Informace o projektu
SUDSOE—CHARACTERIZATION AND SUSTAINABLE USE OF EGYPTIAN DEGRADED SOILS
(SUDSOE)
- Kód projektu
- 295031
- Období řešení
- 1/2012 - 12/2014
- Investor / Programový rámec / typ projektu
-
Evropská unie
- 7. rámcový program EU
- Kapacity
- Fakulta / Pracoviště MU
- Přírodovědecká fakulta
- Spolupracující organizace
-
National Authority for Remote Sensing And Space Sciences
- Odpovědná osoba prof. Abd-Alla Gad
SUDSOE intends to increase the scientific regional leadership, to pursue, transfer, and provide the most advanced
technology in the fields of remote sensing and peaceful application of space sciences applied to the characterization and
sustainable use of Egyptian degraded soils, and build the self-capability to utilize these technologies to support the National
development activities. Such challenges will be achieved through reinforcing its excellence and creativity contributing to
regional economy and social welfare in line with EU2020 Strategy, which sets priorities on developing an economy based on
knowledge and innovation.
NARSS demonstrate high level of human, material and organizational capacity as well several collaboration experiences
with European and African countries, but SWOT analysis indicates some weaknesses to be faced in order to reach the
scientific regional leadership. Based on the SWOT analysis and in accordance with the Work Program of the call, coherent
set of measures are elaborated. Full research potential will be realized in close cooperation with 3 outstanding EU partnering
organisations (POs) in the same S&T domain. The NARSS human will be enhanced by: developing strategic partnership
with POs, by transferring and sharing of experience and knowledge; - recruitment of experienced researchers to prevent
brain drain; - dissemination and promotion of acquired knowledge at national, regional and international level, especially in
the MED region. SUDSOE outcome is related to diverse beneficiaries, such as scientific community, general public, local
authorities, policy makers and diverse stake-holders.
Publikace
Počet publikací: 2
2015
-
Remotely Sensed Soil Data Analysis Using Artificial Neural Networks: A Case Study of El-Fayoum Depression, Egypt
ISPRS International Journal of Geo-Information, rok: 2015, ročník: 4, vydání: 2, DOI
2014
-
Image analysis in remote sensing of soils
Rok: 2014, druh: Další prezentace na konferencích