Remote sensing is a very useful method in application of establishing land cover map. It has been widely used for detecting and analyzing land cover/use feature in our environment especially in the developing country like Malaysia. The objective of this study is to investigate the use of quad polarization ALOS-PALSAR data for land cover/use classification. Speckle filtering was an improvement over the unfiltered ALOS-PALSAR data. The use of Mean texture measure was found to be advantageous. A maximum likelihood decision rule is utilized to determine different landcover classes such as paddy, forest, oil palm, water, and urban. The ALOS-PALSAR data training areas were chosen based on optical satellite imagery. Ground reference data from sites throughout the study area were collected for validation. The land cover information was extracted from the digital data using PCI Geomatica 10.3.2 software package. The high accuracies indicated that the land cover/use can be mapped accurately using ALOS PALSAR data.
Carbon dioxide (CO 2 ) is the primary anthropogenic GHG and contribute up to 70% of the global warming. It has been associated with climate change which influences land and water resources, food and pasture availability, disappearance of plants and animal species and loss of habitat. the objective of this study was used multiple linear regression (MLR) method to analyze the relationship between the column averaged dry-air mole fractions of carbon dioxide (XCO 2 ) and other atmospheric variables in Peninsular Malaysia based on Greenhouse Gases Observing Satellite (GOSAT) data for the period of 2009-2014. Then XCO 2 was predicted using the obtained best-fitting MLR. The results indicated that prediction model with the measured data showed a high correlation coefficient (R 2 =0.9037), indicating the model's accuracy and efficiency. The GOSAT data are encouraging and capable to examine the increase of the atmosphere greenhouse gases over different regions in Peninsular Malaysia.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.