Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Lorenz Wendt"'
Autor:
Getachew Workineh Gella, Charlotte Pelletier, Sebastien Lefevre, Lorenz Wendt, Dirk Tiede, Stefan Lang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1701-1718 (2024)
Dwelling information is essential for humanitarian emergency response during or in the aftermath of disasters, especially in temporary settlement areas hosting forcibly displaced people. To map dwellings, the integration of very high-resolution remot
Externí odkaz:
https://doaj.org/article/b60d4d6509f2410888a262b0db140ac8
Publikováno v:
European Journal of Remote Sensing, Vol 54, Iss S1, Pp 127-140 (2021)
The availability and usage of optical very high spatial resolution (VHR) satellite images for efficient support of refugee/IDP (internally displaced people) camp planning and humanitarian aid are growing. In this research, an integrated approach was
Externí odkaz:
https://doaj.org/article/87c59dab389c4e388954f354e5027824
Autor:
Stefan Lang, Petra Füreder, Barbara Riedler, Lorenz Wendt, Andreas Braun, Dirk Tiede, Elisabeth Schoepfer, Peter Zeil, Kristin Spröhnle, Kerstin Kulessa, Edith Rogenhofer, Magdalena Bäuerl, Alexander Öze, Gina Schwendemann, Volker Hochschild
Publikováno v:
European Journal of Remote Sensing, Vol 53, Iss S2, Pp 67-85 (2020)
Humanitarian action has rapidly adopted Earth observation (EO) and geospatial technologies shaping them according to their needs. Protracted crises and large-scale population displacements require up-to-date information in many facets of humanitarian
Externí odkaz:
https://doaj.org/article/7a56ed80325b44a2a80c9474863a458b
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 11226 (2022)
Refugee-dwelling footprints derived from satellite imagery are beneficial for humanitarian operations. Recently, deep learning approaches have attracted much attention in this domain. However, most refugees are hosted by low- and middle-income countr
Externí odkaz:
https://doaj.org/article/e6c66d5134c843fbbbbb3918a8f98d62
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 0, Pp 89-98 (2019)
Stereo imagery from very high-resolution satellite series can be used to create high-resolution digital surface models (DSMs) with sub-meter spatial resolution. Especially when in-orbit tri-stereo acquisitions are available as provided by the Pléiad
Externí odkaz:
https://doaj.org/article/21a087b4e94848899f0c0057ca207a9b
Autor:
Getachew Workineh Gella, Lorenz Wendt, Stefan Lang, Dirk Tiede, Barbara Hofer, Yunya Gao, Andreas Braun
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 689 (2022)
Earth-observation-based mapping plays a critical role in humanitarian responses by providing timely and accurate information in inaccessible areas, or in situations where frequent updates and monitoring are required, such as in internally displaced p
Externí odkaz:
https://doaj.org/article/ecc7363a2c9a4349847f2f14c8a13113
Publikováno v:
GI_Forum. 1:98-106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52e614f7622dd438b71987ffa72ffad4
https://doi.org/10.1553/giscience2022_01_s98
https://doi.org/10.1553/giscience2022_01_s98
Publikováno v:
2022 IEEE Global Humanitarian Technology Conference (GHTC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61473cf4839905bff9cab4b0496a72c8
https://doi.org/10.1109/ghtc55712.2022.9911036
https://doi.org/10.1109/ghtc55712.2022.9911036
Publikováno v:
Transactions in Gis
Within the constraints of operational work supporting humanitarian organizations in their response to the Covid‐19 pandemic, we conducted building extraction for Khartoum, Sudan We extracted approximately 1 2 million dwellings and buildings, using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a65ed148e7d06694dcea6e4a2cf0e98
https://doi.org/10.1111/tgis.12766
https://doi.org/10.1111/tgis.12766
Autor:
Tobias Kugler, Lorenz Wendt
Publikováno v:
GI_Forum. 1:60-67
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0681c025a4636f53c53b77be0a7f00ae
https://doi.org/10.1553/giscience2021_01_s60
https://doi.org/10.1553/giscience2021_01_s60