Zobrazeno 1 - 10
of 10
pro vyhledávání: '"MD Latifur Rahman Sarker"'
Publikováno v:
APN Science Bulletin, Vol 2022, Iss 1, Pp 66-74 (2022)
Primary production is a key marine ecosystem driver in the Bay of Bengal and is important for the societies and economies of the surrounding countries. Although the availability of inorganic nutrients is known to control primary production in this re
Externí odkaz:
https://doaj.org/article/a764e7d887de442990995e8a2a74bc3d
Autor:
Eko Siswanto, Md. Latifur Rahman Sarker, Benny N. Peter, Toshihiko Takemura, Takanori Horii, Kazuhiko Matsumoto, Fumikazu Taketani, Makio C. Honda
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Phytoplankton biomass, quantified as the concentration of chlorophyll-a (CHL), is the base of the marine food web that supports fisheries production in the Bay of Bengal (BoB). Nutrients from river discharge, the ocean subsurface layer, and the atmos
Externí odkaz:
https://doaj.org/article/28234b51ff1c46649830d5220178e4b2
Autor:
Baharin Bin Ahmad, Eun-Sung Chung, Md. Latifur Rahman Sarker, Jeffrey S. Reid, Shamsuddin Shahid, Eko Siswanto, Nichol Janet, Siti Aishah Mansor
Publikováno v:
Remote Sensing
Volume 12
Issue 17
Remote Sensing, Vol 12, Iss 2686, p 2686 (2020)
Volume 12
Issue 17
Remote Sensing, Vol 12, Iss 2686, p 2686 (2020)
The occurrence and severity of agricultural droughts may not be dependent upon climatic variables alone. Rather increasingly, drought is affected by human interventions such as irrigation. Anthropogenic activity has introduced uncertainty in the asse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7ab461019052b84f26144702900d72c
http://sro.sussex.ac.uk/id/eprint/93328/3/remotesensing-12-02686-v3.pdf
http://sro.sussex.ac.uk/id/eprint/93328/3/remotesensing-12-02686-v3.pdf
Autor:
Janet Elizabeth Nichol, Md. Latifur Rahman Sarker, Baharin Bin Ahmad, Alias Abdul Rahman, H. B. Iz
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 51:3371-3384
Recent synthetic aperture radar (SAR) sensors with a capability of providing data with varying spatial resolutions, polarizations, and incidence angles have attracted greater interest for forest biomass and carbon storage estimation. This study inves
Autor:
Hong Wei Chen, Janet Elizabeth Nichol, Md. Latifur Rahman Sarker, Man Sing Wong, Yi Liang Wan, Shuncheng Lee, Pak Wai Chan
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 21:66-77
This paper presents a geographic information systems (GIS) model to relate biogenic volatile organic compounds (BVOCs) isoprene emissions to ecosystem type, as well as environmental drivers such as light intensity, temperature, landscape factor and f
Autor:
Ibrahim Busu, Baharin Bin Ahmad, Alias Abdul Rahman, Md. Latifur Rahman Sarker, Janet Elizabeth Nichol
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 69:146-166
The recently available space-borne SAR sensor, PALSAR, is more promising than its predecessor JERS-1 for biomass estimation because of its long wavelength (L-band), and its ability to provide data with different polarizations, varying incidence angle
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 49:930-948
Accurate forest biomass estimation is essential for greenhouse gas inventories, terrestrial carbon accounting, and climate change modeling studies. Unfortunately, no universal and transferable technique has been developed so far to quantify biomass c
Publikováno v:
Jurnal Teknologi. 71
Monitoring ocean primary productivity especially Chlorophyll-a (Chl-a) concentration is important as it contributes to the carbon cycle, global climate change and ocean health study. This study aims to examine the effects of cyclone events on the oce
Publikováno v:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XV.
Forest biomass estimation is essential for greenhouse gas inventories, terrestrial carbon accounting and climate change modeling studies. Although a lot of efforts have been made in estimating biomass using both field-based and remote sensing techniq
Autor:
N. Kamiran, Md. Latifur Rahman Sarker
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 18:012181
The land use/land cover transformation in Malaysia is enormous due to palm oil plantation which has provided huge economical benefits but also created a huge concern for carbon emission and biodiversity. Accurate information about oil palm plantation