Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/94276
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
dc.creator | Chen, X | en_US |
dc.creator | Liu, M | en_US |
dc.creator | Zhu, X | en_US |
dc.creator | Chen, J | en_US |
dc.creator | Zhong, Y | en_US |
dc.creator | Cao, X | en_US |
dc.date.accessioned | 2022-08-11T02:01:34Z | - |
dc.date.available | 2022-08-11T02:01:34Z | - |
dc.identifier.issn | 0099-1112 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/94276 | - |
dc.language.iso | en | en_US |
dc.publisher | American Society for Photogrammetry and Remote Sensing | en_US |
dc.rights | © 2018 American Society for Photogrammetry and Remote Sensing | en_US |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/). | en_US |
dc.rights | The following publication Chen, X., Liu, M., Zhu, X., Chen, J., Zhong, Y., & Cao, X. (2018). " Blend-then-Index" or" Index-then-Blend": A theoretical analysis for generating high-resolution NDVI time series by STARFM. Photogrammetric Engineering & Remote Sensing, 84(2), 65-73 is available at https://doi.org/10.14358/PERS.84.2.65 | en_US |
dc.title | “Blend-then-Index” or “Index-then-Blend” : a theoretical analysis for generating high-resolution NDVI time series by STARFM | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 65 | en_US |
dc.identifier.epage | 73 | en_US |
dc.identifier.volume | 84 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.doi | 10.14358/PERS.84.2.65 | en_US |
dcterms.abstract | There are two strategies for generating high-resolution vegetation index time series using spatiotemporal data blending methods, named as “Blend-then-Index” (BI) and “Indexthen- Blend” (IB), according to the order of vegetation index calculation and data blending. This study aims to determine which strategy can obtain better results for generating a high-resolution normalized difference vegetation index (NDVI) time series using the spatial and temporal adaptive reflectance fusion model (STARFM). The theoretical error analysis suggests that the more accurate strategy depends on the vegetation growth stages: BI has a smaller error than IB when the NDVI values at the prediction date are higher than the input NDVI values and vice versa. Simulated experiments using Landsat images were conducted to verify the theoretical analysis. This study provides guidelines for producing better high-resolution vegetation index time series using STARFM. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Photogrammetric engineering and remote sensing, Feb. 2018, v. 84, no. 2, p. 65-73 | en_US |
dcterms.isPartOf | Photogrammetric engineering and remote sensing | en_US |
dcterms.issued | 2018-02 | - |
dc.identifier.scopus | 2-s2.0-85041817390 | - |
dc.identifier.eissn | 2374-8079 | en_US |
dc.description.validate | 202208 bckw | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | a1565, LSGI-0326 | - |
dc.identifier.SubFormID | 45442 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; National Key Research and Development Program of China; State Key Laboratory of Earth Surface Processes and Resource Ecology | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6818644 | - |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Chen_Blend-Then-Index.pdf | 14.97 MB | Adobe PDF | View/Open |
Page views
59
Last Week
1
1
Last month
Citations as of Sep 8, 2024
Downloads
293
Citations as of Sep 8, 2024
SCOPUSTM
Citations
31
Citations as of Sep 19, 2024
WEB OF SCIENCETM
Citations
29
Citations as of Jun 20, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.