanatis, Victor
;
.
Bonfil, David J.
;
.
Cohen, Yafit
;
.
Volume :
38
Co-Authors:
Herrmann, I., Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Israel
Pimstein, A., Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Israel
Karnieli, A., Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Israel
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel
Bonfilc, J.D., Field Crops and Natural Resources Department, Agricultural Research Organization, Gilat Research Center, Israel
Facilitators :
From page:
34
To page:
39
(
Total pages:
6
)
Abstract:
This study aims to explore the potential and advantage of using the red-edge spectral bands of the forthcoming Vegetation and Environmental New micro Spacecraft (VENμS) for assessing Leaf Area Index (LAI) in field crops. Field spectral data were collected from experimental plots of wheat and potato at the northwestern Negev, Israel. These data were resampled to the VENμS bands being used for calculating the Red-Edge Inflection Point (REIP) and the Normalized Difference Vegetation Index (NDVI), which were compared to these same indices calculated with the original wavelengths. The VENμS data were found to be as good predictor of LAI as when using the original (continuous) data. The REIP was found to be significantly better than NDVI for prediction of wheat plants LAI and therefore could potentially be applied for future monitoring field crops LAI by VENμS.
Note:
Related Files :
Crops
field crops
LAI
precision agriculture
Red-edge
remote sensing
Vegetation
Vegetation index
VENμS
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Related Content
More details
DOI :
Article number:
Affiliations:
Database:
Scopus
Publication Type:
Conference paper
;
.
Language:
English
Editors' remarks:
ID:
22675
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:53
Scientific Publication
Utilizing the venμs red-edge bands for assessing lai in crop fields
38
Herrmann, I., Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Israel
Pimstein, A., Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Israel
Karnieli, A., Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Israel
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel
Bonfilc, J.D., Field Crops and Natural Resources Department, Agricultural Research Organization, Gilat Research Center, Israel
Utilizing the venμs red-edge bands for assessing lai in crop fields
This study aims to explore the potential and advantage of using the red-edge spectral bands of the forthcoming Vegetation and Environmental New micro Spacecraft (VENμS) for assessing Leaf Area Index (LAI) in field crops. Field spectral data were collected from experimental plots of wheat and potato at the northwestern Negev, Israel. These data were resampled to the VENμS bands being used for calculating the Red-Edge Inflection Point (REIP) and the Normalized Difference Vegetation Index (NDVI), which were compared to these same indices calculated with the original wavelengths. The VENμS data were found to be as good predictor of LAI as when using the original (continuous) data. The REIP was found to be significantly better than NDVI for prediction of wheat plants LAI and therefore could potentially be applied for future monitoring field crops LAI by VENμS.
Scientific Publication
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