Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Maarten Pronk"'
Autor:
Maarten Pronk, Aljosja Hooijer, Dirk Eilander, Arjen Haag, Tjalling de Jong, Michalis Vousdoukas, Ronald Vernimmen, Hugo Ledoux, Marieke Eleveld
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract Coastal elevation data are essential for a wide variety of applications, such as coastal management, flood modelling, and adaptation planning. Low-lying coastal areas (found below 10 m +Mean Sea Level (MSL)) are at risk of future extreme wat
Externí odkaz:
https://doaj.org/article/bba3c2d9db30488e9362862b4794e5d4
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2259 (2024)
Digital Elevation Models (DEMs) are a necessity for modelling many large-scale environmental processes. In this study, we investigate the potential of data from two spaceborne lidar altimetry missions, ICESat-2 and GEDI—with respect to their vertic
Externí odkaz:
https://doaj.org/article/7fb7f2523ce24218b9fadabdb476d25c
Publikováno v:
MAB, Vol 93, Iss 11/12, Pp 317-328 (2019)
IFRS 15 Revenue from Contracts with Customers is voor het eerst van toepassing op jaarrekeningen met een boekjaar aanvangend op of na 1 januari 2018. Wij analyseren de effecten van deze nieuwe standaard voor 66 Europese beursgenoteerde ondernemingen.
Externí odkaz:
https://doaj.org/article/4c489f7fe27d423bb749c700dc047266
Autor:
Kees Roozen, Maarten Pronk
Publikováno v:
MAB, Vol 92, Iss 11/12, Pp 309-328 (2018)
IAS 8 bevat de verplichting om informatie te verstrekken over nieuwe standaarden die nog niet toegepast hoeven te worden. In de 2017-jaarrekening geldt dat met name voor IFRS 9 ‘Financial Instruments’ en IFRS 15 ‘Revenue from Contracts with Cus
Externí odkaz:
https://doaj.org/article/21f40cc9bc9b4a6eac0ff9b50990000c
Publikováno v:
Remote Sensing, Vol 12, Iss 17, p 2827 (2020)
No accurate global lowland digital terrain model (DTM) exists to date that allows reliable quantification of coastal lowland flood risk, currently and with sea-level rise. We created the first global coastal lowland DTM that is derived from satellite
Externí odkaz:
https://doaj.org/article/2841019b45cb45af93d293485b85e387
Autor:
Ronald Vernimmen, Aljosja Hooijer, Dedi Mulyadi, Iwan Setiawan, Maarten Pronk, Angga T. Yuherdha
Publikováno v:
Water, Vol 12, Iss 5, p 1486 (2020)
Water management in lowland areas usually aims to keep water tables within a narrow range to avoid flooding and drought conditions. A common water management target parameter is the depth of the canal water table below the surrounding soil surface. W
Externí odkaz:
https://doaj.org/article/e3dc58183796408eb2a1061e0be7581d
Autor:
Ronald Vernimmen, Aljosja Hooijer, Angga T. Yuherdha, Martijn Visser, Maarten Pronk, Dirk Eilander, Rizka Akmalia, Natan Fitranatanegara, Dedi Mulyadi, Heri Andreas, James Ouellette, Warwick Hadley
Publikováno v:
Remote Sensing, Vol 11, Iss 10, p 1152 (2019)
Coastal lowland areas support much of the world population on only a small part of its terrestrial surface. Yet these areas face rapidly increasing land surface subsidence and flooding, and are most vulnerable to future sea level rise. The accurate a
Externí odkaz:
https://doaj.org/article/1337d61fbbb547dcb7d182bd24b7401c
Small and medium-sized reservoirs play an important role in water systems that help cope with climate variability. Although reservoirs and dams are criticized for their negative social and environmental impacts by reducing natural flow variability an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d6cbd73950ce08520f21f558a7073a1
https://doi.org/10.5194/egusphere-egu22-12647
https://doi.org/10.5194/egusphere-egu22-12647
Autor:
Vitali Diaz, Haicheng Liu, Peter van Oosterom, Martijn Meijers, Edward Verbree, Fedor Baart, Maarten Pronk, Thijs van Lankveld
Point cloud is made up of a multitude of three-dimensional (3D) points with one or more attributes attached. Point cloud is the third data paradigm in addition to the well-established object (vector) and gridded (raster) representations, since point
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bd81e47da1c7763856054e2522c27ff
http://resolver.tudelft.nl/uuid:a61918b0-4e20-4aca-95bb-f20229f965f7
http://resolver.tudelft.nl/uuid:a61918b0-4e20-4aca-95bb-f20229f965f7
Publikováno v:
Remote Sensing; Volume 12; Issue 17; Pages: 2827
Remote Sensing, Vol 12, Iss 2827, p 2827 (2020)
Remote Sensing, Vol 12, Iss 2827, p 2827 (2020)
No accurate global lowland digital terrain model (DTM) exists to date that allows reliable quantification of coastal lowland flood risk, currently and with sea-level rise. We created the first global coastal lowland DTM that is derived from satellite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4efd7ed2a04c57857429b94d3ff485c3