<p><strong>Abstract.</strong> Channel migration becomes the main characteristic of major rivers of Mohana-Macheli watershed of western Nepal. Study of river channel migration of major rivers of watershed using freely available remote sensing show that the channel has shifted to as high as 1000 meters from the original river path over the span of 9 years (2009–2017). The channel migration directly affects the land use and it has direct effect on the flood plain settlements of the study area. Cultivation of sugarcane in sand area is one of the mitigating measures of flood effects and prevent river bank erosion. The study shows that the area of sand is changing disproportionately in the region. This paper presents an enhanced change detection method of river channel migration using remotely sensed images and identification of sand area using classification and interpretation technique.</p>

No abstract

<p><strong>Abstract.</strong> Climate change and so its effect on terrestrial ecosystem has been a focus point for a while now. Among them, rainfall and temperature changes happen to exert a strong influence on the condition of vegetation cover. So, it is imperative to analyze the variation and inter-relationship between vegetation cover and climate pattern, especially country like Nepal having a dynamic ecosystem. This paper aims to analyze the spatial-temporal distribution of vegetation cover, temperature, and rainfall, and to examine the relationship of the latter two with vegetation for entire Nepal. Primary data used were vegetation and temperature data from Moderate Resolution Imaging Spectroradiometer (MODIS) and rainfall data from Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data product. The relationship analysis was carried out in three phases; first, the trend of vegetation with respect to rainfall and land surface temperature (LST) was inspected over entire study area by creating a time series of Normalized Difference Vegetation Index (NDVI) monthly means for six months, averaged over the whole study period. However, vegetation change pattern across various ecological regions of Nepal also needed to be considered, for the three different regions are profoundly different from each other in a number of factors like altitude and soil type. Finally, the variation of vegetation with climatic parameters, i.e. rainfall and temperature, along the eleven-year study period was also portrayed, to depict how the vegetation cover has been fluctuating over the years. During the study period, the correlation coefficient between vegetation index and rainfall was the highest in October in Terai while that with temperature was in July in Hilly region. Overall, vegetation was influenced greater by the temperature than rainfall in all three ecological regions with the highest correlation coefficient of vegetation with temperature and rainfall, being &amp;minus;0.937 and 0.556 respectively.</p>