The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

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

Spatio-temporal fusion (STF) aims at fusing (temporally dense) coarse resolution images
and (temporally sparse) fine resolution images to generate image series with adequate …

Spatiotemporal image fusion is considered as a promising way to provide Earth
observations with both high spatial resolution and frequent coverage, and recently, learning …

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 …

Dense time-series high-resolution satellite images are extremely valuable for long-term
monitoring of land dynamics. Spatiotemporal fusion (STF) techniques have been developed …

Quantifying western US rangelands as a series of fractional components with remote
sensing provides a new way to understand these changing ecosystems. Nine rangeland …

Monitoring agricultural crops is necessary for decision-making in the field. However, it is
known that in some regions and periods, cloud cover makes this activity difficult to carry out …

In recent years, the use of unmanned aerial vehicles (UAVs) has received increasing
attention in remote sensing, vegetation monitoring, vegetation index (VI) mapping, precision …

Owing to the tradeoff between scanning swath and pixel size, currently no satellite Earth
observation sensors are able to collect images with high spatial and temporal resolution …