An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products

doi:10.3390/rs13040719

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products
	Li, Xiuxia 1; Liang, Shunlin 3; Jin, Huaan 2
刊名	REMOTE SENSING
	2021-02-01
卷号	13 期号:4 页码:20
关键词	LAI NDVI data integration time series similarity
DOI	10.3390/rs13040719
通讯作者	Liang, Shunlin(sliang@umd.edu)
英文摘要	Leaf 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.
资助项目	National Key Research and Development Program of China[2016YFA0600103]
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000624457300001
资助机构	National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/56020]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者	Liang, Shunlin
作者单位	1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Res Ctr Digital Mt & Remote Sensing Applicat, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China 3.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
推荐引用方式 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.