Spatio-temporal land-use change modeling, simulation, and prediction have become one of
the critical issues in the last three decades due to uncertainty, structure, flexibility, accuracy …

During the past decades, multiple remote sensing data sources, including nighttime light
images, high spatial resolution multispectral satellite images, unmanned drone images, and …

Unmanned aerial vehicle (UAV) remote sensing has great potential for vegetation mapping
in complex urban landscapes due to the ultra-high resolution imagery acquired at low …

Urban vegetation mapping is critical in many applications, ie, preserving biodiversity,
maintaining ecological balance, and minimizing the urban heat island effect. It is still …

The global availability of high spatial resolution images makes mapping tree species
distribution possible for better management of forest resources. Previous research mainly …

Acquiring seabed, landform or other topographic data in the field of marine ecology has a
pivotal role in defining and mapping key marine habitats. However, accessibility for this kind …

Abstract Information on impervious surface distribution and dynamics is useful for
understanding urbanization and its impacts on hydrological cycle, water management …

Detailed land cover information is valuable for mapping complex urban environments.
Recent enhancements to satellite sensor technology promise fit-for-purpose data …

With more than half of the world population now living in cities and 1.4 billion more people
expected to move into cities by 2030, urban areas pose significant challenges on local …

The latest breed of very high resolution (VHR) commercial satellites opens new possibilities
for cartographic and remote-sensing applications. In fact, one of the most common …