162
views
0
recommends
+1 Recommend
1 collections
    0
    shares
       
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A Sentinel based agriculture monitoring scheme for the control of the CAP and food security

      Preprint
      In review
      research-article
      Bookmark

            Abstract

            Effective and efficient control of the agrarian obligations imposed by the Common Agricultural Policy (CAP) and the high-level decision making for national and global food security, requires systematic and timely monitoring of the agricultural land. In this study we focus on rice paddy monitoring in South Korea to ultimately deliver food security related information. Food security monitoring demands knowledge at large scales to allow for decision making at the highest level. In this work, we monitor the growth of rice using the TIMESAT solution on a time-series of Normalized Difference Vegetation Index (NDVI), extracting useful metrics with reference to the phenological phases of the crop, but also biomass and yield indicators. TIMESAT requires user provided parameters to define the start and the end of season to then compute the relevant metrics. In order to automate this procedure, the vegetation indices Normalized Difference Water Index (NDWI) and Plant Senescence Reflectance Index (PSRI) are used to develop a data based parameter tuning for TIMESAT.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            7 July 2021
            Affiliations
            [1 ] Institute for Space Applications and Remote Sensing, National Observatory of Athens, I.Metaxa and Vas. Pavlou St, Penteli, 15236 Athens, Greece
            [2 ] Laboratory of Remote Sensing, National Technical University of Athens, Heroon Polytechniou 9, 15780 Zografou, Greece
            Author notes
            Article
            10.14293/S2199-1006.1.SOR-.PPHMESU.v1
            8218fe3e-46db-4cf5-93e5-983d83bd6c07

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .


            All data generated or analysed during this study are included in this published article (and its supplementary information files).
            Remote sensing,Agricultural engineering,General agriculture
            CAP,remote-sensing,phenology-extraction

            Comments

            Comment on this article