الفهرس 
REVIEW OF LITERATUREOnly 14 pages are availabe for public view
 |  | from | 7 |  |  |
| | | from | 7 | | |
Abstract
Amany Farouk Abdelhameed ELwesemy: Assessment of the Spectral characteristics of Different Physiological Stages of some Olive cvs. and its Relation with Productivity. M.Sc. Thesis, Arid Land Agricultural Graduated Studies and Research Institute, Agriculture in Desert and Salt Affected Areas, Faculty of Agriculture, Ain Shams University, 2016.
Remote sensing satellite imagery is the tool to obtain synoptic, multi temporal, dynamic and timely efficient information about any target on Earth. The main objective of the current study is to use space born and field spectroradiometric measurements remotely sensed data to identify spectral signature of different olive cultivars, to link productivity for the olive crop with the different vegetation indices that were calculated from spectral characteristics to predict productivity of each cultivar based on statistical empirical models and finally, to produce olive productivity map from RapidEye satellite image.
This study was carried out in Wadi EL-Natrun city, EL-Behira governorate during the season of 2014. Observation site was thirty feddans cultivated by three cultivars: Picual, Manzanillo and Kalamata. Field spectroradiometric measurements were carried out for the different growth stages (dormancy, flowering, fruit sat, mature and ripening). As the first step of the observation, spectral reflectance pattern of the three cultivars was observed. It was found three cultivars ,the highest spectral reflectance in near infrared bands was Manzanillo cultivar, then Picual cultivar while the lowest reflectance of near infrared was found with Kalamata cultivar. Spectral reflectance data that are released from the different spectral domains (visible, near infra-red and short wave infrared) and vegetation indices that are calculated from spectral reflectance data were used with yield data to produce yield Simple Linear Regression models using (SPSS) software.
Normalized Difference Vegetation Index (NDVI), Modified Chlorophyll Absorption Ration Index (MCARI), Triangular Vegetation Index (TVI), Modified Chlorophyll Absorption Ration Index 1 (MCARI1), Modified Chlorophyll Absorption Ration Index2 (MCARI2), Modified Triangular Vegetation Index2 (MTVI2) Chlorophyll Index (CI) and spectral reflectance from the different spectral domains were for the three cultivars in all stages were used as estimators in the modeling process. It was found that the optimal growth stage for yield prediction was mature stage with Picual and kalamata cultivars while the optimal was fruit sat stage in the case of Manzanillo cultivar. The lowest correlation coefficient was found with dormancy stage with the three observed cultivars. Finally, a yield map was produced through the application of the generated yield prediction models on Rapid- Eye satellite image.
Keywords:
Olive tree, Olive cvs., Spectroradiometer, Spectral characteristics, Vegetation Indices ,Yield prediction.