Relevant bibliographies by topics / Geospatial application

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Geospatial application'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Geospatial application"

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Li, H., W. Huang, Z. Zha, and J. Yang. "APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 293–300. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-293-2021.

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Abstract. With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. In addition to the traditional "5V" characteristics of big data, which are Volume, Velocity, Variety, Veracity and Valuable, geospatial big data also has the characteristics of "Location Attribute". At present, the study of geospatial big data are mainly concentrated in: knowledge mining and discovery of geospatial data, Spatiotemporal big data mining, the impact of geospatial big data on visualizat
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Guo, Dongming, and Erling Onstein. "State-of-the-Art Geospatial Information Processing in NoSQL Databases." ISPRS International Journal of Geo-Information 9, no. 5 (2020): 331. http://dx.doi.org/10.3390/ijgi9050331.

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Geospatial information has been indispensable for many application fields, including traffic planning, urban planning, and energy management. Geospatial data are mainly stored in relational databases that have been developed over several decades, and most geographic information applications are desktop applications. With the arrival of big data, geospatial information applications are also being modified into, e.g., mobile platforms and Geospatial Web Services, which require changeable data schemas, faster query response times, and more flexible scalability than traditional spatial relational
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Zhai, Zhaokun, Yin Gao, Jianjun Liu, Jianwei Liu, and Jian Che. "Database Construction and Application of Large-scale Geospatial Data." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4-2024 (October 21, 2024): 563–69. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-2024-563-2024.

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Abstract. Geospatial data refers to data that related to spatial location. It is the abstract representation of objects, events, or other characteristic information located on or near the surface of the Earth. It characterizes attribute features, spatial features, and associated information of geospatial features. Geospatial data commonly include various data types such as point, polyline, polygon, and so on. Geospatial database is the basic method to store and manage geospatial data. It is also the important component of geographic information systems (GIS). Geospatial database generally stor
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Sanyasi Naidu, Dadi. "Cyber Security Implementation for Application of Geospatial Data." Journal of Switching Hub 8, no. 3 (2023): 1–8. http://dx.doi.org/10.46610/josh.2023.v08i03.001.

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Geospatial information is often seen as just being connected with guides, compasses, and areas. In any case, the application areas of geospatial information are far more extensive and even stretch out to the field of network safety. In addition to the fact that there is a capacity to show focal points and rising network traffic conditions, however, geospatial information likewise can display cybercrime development designs and demonstrate impacted regions as well as the rise of sort of digital dangers. Geospatial information can take care of knowledge frameworks, assist with investigation, and
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ZU, Shimao, and Shuangqing SHENG. "Book Review of Learning Geospatial Analysis with Python(Second Edition)." Chinese Computer Sciences Review 3, no. 1 (2025): 1–5. https://doi.org/10.48014/ccsr.20250303001.

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“Learning Geospatial Analysis with Python (Second Edition) ”, authored by Joel Lawhead, was published by Posts & Telecom Press in April 2017. This book comprehensively elaborates on the application of Python in geospatial analysis, with systematic and comprehensive content. It begins by introducing the fundamental concepts of geospatial analysis, its historical development, and its connections with related fields such as Geographic Information Systems (GIS) and remote sensing. Subsequently, it delves into various aspects of geospatial data, including key content such as data formats, struc
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Changmai, Sukalpa. "Geospatial Application for Dairy Supply Chain Management." Journal of Geomatics 17, no. 2 (2023): 57–66. http://dx.doi.org/10.58825/jog.2023.17.2.63.

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The broad availability of geospatial data has changed how we think about solving problems. There are numerous uses for GIS and Remote Sensing in a variety of fields. Such a field includes Supply Chain Management where GIS is used to map various stages like producers, consumers, processing facilities, suppliers, distribution centres, and transportation routes for better decision making and enhanced flow of goods. In this study we are integrating geospatial technologies to map raw material source, routes taken for the delivery of processed items, areas served by a processing unit and finally mod
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Ussenov, Nurbol, Shakhislam Laiskhanov, Yerlan Issakov, Duman Aliaskarov, and Yerzhan Abikbayev. "Geoinformation technologies as a tool for developing geospatial thinking skills." Journal of Educational Sciences 80, no. 3 (2024): 186–99. http://dx.doi.org/10.26577/jes2024v80.i3.015.

