FAO E-Learning: Geospatial Data for Land Monitoring

In this FAO E-learning Programme on Geospatial Data learn about: 

  • 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

Select a course:

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.

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.

Content

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