Nighttime light (NTL) remote sensing data offer unique capabilities to characterize both the
extent and intensity of human activities and have been extensively used to understand …

Remote Sensing (RS) has been used in urban mapping for a long time; however, the
complexity and diversity of urban functional patterns are difficult to be captured by RS only …

There is a scientific consensus on the need for spatially detailed information on urban
landscapes at a global scale. These data can support a range of environmental services …

Global urban populations are projected to increase by 2.5 billion over the next 30 years. Yet,
there is limited understanding of how this growth will affect urban land expansion (ULE) …

Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for
characterizing urban landscapes, providing a holistic classification approach that takes into …

With the growing demand for food around the world, real-time monitoring is essential to
ensure the quality and safety of food. However, traditional monitoring techniques necessitate …

The lack of efficient, low-cost, distributed energy collection methods is a vital factor restricting
the application of the Internet of Things (IoT) in smart agriculture. This paper proposes a …

Accurately mapping impervious surface dynamics has great scientific significance and
application value for urban sustainable development research, anthropogenic carbon …

Using more than three million Landsat satellite images, this research developed the first
global impervious surface area (GISA) dataset from 1972 to 2019. Based on 120,777 …

Land use land cover (LULC) modeling is considered as the best tool to comprehend and
unravel the dynamics of future urban expansion. The present paper provides a …