Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Extracting forest resource information from remotely sensed and ancillary data : use of an expert system

Simple item page
dc.contributor.authorSkidmore, Andrew Kerr
dc.date.accessioned2018-04-23T03:39:04Z
dc.date.available2018-04-23T03:39:04Z
dc.date.copyright1989
dc.date.issued1989
dc.date.updated2018-04-16T04:55:35Z
dc.format.extentxii, 247 leaves
dc.identifier.otherb1727325
dc.identifier.urihttp://hdl.handle.net/1885/142803
dc.language.isoenen_AU
dc.subject.lcshForest mapping Remote sensing Data processing
dc.subject.lcshForest soils Remote sensing Data processing
dc.subject.lcshExpert systems (Computer science)
dc.titleExtracting forest resource information from remotely sensed and ancillary data : use of an expert systemen_AU
dc.typeThesis (PhD)en_AU
dcterms.valid1989en_AU
local.description.notesThesis (Ph.D.)--Australian National University, 1989en_AU
local.identifier.doi10.25911/5d67b45a1dda8
local.identifier.proquestYes
local.mintdoimint
local.type.degreeDoctor of Philosophy (PhD)en_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
b17273250_Skidmore_A_K.pdf
Size:
108.44 MB
Format:
Adobe Portable Document Format
Download

Collections

Open Access Theses

DSpace software copyright © 2002-2026 LYRASIS