Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …

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

Floodplains perform diverse functions, including attenuation of fluxes of water, solutes, and
particulate material. Critical details of floodplain storage including magnitude, duration, and …

Monitoring the spatiotemporal dynamics of surface water from remote sensing imagery is
essential for understanding water's impact on the global ecosystem and climate change …

Spatiotemporal quantification of surface water and flooding is essential given that floods are
among the largest natural hazards. Effective disaster response management requires near …

Urbanization significantly accelerates the replacement of natural land-use and land-cover
(LULC) classes, which can raise the temperature and diminish thermal comfort zone (TCZ) …

Optical remote sensing images are a common data sources for surface water monitoring,
while they are easily contaminated by clouds, cloud shadows, terrain shadows, etc …

Spatiotemporal distribution and systematic quantification of surface water and their drivers of
change are critical. However, quantifying this distribution is challenging due to a lack of …

High-frequency monitoring of suspended particulate matter (SPM) concentration can
improve water resource management. Missing high-resolution satellite images could …

The planting year of apple orchard not only determines the fruit output but also provides
information for the governmental management of the fruit industry. However, considering …