6533b830fe1ef96bd129679d
RESEARCH PRODUCT
Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring
Jose MorenoJulia Amorós-lópezLuis AlonsoLuis Gómez-chovaGustau Camps-vallsLuis GuanterRaul Zurita-millasubject
Point spread functionGlobal and Planetary ChangeImage fusionManagement Monitoring Policy and LawComposite image filterGeographyRemote sensing (archaeology)Temporal resolutionHigh spatial resolutionComputers in Earth SciencesScale (map)Image resolutionEarth-Surface ProcessesRemote sensingdescription
Abstract 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 applied to other sensor pairs. The potential of the proposed spatial unmixing approach is illustrated in an agricultural monitoring 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-08-01 |