Article: Very high resolution satellite-based monitoring of crop (olive trees) evapotranspiration in precision agriculture Journal: International Journal of Sustainable Agricultural Management and Informatics (IJSAMI) 2020 Vol.6 No.1 pp.22 - 42 Abstract: Remote Sensing contributes through the processing and analysis of very high spatial and spectral resolution time series satellite data to a decision support at field level. In this paper, in the olive tree farms of the Agricultural Association of Messolonghi-Nafpaktia, the extraction of Kc and various vegetation indices, such as chlorophyll and red-edge, are presented aiming at the assessment of crop evapotranspiration and irrigation/fertiliser inflows during a period of 24 months. The methodology includes the generation of red-edge, chlorophyll and FPAR indices based on the second NIR band of WV-2, and clustering. The so-called ETc(satellite) produced by using the reference ETo from FAO-56 Penman-Monteith equation, meteorological data set and Kc(satellite) extracted by NDVI utilising the red-edge and second NIR bands of WV-2, respectively. The dynamic ETd compared with ETc. The applied methodology proved to be very useful for the implementation and verification of AGRO 2.1 and 2.2 standards. Inderscience Publishers - linking academia, business and industry through research

Title: Very high resolution satellite-based monitoring of crop (olive trees) evapotranspiration in precision agriculture

Authors: Nikolaos V. Spyropoulos; Nicolas R. Dalezios; Ioannis Kaltsis; Ioannis N. Faraslis

Addresses: Sigma Geotechnologie, Rumfordstrasse 29, Munich, DE-80469, Germany ' Department of Planning and Regional Development, University of Thessaly, Pedion Areos, Volos GR-38334, Greece ' Protypon SA, Leoforos Vouliagmenis & Dodekanisou 3, Alimos, GR-17456, Greece ' Department of Planning and Regional Development, University of Thessaly, Pedion Areos, Volos GR-38334, Greece

Abstract: Remote Sensing contributes through the processing and analysis of very high spatial and spectral resolution time series satellite data to a decision support at field level. In this paper, in the olive tree farms of the Agricultural Association of Messolonghi-Nafpaktia, the extraction of K_c and various vegetation indices, such as chlorophyll and red-edge, are presented aiming at the assessment of crop evapotranspiration and irrigation/fertiliser inflows during a period of 24 months. The methodology includes the generation of red-edge, chlorophyll and FPAR indices based on the second NIR band of WV-2, and clustering. The so-called ET_c(satellite) produced by using the reference ET_o from FAO-56 Penman-Monteith equation, meteorological data set and K_c(satellite) extracted by NDVI utilising the red-edge and second NIR bands of WV-2, respectively. The dynamic ET_d compared with ET_c. The applied methodology proved to be very useful for the implementation and verification of AGRO 2.1 and 2.2 standards.

Keywords: precision farming; remote sensing; WV-2; red-edge; chlorophyll index; normalised difference vegetation index; NDVI; Penman-Monteith; ET_c; K_c; AGRO.

DOI: 10.1504/IJSAMI.2020.106539

International Journal of Sustainable Agricultural Management and Informatics, 2020 Vol.6 No.1, pp.22 - 42

Received: 13 May 2019
Accepted: 12 Aug 2019
Published online: 09 Apr 2020 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article

Title: Very high resolution satellite-based monitoring of crop (olive trees) evapotranspiration in precision agriculture

Keep up-to-date