Robust and repeatable ruleset development for hierarchical object-based monitoring of revegetation using high spatial and temporal resolution UAS data

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DC Field	Value	Language
dc.contributor.author	Whiteside, T.G.
dc.date.accessioned	2020-02-18T02:29:27Z	-
dc.date.available	2020-02-18T02:29:27Z	-
dc.date.issued	2016
dc.identifier.citation	In: GEOBIA 2016 : Solutions and Synergies., 14 September 2016 - 16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC) .
dc.identifier.uri	http://tailieuso.tlu.edu.vn/handle/DHTL/4939	-
dc.description.abstract	The monitoring of mine site rehabilitation, particularly revegetation, involves assessing biophysical parameters over time to determine success or otherwise. Resource and logistical constraints limit the spatial and temporal scale of standard field-based monitoring methods.
dc.description.uri	https://proceedings.utwente.nl/425/1/Whiteside-Robust%20and%20Repeatable%20Ruleset%20Development%20for%20Hierarchical%20Object-Based%20Monitoring-105.pdf
dc.language	eng
dc.subject	DSM
dc.subject	UAV
dc.subject	aerial photography
dc.subject	multi-temporal data
dc.subject	land cover classification
dc.subject	river floodplains
dc.title	Robust and repeatable ruleset development for hierarchical object-based monitoring of revegetation using high spatial and temporal resolution UAS data
dc.type	BB
dc.date.update	20190109162255.0
dc.date.submitte	130605s2016
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