Annemarie Schneider

TL;DR: The datasets and algorithms used to create the Collection 5 MODIS Global Land Cover Type product, which is substantially changed relative to Collection 4, are described, with a four-fold increase in spatial resolution and changes in the input data and classification algorithm.

TL;DR: This product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP, and a supervised classification methodology is used that exploits a global database of training sites interpreted from high-resolution imagery in association with ancillary data.

TL;DR: This article examined the similarities and differences in urban form and growth that have occurred across 25 mid-sized cities from different geographical settings and levels of economic development, and revealed four city types: low-growth cities with modest rates of infilling; high-growth city types with rapid, fragmented development; expansive growth cities with extensive dispersion at low population densities.

TL;DR: In this paper, the authors present results from efforts to map the global distribution of urban land use at 500 m spatial resolution using remotely sensed data from the Moderate Resolution Imaging Spectroradiometer (MODIS).

TL;DR: In this paper, the authors presented a new dataset depicting global urban land at 500m spatial resolution based on MODIS data, which exploits temporal and spectral information in one year of MODIS observations, classified using a global training database and an ensemble decision-tree classification algorithm.