The Jack Dangermond Award


Jack Dangermond

The publisher of the ISPRS International Journal of Geo-Information (herein referred to as 'the Journal'), MDPI AG and ESRI, have agreed to jointly present "The Jack Dangermond Award"¹ to encourage and stimulate submission of high quality scientific papers by individual authors or groups to the Journal, to promote and advertise the Journal, and to honour the outstanding contributions of Jack Dangermond to research and development in Geospatial Sciences.


The award will be made in accordance with the following regulations:

Article 1

The award, which consists of an ISPRS certificate and a grant of USD 10,000, will be presented every four years to the author(s) of an outstanding paper on one of the topics included in the scope of the Journal. The recipient(s) of the Jack Dangermond Award shall receive the award only once.

Article 2

Candidates for the award shall be authors of a paper written in English, and published exclusively in the Journal during the four-year period from 1 January of a Congress year, to 31 December of the year prior to the next Congress (referred herein as 'the evaluation period'). For multiple authored papers, the grant shall be split equally among the authors; certificates will be given to each.

Article 3

A five-member jury of high scientific standing, whose expertise covers the main topics included in the scope of the Journal, comprising four experts proposed by the Editor-in-Chief of the Journal and one scientist proposed by ESRI, shall be appointed by the ISPRS Council. Jury members shall be designated by ISPRS Council at its last meeting of the year prior to the Congress, for the four-year evaluation period of the award. The Editor-in-Chief of the Journal shall serve as secretary of the jury, without voting rights.

Article 4

The Jury shall select the best paper published in the Journal for each year of the evaluation period (referred to herein as 'best papers'). The author(s) of the best papers shall be announced annually in the Journal, ISPRS eBulletin and ISPRS WEB site. Individuals may receive recognition as authors of best papers more than once. At the end of the four-year evaluation period, the Jury shall select the most outstanding paper of the four best papers of the evaluation period, for receipt of the Jack Dangermond Award. The authors of the three runner-up best papers shall receive a certificate.

Article 5

Members of the Jury and the Editor-in-Chief shall not be eligible to receive the Jack Dangermond Award or 'best paper' award.

Article 6

The Award shall be presented to the recipient(s) by the President of ISPRS and a representative of each sponsor at a plenary session of the Congress.

¹ The name "Jack Dangermond" is used with kind permission from Jack Dangermond.
Approved by the Award Sponsors and ISPRS Council on March 19, 2017

The winners of the award

Period 2020-2023

  • The Jack Dangermond Award – Best Paper 2020
    Juhász L, Novack T, Hochmair HH, Qiao S.
    Cartographic Vandalism in the Era of Location-Based Games – The Case of OpenStreetMap and Pokémon GO. 

    Period 2017-2019

  • The Jack Dangermond Award 2017 - 2019
    The winners for the 2017-2019 period are:
    Florent Poux and Roland Billen
    Voxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods
  • The Jack Dangermond Award – Best Paper 2019
    Florent Poux and Roland Billen
    Voxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods
  • The Jack Dangermond Award – Best Paper 2018
    Ilke Demir, Forest Hughes, Aman Raj, Kaunil Dhruv, Suryanarayana Murthy Muddala, Sanyam Garg, Barrett Doo and Ramesh Raskar
    Generative Street Addresses from Satellite Imagery
  • The Jack Dangermond Award – Best Paper 2017
    Lei Ma, Tengyu Fu, Thomas Blaschke, Manchun Li, Dirk Tiede, Zhenjin Zhou, Xiaoxue Ma and Deliang Chen
    Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers

    Nice 2022
    XXIVth ISPRS Congress:

    June 6-11, 2022
    Nice, FRANCE

    The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

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