This article brings together the advances of multisource and multitemporal data fusion
approaches with respect to the various research communities and provides a thorough and …

The booming development of remote sensing images in many visual tasks has led to an
increasing demand for obtaining images with more precise details. However, it is impractical …

Satellite time series with high spatial resolution is critical for monitoring land surface
dynamics in heterogeneous landscapes. Although remote sensing technologies have …

Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …

Studies of land surface dynamics in heterogeneous landscapes often require remote
sensing data with high acquisition frequency and high spatial resolution. However, no single …

The success of the supervised classification of remotely sensed images acquired over large
geographical areas or at short time intervals strongly depends on the representativity of the …

Abstract Sentinel-2 and Sentinel-3 are two newly launched satellites for global monitoring.
The Sentinel-2 Multispectral Imager (MSI) and Sentinel-3 Ocean and Land Colour …

In remote sensing (RS), use of single optical sensors is frequently inadequate for practical
Earth observation applications (eg, agricultural, forest, ecology monitoring) due to trade-offs …

Spatiotemporal fusion can provide remote sensing images with both high temporal and high
spatial resolution for earth observation applications. Most of the state-of-the-art models …

Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and
spectral resolutions. In this paper, we propose an integrated framework for the spatio …