Data about points of interest (POI) have been widely used in studying urban land use types
and for sensing human behavior. However, it is difficult to quantify the correct mix or the …

This paper presents a novel method for delineating urban functional areas based on
building-level social media data. Our method assumes that social media activities in …

In light of the need for fine-grained, accurate, and timely urban land use information, a per-
field classification approach was proposed in this paper to automatically map fine-grained …

Urbanization and modernization accelerate the evolution of urban morphology with the
formation of different functional regions. To develop a smart city, how to efficiently identify the …

Outdoor air pollution is a serious environmental problem in many developing countries;
obtaining timely and accurate information about urban air quality is a first step toward air …

Land cover classification is the most important element of land cover mapping and is a key
input to many societal benefits. Traditional classification methods require a large amount of …

In today's era of big data, huge amounts of spatial-temporal data are generated daily from all
kinds of citywide infrastructures. Understanding and predicting accurately such a large …

O Sensoriamento Social é umaárea de pesquisa emergente devidoá quantidade de
informaçõesúteis que são fornecidas pelos usuários de redes sociais. Vários trabalhos na …