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The use of geospatial technologies is becoming increasingly important in geography education, enabling activities such as spatial data retrieval, sampling, organised storage and transfer of necessary information. However, this process is very slow due to many obstacles that hinder the implementation of geospatial technologies in secondary education. Therefore, the purpose of this study was to analyse the current status of geospatial technologies in teaching geography in schools in Kazakhstan and to as-sess the potential of these technologies to develop students’ geospatial skills. The state of
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Le, Phuong-Phi. "Patient access to opioid substitution treatment pharmacy and medical service providers in South Australia: geospatial mapping." Australian Journal of Primary Health 25, no. 2 (2019): 125. http://dx.doi.org/10.1071/py18099.

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This cross-sectional study geospatially maps patient access to opioid substitution treatment (OST) pharmacy and medical providers in South Australia (SA), Australia. De-identified data from a total of 2935 public and private OST patients (1092 public cases and 1843 private cases) were included in the study. Geospatial mapping of OST patient locations, their dosing community pharmacy and prescriber was undertaken. The geospatial modelling methods used in this study presents an application whereby information about patient travel patterns to reach OST providers can be used as a tool for treatmen
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Lin, Dongqi, Jiawei Zhang, Basit Khan, Marwan Katurji, and Laura E. Revell. "GEO4PALM v1.1: an open-source geospatial data processing toolkit for the PALM model system." Geoscientific Model Development 17, no. 2 (2024): 815–45. http://dx.doi.org/10.5194/gmd-17-815-2024.

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Abstract. A geospatial data processing tool, GEO4PALM, has been developed to generate geospatial static input for the Parallelized Large-Eddy Simulation (PALM) model system. PALM is a community-driven large-eddy simulation model for atmospheric and environmental research. Throughout PALM's 20-year development, research interests have been increasing in its application to realistic conditions, especially for urban areas. For such applications, geospatial static input is essential. Although abundant geospatial data are accessible worldwide, geospatial data availability and quality are highly var
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Suci Harmelya, Syafri Anwar, Bigharta Bekti Susetyo, and Gusli Martini. "Persepsi Peserta Didik Terhadap Aplikasi Teknologi Geospasial Pada Pembelajaran Geografi Kelas X SMAN 1 Sungai Tarab." Journal of Mandalika Literature 5, no. 3 (2024): 280–92. http://dx.doi.org/10.36312/jml.v5i3.3214.

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The purpose of this study was to determine the perception of class X students at SMAN 1 Sungai Tarab towards Geospatial Technology Applications. Geospatial technology is a technology that measures, analyzes, and visualizes objects or events on earth. This research uses a qualitative descriptive approach. The selection of subjects in this study used a total random sampling method consisting of 255 class X students. The research data were collected using a semi-open questionnaire method with a google form consisting of 25 questions given the answer options yes, no, and others. The results showed
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Dissertations / Theses on the topic "Geospatial application"

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GERONTIN, MARIA. "Geospatial Analysison Mobile Application Usage." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-137999.

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ANAND, VIVEK. "GEOSPATIAL ANALYSIS BASED AGRICULTURAL TRADE." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18882.

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Agriculture has continued to provide a source of income for the majority of India's population, either directly or indirectly. Over time, the structure of Indian agriculture trade has changed significantly but still the methods are very traditional and no advance technologies like Geospatial Data Science or Artificial Intelligence are used for its betterment. India, which is primarily an agricultural economy, is showing signs of progress in agriculture and related businesses. Agriculture has always been regarded as a valuable tool for economic development in India, as many other major se
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Warren, Georgina Margaret Rose. "Developing land management units using geospatial technologies : an agricultural application /." Full text available, 2007. http://adt.curtin.edu.au/theses/available/adt-WCU20071218.154449.

