Browser
Data API
Ontology
http://ld-r.org/users
179734cb-0b7b-4e8f-9052-2ad8c2076036
consistsOf
http://gch.utwente.nl/data/course/0eb6e2ad-a830-4392-b09b-bc3d5fbc62dc
General information
Learning outcomes
Structure
Topics
Learning outcomes
use the pre-processed imagery to design and implement a flowchart to create an agro-environmental stratification, that is optimized for a specified purpose.
explain how agro-ecosystems may be mapped and monitored using a selection of hyper-temporal RS-based indices related to vegetation greenness and vigour, evapotranspiration, and rainfall.
identify and evaluate impacts of choices made during the design of the flowchart.
create, document, and defend, a “ready-to-go” spatial-temporal stratification and dataset that underpins the individual Agro-Ecosystems related research interests of the participant.
obtain and pre-process image time series of selected indices, and evaluate how to incorporate their metadata in the pre-processing chain.
Add Property/Value
UNIVERSITY OF TWENTE
Faculty of Geo-Information Science and Earth Observation
GeoCourseHub at Utwente.nl