Reconstructing daily 30 m NDVI over complex agricultural landscapes using a crop reference curve approach

Unsupervised classification of land cover using multi-modal data from multi-spectral and hybrid-polarimetric SAR imageries

(2020) Shashaank Mattur Aswatha et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Spatially and temporally complete Landsat reflectance time series modelling: The fill-and-fit approach

(2020) Lin Yan et al.   REMOTE SENSING OF ENVIRONMENT

A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery

(2020) Feng Gao et al.   REMOTE SENSING OF ENVIRONMENT

Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

(2019) Pedram Ghamisi et al.   IEEE Geoscience and Remote Sensing Magazine

Improving remotely-sensed crop monitoring by NDVI-based crop phenology estimators for corn and soybeans in Iowa and Illinois, USA

(2019) Bumsuk Seo et al.   FIELD CROPS RESEARCH

A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images

(2019) Claudia Paris et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method for producing high spatiotemporal resolution normalized difference vegetation index time series

(2019) Meng Liu et al.   REMOTE SENSING OF ENVIRONMENT

STAIR: A generic and fully-automated method to fuse multiple sources of optical satellite data to generate a high-resolution, daily and cloud-/gap-free surface reflectance product

(2018) Yunan Luo et al.   REMOTE SENSING OF ENVIRONMENT

Field-scale mapping of evaporative stress indicators of crop yield: An application over Mead, NE, USA

(2018) Yang Yang et al.   REMOTE SENSING OF ENVIRONMENT

Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing

(2018) Martha Anderson et al.   Remote Sensing

Improving Spatial-Temporal Data Fusion by Choosing Optimal Input Image Pairs

(2018) Donghui Xie et al.   Remote Sensing

Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions

(2018) et al.   Remote Sensing

The Harmonized Landsat and Sentinel-2 surface reflectance data set

(2018) Martin Claverie et al.   REMOTE SENSING OF ENVIRONMENT

Impact of Tile Drainage on Evapotranspiration in South Dakota, USA, Based on High Spatiotemporal Resolution Evapotranspiration Time Series From a Multisatellite Data Fusion System

(2017) Yun Yang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Smoothing and gap-filling of high resolution multi-spectral time series: Example of Landsat data

(2017) Francesco Vuolo et al.   International Journal of Applied Earth Observation and Geoinformation

Satellite-based assessment of yield variation and its determinants in smallholder African systems

(2017) Marshall Burke et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps

(2017) Xiaodong Li et al.   REMOTE SENSING OF ENVIRONMENT

Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery

(2017) Feng Gao et al.   REMOTE SENSING OF ENVIRONMENT

Investigating water use over the Choptank River Watershed using a multisatellite data fusion approach

(2017) Liang Sun et al.   WATER RESOURCES RESEARCH

Daily Mapping of 30 m LAI and NDVI for Grape Yield Prediction in California Vineyards

(2017) Liang Sun et al.   Remote Sensing

Conterminous United States crop field size quantification from multi-temporal Landsat data

(2016) L. Yan et al.   REMOTE SENSING OF ENVIRONMENT

A flexible spatiotemporal method for fusing satellite images with different resolutions

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

Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time

(2015) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Reconstruction of global MODIS NDVI time series: Performance of Harmonic ANalysis of Time Series (HANTS)

(2015) Jie Zhou 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

Operational Data Fusion Framework for Building Frequent Landsat-Like Imagery

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

Assessing bioenergy-driven agricultural land use change and biomass quantities in the U.S. Midwest with MODIS time series

(2014) Cuizhen Wang et al.   Journal of Applied Remote Sensing

Landsat-8: Science and product vision for terrestrial global change research

(2014) D.P. Roy et al.   REMOTE SENSING OF ENVIRONMENT

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

(2014) Qihao Weng et al.   REMOTE SENSING OF ENVIRONMENT

A Kalman Filter-Based Method to Generate Continuous Time Series of Medium-Resolution NDVI Images

(2014) Fernando Sedano et al.   Remote Sensing

Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

(2013) Douglas K. Bolton et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

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

MODIS-based corn grain yield estimation model incorporating crop phenology information

(2013) Toshihiro Sakamoto et al.   REMOTE SENSING OF ENVIRONMENT

Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX’08 field campaign

(2012) Martha C. Anderson et al.   ADVANCES IN WATER RESOURCES

A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images

(2012) Xiaolin Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Object-based cloud and cloud shadow detection in Landsat imagery

(2011) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

(2011) Claire Boryan et al.   Geocarto International

A Two-Step Filtering approach for detecting maize and soybean phenology with time-series MODIS data

(2010) Toshihiro Sakamoto 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

A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data

(2010) I. Becker-Reshef 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