Dr. Md Latifur Rahman Sarker Profile

Dr. Md Latifur Rahman Sarker

at Univ Teknologi Malaysia

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Publications (3)

Proceedings Article | 24 October 2013 Paper

Monitoring the effects of land use/landcover changes on urban heat island

Ong Gee, Md Latifur Rahman Sarker

Proceedings Volume 8893, 889304 (2013) https://doi.org/10.1117/12.2029035

KEYWORDS: Vegetation, Thermal effects, Temperature metrology, Landsat, Climate change, Satellites, Radiation effects, Image analysis, Thermography, Earth observing sensors

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Urban heat island effects are well known nowadays and observed in cities throughout the World. The main reason behind the effects of urban heat island (UHI) is the transformation of land use/ land cover, and this transformation is associated with UHI through different actions: i) removal of vegetated areas, ii) land reclamation from sea/river, iii) construction of new building as well as other concrete structures, and iv) industrial and domestic activity. In rapidly developing cities, urban heat island effects increases very hastily with the transformation of vegetated/ other types of areas into urban surface because of the increasing population as well as for economical activities. In this research the effect of land use/ land cover on urban heat island was investigated in two growing cities in Asia i.e. Singapore and Johor Bahru, (Malaysia) using 10 years data (from 1997 to 2010) from Landsat TM/ETM+. Multispectral visible band along with indices such as Normalized Difference Vegetation Index (NDVI), Normalized Difference Build Index (NDBI), and Normalized Difference Bareness Index (NDBaI) were used for the classification of major land use/land cover types using Maximum Likelihood Classifiers. On the other hand, land surface temperature (LST) was estimated from thermal image using Land Surface Temperature algorithm. Emissivity correction was applied to the LST map using the emissivity values from the major land use/ land cover types, and validation of the UHI map was carried out using in situ data. Results of this research indicate that there is a strong relationship between the land use/land cover changes and UHI. Over this 10 years period, significant percentage of non-urban surface was decreased but urban heat surface was increased because of the rapid urbanization. With the increase of UHI effect it is expected that local urban climate has been modified and some heat related health problem has been exposed, so appropriate measure should be taken in order to reduce UHI effects as soon as possible.

Proceedings Article | 16 October 2013 Paper

Monitoring long-term ocean health using remote sensing: A case study of the Bay of Bengal

Lim Yi, Md Latifur Rahman Sarker, Lei Zhang, Eko Siswanto, Ahmad Mubin, Saadah Sabarudin

Proceedings Volume 8888, 88880K (2013) https://doi.org/10.1117/12.2029032

KEYWORDS: Remote sensing, Floods, Natural disasters, Mouth, Climate change, MODIS, Carbon, Neodymium, Ions, Satellites

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Oceans play a significant role in the global carbon cycle and climate change, and the most importantly it is a reservoir for plenty of protein supply, and at the center of many economic activities. Ocean health is important and can be monitored by observing different parameters, but the main element is the phytoplankton concentration (chlorophyll–a concentration) because it is the indicator of ocean productivity. Many methods can be used to estimate chlorophyll–a (Chl-a) concentration, among them, remote sensing technique is one of the most suitable methods for monitoring the ocean health locally, regionally and globally with very high temporal resolution. In this research, long term ocean health monitoring was carried out at the Bay of Bengal considering three facts i.e. i) very dynamic local weather (monsoon), ii) large number of population in the vicinity of the Bay of Bengal, and iii) the frequent natural calamities (cyclone and flooding) in and around the Bay of Bengal. Data (ten years: from 2001 to 2010) from SeaWiFS and MODIS were used. Monthly Chl–a concentration was estimated from the SeaWiFS data using OC4 algorithm, and the monthly sea surface temperature was obtained from the MODIS sea surface temperature (SST) data. Information about cyclones and floods were obtained from the necessary sources and in-situ Chl–a data was collected from the published research papers for the validation of Chl-a from the OC4 algorithm. Systematic random sampling was used to select 70 locations all over the Bay of Bengal for extracting data from the monthly Chl-a and SST maps. Finally the relationships between different aspects i.e. i) Chl-a and SST, ii) Chl-a and monsoon, iii) Chl-a and cyclones, and iv) Chl-a and floods were investigated monthly, yearly and for long term (i.e 10 years). Results indicate that SST, monsoon, cyclone, and flooding can affect Chl-a concentration but the effect of monsoon, cyclone, and flooding is temporal, and normally reduces over time. However, the effect of SST on Chl-a concentration can't be minimized very quickly although the change of temperature over this period is not very large.

Proceedings Article | 16 October 2013 Paper

Forest biomass estimation from the fusion of C-band SAR and optical data using wavelet transform

Md. Latifur Rahman Sarker, Janet Nichol

Proceedings Volume 8887, 88870S (2013) https://doi.org/10.1117/12.2029043

KEYWORDS: Biological research, Image fusion, Data fusion, Synthetic aperture radar, Wavelets, Polarization, Near infrared, Sensors, Image sensors, Wavelet transforms

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