Geographic information. Preservation of digital data and metadata

2018 ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 280 ◽  
Author(s):  
Brodeur ◽  
Coetzee ◽  
Danko ◽  
Garcia ◽  
Hjelmager

Geographic information metadata provides a detailed description of geographic information resources. Well before digital data emerged, metadata were shown in the margins of paper maps to inform the reader of the name of the map, the scale, the orientation of the magnetic North, the projection used, the coordinate systems, the legend, and so on. Metadata were used to communicate practical information for the proper use of maps. When geographic information entered the digital era with geographic information systems, metadata was also collected digitally to describe datasets and the dataset collections for various purposes. Initially, metadata were collected and saved in digital files by data producers for their own specific needs. The sharing of geographic datasets that required producers to provide metadata with the dataset to guide proper use of the dataset—map scale, data sources, extent, datum, coordinate reference system, etc. Because of issues with sharing and no common understanding of metadata requirements, the need for metadata standardization was recognized by the geographic information community worldwide. The ISO technical committee 211 was created in 1994 with the scope of standardization in the field of digital geographic information to support interoperability. In the early years of the committee, standardization of metadata was initiated for different purposes, which culminated in the ISO 19115:2003 standard. Now, there are many ISO Geographic information standards that covers the various aspect of geographic information metadata. This paper traces an illustration of the development and evolution of the requirements and international standardization activities of geographic information metadata standards, profiles and resources, and how these attest to facilitating the discovery, evaluation, and appropriate use of geographic information in various contexts.


Author(s):  
Ram Chander

Preservation of digital resources in the 21st century has been a great challenge for library and information professionals. Digital libraries have been built all over the world. Libraries are engaged in creating and maintaining digital libraries. One of the main challenges in maintaining digital libraries is the digital preservation aspect. The aim of digital preservation is to ensure that digital records are filed and are made available through time. Digital information preservation is always the thinking of library and information society. Preservation of digital documents has now become more obvious and necessary because of the fragility of digital data and software and hardware platforms becoming obsolete. The present chapter focuses on the digital preservation, strategies, policies, functions, current activities, and guideline of digital preservation of information.


2019 ◽  
Vol 11 (11) ◽  
pp. 1
Author(s):  
Welvis Furtado da Silva ◽  
Henrique Fonseca Elias de Oliveira ◽  
Manoel Henrique Reis de Oliveira ◽  
Eloisa Aparecida da Silva Ávila ◽  
Evaldo Alves dos Santos ◽  
...  

The state of Goiás, Brazil offers a territorial division with well-defined areas in terms of water capacity. The water found in these dividers is used in various agriculture segments. There were identified in the Hydrographic Basins in the State, areas irrigated by central pivots used in irrigated agriculture that is developing very fast and this can become a problem if a control is not done. This study aimed to collect data, identify and quantify the distribution of irrigation systems of the central pivot type licensed and operating in a spatial format in the Hydrographic Basins in the State of Goiás. It raised digital data and physical media in order to understand how these were able to characterize the research area. It analyzed the maps, existing in the database of the State through digital (SIEG-State System of Statistics and Geographic Information of Goiás). With the use of AutoCAD programs, version 2018, there was utilized the geographic information plataform QGIS 2.14.19 with GRASS 7.2.1 has organized thematic maps of hydrographs and pivots. This material provided the possibility of compiling the fundamental data to structure the information that supports the descriptive dynamics of the number of pivots even in separate basins. This information analyzed and compared to other publications about pivots in Goiás contributed to the formation and elaboration of a data model for the year 2017. In the State of Goiás, Brazil, there is a total of 3,223 central pivot type equipment in operation irrigating an area corresponding to 234,226.12 hectares.


2014 ◽  
Vol 10 (2) ◽  
Author(s):  
Ernawan Setyono ◽  
Bangkit Prasetyo

Ernawan Setyono1& Bangkit Prasetyo21&2Fakultas Teknik Jurusan Teknik Sipil Universitas Muhammadiyah MalangAlamat Korespondensi : Jl. Raya Tlogomas, No.246 Malangemail :[email protected] , Telp 03419591639ABSTRACTSub DAS Lesti is a part of Brantas watershed that located at upstream section and a sub DASpriority. That has 61.491,02 ha of water catchment areas. Hydrological processes that occur in awatershed is closely related to erosion. The alteration of land use and watershed management is oneof the factors causing soil damage, accelerate the erosion rate, and cause erosion. Based on thecondition of that case, this study analyzes about how much the erosion rate, the amount of erosion,and to estimate the level of erosion that will occur.MUSLE method is one of the methods used to determine the magnitude of the erosion rate,that use an approach of runoff factor. Geographic Information Systems (GIS) used for the managementand data processing. Geographic Information Systems is a spatially information technology thatgenerate digital data which can gives the area characteristics, and illustrates the potential of soildamage.The level of erosion hazard on Sub DAS Lesti for weight categories reach 31.421% of thearea, while another erosion rate is Medium 24.146%, Lightweight 22.151%, Very Heavy 16.123%,and Very Light 6.159%.


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