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Warren, Georgina. "Developing land management units using Geospatial technologies: An agricultural application." Thesis, Curtin University, 2007. http://hdl.handle.net/20.500.11937/740.

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This research develops a methodology for determining farm scale land managementunits (LMUs) using soil sampling data, high resolution digital multi-spectral imagery (DMSI) and a digital elevation model (DEM). The LMUs are zones within a paddock suitable for precision agriculture which are managed according to their productive capabilities. Soil sampling and analysis are crucial in depicting landscape characteristics, but costly. Data based on DMSI and DEM is available cheaply and at high resolution.The design and implementation of a two-stage methodology using a spatiallyweighted multivariate
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Warren, Georgina. "Developing land management units using Geospatial technologies: An agricultural application." Curtin University of Technology, Department of Spatial Sciences, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=17509.

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This research develops a methodology for determining farm scale land managementunits (LMUs) using soil sampling data, high resolution digital multi-spectral imagery (DMSI) and a digital elevation model (DEM). The LMUs are zones within a paddock suitable for precision agriculture which are managed according to their productive capabilities. Soil sampling and analysis are crucial in depicting landscape characteristics, but costly. Data based on DMSI and DEM is available cheaply and at high resolution.The design and implementation of a two-stage methodology using a spatiallyweighted multivariate
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Kiani, Tayebeh. "Modeling for geospatial database : application to structural geology data : application to structural geology data." Paris 6, 2010. http://www.theses.fr/2010PA066057.

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L’objectif de cette étude est de créer un modèle de base de données dans un système d’information géographique afin d’archiver, analyser, présenter et de diffuser des données observées lors des analyses de géologie structurale. Le modèle de données est conçu pour atteindre quatre objectifs: établir un vocabulaire partagé par les spécialistes, modéliser les concepts de géologie structurale, produire des cartes dérivées des cartes géologiques d’Iran et fonctionner avec un logiciel de système d’information géographique. Un ensemble de classes conceptuelles est alors identifié pour représenter les
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Little, Jessica. "Geospatial Web-Mapping and Application Development for the Southeast Arizona Sustainable Recreation Strategy." The University of Arizona, 2016. http://hdl.handle.net/10150/622780.

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Within the last decade, the United States Forest Service (USFS) has initiated a nation-wide project of Sustainable Recreation as a response to the decreasing amount of resources available to maintain the current recreation infrastructure, including trails, campgrounds, etc. These unmaintained trails and facilities pose a potential safety threat to users and the landscape in which they reside. This smaller pilot project, as part of the Southeast Arizona Sustainable Recreation Strategy, is the second pilot project in the Southwest Region of the USFS aimed at growing the Sustainable Recreation in
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Mehling, Molly Gail. "DEVELOPMENT AND APPLICATION OF A GEOSPATIAL DATABASE OF SIERRA NEVADA LAKES AND RESERVOIRS." Miami University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=miami1142529953.

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Shimazaki, Hiroto. "Application-oriented approaches of geospatial data analysis : case studies on global environmental problems." 京都大学 (Kyoto University), 2009. http://hdl.handle.net/2433/126501.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(工学)<br>甲第14926号<br>工博第3153号<br>新制||工||1473(附属図書館)<br>27364<br>UT51-2009-M840<br>京都大学大学院工学研究科都市環境工学専攻<br>(主査)教授 田村 正行, 准教授 立川 康人, 准教授 須﨑 純一<br>学位規則第4条第1項該当
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Perez, Luis Ernesto. "A virtual supermarket for remote sensing data and images." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Books on the topic "Geospatial application"

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Environmental Management Technical Center (U.S.), ed. Geospatial application: Production ARCEDIT. National Biological Survey, Environmental Management Technical Center, 1995.

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U.S. Fish and Wildlife Service, ed. Geospatial application: Aquatic habitat analysis and visualization tool. U.S. Dept. of the Interior, Fish and Wildlife Service, 1995.

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Das, Sandipan, Prem C. Pandey, Onisimo Mutanga, et al., eds. Application of Geospatial Technology and Modelling on Natural Resources Management. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84698-4.

