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Selection: Pesaresi:M [4 articles] 

Publications by author Pesaresi:M.
 

A new European settlement map from optical remotely sensed data

  
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 5. (May 2016), pp. 1978-1992, https://doi.org/10.1109/jstars.2015.2485662

Abstract

An application of a general methodology for processing very high-resolution imagery to produce a European Settlement Map (ESM) in support of policy-makers is presented. The process mapped around 10 million km2 of the European continent. The input image data are satellite SPOT-5/6 pan-sharpened multispectral images of 2.5- and 1.5-m spatial resolution, respectively. This is the first time that remote sensing technology demonstrates capability to produce a continental information layer using 2.5-m input images. Moreover, it is the highest resolution continental map ...

 

Development of new open and free multi-temporal global population grids at 250 m resolution

  
In Proceedings of the 19th AGILE International Conference on Geographic Information Science (2016)

Abstract

Global population grids are increasingly required and used for countless applications in analysis, modeling, and policy-making. However, better and comparable global information requires improved geospatial data on population distribution and densities, in particular concerning temporal and spatial resolution and capacity for change assessment. [\n] This paper presents the development of improved global multi-temporal population grids, ...

 

Operating procedure for the production of the global human settlement layer from Landsat data of the epochs 1975, 1990, 2000, and 2014

  
Vol. 27741 EN (2016), https://doi.org/10.2788/253582

Abstract

A new global information baseline describing the spatial evolution of the human settlements in the past 40 years is presented. It is the most spatially global detailed data available today dedicated to human settlements, and it shows the greatest temporal depth. The core processing methodology relies on a new supervised classification paradigm based on symbolic machine learning. The information is extracted from Landsat image records organized in four collections corresponding to the epochs 1975, 1990, 2000, and 2014. The experiment reported ...

 

A global human settlement layer from optical HR/VHR RS data: concept and first results

  
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 6, No. 5. (October 2013), pp. 2102-2131, https://doi.org/10.1109/jstars.2013.2271445

Abstract

A general framework for processing high and very-high resolution imagery in support of a Global Human Settlement Layer (GHSL) is presented together with a discussion on the results of the first operational test of the production workflow. The test involved the mapping of 24.3 million km2 of the Earth surface spread in four continents, corresponding to an estimated population of 1.3 billion people in 2010. The resolution of the input image data ranges from 0.5 to 10 meters, collected by a ...

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