Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Joost C. B. Hoedjes"'
Autor:
Kingsley K. Kumah, Joost C. B. Hoedjes, Noam David, Ben H. P. Maathuis, H. Oliver Gao, Bob Z. Su
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3274 (2021)
Commercial microwave link (MWL) used by mobile telecom operators for data transmission can provide hydro-meteorologically valid rainfall estimates according to studies in the past decade. For the first time, this study investigated a new method, the
Externí odkaz:
https://doaj.org/article/299f65e95f614787864464675579c104
Autor:
Kumah K. Kingsley, Ben H. P. Maathuis, Joost C. B. Hoedjes, Donald T. Rwasoka, Bas V. Retsios, Bob Z. Su
Publikováno v:
Sensors, Vol 21, Iss 10, p 3547 (2021)
This study presents a rain area detection scheme that uses a gradient based adaptive technique for daytime and nighttime rain area detection and correction from reflectance and infrared (IR) brightness temperatures data of the Meteosat Second Generat
Externí odkaz:
https://doaj.org/article/0297453fb3ea422e86adfbec8e2db67f
Autor:
Kingsley K. Kumah, Joost C. B. Hoedjes, Noam David, Ben H. P. Maathuis, H. Oliver Gao, Bob Z. Su
Publikováno v:
Atmosphere, Vol 11, Iss 9, p 884 (2020)
Accurate rainfall detection and estimation are essential for many research and operational applications. Traditional rainfall detection and estimation techniques have achieved considerable success but with limitations. Thus, in this study, the relati
Externí odkaz:
https://doaj.org/article/061c9410d5e6492da3cc6b61db81752d
Autor:
Joost C. B. Hoedjes, André Kooiman, Ben H. P. Maathuis, Mohammed Y. Said, Robert Becht, Agnes Limo, Mark Mumo, Joseph Nduhiu-Mathenge, Ayub Shaka, Bob Su
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 3, Iss 2, Pp 584-598 (2014)
A conceptual flash flood early warning system for developing countries is described. The system uses rainfall intensity data from terrestrial microwave communication links and the geostationary Meteosat Second Generation satellite, i.e., two systems
Externí odkaz:
https://doaj.org/article/798274269957422a8c960ce1bff803e3
Publikováno v:
Remote Sensing, Vol 10, Iss 7, p 1074 (2018)
Advances in remote sensing have led to the use of satellite-derived rainfall products to complement the sparse rain gauge data. Although these products are globally and some regional bias corrected, they often show substantial differences relative to
Externí odkaz:
https://doaj.org/article/fe6aea67660c44c5a0e1a08ee43bf530
Publikováno v:
Remote Sensing, Vol 9, Iss 5, p 430 (2017)
Accurate and consistent rainfall observations are vital for climatological studies in support of better agricultural and water management decision-making and planning. In East Africa, accurate rainfall estimation with an adequate spatial distribution
Externí odkaz:
https://doaj.org/article/8da636afa7f442cab2120071042087f5
Publikováno v:
Journal of Engineering Research and Reports. :64-90
Aim: To evaluate the spatio-temporal soil moisture storage and retention capacities in semi-arid rangeland ecosystem, Maasai Mara National Reserve (MMNR), Kenya Study Design: Randomized complete block design (RCBD) of reference Cosmic Ray Neutron Sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0958f69951b11edc5c5660232246c689
https://doi.org/10.9734/jerr/2021/v20i1217421
https://doi.org/10.9734/jerr/2021/v20i1217421
Publikováno v:
Water, Vol 13, Iss 730, p 730 (2021)
Water, 13(5):730, 1-10. MDPI
Water, 13(5):730, 1-10. MDPI
Over the last two decades, prevalent technologies and Internet of Things (IoT) systems have been found to have potential for carrying out environmental monitoring. The data generated from these infrastructures are readily available and have the poten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cdd13ce24a349a469d2e856165490f3
https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2021/isi/kumah_pow.pdf
https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2021/isi/kumah_pow.pdf
Publikováno v:
Journal of climate, 33(19), 8367-8379. American Meteorological Society
Rainfall variability affects agriculture planning and water resource management. In extreme flood and drought events, lives and property are destroyed. This study aims to improve East Africa’s seasonal rainfall prediction by determining the impact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41abd0ab5e4cd11af5fde4e4a78e8d5f
https://doi.org/10.1175/jcli-d-19-0296.1
https://doi.org/10.1175/jcli-d-19-0296.1
Autor:
H. Oliver Gao, Joost C. B. Hoedjes, Ben H. P. Maathuis, Kingsley K. Kumah, Noam David, Bob Su
Publikováno v:
Remote Sensing, Vol 13, Iss 3274, p 3274 (2021)
Remote sensing, 13(16):3274, 1-17. Multidisciplinary Digital Publishing Institute (MDPI)
Remote Sensing; Volume 13; Issue 16; Pages: 3274
Remote sensing, 13(16):3274, 1-17. Multidisciplinary Digital Publishing Institute (MDPI)
Remote Sensing; Volume 13; Issue 16; Pages: 3274
Commercial microwave link (MWL) used by mobile telecom operators for data transmission can provide hydro-meteorologically valid rainfall estimates according to studies in the past decade. For the first time, this study investigated a new method, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c7b9d54fc65138a0f715544143609cd
https://www.mdpi.com/2072-4292/13/16/3274
https://www.mdpi.com/2072-4292/13/16/3274