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McConville, David R. Geospatial application: A geographic information system interface designed for use in river management. National Biological Service, Environmental Management Technical Center, 1996.

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McConville, David R. Geospatial application: A geographic information system interface designed for use in river management. National Biological Service, Environmental Management Technical Center, 1996.

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Inc, ebrary, ed. Python geospatial development: Build a complete and sophisticated mapping application from scratch using Python tools for GIS development. Packt Open Source, 2010.

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Environmental Management Technical Center (U.S.), ed. Geospatial application: Evaluation of multidate Landsat multispectral scanner data for determining changes between aquatic and terrestrial habitats on the upper Mississippi River system. National Biological Service, Environmental Management Technical Center, 1995.

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Thorne, James H., Jacquelyn H. Bjorkman, and Patrick R. Huber. Application of Geospatial Ecological Tools and Data in the Planning and Programming Phases of Delivering New Highway Capacity: Proof of Conceptâ€"US-101, California. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22310.

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Gray, Mary, Craig Richey, Yolanda Reynolds, and Kyle Glen. Application of Geospatial Ecological Tools and Data in the Planning and Programming Phases of Delivering New Highway Capacity: Proof of Conceptâ€"Contra Costa County Transportation Authority. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22260.

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Diamond, Mary Grace Lewandowski and David. Application of Geospatial Ecological Tools and Data in the Planning and Programming Phases of Delivering New Highway Capacity: Proof of Conceptâ€"East-West Gateway Council of Governments. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22309.

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Book chapters on the topic "Geospatial application"

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Albrecht, Jochen, and Clare Davies. "Application Planning." In Interacting with Geospatial Technologies. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470689813.ch7.

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Shekhar, Shashi, and Hui Xiong. "Modeling Geospatial Application Database." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_807.

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Gail, William B. "Application of Virtual Worlds to Environmental Security." In GeoSpatial Visual Analytics. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2899-0_27.

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Abas, Sara, and Malika Addou. "Geospatial Forecasting and Social Media Exploration Based on Sentiment Analysis: Application to Flood Forecasting." In Geospatial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80458-9_2.

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Aurambout, Jean-Philippe, Falak Sheth, Ian Bishop, and Christopher Pettit. "Simplifying Climate Change Communication: An Application of Data Visualisation at the Regional and Local Scale." In Geospatial Visualisation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-12289-7_6.

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Cristea, Paul Dan. "Application of Neural Networks In Image Processing and Visualization." In GeoSpatial Visual Analytics. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2899-0_5.

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Yang, Chaowei, Pinde Fu, Michael F. Goodchild, and Chen Xu. "Integrating GIScience Application Through Mashup." In CyberGIS for Geospatial Discovery and Innovation. Springer Netherlands, 2018. http://dx.doi.org/10.1007/978-94-024-1531-5_6.

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Torres, Miguel, Serguei Levachkine, Marco Moreno, Rolando Quintero, and Giovanni Guzmán. "Retrieving Geospatial Information into a Web-Mapping Application Using Geospatial Ontologies." In Agent and Multi-Agent Systems: Technologies and Applications. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72830-6_28.

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Czajkowski, Kevin P., April Ames, Bhuiyan Alam, et al. "Application of GIS in Evaluating the Potential Impacts of Land Application of Biosolids on Human Health." In Geospatial Technologies in Environmental Management. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9525-1_10.

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Panda, Samikshya, Vijay Shankar Yadav, and Vinod Kumar Tripathi. "Application of Remote Sensing in Natural Resource Management." In Sustainable Development and Geospatial Technology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65703-0_11.

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Conference papers on the topic "Geospatial application"

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Li, Zhao, Nan Liu, Renyi Liu, and Weizheng Bao. "Application of WebGIS in CATV basic network." In Geoinformatics 2006: Geospatial Information Technology, edited by Huayi Wu and Qing Zhu. SPIE, 2006. http://dx.doi.org/10.1117/12.713207.

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Deng, Yuejin, Yushu Cheng, and Lianwen Jing. "The future application of GML database in GIS." In Geoinformatics 2006: Geospatial Information Technology, edited by Huayi Wu and Qing Zhu. SPIE, 2006. http://dx.doi.org/10.1117/12.712948.

