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Multitemporal MERIS data for Agricultural Monitoring in Greece

Leonidas Toulios(1), Alexandros Bourekas(1) and Diofantos Hadjimitsis(2)

(1) National Agricultural Research Foundation (NAGREF), Theofrastou str., 1, 413 35 Larissa, Greece
(2) Frederick Institute of Technology, 7 Yianni Frederickou Street, Nicosia, Cyprus

Abstract

Although MERIS spectrometer was designed primary for monitoring marine and meteorological phenomena and processes, it can also contribute to land surface studies for land and crop monitoring. The objective of this paper is to investigate and present the possibilities of using MERIS sensor multitemporal visible and near infrared spectral data for monitoring and management in agriculture. MERIS medium resolution multispectral data were used in present study. Remote sensing techniques and algorithms were used to make geometric corrections and radiometric enhancements and corrections in initial multispectral data. Multi-crop monitoring within a region was performed in a "medium resolution-multispectral and multitemporal data" concept, which gives valuable information for use in agricultural management. The combination of remote sensing and GIS techniques was used to connect spectral data. Vegetation indices derived from various band combinations in visible and near infrared reflectance were used to estimate crop and natural vegetation status. Results show that vegetation indices are well related with annual irrigated crops. Separate crop identification was not able due to similar reflectance, small parcel size and spatial resolution. For the in-pixel analysis of MERIS data and the comparison with high spatial resolution-multispectral data, other satellite images were used. Results show that the spectral band combinations as well as the MERIS ready products from ESA satellite receivers ground stations can be used for regional scale crop monitoring. The integration of MERIS sensor of the ENVISAT ESA’s satellite multi-spectral and multi-temporal data with ground truth measurements and other spatial data, can improve the biophysical information retrieval of various land cover types and the agricultural management in regional scale.

 

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry