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Tree Health and Vitality Assessment using Hyperspectral Remote Sensing

Network Rail would like to effectively manage the risk of ash die back and other diseased trees. A PoC has been developed to demonstrate how hyperspectral imagery combined with LiDAR data can be used in analytical models to detect the location, health and vitality of trees (i.e. severity of disease and risk of falling) and a moderate upscaling is being carried out to further test it in different environmental conditions, validation and ground-truthing before it can be deployed. Network Rail would like to deploy a tool at a National Scale, to enable a nationwide tool to manage the risk.

CPV-Code:

77000000

Abgabefrist:

Typ:

Periodic indicative notice without call for competition

Status:

Not applicable

Aufgabe:

Other

Vergabestelle:

name:	Network Rail Infrastructure Ltd
address:	1 Eversholt Street
postal_code:	NW1 2DN
city:	London - UK
country:	UK
email:	None
phone:	+44 7922008876
contact_point:
idate:	1. Oktober 2020 03:42
udate:	1. Oktober 2020 03:42
doc:	431175_2020.xml
authority_types:
activities:

Quelle:

http://ted.europa.eu/udl?uri=TED:NOTICE:431175-2020:TEXT:EN:HTML

Unterlagen:

None

Zuschlagskriterium:

Not applicable

Vertrag:

Services

Prozedur:

Not applicable

Nuts:

None

Veröffentlichung:

14.09.2020

Erfüllungsort:

London -

Link:

Lose:

Name	Los Nr 1
Gewinner	None
Datum
Wert	None
Anzahl Angebote	None

Tree Health and Vitality Assessment using Hyperspectral Remote Sensing

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