Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Koeva, M.N."'
Autor:
Khawte, Sharvi Samir, Koeva, M.N., Gevaert, C.M., Oude Elberink, S.J., Pedro, A.Aguiar, Aleksandrov, M., Barton, J., Zlatanova, S.
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 17th 3D GeoInfo Conference, XLVIII-4/W4-2022, 75-81
Favelas are the most common type of informal settlements found in Brazil. The Housing Secretariat, City Hall, Sao Paulo, has conducted surveys using Unmanned Aerial Vehicles (UAVs) for the favelas to facilitate the slum upgrading projects and has tak
Publikováno v:
Remote sensing, 15(11):2924. MDPI
Cultural heritage is under tremendous pressure in the rapidly growing and transforming cities of the global south. Historic cities and towns are often faced with the dilemma of having to preserve old monuments while responding to the pressure of adap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::cc787fb1c0da23c9a969199533450e93
https://research.utwente.nl/en/publications/f54e210c-41eb-4593-9dce-2b32c85430d1
https://research.utwente.nl/en/publications/f54e210c-41eb-4593-9dce-2b32c85430d1
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 17th 3D GeoInfo Conference, 48, 29-36
The increased number of city networks such as 100 Resilient Cities, proves the importance of making cities disaster resilient. The major difficulty on this trajectory is the interrelated components in urban systems that influence each other and incre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1ab64006c1117a5127958172b105a96
https://research.utwente.nl/en/publications/28160eea-caca-46f3-b089-b258e80dfdb3
https://research.utwente.nl/en/publications/28160eea-caca-46f3-b089-b258e80dfdb3
Autor:
Amiranti, Arsha Yuditha, Koeva, M.N., Kuffer, M., van Altena, V., Post, Mark, Paparoditis, N., Mallet, C., Lafarge, F., Zlatanova, S., Dragicevic, S., Sithole, G., Agugiaro, G., Arsanjani, J.J., Boguslawski, P., Breunig, M., Brovelli, M.A., Christophe, S., Coltekin, A., Delavar, M.R., Al Doori, M., Guilbert, E., Fonte, C.C., Haworth, J., Isikdag, U., Ivanova, I., Kang, Z., Khoshelham, K., Koeva, M., Kokla, M., Liu, Y., Madden, M., Mostafavi, M.A., Navratil, G., Paudyal, D.R., Pettit, C., Spanò, A., Stefanakis, E., Tu, W., Vacca, G., Díaz-Vilariño, L., Wise, S., Wu, H., Zhou, X.G.
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2020, Pp 639-646 (2020)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress, XLIII-B4-2020, 639-646
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress, XLIII-B4-2020, 639-646
This paper presents our contribution to the development of a standardized 3D input data model for solar photovoltaic potential estimation. Presently, different input data and processing steps influence the calculation for estimating the potential of
Autor:
Gursoy Surmeneli, Hicret, Koeva, M.N., Zevenbergen, J.A., Alkan, M., Paparoditis, N., Mallet, C., Lafarge, F., Zlatanova, S., Dragicevic, S., Sithole, G., Agugiaro, G., Arsanjani, J.J., Boguslawski, P., Breunig, M., Brovelli, A., Christophe, S., Coltekin, A., Delavar, M.R., Al Doori, M., Guilbert, E., Fonte, C.C., Haworth, J., Isikdag, U., Ivanova, I., Kang, Z., Khoshelham, K., Koeva, M., Kokla, M., Liu, Y., Madden, M., Mostafavi, M.A., Navratil, G., Paudyal, D.R., Pettit, C., Spanò, A., Stefanakis, E., Tu, W., Vacca, G., Díaz-Vilariño, L., Wise, S., Wu, H., Zhou, X.G.
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2020, Pp 691-698 (2020)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress, XLIII-B4-2020, 691-698
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress, XLIII-B4-2020, 691-698
With the rapid urbanization and the dynamics in land transactions, Turkish cadastre, as in many other countries, is facing challenges in the daily recording of sales, donations, taxations, and mortgages on land. Especially with the modern constructio
Autor:
Kippers, Richard, Koeva, M.N., van Keulen, Maurice, Oude Elberink, S.J., Truong-Hong, L., Che, E., Jia, F., Emamgholian, S., Laefer, D., Vo, A.V.
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVI-4-W4, 49-54
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W4-2021, Pp 49-54 (2021)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W4-2021, Pp 49-54 (2021)
In the past decade, a lot of effort is put into applying digital innovations to building life cycles. 3D Models have been proven to be efficient for decision making, scenario simulation and 3D data analysis during this life cycle. Creating such digit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c68193a26f93e251ff11bdfd25c3efbe
https://research.utwente.nl/en/publications/c0ff145f-3c42-4273-8853-9f515d79cc79
https://research.utwente.nl/en/publications/c0ff145f-3c42-4273-8853-9f515d79cc79
Autor:
Koeva, M.N.
Sub-Saharan Africa has an immense challenge to rapidly and cheaply map millions of unrecognized land rights in the region. Existing approaches for mapping and recording these land rights have failed: land disputes abound, investment is impeded, and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::60ef0f7f06af21cc63b2ed996c2f26d9
https://research.utwente.nl/en/publications/its4land(6283c956-04fb-4504-acde-ccf6d90886e2).html
https://research.utwente.nl/en/publications/its4land(6283c956-04fb-4504-acde-ccf6d90886e2).html
Autor:
Koeva, M.N.
Publikováno v:
STARTPAGE=s1;ENDPAGE=s21;TITLE=None
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::e7e8c9ad4990b640861341261d09739b
https://research.utwente.nl/en/publications/artificial-intelligence-and-virtual-reality-for-land-administration(62bdb25a-9807-4019-9e15-c6a78ee4bcae).html
https://research.utwente.nl/en/publications/artificial-intelligence-and-virtual-reality-for-land-administration(62bdb25a-9807-4019-9e15-c6a78ee4bcae).html
Publikováno v:
Land use policy, 114(105930):105930. Elsevier
Unmanned aerial vehicles (UAVs) are considered an innovative tool for land administration. However, despite the prospects and market opportunities in the domain, there is a gap between experimentation and widespread technology diffusion. In this work