DOI: 10.1016/j.jag.2012.12.004
Scopus记录号: 2-s2.0-84880318438
论文题名: Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring
作者: Amorós-López J ; , Gómez-Chova L ; , Alonso L ; , Guanter L ; , Zurita-Milla R ; , Moreno J ; , Camps-Valls G
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 132
结束页码: 141
语种: 英语
英文关键词: Crop monitoring
; Image fusion
; Multi-temporal NDVI
; Point-spread function
; Regularized spatial unmixing
Scopus关键词: biomonitoring
; crop yield
; environmental change
; Envisat-1
; image analysis
; land cover
; Landsat thematic mapper
; MERIS
; NDVI
; phenology
; remote sensing
; sensor
; spatial analysis
; spatial resolution
; Albacete [Castilla-La Mancha]
; Castilla-La Mancha
; Spain
英文摘要: Monitoring Earth dynamics using current and future satellites is one of the most important objectives of the remote sensing community. The exploitation of image time series from sensors with different characteristics provides new opportunities to increase the knowledge about environmental changes and to support many operational applications. This paper presents an image fusion approach based on multiresolution and multisensor regularized spatial unmixing. The approach yields a composite image with the spatial resolution of the high spatial resolution image while retaining the spectral and temporal characteristics of the medium spatial resolution image. The approach is tested using images from Landsat/TM and ENVISAT/MERIS instruments, but is general enough to be appliedto other sensor pairs. The potential of the proposed spatial unmixing approach is illustrated in an agriculturalmonitoring application where Landsat temporal profiles from images acquired over Albacete, Spain, in 2004 and 2009 are complemented with MERIS fused images. The resulting spatial resolution from Landsat allows monitoring small and medium size crops at the required scale while the fine spectral and temporal resolution from MERIS allow a more accurate determination of the crop type and phenology as well as capturing rapidly varying land-cover changes. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79875
Appears in Collections: 气候变化事实与影响
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作者单位: Image Processing Laboratory (IPL), Parc Científic, Universitat de València, 46980 Paterna, València, Spain; Institute for Space Sciences, Freie Univertät Berlin, Carl-Heinrich-Becker-Weg 6-10, 12165 Berlin, Germany; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500AE Enschede, Netherlands
Recommended Citation:
Amorós-López J,, Gómez-Chova L,, Alonso L,et al. Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)