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Computer Science

D-Index
43
Citations
9230
World Ranking
7893
National Ranking
76

Overview

Martino Pesaresi is affiliated with the European Commission Joint Research Centre in Belgium. Their research primarily focuses on Environmental Science, with significant contributions to subfields including Global and Planetary Change, Environmental Engineering, Building and Construction, Ecology, and Atmospheric Science.

The main topics of Pesaresi's work cover a range of areas related to land use and remote sensing. These include:

  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • Remote Sensing and Land Use
  • Urban Transport and Accessibility
  • Impact of Light on Environment and Health
  • Remote-Sensing Image Classification

Pesaresi's publication record includes several papers in notable venues. Some of the recent papers are:

  • "Applying the Degree of Urbanisation to the globe: A new harmonised definition reveals a different picture of global urbanisation," 2020, Journal of Urban Economics
  • "Big Earth Data science: an information framework for a sustainable planet," 2020, International Journal of Digital Earth
  • "Global long-term mapping of surface temperature shows intensified intra-city urban heat island extremes," 2021, Global Environmental Change
  • "Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories," 2022, Habitat International
  • "Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data," 2024, International Journal of Digital Earth

Their frequent co-authors include Thomas Kemper, Michele Melchiorri, Christina Corbane, Marcello Schiavina, and Sérgio Freire. These collaborations reflect a diverse network within their research community.

Pesaresi has published in several academic venues, with a majority of their work appearing in the Joint Research Centre (European Commission), the International Journal of Digital Earth, Scientific Data, Data in Brief, and the Journal of Urban Economics.

Best Publications

  • A new approach for the morphological segmentation of high-resolution satellite imagery

    M. Pesaresi;J.A. Benediktsson

  • Classification and feature extraction for remote sensing images from urban areas based on morphological transformations

    J.A. Benediktsson;M. Pesaresi;K. Amason

  • A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results

    Martino Pesaresi;Guo Huadong;Xavier Blaes;Daniele Ehrlich

  • Next-generation Digital Earth

    Michael F. Goodchild;Huadong Guo;Alessandro Annoni;Ling Bian

  • Advances in mathematical morphology applied to geoscience and remote sensing

    P. Soille;M. Pesaresi

  • A Robust Built-Up Area Presence Index by Anisotropic Rotation-Invariant Textural Measure

    Martino Pesaresi;Andrea Gerhardinger;FranÇois Kayitakire

  • The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use

    Stefan Leyk;Andrea E. Gaughan;Andrea E. Gaughan;Susana B. Adamo;Alex de Sherbinin

  • Digital Earth 2020: towards the vision for the next decade

    Max Craglia;Kees de Bie;Davina Jackson;Martino Pesaresi

  • Convolutional neural networks for global human settlements mapping from Sentinel-2 satellite imagery

    Christina Corbane;Vasileios Syrris;Filip Sabo;Panagiotis Politis

  • Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas

    Martino Pesaresi;Christina Corbane;Andreea Julea;Aneta J. Florczyk

  • Unveiling 25 Years of Planetary Urbanization with Remote Sensing: Perspectives from the Global Human Settlement Layer

    Michele Melchiorri;Aneta J. Florczyk;Sergio Freire;Marcello Schiavina

  • Automated global delineation of human settlements from 40 years of Landsat satellite data archives

    Christina Corbane;Martino Pesaresi;Thomas Kemper;Panagiotis Politis

  • Principles and Applications of the Global Human Settlement Layer as Baseline for the Land Use Efficiency Indicator—SDG 11.3.1

    Michele Melchiorri;Martino Pesaresi;Aneta J. Florczyk;Christina Corbane

  • Texture Analysis for Urban Pattern Recognition Using Fine-resolution Panchromatic Satellite Imagery

    Martino Pesaresi

  • Identifying damage caused by the 2008 Wenchuan earthquake from VHR remote sensing data

    Daniele Ehrlich;Huadong Guo;Katrin Molch;J. W. Ma

  • Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping

    Christina Corbane;Martino Pesaresi;Panagiotis Politis;Vasileios Syrris

  • The recognition of road network from high‐resolution satellite remotely sensed data using image morphological characteristics

    C. Zhu;Wen Zhong Shi;M. Pesaresi;L. Liu

  • Big Earth Data Science: an Information Framework for a Sustainable Planet

    Huadong Guo;Stefano Nativi;Dong Liang;Max Craglia

  • Rapid damage assessment of built-up structures using VHR satellite data in tsunami-affected areas

    M. Pesaresi;A. Gerhardinger;F. Haag

  • Urban Observing Sensors

    Q. Weng;P. Gamba;G. Mountrakis;M. Pesaresi

  • GHS-BUILT R2015B - GHS built-up confidence grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2014)

    Martino Pesaresi;Daniele Ehrlich;Aneta Florczyk;Sergio Freire

  • The global human settlement layer from landsat imagery

    M. Pesaresi;D. Ehrlich;A. J. Florczyk;S. Freire

Frequent Co-Authors

Pierre Soille
Pierre Soille Joint Research Centre
Huadong Guo
Huadong Guo Chinese Academy of Sciences
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Michael F. Goodchild
Michael F. Goodchild University of California, Santa Barbara
Richard J. Simpson
Richard J. Simpson La Trobe University
Chao Ren
Chao Ren University of Hong Kong
Luc Feyen
Luc Feyen Stanford University
Hannes Taubenböck
Hannes Taubenböck German Aerospace Center
Alex de Sherbinin
Alex de Sherbinin Columbia University
Alexander Baklanov
Alexander Baklanov University of Copenhagen

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