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Comparative Analysis on Two Schemes for Synthesizing the High Temporal Landsat-like NDVI Dataset Based on the STARFM Algorithm
Li, Ainong1; Zhang, Wei1; Lei, Guangbin1,2; Bian, Jinhu1,2
Corresponding AuthorLi, Ainong
2015
Source PublicationISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN2220-9964
Volume4Issue:3Pages:1423-1441
SubtypeArticle
AbstractThe NDVI dataset with high temporal and spatial resolution (HTSN) is significant for extracting information about the phenological change of vegetation in regions with a complex earth surface. The Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) has been successfully applied to synthesize the HTSN by fusing the data with different characteristics. Based on the model, there are two different schemes for synthesizing the HTSN. One scheme is that red reflectance and near-infrared (NIR) reflectance are synthesized, respectively, and the HTSN is then obtained through algebraic operation (Scheme 1); the other scheme is that the red and NIR reflectance are used to calculate NDVI, which is directly taken as input data to synthesize the HTSN (Scheme 2). In this paper, taking the hill areas in eastern Sichuan China as a case, the two schemes were compared with each other. Seven Landsat images and time-series MOD13Q1 datasets spanning from October 2001 to February 2003 were used as the test data. The results showed the prediction accuracies of both derived HTSNs by the two different schemes were generally in good agreement, and Scheme 2 was slightly superior to Scheme 1 (R-2: 0.14 < Scheme 1 < 0.53; 0.15 < Scheme 2 < 0.53). Although the two HTSNs showed high temporal and spatial consistence, the small spatiotemporal difference between them had a different influence on different applications. The coincidence rate of cropping intensity extracted from two derived HTSNs was fairly high, reaching up to 93.86%, while the coincidence rate of crop peak dates (i.e., the emerging dates of peaks in an annual time-series NDVI curve) was only 70.95%. Therefore, it is deemed that Scheme 2 can replace Scheme 1 in the application of extracting cropping intensity, so that more calculation time and memory space can be saved. For extracting more quantitative crop phenological information like crop peak dates, more tests are still needed in order to compare the absolute accuracy for both schemes.
KeywordHigh Temporal And Spatial Resolutions Time-series Ndvi Spatial And Temporal Adaptive Reflectance Fusion Model (Starfm) Cropping Intensity Crop Peak Date Hills Area
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.3390/ijgi4031423
WOS Subject ExtendedPhysical Geography ; Remote Sensing
Indexed BySCI
WOS KeywordMODIS SURFACE REFLECTANCE ; TIME-SERIES DATA ; FUSION MODEL ; VEGETATION PHENOLOGY ; BLENDING LANDSAT ; RESOLUTION ; TEMPERATURE ; DYNAMICS ; FOREST
Language英语
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000364411500020
Funding OrganizationCAS(KZZD-EW-TZ-06 ; National Natural Science Foundation project of China(41271433) ; GJHZ201320 ; XDA05050105)
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Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/13841
Collection数字山地与遥感应用中心
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Li, Ainong,Zhang, Wei,Lei, Guangbin,et al. Comparative Analysis on Two Schemes for Synthesizing the High Temporal Landsat-like NDVI Dataset Based on the STARFM Algorithm[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2015,4(3):1423-1441.
APA Li, Ainong,Zhang, Wei,Lei, Guangbin,&Bian, Jinhu.(2015).Comparative Analysis on Two Schemes for Synthesizing the High Temporal Landsat-like NDVI Dataset Based on the STARFM Algorithm.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,4(3),1423-1441.
MLA Li, Ainong,et al."Comparative Analysis on Two Schemes for Synthesizing the High Temporal Landsat-like NDVI Dataset Based on the STARFM Algorithm".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 4.3(2015):1423-1441.
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