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Jiao, Sihong, and Yonghua Qu. "Knowledge discovery from database and its application in remote sensing inversion." In Geoinformatics 2006: Geospatial Information Science, edited by Jianya Gong and Jingxiong Zhang. SPIE, 2006. http://dx.doi.org/10.1117/12.712961.

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Zheng, Liang, Deren Li, and Shuangfeng Wei. "The application and research of an improved event-based spatio-temporal data model." In Geoinformatics 2006: Geospatial Information Science, edited by Jianya Gong and Jingxiong Zhang. SPIE, 2006. http://dx.doi.org/10.1117/12.712652.

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Sun, Qinghui, Tianhe Chi, and Dawei Zhong. "Application of the attribute recognition method for the evaluation of spatial data quality." In Geoinformatics 2006: Geospatial Information Science, edited by Jianya Gong and Jingxiong Zhang. SPIE, 2006. http://dx.doi.org/10.1117/12.712959.

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Ma, Leilei, Hongwei Li, Shiwei Lian, Zhenyu Wang, and Haitao Wang. "Expression and application of geospatial relation ontology." In 2013 21st International Conference on Geoinformatics. IEEE, 2013. http://dx.doi.org/10.1109/geoinformatics.2013.6626183.

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Yu, Xu, Quanqin Shao, Yunhai Zhu, Yuejin Deng, and Haijun Yang. "Research on key technologies for data-interoperability-based metadata, data compression and encryption, and their application." In Geoinformatics 2006: Geospatial Information Technology, edited by Huayi Wu and Qing Zhu. SPIE, 2006. http://dx.doi.org/10.1117/12.712647.

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He, Jin, and Lifan Fei. "Three-dimensional Douglas-Peucker algorithm and the study on its application to automated generalization of DEM." In Geoinformatics 2006: Geospatial Information Science, edited by Jianya Gong and Jingxiong Zhang. SPIE, 2006. http://dx.doi.org/10.1117/12.712713.

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Chen, Jie, and Feng Lu. "Analysis of spatial configuration of the Palace Museum: an application of the axial-based space syntax." In Geoinformatics 2006: Geospatial Information Science, edited by Jianya Gong and Jingxiong Zhang. SPIE, 2006. http://dx.doi.org/10.1117/12.712916.

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Cheng, Penggen, Xingquan Liu, Jianya Gong, and Shaohua Liu. "A hybrid 3D data model based on multi-DEMs and QTPVs and its application in geology modeling." In Geoinformatics 2006: Geospatial Information Science, edited by Jianya Gong and Jingxiong Zhang. SPIE, 2006. http://dx.doi.org/10.1117/12.712614.

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Reports on the topic "Geospatial application"

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Saltus, Christina, Todd Swannack, and S. McKay. Geospatial Suitability Indices Toolbox (GSI Toolbox). Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41881.

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Habitat suitability models are widely adopted in ecosystem management and restoration, where these index models are used to assess environmental impacts and benefits based on the quantity and quality of a given habitat. Many spatially distributed ecological processes require application of suitability models within a geographic information system (GIS). Here, we present a geospatial toolbox for assessing habitat suitability. The Geospatial Suitability Indices (GSI) toolbox was developed in ArcGIS Pro 2.7 using the Python® 3.7 programming language and is available for use on the local desktop i
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Saltus, Christina, S. McKay, and Todd Swannack. Geospatial suitability indices (GSI) toolbox : user's guide. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45128.

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Habitat suitability models have been widely adopted in ecosystem management and restoration to assess environmental impacts and benefits according to the quantity and quality of a given habitat. Many spatially distributed ecological processes require application of suitability models within a geographic information system (GIS). This technical report presents a geospatial toolbox for assessing habitat suitability. The geospatial suitability indices (GSI) toolbox was developed in ArcGIS Pro 2.7 using the Python 3.7 programming language and is available for use on the local desktop in the Window
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Jackson, Sam S., Richard A. Fischer, Michael P. Guilfoyle, and James S. Wakeley. Evaluation of Remotely Sensed Data for the Application of Geospatial Techniques to Assess Hurricane Impacts on Coastal Bird Habitat. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada508439.

