Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/5992
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lamb, David | en |
dc.date.accessioned | 2010-05-26T12:05:00Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | Journal of Applied Remote Sensing, 2(1), p. 1-13 | en |
dc.identifier.issn | 1931-3195 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/5992 | - |
dc.description.abstract | The advanced technology in site-specific and spaceborne determination of grain crude protein content (CP) by remote sensing can help optimize the strategies for buyers in aiding purchasing decisions, and help farmers to maximize the grain output by adjusting field nitrogen (N) fertilizer inputs. We performed field experiments to study the relationship between grain quality indicators and foliar nitrogen concentration (FNC). FNC at anthesis stage was significantly correlated with CP, while spectral vegetation index was significantly correlated to FNC. Based on the relationships among nitrogen reflectance index (NRI), FNC and CP, a model for CP prediction was developed. NRI was able to evaluate FNC with a higher coefficient of determination of R²= 0.7302 in Experiment A. The relationship between laboratory measured and remotely sensed FNC had a coefficient of determination of R²=0.7279 in Experiment B. The method developed in this study could contribute towards developing optimal procedures for evaluating wheat grain quality by in situ canopy-reflected spectrum and ASTER image at anthesis stage. | en |
dc.language | en | en |
dc.publisher | International Society for Optical Engineering (SPIE) | en |
dc.relation.ispartof | Journal of Applied Remote Sensing | en |
dc.title | Estimation of winter wheat grain crude protein content from 'in situ' reflectance and advanced spaceborne thermal emission and reflection radiometer image | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1117/1.2968954 | en |
dc.subject.keywords | Photogrammetry and Remote Sensing | en |
local.contributor.firstname | David | en |
local.subject.for2008 | 090905 Photogrammetry and Remote Sensing | en |
local.subject.seo2008 | 820507 Wheat | en |
local.profile.school | Office of Faculty of Science, Agriculture, Business and Law | en |
local.profile.email | dlamb@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 | pes:6769 | en |
local.publisher.place | United States of America | en |
local.format.startpage | 1 | en |
local.format.endpage | 13 | en |
local.identifier.scopusid | 61349189785 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 2 | en |
local.identifier.issue | 1 | en |
local.contributor.lastname | Lamb | en |
dc.identifier.staff | une-id:dlamb | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:6140 | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Estimation of winter wheat grain crude protein content from 'in situ' reflectance and advanced spaceborne thermal emission and reflection radiometer image | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Lamb, David | en |
local.uneassociation | Unknown | en |
local.identifier.wosid | 000264046200035 | en |
local.year.published | 2008 | en |
Appears in Collections: | Journal Article School of Science and Technology |
Files in This Item:
File | Description | Size | Format |
---|
SCOPUSTM
Citations
6
checked on Mar 9, 2024
Page view(s)
1,574
checked on Jun 18, 2023
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.