A Spectral Unmixing Model for the Integration of Multi-Sensor Imagery: A Tool to Generate Consistent Time Series Data

A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion

(2015) Caroline M. Gevaert et al.   REMOTE SENSING OF ENVIRONMENT

Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of “Index-then-Blend” and “Blend-then-Index” Approaches

(2014) Abdollah Jarihani et al.   Remote Sensing

Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring

(2013) Julia Amorós-López et al.   International Journal of Applied Earth Observation and Geoinformation

Validation of the MODIS reflectance product under UK conditions

(2013) H. Khavarian et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data

(2013) Wei Zhang et al.   Remote Sensing

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   REMOTE SENSING OF ENVIRONMENT

Regularized Multiresolution Spatial Unmixing for ENVISAT/MERIS and Landsat/TM Image Fusion

(2011) Julia Amoros-Lopez et al.   IEEE Geoscience and Remote Sensing Letters

Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping

(2011) Raúl Zurita-Milla et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology

(2011) J.J. Walker et al.   REMOTE SENSING OF ENVIRONMENT

An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

(2010) Xiaolin Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics

(2009) R. Zurita-Milla et al.   REMOTE SENSING OF ENVIRONMENT

A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS

(2009) Thomas Hilker et al.   REMOTE SENSING OF ENVIRONMENT

Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model

(2009) Thomas Hilker et al.   REMOTE SENSING OF ENVIRONMENT