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Stability assessment of tertiary stratified slope by using GIS and stereo-net
Published in Wang Sijing, Fu Bingjun, Li Zhongkui, st Century, 2020
Zhang Xiaobing, Teturo Esaki, Zhou Guoyun, Yasuhiro Mitani
Based on the terrain map of cutting slope, a terrain layer can be generated. For presenting the cutting slope in detail, the 1/1000 terrain map is used. The process is as follows: Firstly, input the terrain paper map by scanner to make an image map, then make a line file by using ILWIS (GIS software by ITC, The Netherlands) to trace contour line. For illustrating cutting slopes precisely, it is mot adequate by only using the contour line. Based on the terrain map and profile map, which cross the road with 20m intervals, a accurate point position can be obtained from the profile. Because the number of points is not enough, for increasing points, obtained point file is transited to Arcview, and based on obtained critical points and linear interpolation, points are added. Thereafter, the line file of contour to point file and combined with point file of cutting slope. By interpolating the combined point data, the terrain layer is generated as grid model with 1 mgrid-size (Figure 4).
Application of Image Processing and Data in Remote Sensing
Published in Ankur Dumka, Alaknanda Ashok, Parag Verma, Poonam Verma, Advanced Digital Image Processing and Its Applications in Big Data, 2020
Ankur Dumka, Alaknanda Ashok, Parag Verma, Poonam Verma
ENVI is image analysis software which is used for image processing and analysis in order to extract the meaningful information from images. It can be deployed in desktop, cloud, or mobile devices and can be customized as per requirements using APIs. MATLAB is short form for matrix laboratory which consists of software used in the field of digital image processing. PCI Geomatica is used for remote sensing desktop software package used for processing of earth observation data. It can be used for loading of satellite and aerial imaginary data with advanced analysis features. IDRISI is a GIS analytical tool used for GIS-based application for finding remote sensing data. Some of the open source software packages that are available for remote sensing applications are ILWIS, Opticks, GRASS, OSSIN, Multispec, etc.
Big Geospatial Data and the Geospatial Semantic Web: Current State and Future Opportunities
Published in Yulei Wu, Fei Hu, Geyong Min, Albert Y. Zomaya, Big Data and Computational Intelligence in Networking, 2017
Chuanrong Zhang, Weidong Li, Tian Zhao
GIS is a system designed to capture, store, manipulate, analyze, manage, and present all types of geospatial data. GIS has been applied to many different application areas for geospatial analysis and decision-making such as climate change, disaster response, banking, retail and E-commerce, political campaigns, insurance, and fraud analysis. Currently, several commercial desktop GIS software systems dominate the geographical information (GI) industry, such as Esri ArcGIS, Hexagon Geospatial Geomedia, MapInfo Professional, Global Mapper, Manifold GIS, GE Smallworld, Bentley Map, Golden Software MapViewer, and Clark Laboratories IDRISI. Recently, many free, open-source GIS packages have been developed such as GRASS GIS, gvGIS, ILWIS, JUMP GIS, MapWindow GIS, QGIS, SAGA GIS, and uDig. The development of the World Wide Web creates a unique environment for developing GIS. Besides many of commercial Internet GIS programs such as Esri’s ArcGIS Online, a number of open-source Web map servers, such as GeoServer, MapGuide Open Source, Mapnik, and MapServer, have been developed to offer better tools for managing geospatial data over the Web. These online GIS programs have freed many users from the need to store large geospatial data sets on their own servers. It is possible to perform basic spatial data analyses and transmit data back to the office by using these online GIS programs.
Evaluation of regional soil water retention (SWR) characteristics for soils in Central India
Published in Journal of Applied Water Engineering and Research, 2020
R. K. Jaiswal, J. V. Tyagi, R. V. Galkate, A. K. Lohani
In the analysis, the areas under both the commands have been demarcated spatially in two groups (SG-1 and SG-2) using interpolation technique in ILWIS geographic information system (GIS) and depicted in Figure 4. From the spatial analysis, it may be concluded that 13831 ha area falls under SG-1 group while 16473 ha under SG-2 from the soil moisture point of view. For the application of regional models in the field, the SWR curves for both soil groups is presented in Figure 5.