The increasing availability of satellite data at higher spatial, temporal and spectral
resolutions is enabling new applications in agriculture and economic development …

Accurate and real-time land use/land cover (LULC) maps are important to provide precise
information for dynamic monitoring, planning, and management of the Earth. With the advent …

Wetlands are the most fragile and threatened ecosystems worldwide, and also one of the
most rapidly declining. At the same time wetlands are typically biodiversity hotspots and …

Precise information on tree species composition is critical for forest management and
conservation, but mapping tree species with satellite data over large areas is still a …

Natural infrastructure such as parks, forests, street trees, green roofs, and coastal vegetation
is central to sustainable urban management. Despite recent progress, it remains challenging …

Machine learning methods for satellite data have a range of societally relevant applications,
but labels used to train models can be difficult or impossible to acquire. Self-supervision is a …

Optical and radar satellite time series are synergetic: optical images contain rich spectral
information, while C-band radar captures useful geometrical information and is immune to …

Dense time series of optical satellite imagery describing vegetation activity provide essential
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …

Crop maps are key inputs for crop inventory production and yield estimation and can inform
the implementation of effective farm management practices. Producing these maps at …

Automatic detection of borders using remote sensing images will minimize the dependency
on time-consuming manual input. The lack of field border data sets indicates that current …