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The Spatiotemporal Data Fusion (STDF) Approach: IoT-Based Data Fusion Using Big Data Analytics [PDF]
Sensors, 2021 Enormous heterogeneous sensory data are generated in the Internet of Things (IoT) for various applications. These big data are characterized by additional features related to IoT, including trustworthiness, timing and spatial features.
Dina Fawzy, Sherin Moussa, Nagwa Badr
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BICAR: a new algorithm for multiresolution spatiotemporal data fusion. [PDF]
PLoS ONE, 2012 We introduce a method for spatiotemporal data fusion and demonstrate its performance on three constructed data sets: one entirely simulated, one with temporal speech signals and simulated spatial images, and another with recorded music time series and ...
Kevin S Brown +2 more
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Improving spatiotemporal data fusion method in multiband images by distributing variates [PDF]
Scientific ReportsSeveral spatiotemporal data fusion methods have been developed to generate continuous fine-resolution satellite imagery using widely available datasets.
Yihua Jin +3 more
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Remote Sensing, 2022 With the development of multisource satellite platforms and the deepening of remote sensing applications, the growing demand for high-spatial resolution and high-temporal resolution remote sensing images has aroused extensive interest in spatiotemporal ...
Hongwei Zhang +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Monitoring ice/snow surface temperature (IST) variations with high spatial and temporal resolution data from satellites are essential for research on the mass balance of the Greenland ice sheet (GrIS).
Qing Cheng +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Spatiotemporal fusion of land surface temperature (LST) has a vital significance in studying the temporal and spatial variation of urban heat islands.
Chenlie Shi +4 more
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A COMPARATIVE ANALYSIS OF SPATIOTEMPORAL DATA FUSION MODELS FOR LANDSAT AND MODIS DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODIS surface reflectance, and NDVI. The algorithms included the spatial and temporal adaptive reflectance fusion model (STARFM), sparse representation based ...
K. Hazaymeh, A. Almagbile
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A Rigorously-Incremental Spatiotemporal Data Fusion Method for Fusing Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 The spatiotemporal remote sensing images have significant importance in forest ecological monitoring, forest carbon management, and other related fields. Spatiotemporal data fusion technology of remote sensing images combines high spatiotemporal and high
Weipeng Jing +7 more
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Spatiotemporal Fusion With Only Two Remote Sensing Images as Input
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Spatiotemporal data fusion is an effective way of generating a dense time series with a high spatial resolution. Traditionally, the spatiotemporal fusion models, especially the popular ones such as the spatial and temporal adaptive reflectance fusion ...
Jingan Wu +5 more
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International Journal of Applied Earth Observations and Geoinformation, 2021 Spatiotemporal fusion has provided a feasible way to generate fractional vegetation cover (FVC) data with high spatial and temporal resolution. However, when the currently available spatiotemporal fusion methods are applied over agricultural regions ...
Guofeng Tao +8 more
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