Geospatial Technology for Urban Sciences

Application of geospatial technology viz., remote sensing (RS), geographic information system (GIS), and global positioning system (GPS) may have significant role in investigations related to earth system science events. Especially investigations pertaining to urban system science needs support of geospatial technology as the urban events are dynamic and complex in nature. This chapter explains about the significance of geospatial technology in the context of urban sciences. It also provides brief details about different spatial technology. Furthermore, a conceptual research methodology is provided which demonstrates the application of geospatial technology in assessing an urban event. It would help readers to develop a strong understanding about the significance of geospatial technology, and about the ways, it can be implemented for urban science investigations.

1985 ◽  
Vol 73 (6) ◽  
pp. 1118-1127 ◽  
Author(s):  
F.P. Bretherton

2020 ◽  
Vol 11 (11) ◽  
pp. 1492-1508
Author(s):  
K. Dana Chadwick ◽  
Philip G. Brodrick ◽  
Kathleen Grant ◽  
Tristan Goulden ◽  
Amanda Henderson ◽  
...  

2013 ◽  
Vol 12 ◽  
pp. 19-24
Author(s):  
Susheel Dangol ◽  
Buong Yong Kwak

The cadastral system in Nepal is developing continuously with gradual speed. Cadastralsurvey started with chain survey and in due course of time, plane table survey was adopted for the survey in spite of its limitations in accuracy and time. Currently, total station has been practiced in few municipalities for this purpose. The paper focuses on the probability of modern data handling technology; Total station, Global Positioning System (GPS), Participatory GIS and Remote Sensing as the appropriate technology for the improvement of existing cadastral system of the country. Current situation of the cadastral system and the technology used, its shortcomings and the suitability of the proposed data handling technology are discussed in the paper. Nepalese Journal on Geoinformatics -12, 2070 (2013AD): 19-24


2005 ◽  
Vol 58 (2) ◽  
pp. 227-240 ◽  
Author(s):  
Takuji Ebinuma ◽  
Elizabeth Rooney ◽  
Scott Gleason ◽  
Martin Unwin

The Disaster Monitoring Constellation (DMC) is an international Earth observation programme to provide a rapid global remote sensing service for the monitoring and mitigation of natural and man-made disasters. Although the Global Positioning System (GPS) was originally designed for terrestrial and air applications, satellite operations have benefited greatly from the use of on-board GPS receivers. This paper describes the GPS receiver operations on the DMC satellites, performance analysis, lessons learned, and upgrades planned for the future.


2012 ◽  
Vol 6 (1) ◽  
pp. 20
Author(s):  
Aniati Murni Arymurthy ◽  
Edina Putri Purwandari

Wilayah perkotaan di Indonesia memiliki karakteristik yang sama dengan wilayah perkotaan di negara-negara berkembang. Beberapa karakteristik tersebut seperti: (1) penurunan fungsi alam dengan berkurangnya ruang hijau atau vegetasi, (2) penumpukan bangunan beratap pada wilayah yang dekat dengan akses transportasi, industri dan pasar, (3) lokasi pemukiman pada zona yang berbahaya karena dekat dengan terminal, sepanjang aliran sungai, sepanjang jalur rel kereta api, dan tempat pembuangan sampah akhir. Keterkaitan antara nilai indeks kemiskinan dengan morfologi fisik dan vegetasi suatu wilayah dapat diketahui dengan pemanfaatan teknologi remote sensing (RS). Keakuratan analisis pemukiman miskin dengan teknologi RS bergantung pada kualitas citra satelit Very High Resolution (VHR) dan kelengkapan dataset Sistem Informasi Geografis (SIG). Teknologi Geospasial yang terintegrasi seperti RS, SIG, dan Global Positioning System (GPS) dapat berkontribusi secara interaktif dalam penilaian, pemahaman dan pemetaan untuk memecahkan masalah pemukiman penduduk yang kompleks di Indonesia. Urban areas in Indonesia have the same characteristics with urban areas in developing countries. Some characteristics such as: (1) decreased of the function of nature with the reduced the number of natural green space or vegetation, (2) accumulation of roofed buildings in the area close to transportation access, industry and market, (3) the location of housing in the dangerous zone as close to the terminal, along the river side, along the railway lines, and the final waste disposal sites. The linkage between poverty index values with the physical morphology and vegetation of an area can be identified by the use of technology and remote sensing (RS). The accuracy of the analysis of poor housing with RS technology relies on the image quality of Very High Resolution (VHR) satellite and the completeness of the dataset Geographic Information Systems (GIS). Geo-spatial technologies are integrated as RS, GIS, and Global Positioning System (GPS) can contribute interactively in the assessment, understanding and mapping to solve the complex problem of residential in Indonesia.


2021 ◽  
Vol 13 (18) ◽  
pp. 3778
Author(s):  
Qiang Zhao ◽  
Le Yu ◽  
Xuecao Li ◽  
Dailiang Peng ◽  
Yongguang Zhang ◽  
...  

Earth system science has changed rapidly due to global environmental changes and the advent of Earth observation technology. Therefore, new tools are required to monitor, measure, analyze, evaluate, and model Earth observation data. Google Earth (GE) was officially launched by Google in 2005 as a ”geobrowser”, and Google Earth Engine (GEE) was released in 2010 as a cloud computing platform with substantial computational capabilities. The use of these two tools or platforms in various applications, particularly as used by the remote sensing community, has developed rapidly. In this paper, we reviewed the applications and trends in the use of GE and GEE by analyzing peer-reviewed articles, dating up to January 2021, in the Web of Science (WoS) core collection using scientometric analysis (i.e., by using CiteSpace) and meta-analysis. We found the following: (1) the number of articles describing the use of GE or GEE increased substantially from two in 2006 to 530 in 2020. The number of GEE articles increased much faster than those concerned with the use of GE. (2) Both GE and GEE were extensively used by the remote sensing community as multidisciplinary tools. GE articles covered a broader range of research areas (e.g., biology, education, disease and health, economic, and information science) and appeared in a broader range of journals than those concerned with the use of GEE. (3) GE and GEE shared similar keywords (e.g., “land cover”, “water”, “model”, “vegetation”, and “forest”), which indicates that their application is of great importance in certain research areas. The main difference was that articles describing the use of GE emphasized its use as a visual display platform, while those concerned with GEE placed more emphasis on big data and time-series analysis. (4) Most applications of GE and GEE were undertaken in countries, such as the United States, China, and the United Kingdom. (5) GEE is an important tool for analysis, whereas GE is used as an auxiliary tool for visualization. Finally, in this paper, the merits and limitations of GE and GEE, and recommendations for further improvements, are summarized from an Earth system science perspective.


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