IMHE OpenIR  > 数字山地与遥感应用中心
An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products
Li, Xiuxia1; Liang, Shunlin2; Jin, Huaan3
Corresponding AuthorLiang, Shunlin(sliang@umd.edu)
2021-02-01
Source PublicationREMOTE SENSING
Volume13Issue:4Pages:20
AbstractLeaf area index (LAI) and normalized difference vegetation index (NDVI) are key parameters for various applications. However, due to sensor tradeoff and cloud contaminations, these data are often temporally intermittent and spatially discontinuous. To address the discontinuities, this study proposed a method based on spectral matching of 30 m discontinuous values from Landsat data and 500 m temporally continuous values from Moderate-resolution Imaging Spectroradiometer (MODIS) data. Experiments have proven that the proposed method can effectively yield spatiotemporally continuous vegetation products at 30 m spatial resolution. The results for three different study areas with NDVI and LAI showed that the method performs well in restoring the time series, fills in the missing data, and reasonably predicts the images. Remarkably, the proposed method could address the issue when no cloud-free data pairs are available close to the prediction date, because of the temporal information "borrowed" from coarser resolution data. Hence, the proposed method can make better use of partially obscured images. The reconstructed spatiotemporally continuous data have great potential for monitoring vegetation, agriculture, and environmental dynamics.
KeywordLAI NDVI data integration time series similarity
DOI10.3390/rs13040719
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFA0600103]
WOS Research AreaEnvironmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000624457300001
Funding OrganizationNational Key Research and Development Program of China
PublisherMDPI
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Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/56021
Collection数字山地与遥感应用中心
Corresponding AuthorLiang, Shunlin
Affiliation1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
2.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
3.Chinese Acad Sci, Res Ctr Digital Mt & Remote Sensing Applicat, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
Recommended Citation
GB/T 7714
Li, Xiuxia,Liang, Shunlin,Jin, Huaan. An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products[J]. REMOTE SENSING,2021,13(4):20.
APA Li, Xiuxia,Liang, Shunlin,&Jin, Huaan.(2021).An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products.REMOTE SENSING,13(4),20.
MLA Li, Xiuxia,et al."An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products".REMOTE SENSING 13.4(2021):20.
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