Nowadays, land cover changes are a major issue of global environmental change. Investigation on this subject has now been done by using remote sensing application. Research has been done in the Penang Island, which is one of the affected areas due to industrial and residential areas growth. Thus, this monograph is published to demonstrate an effective application through remote sensing technique to explore the environmental change and its impact on local environment that is caused by abrupt change in land use. It provides appropriate and comprehensive information for researchers involved in the study of environmental management, urban planning, land surface characteristics, and related support fields. This monograph highlights the relationship between land surface temperature and normalized difference vegetation index as the major results. The remote sensing technique used in this study was found to be efficient. It reduced the time for the analysis of land cover changes and was found to be a useful tool. Universiti Sains Malaysia, Penerbit Universiti Sains Malaysia
This monograph is the outcome of 15 years experience of working with satellite images with the funding from IRPA RM7, ESCAP NASDA, Science Fund and several short term grants. It introduces a new methodology and algorithms for water and air quality monitoring by using conventional digital camera as a sensor to provide multi-spectral remote sensing data. The image is either captured by a digital camera mounted in an unman aircraft vehicle (UAV) or directly captured from a light air-craft. New algorithms were developed to correlate the pollutant concentration with the digital images. The algorithms can also generate a map of the pollutant concentration of the studied area. Pollutant information is very important for survey information, tourism information, development assessment, coastal preservation and area development planning. This new methodology allows images to be captured below the cloud level. Thus, with this method and the algorithms, cloud cover problem of satellite and airborne images can be overcome. They also overcome the problems of time, money, and resources wasted in collecting in-situ data for algorithm calibration of cloud cover satellite images. Furthermore, they provide real-time, high accuracy information. Universiti Sains Malaysia, Penerbit Universiti Sains Malaysia
The book essentially covers: Temporal and spatial distribution of total precipitable water (TPW), derived from ATOVS measurements and radiosonde profiling across different geographical regions and climatic seasons in Peninsular Malaysia. Distribution of TPW at different altitudes (atmospheric layers) namely upper, lower and middle layers. Computation of empirical models correlating TPW at middle and higher atmospheric layers with that of the lower layer in order to establish possible interlayer correlation. Development of models to estimate/predict layered (lower, middle and upper) and TPW using precipitable water obtained from ATOVS satellite data and surface meteorological data (temperature, pressure and relative humidity). Development and comparison of artificial neural networks (ANN) models with the multiple linear regression (MLR) models. Contrasting precipitable water data from ATOVS with radiosonde observations, portrays the former as suitable for studies on TPW. The two sources of water vapour profiles agreed reasonably well, both seasonally and spatially across the different geographical regions and climatic seasons in Peninsular Malaysia. The developed MLR based models provide excellent predictive capabilities with seasonal and spatial dependency, especially during the northeast monsoon and northwards across Peninsular Malaysia.
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