Spatiotemporal fusion through the best linear unbiased estimator to generate fine spatial resolution NDVI time series

A flexible spatiotemporal method for fusing satellite images with different resolutions

(2016) Xiaolin Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Bayesian Method for Building Frequent Landsat-Like NDVI Datasets by Integrating MODIS and Landsat NDVI

(2016) Limin Liao et al.   Remote Sensing

Modeling the seasonal dynamics of leaf area index based on environmental constraints to canopy development

(2015) Philip Savoy et al.   AGRICULTURAL AND FOREST METEOROLOGY

Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin

(2015) Gaofei Yin et al.   IEEE Geoscience and Remote Sensing Letters

Multi-temporal, multi-sensor retrieval of terrestrial vegetation properties from spectral–directional radiometric data

(2015) Alijafar Mousivand et al.   REMOTE SENSING OF ENVIRONMENT

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

An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images

(2015) Yuhan Rao et al.   Remote Sensing

Operational Data Fusion Framework for Building Frequent Landsat-Like Imagery

(2014) Peijuan Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data

(2014) Qihao Weng 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

Reconstructing Seasonal Variation of Landsat Vegetation Index Related to Leaf Area Index by Fusing with MODIS Data

(2013) Hankui Zhang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

The CACAO Method for Smoothing, Gap Filling, and Characterizing Seasonal Anomalies in Satellite Time Series

(2013) Aleixandre Verger et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND 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

Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection

(2013) Irina V. Emelyanova et al.   REMOTE SENSING OF ENVIRONMENT

Spatiotemporal Reflectance Fusion via Sparse Representation

(2012) Bo Huang 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

Partitioning the variance between space and time

(2010) Fubao Sun et al.   GEOPHYSICAL RESEARCH LETTERS

Generation and evaluation of gross primary productivity using Landsat data through blending with MODIS data

(2010) Devendra Singh   International Journal of Applied Earth Observation and Geoinformation

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

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

Unmixing-Based Landsat TM and MERIS FR Data Fusion

(2008) R. Zurita-Milla et al.   IEEE Geoscience and Remote Sensing Letters