Validation of satellite data through the remote sensing techniques and the inclusion of them into agricultural education pilot programs

Georgios Papadavid; Georgios Kountios; T. Bournaris; Anastasios Michailidis; Diofantos G. Hadjimitsis

doi:10.1117/12.2242911

12 August 2016 Validation of satellite data through the remote sensing techniques and the inclusion of them into agricultural education pilot programs

Georgios Papadavid, Georgios Kountios, T. Bournaris, Anastasios Michailidis, Diofantos G. Hadjimitsis

Author Affiliations +

Proceedings Volume 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016); 96881T (2016) https://doi.org/10.1117/12.2242911
Event: Fourth International Conference on Remote Sensing and Geoinformation of the Environment, 2016, Paphos, Cyprus

Abstract

Nowadays, the remote sensing techniques have a significant role in all the fields of agricultural extensions as well as agricultural economics and education but they are used more specifically in hydrology. The aim of this paper is to demonstrate the use of field spectroscopy for validation of the satellite data and how combination of remote sensing techniques and field spectroscopy can have more accurate results for irrigation purposes. For this reason vegetation indices are used which are mostly empirical equations describing vegetation parameters during the lifecycle of the crops. These numbers are generated by some combination of remote sensing bands and may have some relationship to the amount of vegetation in a given image pixel. Due to the fact that most of the commonly used vegetation indices are only concerned with red-near-infrared spectrum and can be divided to perpendicular and ratio based indices the specific goal of the research is to illustrate the effect of the atmosphere to those indices, in both categories. In this frame field spectroscopy is employed in order to derive the spectral signatures of different crops in red and infrared spectrum after a campaign of ground measurements. The main indices have been calculated using satellite images taken at interval dates during the whole lifecycle of the crops by using a GER 1500 spectro-radiomete. These indices was compared to those extracted from satellite images after applying an atmospheric correction algorithm –darkest pixel- to the satellite images at a pre-processing level so as the indices would be in comparable form to those of the ground measurements. Furthermore, there has been a research made concerning the perspectives of the inclusion of the above mentioned remote satellite techniques to agricultural education pilot programs.

Citation Download Citation

Georgios Papadavid, Georgios Kountios, T. Bournaris, Anastasios Michailidis, and Diofantos G. Hadjimitsis "Validation of satellite data through the remote sensing techniques and the inclusion of them into agricultural education pilot programs", Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 96881T (12 August 2016); https://doi.org/10.1117/12.2242911

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KEYWORDS

Vegetation

Satellites

Agriculture

Earth observing sensors

Remote sensing

Satellite imaging

Field spectroscopy

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