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Water pollution has now become a major threat to the existence of living beings and water quality monitoring is an effective step towards the restoration of water quality. Lakes are versatile ecosystems and their eutrophication is a serious problem. Carlson Trophic State Index (CTSI) provides an insight into the trophic condition of a lake. CTSI has been modified for the study area and is used in this study. Satellite imagery analysis now plays a prominent role in the quick assessment of water quality in a vast area. This study is an attempt to assess the trophic state index based on secchi disk depth and chlorophyll a of a lake system (Akkulam-Veli lake, Kerala, India) using Indian Remote Sensing (IRS) P6 LISS III imagery. Field data were collected on the date of the overpass of the satellite. Multiple regression equation is found to yield superior results than the simple regression equations using spectral ratios and radiance from the individual bands, for the prediction of trophic state index from satellite imagery. The trophic state index based on secchi disk depth, derived from the satellite imagery, provides an accurate prediction of the trophic status of the lake. IRS P6-LISS III imagery can be effectively used for the assessment of the trophic condition of a lake system.

Purpose The purpose of this study is to investigate the effects of accelerated job demands on employee outcomes during the COVID-19 crisis. An integrated model was developed to explore the relationships between different types of job demands (learning, decision-making, work intensification), employee turnover intention (TI) and burnout (BU).Design/methodology/approach Data were obtained from professionals whose work conditions were impacted by the COVID-19 pandemic crisis. An online survey was distributed anonymously. A total of 566 questionnaires were included in the analysis. Structural equation modeling was employed to analyze the data.Findings The findings revealed that employees' perception of job demands impacts the significance and direction of the relationships between different forms of job demands and employee outcomes. Furthermore, the findings confirm that mediating role of perceived organizational support alleviates the adverse effects of job demands on employee outcomes. Finally, the present study supported the moderation effect of positive affectivity between work intensification and employee BU.Practical implications This study provides employers with insights about supporting employees to cope with increased job demands in conditions where rapid changes are inevitable.Originality/value The unique context of research (COVID-19) enabled this study to account for the acceleration of job demands that employees experience in rapidly changing situations. This study employed an instrument that allowed for the assessment of acceleration in job demands. Furthermore, the granular approach of the measurement model extended the perspectives of job demands and work intensification.

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