Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Syarifuddin Misbari"'
Autor:
Syarifuddin Misbari, Mazlan Hashim
Publikováno v:
Remote Sensing, Vol 8, Iss 3, p 200 (2016)
Satellite remote sensing is an advanced tool used to characterize seagrass biomass and monitor changes in clear to less-turbid waters by analyzing multi-temporal satellite images. Seagrass information was extracted from the multi-temporal satellite d
Externí odkaz:
https://doaj.org/article/eac24e77598a4f598ff6a599ad74bc82
Autor:
Norsaffarina Aziz, Mohammad Adam Adman, Nurud Suria Suhaimi, Syarifuddin Misbari, Ahmad Rizal Alias, Azrina Abd Aziz, Lim Fang Lee, Md Mobarak Hossain Khan
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 1140:012007
The comfort and productivity of workers may be affected differently by the indoor air quality (IAQ) and related risk factors at the office and at home. Sick Building Syndrome (SBS) is one of the health issues usually faced by workers. SBS is generall
Autor:
Syeda Maria Zaidi, Jacqueline Isabella Anak Gisen, Mohamed Eltahan, Qian Yu, Syarifuddin Misbari, Su Kong Ngien
Publikováno v:
Sustainability; Volume 14; Issue 19; Pages: 12624
Incomplete hydro-meteorological data and insufficient rainfall gauges have caused difficulties in establishing a reliable flood forecasting system. This study attempted to adopt the remotely sensed hydro-meteorological data as an alternative to the i
Publikováno v:
Journal of the Indian Society of Remote Sensing. 46:233-248
Integration of satellite remote sensing data and GIS techniques is an applicable approach for landslide mapping and assessment in highly vegetated regions with a tropical climate. In recent years, there have been many severe flooding and landslide ev
Autor:
Mohamad S. Hossain, Samsudin Ahmad, Mazlan Hashim, Syarifuddin Misbari, Tetsuro Hosaka, Shuhei Ito, Nurul Nadiah Yahya, Shinya Numata
Publikováno v:
Marine Policy. 78:18-25
In the coastal waters of Johor Straits, Peninsular Malaysia, the dugongs occur and their habitat suitability model has yet not been attempted, while it could be critical information for developing their conservation strategies. This study derived spa
Autor:
Kamaruzaman Soeed, Nadzri Mohd Reba, Syarifuddin Misbari, Mohd Firdaus Abdul-Wahab, Mohd Farid Muhamad Said, Amin Beirvand Pour, Mazlan Hashim, Abdul Hafidz Omar
Publikováno v:
IGARSS
This article reports on the use of selected spectral image transform technique for detecting and mapping of snow algae growth using multi-temporal Landsat Thematic Mapper (TM), archived from early 80's to the recent Landsat-8 Operational Land Imager
Autor:
Mazlan Hashim, Syarifuddin Misbari
Publikováno v:
Remote Sensing, Vol 8, Iss 3, p 200 (2016)
Remote Sensing
Volume 8
Issue 3
Pages: 200
Remote Sensing
Volume 8
Issue 3
Pages: 200
Satellite remote sensing is an advanced tool used to characterize seagrass biomass and monitor changes in clear to less-turbid waters by analyzing multi-temporal satellite images. Seagrass information was extracted from the multi-temporal satellite d
Autor:
Syarifuddin Misbari, Mazlan Hashim
Publikováno v:
Computational Science and Its Applications--ICCSA 2016 ISBN: 9783319421100
ICCSA (3)
ICCSA (3)
Seagrass distribution is controlled by light availability, especially at the deepest edge of the meadow. Light attenuation due to both natural and anthropogenically-driven processes leads to reduced photosynthesis. Reliability of satellite-based seag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42a443a1947b6e64d836a5c52171a09c
https://doi.org/10.1007/978-3-319-42111-7_21
https://doi.org/10.1007/978-3-319-42111-7_21
Publikováno v:
Journal of Physics: Conference Series. 852:012023
Autor:
Samsudin Ahmad, Mazlan Hashim, Nadzri Mohd Reba, Teruhisa Komatsu, Syarifuddin Misbari, Nurul Nadiah Yahya
Publikováno v:
IGARSS
In this paper, we introduced a new approach for absolute seagrass biomass determination using remote sensing technique. Two-step data processing of satellite remote sensing data was performed, namely: (i) detection and mapping of seagrass occurrence;