The topography of the earth's surface can be represented in GIS by DEM data. Surface modeling is the process of determining natural or artificial surfaces using one or more mathematical equations. A general surface modeling algorithm for all applications is not available, each method of creating a topographic surface has several advantages, disadvantages and depends on its processing direction. As such, experimenting, evaluating and selecting algorithms that are appropriate to the reality of the data and research area are necessary. Research paper, experimentally evaluating 4 Spline, IDW, Kriging and Natural Neighbor algorithms to model terrain on two map pieces representing different terrain types, the research results show that: the adapting each algorithm depends heavily on the terrain of each interpolation area. Spline interpolated terrain surfaces in more detail in ravine and valley areas; Natural Neighbor excels at matching the contours of data in all regions. IDW and Kriging algorithms have similar results and have lower accuracy than the above two methods, especially it is difficult to interpolate peaks and slopes. MAE, respectively, of high and medium hills and mountains are Spline (9.7, 10.3), NN (11.8, 10.1), IDW (13.0, 10.9), Kriging (13.3, 12.2). Spatial interpolation, topographic modeling, DEM, DSM, accuracy
Human resources is the decisive factor determining the quality of the training of universities. Especially in the context of international integration and the explosion of the fourth industrial revolution (revolution 4.0) today, in order to survive, develop and assert their brands, universities must pay more attention to more to the quality of the human resources to meet the increasing demands of society. In recent years, the quality of human resources in universities in Vietnam has been continuously improved. However, compared with developed countries in the region, the quality of human resources in Vietnamese universities is still limited, still a long distance, requiring longer-term strategies from universities.
The main aim of present study was to determine the most suitable land for paddy via AHP - GIS and Remote Sensing. Ba Thuoc district - Thanh Hoa province was selected as the target area to conduct the experimental set-up. As per opinion of scientists and the guidance of World Food Organization (FAO) on agricultural crops, the criteria selected to estimate the ecological adaptation of crops include soil type, soil texture, soil depth, soil pH, N (%), elevation, slope, distance from rivers, yearly precipitation, low-average and high temperature, average sunny hours, saltwater intrusion. The land suitability map was generated by superimposing the component maps considering the weighting of the criteria. The obtained results showed that in the experimental area nearly 8.26% of the land-use region was very appropriate for rice growing, 26.29% was observed medium appropriate, 43.35% was less appropriate and 22.1% was not fit for paddy cultivation. Overall, the data may be of value for country government, policy makers, managers as well as local authorities to induce local farmers for paddy production on most suitable areas
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