Stimulating Innovation for
Global Monitoring of Agriculture

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New SIGMA course available online!

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07/06/2017

We are pleased to inform you that a new SIGMA course has been published online in FAO’s E-learning centre.
The new courseHyper-temporal remote sensing to support agricultural monitoring’ is available in in the E-learning centre, category “Geospatial Data for Land 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. You can learnabout:
 
·       Hyper-temporal remote sensing to support agricultural monitoring
·       Remotely Sensed Information for Crop Monitoring and Food Security
·       Methodological aspects of the use of geospatial technology for agriculture statistics
·       Interoperability and standards for sharing spatial data
·       Technology behind Spatial Data Infrastructure
·       Geospatial data and tools for monitoring global environmental trends and changes related to agriculture
 
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.
 
The course consists of 6 lessons, of approximately 30 to 50 minutes duration each:
 
·       Lesson 1 The use of the hyper-temporal time-space domain
·       Lesson 2 Vegetation and remote sensing
·       Lesson 3 Acquisition and pre-processing of hyper-temporal vegetation (NDVI) data sets
·       Lesson 4 Classification of hyper-temporal data
·       Lesson 5 Visualizing, interpreting and analyzing hyper-temporal data sets
·       Lesson 6 Using NDVI-maps to capture and display agricultural statistics
 
For more courses, please take a look at http://www.fao.org/elearning/#/elc/en/courseCategories
 


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