Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/10759
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sinha, Priyakant | en |
dc.contributor.author | Kumar, Lalit | en |
dc.date.accessioned | 2012-07-19T14:32:00Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | The GSTF Journal of Engineering Technology, 1(1), p. 61-66 | en |
dc.identifier.issn | 2251-371X | en |
dc.identifier.issn | 2251-3701 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/10759 | - |
dc.description.abstract | Due to seasonal spectral variability in land-cover of cool temperate climatic conditions, the method that suits best for seasonal land-cover change identification remains uncertain. The study tested 11 different binary change detection methods and compared their capability in detecting land-cover change/no-change information in different seasons. Multi-date Thematic Mapper (TM) data pertaining to different seasons were used for a wide set of change image generation. A relatively new approach was applied for optimal threshold value determination for separation of change/no-change areas. Research indicated that irrespective of the method used, the results using vegetation index change images, particularly Normalized Difference Vegetation Index (NDVI)-based change images outperformed all other tested techniques in change detection process (overall accuracy> 90% and Kappa value> 0.85 for all six change periods). | en |
dc.language | en | en |
dc.publisher | Global Science and Technology Forum (GSTF) | en |
dc.relation.ispartof | The GSTF Journal of Engineering Technology | en |
dc.title | A new technique for seasonal land-cover change analysis using directional brightness differencing | en |
dc.type | Journal Article | en |
dcterms.accessRights | Gold | en |
dc.subject.keywords | Photogrammetry and Remote Sensing | en |
local.contributor.firstname | Priyakant | en |
local.contributor.firstname | Lalit | en |
local.subject.for2008 | 090905 Photogrammetry and Remote Sensing | en |
local.subject.seo2008 | 960504 Ecosystem Assessment and Management of Farmland, Arable Cropland and Permanent Cropland Environments | en |
local.profile.school | Environmental and Rural Science | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | psinha@une.edu.au | en |
local.profile.email | lkumar@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-20120719-113618 | en |
local.publisher.place | Singapore | en |
local.format.startpage | 61 | en |
local.format.endpage | 66 | en |
local.url.open | http://dl6.globalstf.org/index.php/jet/article/view/728 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 1 | en |
local.identifier.issue | 1 | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Sinha | en |
local.contributor.lastname | Kumar | en |
dc.identifier.staff | une-id:psinha | en |
dc.identifier.staff | une-id:lkumar | en |
local.profile.orcid | 0000-0002-9205-756X | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:10954 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | A new technique for seasonal land-cover change analysis using directional brightness differencing | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Sinha, Priyakant | en |
local.search.author | Kumar, Lalit | en |
local.uneassociation | Unknown | en |
local.year.published | 2012 | en |
local.subject.for2020 | 401304 Photogrammetry and remote sensing | en |
local.subject.seo2020 | 180601 Assessment and management of terrestrial ecosystems | en |
Appears in Collections: | Journal Article School of Environmental and Rural Science |
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