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Lawley, C. J. M., P. Giddy, L. Katz, et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/pf995j5tgu.

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The Canada Geological Map Compilation (CGMC) is a database of previously published bedrock geological maps sourced from provincial, territorial, and other geological survey organizations. The geoscientific information included within these source geological maps was standardized, translated to English, and combined to provide complete coverage of Canada and support a range of down-stream machine learning applications. Detailed lithological, mineralogical, metamorphic, lithostratigraphic, and lithodemic information was not previously available as one national-scale product. The source map data
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Lawley, C. J. M., P. Giddy, L. Katz, et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332596.

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The Canada Geological Map Compilation (CGMC) is a database of previously published bedrock geological maps sourced from provincial, territorial, and other geological survey organizations. The geoscientific information included within these source geological maps was standardized, translated to English, and combined to provide complete coverage of Canada and support a range of down-stream machine learning applications. Detailed lithological, mineralogical, metamorphic, lithostratigraphic, and lithodemic information was not previously available as one national-scale product. The source map data
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Ruby, Jeffrey, Richard Massaro, John Anderson, and Robert Fischer. Three-dimensional geospatial product generation from tactical sources, co-registration assessment, and considerations. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46442.

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According to Army Multi-Domain Operations (MDO) doctrine, generating timely, accurate, and exploitable geospatial products from tactical platforms is a critical capability to meet threats. The US Army Corps of Engineers, Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL) is carrying out 6.2 research to facilitate the creation of three-dimensional (3D) products from tactical sensors to include full-motion video, framing cameras, and sensors integrated on small Unmanned Aerial Systems (sUAS). This report describes an ERDC-GRL processing pipeline comprising custom
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7

Tripathi, Poonam, Manish Shrestha, Deepak Kumar Shah, and Kiran Shakya. Using Earth observation and geospatial applications for disaster preparednessv - training manual. International Centre for Integrated Mountain Development (ICIMOD), 2023. http://dx.doi.org/10.53055/icimod.1021.

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This manual has been prepared for use by the disaster management community. It introduces remote sensing and geospatial concepts, ICIMOD’s science applications and their applications in disaster preparedness. The manual’s contents were used in training sessions on using Earth observation and geospatial applications for disaster preparedness in Nepal. It provides a step-by-step guide to using free and open-source geospatial software, remote sensing data, and ICIMOD’s science applications for preparedness, management, and risk reduction of disasters. It uses examples and sample datasets from Nep
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Blundell, S. Micro-terrain and canopy feature extraction by breakline and differencing analysis of gridded elevation models : identifying terrain model discontinuities with application to off-road mobility modeling. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40185.

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Elevation models derived from high-resolution airborne lidar scanners provide an added dimension for identification and extraction of micro-terrain features characterized by topographic discontinuities or breaklines. Gridded digital surface models created from first-return lidar pulses are often combined with lidar-derived bare-earth models to extract vegetation features by model differencing. However, vegetative canopy can also be extracted from the digital surface model alone through breakline analysis by taking advantage of the fine-scale changes in slope that are detectable in high-resolut
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Deeb, Elias, Christopher Polashenski, Zoe Courville, et al. Geospatial snow estimation for engineering applications and operations. Engineer Research and Development Center (U.S.), 2020. http://dx.doi.org/10.21079/11681/37615.

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Ruby, Jeffrey, Robert Fischer, Richard Massaro, et al. Optimization strategies for geospatial data on end-user devices. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49359.

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The ability to quickly disseminate geospatial data across all echelons, particularly those at the tactical edge, is critical to meeting threats described by the Multi-Domain Operations doctrine. The US Army Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL), is researching the optimization of the formats, data models, file sizes, and quality of geospatial products to be exploited by end-user devices (EUDs). This report describes a processing methodology comprising custom software and open-source tools to optimize Army Geospatial Enterprise Standard Sharable Geo
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