Wheat yield estimates using multi-temporal NDVI satellite imagery.
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| Title: | Wheat yield estimates using multi-temporal NDVI satellite imagery. |
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| Authors: | Labus, M. P., Nielsen, G. A., Lawrence, R. L., Engel, R., Long, D. S. |
| Source: | International Journal of Remote Sensing. 10/30/2002, Vol. 23 Issue 20, p4169-4180. 12p. |
| Subjects: | Wheat trade, Remote-sensing images, Crop yields |
| Geographic Terms: | Montana, United States |
| Abstract: | We examined seasonal growth profiles developed from AVHRR-NDVI for estimating wheat yield at regional and farm scales in Montana for the years 1989-1997. Both regions and farms showed strong relationships between wheat yields and integrated NDVI over the entire growing season, and with late-season NDVI parameters. The use of AVHRR-NDVI growth profiles at the regional level provided the strongest yield estimates. At the farm scale, the spatial resolution (1 km[sup 2]) limited the certainty for accurate portrayal of field locations. However, our models provide a basis for further examination of time-series satellite data. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 7461473 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Wheat yield estimates using multi-temporal NDVI satellite imagery. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Labus%2C+M%2E+P%2E%22">Labus, M. P.</searchLink><br /><searchLink fieldCode="AR" term="%22Nielsen%2C+G%2E+A%2E%22">Nielsen, G. A.</searchLink><br /><searchLink fieldCode="AR" term="%22Lawrence%2C+R%2E+L%2E%22">Lawrence, R. L.</searchLink><br /><searchLink fieldCode="AR" term="%22Engel%2C+R%2E%22">Engel, R.</searchLink><br /><searchLink fieldCode="AR" term="%22Long%2C+D%2E+S%2E%22">Long, D. S.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Remote+Sensing%22">International Journal of Remote Sensing</searchLink>. 10/30/2002, Vol. 23 Issue 20, p4169-4180. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wheat+trade%22">Wheat trade</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink><br /><searchLink fieldCode="DE" term="%22Crop+yields%22">Crop yields</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Montana%22">Montana</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We examined seasonal growth profiles developed from AVHRR-NDVI for estimating wheat yield at regional and farm scales in Montana for the years 1989-1997. Both regions and farms showed strong relationships between wheat yields and integrated NDVI over the entire growing season, and with late-season NDVI parameters. The use of AVHRR-NDVI growth profiles at the regional level provided the strongest yield estimates. At the farm scale, the spatial resolution (1 km[sup 2]) limited the certainty for accurate portrayal of field locations. However, our models provide a basis for further examination of time-series satellite data. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/01431160110107653 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 4169 Subjects: – SubjectFull: Wheat trade Type: general – SubjectFull: Remote-sensing images Type: general – SubjectFull: Crop yields Type: general – SubjectFull: Montana Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Wheat yield estimates using multi-temporal NDVI satellite imagery. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Labus, M. P. – PersonEntity: Name: NameFull: Nielsen, G. A. – PersonEntity: Name: NameFull: Lawrence, R. L. – PersonEntity: Name: NameFull: Engel, R. – PersonEntity: Name: NameFull: Long, D. S. IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 10 Text: 10/30/2002 Type: published Y: 2002 Identifiers: – Type: issn-print Value: 01431161 Numbering: – Type: volume Value: 23 – Type: issue Value: 20 Titles: – TitleFull: International Journal of Remote Sensing Type: main |
| ResultId | 1 |
