Urban environments are characterized by different types of materials and land cover surfaces than found in natural landscapes. The analysis of remote sensing data has to consider these unique spectral characteristics. This chapter describes the spectral properties of urban areas, how different urban land cover types are spectrally discriminated, and which sensor configurations are most useful to map urban areas. We also show how new remote sensing technologies improve our capabilities to map urban areas in high spatial and thematic detail
International audienceWith increase of urban population, the cities have an impact more and more imp...
International audienceWith increase of urban population, the cities have an impact more and more imp...
International audienceWith increase of urban population, the cities have an impact more and more imp...
Urban environments are characterized by different types of materials and land cover surfaces than fo...
Scientific contributions from remote sensing over the last fifty years have significantly advanced o...
Many countries share an effort to understand the impact of growing urban areas on the environment. S...
International audienceClassification of land cover in urban areas can play an important role in urba...
International audienceClassification of land cover in urban areas can play an important role in urba...
International audienceClassification of land cover in urban areas can play an important role in urba...
International audienceClassification of land cover in urban areas can play an important role in urba...
In contrast to widely used multispectral data, hyperspectral imagery resolves material-specific spec...
International audienceClassification of land cover in urban areas can play an important role in urba...
International audienceClassification of land cover in urban areas can play an important role in urba...
International audienceWith increase of urban population, the cities have an impact more and more imp...
This paper reviews how remotely sensed data have been used to understand the impact of urbanization ...
International audienceWith increase of urban population, the cities have an impact more and more imp...
International audienceWith increase of urban population, the cities have an impact more and more imp...
International audienceWith increase of urban population, the cities have an impact more and more imp...
Urban environments are characterized by different types of materials and land cover surfaces than fo...
Scientific contributions from remote sensing over the last fifty years have significantly advanced o...
Many countries share an effort to understand the impact of growing urban areas on the environment. S...
International audienceClassification of land cover in urban areas can play an important role in urba...
International audienceClassification of land cover in urban areas can play an important role in urba...
International audienceClassification of land cover in urban areas can play an important role in urba...
International audienceClassification of land cover in urban areas can play an important role in urba...
In contrast to widely used multispectral data, hyperspectral imagery resolves material-specific spec...
International audienceClassification of land cover in urban areas can play an important role in urba...
International audienceClassification of land cover in urban areas can play an important role in urba...
International audienceWith increase of urban population, the cities have an impact more and more imp...
This paper reviews how remotely sensed data have been used to understand the impact of urbanization ...
International audienceWith increase of urban population, the cities have an impact more and more imp...
International audienceWith increase of urban population, the cities have an impact more and more imp...
International audienceWith increase of urban population, the cities have an impact more and more imp...