DOCSLIB.ORG

Digital Mapping Techniques ‘02— Workshop Proceedings

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Digital Mapping Techniques ‘02— Workshop Proceedings cov02 5/20/03 3:19 PM Page 1 So Digital Mapping Techniques ‘02— Workshop Proceedings May 19-22, 2002 Salt Lake City, Utah Convened by the Association of American State Geologists and the United States Geological Survey Hosted by the Utah Geological Survey U.S. GEOLOGICAL SURVEY OPEN-FILE REPORT 02-370 Printed on recycled paper CONTENTS I U.S. Department of the Interior U.S. Geological Survey Digital Mapping Techniques ʻ02— Workshop Proceedings Edited by David R. Soller May 19-22, 2002 Salt Lake City, Utah Convened by the Association of American State Geologists and the United States Geological Survey Hosted by the Utah Geological Survey U.S. GEOLOGICAL SURVEY OPEN-FILE REPORT 02-370 2002 II CONTENTS CONTENTS III This report is preliminary and has not been reviewed for conformity with the U.S. Geological Survey editorial standards. Any use of trade, product, or firm names in this publication is for descriptive purposes only and does not imply endorsement by the U.S. Government or State governments II CONTENTS CONTENTS III CONTENTS Introduction By David R. Soller (U.S. Geological Survey). 1 Oral Presentations The Value of Geologic Maps and the Need for Digitally Vectorized Data By James C. Cobb (Kentucky Geological Survey) . 3 Compilation of a 1:24,000-Scale Geologic Map Database, Phoenix Metropoli- tan Area By Stephen M. Richard and Tim R. Orr (Arizona Geological Survey). 7 Distributed Spatial Databases—The MIDCARB Carbon Sequestration Project By Gerald A. Weisenfluh (Kentucky Geological Survey), Nathan K. Eaton (Indiana Geological Survey), and Ken Nelson (Kansas Geological Survey) . 13 Developing a Working Database for Mapping and Modeling in Illinois By Barbara Stiff (Illinois State Geological Survey) . 21 Surveyors and GIS Professionals Reach Accord By Bruce A. Joffe (GIS Consultants) . 29 Field Description of the Scientific and Locational Accuracy of Geologic Fea- tures (a Part of the Draft FGDC Geologic Map Symbolization Standard) By David R. Soller, Taryn A. Lindquist, and Jonathan C. Matti (U.S. Geological Survey) . 33 Progress Report: North American Geologic Map Data Model Design Team By the Data Model Design Team. 41 A Scalable, Digital Map Database of Bedrock Geology for Canada: A Progress Report By Peter Davenport (Geological Survey of Canada), Eric Boisvert, Marianne Quat, Andy Okulitch, Boyan Brodaric, Stephen Colman-Sadd, Larry Nolan, Bert Struik, Don MacIntyre, Ping Tzeng, David Scott, Celine Gilbert, Grant Abbott, Andrea Bassan, Murray Journeay, Jodie Francis, and Terry Houlahan . 47 A Geologic Gazetteer of the Lake Tahoe Region By Jordan Hastings and Ada Otter (University of California, Santa Barbara) . 67 The National Geologic Map Database: A Progress Report By David R. Soller (U.S. Geological Survey) and Thomas M. Berg (Ohio Geological Survey) . 75 The I-Team Initiative and Geology Framework Layers—Making Sure Geol- ogy Is Included By Patrick J. Kennelly (Montana Bureau of Mines and Geology) and Grant C. Willis (Utah Geological Survey) . 85 MRLC2000 Image Data and Geologic Mapping By Ronald R. Wahl and David A. Sawyer (U.S. Geological Survey) . 91 III IV CONTENTS CONTENTS V The National Park Service Geologic Resources Inventory: An Update By Tim Connors (National Park Service), Stephanie A. OʼMeara (Colorado State University/National Park Service), Trista L. Thornberry, Joe D. Gregson, Anne R. Poole, and Bruce Heise (National Park Service) . 97 Scanning and Delivery of Historic Maps Over the Web: The Library of Con- gress Experience By Colleen R. Cahill, Gene E. Roberts, and Diane Schug-OʼNeill (Library of Congress) . 99 The Alaska DGGS Scanning Project: Conception, Execution, and Reality By Gail Davidson, Lauren Staft, and E. Ellen Daley (Alaska Division of Geological & Geophysical Surveys) . 105 New Tricks for Old Dogs: A Digital Technique for Producing Mylar Base Maps for Geologic Mapping and Compilation By Adam S. Read, David J. McCraw, and Geoffrey Rawling (New Mexico Bureau of Geology and Mineral Resources) . 111 Computer-Aided Structure-Contour Mapping in Support of the Ohio Division of Geological Survey Bedrock-Geology Program By James McDonald (Ohio Geological Survey) . 119 Digitial Geologic Field Mapping Using ArcPad By Gary P. Edmondo (MinGIS). 129 Techniques for Improved Geologic Modeling By Donald A. Keefer (Illinois State Geological Survey) . 135 GeoMapper Program for Paperless Field Mapping With Seamless Map Production in ESRI ArcMap and GeoLogger for Drill-Hole Data Capture: Applications in Geology, Astronomy, Environmental Remediation, and Raised-Relief Models By George H Brimhall, Abel Vanegas, and Derek Lerch (University of California, Berkeley) . 141 Overcoming Institutional Barriers to GIS Coordination: Building a State GIS Council—The Alabama Experience By Berry H. (Nick) Tew, Jr. (Geological Survey of Alabama) . 