A contemporary review of land administration, from the perspective of systems maintenance,
is provided. A special emphasis is placed on emerging fit-for-purpose land administration …

This paper presents a new multi-task neural network, called BsiNet, to delineate agricultural
fields from high-resolution satellite images. BsiNet is modified from a Psi-Net by structuring …

Human societies have been reshaping the geomorphology of landscapes for thousands of
years, producing anthropogenic geomorphic features ranging from earthworks and …

Farmland boundary information plays a key role in agricultural remote sensing, and it is of
importance to modern agriculture. We collected the relevant research in this field at home …

Extracting and recognizing buildings from high-resolution remote sensing images faces
many problems due to the complexity of the buildings on the surface. The purpose is to …

In order to transcend the challenge of accelerating the establishment of cadastres and to
efficiently maintain them once established, innovative, and automated cadastral mapping …

There is a growing demand for cheap and fast cadastral mapping methods to face the
challenge of 70% global unregistered land rights. As traditional on-site field surveying is …

The boundary extraction of an object from remote sensing imagery has been an important
issue in the field of research. The automation of farmland boundary extraction is particularly …

The accurate acquisition of farmland information holds paramount importance for effective
agricultural resource monitoring and production management. Traditional semantic …

Small waterbodies sustain susceptible ecosystems and are influenced by variable dynamics
associated with human activities and environmental disturbances. Although remote sensing …