Zobrazeno 1 - 10
of 153
pro vyhledávání: '"John Van Genderen"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 6, Pp 2092-2108 (2024)
The failures of culverts can result in water and soil loss in the surrounding subsurface, leading to collapses. In densely constructed urban areas, buried culverts are inaccessible and invisible, making Ground Penetrating Radar (GPR) inspection a wid
Externí odkaz:
https://doaj.org/article/7bfdac5b0d9a43bb83281ebac437d0e7
Autor:
Zohreh Masoumi, John van Genderen
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 4, Pp 1212-1236 (2024)
The urban land-use allocation problem is a spatial optimization problem that allocates optimum land-uses to specific land units in urban areas. This problem is an NP (nondeterministic polynomial time)-hard problem because of involving many objective
Externí odkaz:
https://doaj.org/article/c7bc12c91f904b8cae7d27020827ecf7
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 148-163 (2022)
This paper introduces an improved convolutional neural network based on the conventional U-Net for simulating built-up land expansion. The proposed method hires a pixel-wise semantic segmentation approach considering the spatial drivers affecting urb
Externí odkaz:
https://doaj.org/article/c5dd9acc56b246bd8cfbeab9b4268694
Autor:
Jixian Zhang
Publikováno v:
International Journal of Image and Data Fusion. 8:92-93
It is with great pleasure that I am writing this book review for our journal. Both of the authors are members of the international editorial board of the International Journal of Image and Data Fus...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77da043c1a6cf4508c2591a417a62e5e
https://doi.org/10.1080/19479832.2016.1262465
https://doi.org/10.1080/19479832.2016.1262465
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 10, Pp 1093-1114 (2020)
Geoportals are a consolidated web-based solution to provide open spatial data sharing and online geo-information management. Their roles and possible advancements according to the Digital Earth vision and implementation require investigations. This p
Externí odkaz:
https://doaj.org/article/bbb32cb4f139454f9bb3ec854c566356
Autor:
Zohreh Masoumi, John van Genderen
Publikováno v:
Geo-spatial Information Science. :1-25
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b73e8b7915ba41e65c7f3f262f48f88e
https://doi.org/10.1080/10095020.2023.2184729
https://doi.org/10.1080/10095020.2023.2184729
Autor:
Huadong Guo, Jie Liu, Yubao Qiu, Massimo Menenti, Fang Chen, Paul F. Uhlir, Li Zhang, John van Genderen, Dong Liang, Ishwaran Natarajan, Lanwei Zhu, Jiuliang Liu
Publikováno v:
International Journal of Digital Earth, Vol 11, Iss 7, Pp 657-669 (2018)
The Belt and Road initiative has a significant focus on infrastructure, trade, and economic development across a vast region, and it also provides significant opportunities for sustainable development. The combined pressure of climate variability, in
Externí odkaz:
https://doaj.org/article/64ca667fdb4649d8a67859eb644e8b17
Autor:
Mohammad Maleki, Seyed Mohammad Tavakkoli-Sabour, Samira Sadat Saleh, Ehsan Babaee, John van Genderen
Publikováno v:
Geographia Technica. 15:93-105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b59072413a89cd8c818495751698760
https://doi.org/10.21163/gt_2020.152.10
https://doi.org/10.21163/gt_2020.152.10
Autor:
John van Genderen
Publikováno v:
Geo-spatial Information Science, Vol 20, Iss 2, Pp 57-58 (2017)
Externí odkaz:
https://doaj.org/article/0e34e97675924682b60783aaf0266fb7
Autor:
Seyed-Mohammad Tavakkoli-Sabour, Saeid Zare Naghadehi, John van Genderen, Samira-Sadat Saleh, Milad Asadi, Mohammad Maleki
Publikováno v:
ISPRS International Journal of Geo-Information
Volume 10
Issue 8
ISPRS International Journal of Geo-Information, Vol 10, Iss 513, p 513 (2021)
Volume 10
Issue 8
ISPRS International Journal of Geo-Information, Vol 10, Iss 513, p 513 (2021)
A reliable land cover (LC) map is essential for planners, as missing proper land cover maps may deviate a project. This study is focusing on land cover classification and prediction using three well known classifiers and remote sensing data. Maximum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f3d6ac15c75dc81fb766a48239feafa