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Piah, Abd. Rahni Mt.
- Effect of Upstream on Downstream Due to Spatio-Temporal Land Use Land Cover Changes in Kelantan, Peninsular Malaysia
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Authors
Mohd Talha Anees
1,
K. Abdullah
1,
M. N. M. Nawawi
1,
Nik Norulaini Nik Ab Rahman
2,
Abd. Rahni Mt. Piah
3,
M. I. Syakir
4,
A. K. Mohd. Omar
4
Affiliations
1 School of Physics, Universiti Sains Malaysia, 11800 Minden, Penang, MY
2 School of Distance Education, Universiti Sains Malaysia, 11800 Minden, Penang, MY
3 School of Mathematics, University Sains Malaysia, 11800, Minden, Penang, MY
4 School of Industrial Technology, Universiti Sains Malaysia, 11800 Minden, Penang, MY
1 School of Physics, Universiti Sains Malaysia, 11800 Minden, Penang, MY
2 School of Distance Education, Universiti Sains Malaysia, 11800 Minden, Penang, MY
3 School of Mathematics, University Sains Malaysia, 11800, Minden, Penang, MY
4 School of Industrial Technology, Universiti Sains Malaysia, 11800 Minden, Penang, MY
Source
Nature Environment and Pollution Technology, Vol 16, No 1 (2017), Pagination: 29-35Abstract
The present study deals with the effects of upstream spatio-temporal land use land cover (LULC) changes on downstream by the use of Landsat and Google Earth data in Kelantan, Peninsular Malaysia. The study involves mosaic of multi-temporal satellite data of Landsat-5 TM of 2005 and Landsat-8 OLI_TIRS of 2015, which have been analysed visually. The study reveals that the effect of major spatio-temporal LULC changes of upstream can cause river overflows and flash flood at downstream. The major LULC changes noticed were decrease in dense forest 798.89 km2 (5.30%) at up and midstream and mixed horticulture 263.34 km2 (1.74%) at mid and downstream, while increase in forest (416.82 km2) at midstream and scrub (190.62 km2) at upstream due to transformation from dense forest. Furthermore, increment in uncultivated land (68.33 km2) and palm oil (372.66 km2) plantation activities at both up and midstream was observed. The accuracy assessment result of the study shows that study was accurate with overall accuracy of 91.4%.Keywords
Flood, Landsat, Land use Land Cover, Remote Sensing, GIS.Full Text
References
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- Applications of Remote Sensing, Hydrology and Geophysics for Flood Analysis
Abstract Views :187 |
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Authors
Mohd Talha Anees
1,
K. Abdullah
1,
M. N. M. Nawawi
1,
Nik Norulaini Nik Ab Rahman
2,
Abd. Rahni Mt. Piah
3,
M. I. Syakir
4,
A. K. Mohd. Omar
4,
Kaizar Hossain
5
Affiliations
1 School of Physics, Universiti Sains Malaysia, 11800 Minden, Penang, MY
2 School of Distance Education, Universiti Sains Malaysia, 11800 Minden, Penang, MY
3 School of Mathematics, Universiti Sains Malaysia, 11800 Minden, Penang, MY
4 School of Industrial Technology, Universiti Sains Malaysia, 11800, Minden, Penang, MY
5 Detartment of Environmental Science, PACE Institute of Technology and Sciences, Ongole – 523272, Andhra Pradesh, IN
1 School of Physics, Universiti Sains Malaysia, 11800 Minden, Penang, MY
2 School of Distance Education, Universiti Sains Malaysia, 11800 Minden, Penang, MY
3 School of Mathematics, Universiti Sains Malaysia, 11800 Minden, Penang, MY
4 School of Industrial Technology, Universiti Sains Malaysia, 11800, Minden, Penang, MY
5 Detartment of Environmental Science, PACE Institute of Technology and Sciences, Ongole – 523272, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 10, No 17 (2017), Pagination:Abstract
Objective: To propose an integrated approach for flood analyses in order to understand the causes and effects of flooding, and to achieve better measurements in flood risk predictions and mitigation. Method: The role of remote sensing, hydrology and geophysical methods in determining and selection of input and model parameters in hydrological modeling for flood analyses were discussed. Findings: Remote sensing and GIS are found to be important in any preliminary flood analysis while hydrological parameters such as precipitation, infiltration, evapotranspiration and runoff and their factors such as meteorological characteristics, land use land cover changes, types of vegetation and soil properties play a crucial role for accurate hydrological modelling. In hydrogeological investigation, geophysical methods such as Transient Electromagnetic and Resistivity methods are found best for the determination of subsurface hydrological factors such as hydraulic conductivity, porosity and permeability. Improvement: It is found that the combination of these methods can furnish precise flood analyses through modeling techniques.Keywords
Flooding, Geographic Information System, Geophysical Methods, Hydrology, Remote Sensing.Full Text