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        Automated extraction of various vegetative and water body indices from multisensor satellite data: a MATLAB approach

        Girish Gopinath,S. Nimmi 대한공간정보학회 2018 Spatial Information Research Vol.26 No.4

        The increasing availability of remote sensing imageries with different spatial, spectral, temporal and radiometric characteristics expands the horizon of our choices in imageries and vegetation mapping. Among the various techniques in vegetation mapping the use of vegetative indices confiscates the simplest and easiest one to understand and calculate. This work proposes automatic extraction of different vegetation and water indices from ResourceSat-1(IRS-P6) images. The concept paves to calculate indices for any ResourceSat image prearranged to the program which is written in MATLAB 2013a. The effortlessly accessible images from its onboard sensors as Medium Resolution Linear Imaging Self-Scanner (LISSIII) and Advanced Wide Field Sensor (AWiFS) were considered to calculate six major indices like Normalized Difference Vegetation Index, Infrared Percentage Vegetation Index, Ratio Vegetation Index, Green Normalized Difference Vegetation Index, Green Red Vegetation Index, and Normalized Difference Water Index automatically. The program was written for any ResourceSat (LISS-III and AWiFS) data so that further analysis as well as calculation of more indices can be done by any individual within MATLAB. The user-friendly and time preserving feature makes MATLAB more powerful that any common user can deal with the analysis without the presence of any GIS experts that other softwares do.

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        Changing Characteristics of Droughts over Kerala, India: Inter-Annual Variability and Trend

        Abhilash S.,E. K. Krishnakumar,P. Vijaykumar,A. K. Sahai,B. Chakrapani,Girish Gopinath 한국기상학회 2019 Asia-Pacific Journal of Atmospheric Sciences Vol.55 No.1

        Realized changes in the climate over Kerala received more attention during recent times under the back to back drought conditions prevailing over the state. The year 2016 registered as one of the worst and extreme drought year over Kerala in recent past. This extreme drought condition may be attributed to the combined effect of realized changes in the mean climate state as well as the climate variability.Both the recent and historic drought events over Kerala is examined and its possible impacts on different sectors like agriculture and water resource are studied using the standardized precipitation index (SPI). Historical occurrence of both the short term and long term water stress associated with deficit rainfall during monsoon and postmonsoon season is presented in the paper. It is found that south west monsoon rainfall over Kerala is decreasing over south Kerala during recent decades, whereas the post-monsoon rainfall is found to be increasing especially over south Kerala. There exists a weak relationship between Pacific SSTand Kerala rainfall. Trend analysis of SPI on different time scale showed negative trend and that negative trend increases with increasing time scale.

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