Preamble
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.
Regulations
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 members of the Jury for the Jack Dangermond Award are:
- Kate Fickas, ESRI Redlands, USA
- Jamal Jokar Arsanjani, Aalborg University, Denmark
- Michael Leitner, Louisiana State University, Baton Rouge, LA, USA
- Deren Li, Wuhan University, China
- Marguerite Madden, University of Georgia, Athens, GA, USA
The winners of the award
Period 2022-2025
The Jack Dangermond Award – Best Paper 2023
Boonpook W., Tan Y., Nardkulpat A., Torsri K., Torteeka P., Kamsing P., Sawangwit U., Pena J. & Jainaen M.
Deep Learning Semantic Segmentation for Land Use and Land Cover Types Using Landsat 8 Imagery.
https://doi.org/10.3390/ijgi11090471
The Jack Dangermond Award – Best Paper 2022
Georganos S. & Kalogirou S.
A Forest of Forests: A Spatially Weighted and Computationally Efficient Formulation of Geographical Random Forests.
https://doi.org/10.3390/ijgi11090471
Period 2020-2021
The Jack Dangermond Award 2020 - 2021
The winners for the 2020-2021 period are:
Yeboah G, Porto de Albuquerque J, Troilo R, Tregonning G, Perera S, Ahmed SAKS, Ajisola M, Alam O, Aujla N, Azam SI, Azeem K, Bakibinga P, Chen Y-F, Choudhury NN, Diggle PJ, Fayehun O, Gill P, Griffiths F, Harris B, Iqbal R, Kabaria C, Ziraba AK, Khan AZ, Kibe P, Kisia L, Kyobutungi C, Lilford RJ, Madan JJ, Mbaya N, Mberu B, Mohamed SF, Muir H, Nazish A, Njeri A, Odubanjo O, Omigbodun A, Osuh ME, Owoaje E, Oyebode O, Pitidis V, Rahman O, Rizvi N, Sartori J, Smith S, Taiwo OJ, Ulbrich P, Uthman OA, Watson SI, Wilson R, Yusuf R.
Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia.
https://doi.org/10.3390/ijgi10040265
The Jack Dangermond Award – Best Paper 2021
Yeboah G, Porto de Albuquerque J, Troilo R, Tregonning G, Perera S, Ahmed SAKS, Ajisola M, Alam O, Aujla N, Azam SI, Azeem K, Bakibinga P, Chen Y-F, Choudhury NN, Diggle PJ, Fayehun O, Gill P, Griffiths F, Harris B, Iqbal R, Kabaria C, Ziraba AK, Khan AZ, Kibe P, Kisia L, Kyobutungi C, Lilford RJ, Madan JJ, Mbaya N, Mberu B, Mohamed SF, Muir H, Nazish A, Njeri A, Odubanjo O, Omigbodun A, Osuh ME, Owoaje E, Oyebode O, Pitidis V, Rahman O, Rizvi N, Sartori J, Smith S, Taiwo OJ, Ulbrich P, Uthman OA, Watson SI, Wilson R, Yusuf R.
Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia.
https://doi.org/10.3390/ijgi10040265
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.
https://doi.org/10.3390/ijgi9040197
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
https://doi.org/10.3390/ijgi8050213
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
https://doi.org/10.3390/ijgi8050213
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
https://doi.org/10.3390/ijgi7030084
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
https://doi.org/10.3390/ijgi6020051