Topic outline

  • General

    Hyper-temporal remote sensing to support agricultural monitoring

    The course presents an approach for improved mapping and differentiating spatial-temporal facts at country-level (agro-environmental stratification), using the best remotely sensed data and most modern interpretation/analysis methods.

    Duration:  4 hours Publication Date:  May 2017

    • System Requirements

      The online version of this course runs on the latest versions of Chrome and Safari. In order to access this course on Internet Explorer or Firefox, you must install and enable Adobe Flash player.

      The downloadable version only runs on Windows PC’s and no additional software is needed.

      • Audience

        The course is targeted at a broad range of producers and users of spatial and non-spatial agricultural statistics, analysts and technicians in geo-information organizations; national statistics offices and statistics assessment units of ministries of agriculture, as in early warning units, managers and decision makers will also find interesting ideas and examples in the proposed curricula materials.

        • You will learn about

          • The use of the hyper-temporal time-space domain
          • Vegetation and remote sensing
          • The acquisition and pre-processing of hyper-temporal vegetation (NDVI) data sets
          • The classification of hyper-temporal data
          • How to visualize, interpret and analyze hyper-temporal data sets
          • How to capture and display agricultural statistics, using NDVI-maps