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.
Organisation: Food and Agriculture Organization of the United Nations FAO
Année: 2017
Type: Apprentissage en ligne
Texte intégral disponible à l'adresse: http://www.fao.org/3/i7508e/i7508e.pdf
Langue: English