153 Vendor Presentations and Contact Information. 155 Poster Presentations Alaska Division of Geological & Geophysical Surveys Geologic Database Development—Logical Model By Larry Freeman (Alaska Division of Geological & Geophysical Surveys), Kathryn Engle (GeoNorth, LLC), and Carrie Browne (Alaska Division of Geological & Geophysical Surveys) . 157 Using NADM in a Distributed Framework By Eric Boisvert, Annie Morin, and Martin Anctil (Geological Survey of Canada) . 161 Got Digital Map Data. Now What? How the Idaho Geological Survey Distrib- utes Digital Geologic Map Data By B. Benjamin E. Studer and Loudon R. Stanford (Idaho Geological Survey) . 169 IV CONTENTS CONTENTS V Digital Archives and Metadata as Mechanisms to Preserve Institutional Memory By John C. Steinmetz, Richard T. Hill, and Kimberly H. Sowder (Indiana Geological Survey) . 171 Mapping Aquifer Sensitivity in Tazewell County, Illinois By Patrick D. Johnstone (Illinois State Geological Survey) . 177 Visualizing the Uncertainty of Geologic Maps By Patrick J. Kennelly (Montana Bureau of Mines and Geology) . 181 From Paper to Digital: A Geologic Mapʼs Odyssey By Stephanie A. OʼMeara (National Park Service/Colorado State University), Tim Connors, Trista L. Thornberry, Joe D. Gregson, Anne R. Poole, and Bruce Heise (National Park Service) . 189 Cartographic Observations from Production of the Surficial Geologic Map of Northern New Jersey By James R. Estabrook, D. Paul Mathieux, and Will R. Stettner (U.S. Geological Survey) . 199 Raster to Vector Conversion of Geologic Maps: Using R2V from Able Soft- ware Corporation By Kent D. Brown (Utah Geological Survey). 203 Ground-Water Quality Classification Using GIS Contouring Methods for Cedar Valley, Iron County, Utah By Matt Butler, Janae Wallace, and Mike Lowe (Utah Geological Survey). 207 Appendix A. List of Workshop Attendees . 209 Appendix B. Workshop Web Site. 211 Appendix C. List of Addresses, Telephone Numbers, and URLʼs for Software and Hardware Suppliers . 213 VI CONTENTS 1 VI CONTENTS 1 Introduction By David R. Soller U.S. Geological Survey 908 National Center Reston, VA 20192 Telephone: (703) 648-6907 Fax: (703) 648-6937 e-mail: [email protected] The Digital Mapping Techniques ʻ02 (DMTʻ02) addition, special presentations were provided on building workshop was attended by 101 technical experts from a statewide GIS council, incorporating geology as a NSDI 43 agencies, universities, and private companies, includ- Framework layer, and resolving the roles of surveyors and ing representatives from 25 state geological surveys (see GIS professionals. Appendix A). This workshop was similar in nature to the previous five meetings, held in Lawrence, Kansas (Soller, ACKNOWLEDGMENTS 1997), in Champaign, Illinois (Soller, 1998a), in Madi- son, Wisconsin (Soller, 1999), in Lexington, Kentucky I thank the Utah Geological Survey (UGS) and their (Soller, 2000), and in Tuscaloosa, Alabama (Soller, 2001). Director and State Geologist, Rick Allis, for hosting this This yearʼs meeting was hosted by the Utah Geological meeting. In the tradition of past DMT meetings, it was Survey, from May 19 to 22, 2002, on the University of quite productive and enjoyable. I especially thank Grant Utah campus in Salt Lake City. As in the previous meet- Willis and Kent Brown (UGS), who coordinated the meet- ings, the objective was to foster informal discussion and ing, provided excellent support for the attendees, offered exchange of technical information. When an attendee an entertaining range of technical and social activities adopts or modifies a newly learned technique on the basis (e.g., a pre-meeting field demonstration of GPS-GIS of discussions at the workshop, the workshop clearly has tools), and managed the meetingʼs Web site (see Appendix met that objective. Evidence of learning and cooperation B). Thanks also to Cheryl Ostlund, Jo Lynn Campbell, among participating agencies continued to be a highlight and Mike Wright (UGS), Jan McEwan, Roni Whittle, of the DMT workshops (see example in Soller, 1998b, and and Ryan Halstenrud (Huntsman Cancer Institute), Lesle various papers in this volume). Wells (The Point Restaurant), and Wes Christianson (Uni- All the DMT workshops have been coordinated by versity of Utah), for helping with the meeting planning, the Association of American State Geologists (AASG) logistics, audiovisual presentation, vehicles, and meals. and the U.S. Geological Survey (USGS) Data Capture For the impressive tour of the Kennecott Mine, I thank Working Group, which was formed in August 1996 to Geoff Bedell, Stan Nelson, and Tracy Smith (Kennecott support the AASG and the USGS in their effort to build Utah Copper Corporation). a National Geologic Map Database (see Soller
Load more

Recommended publications
  • Towards Integrated Oil and Gas Databases in Iraq
    Towards Integrated Oil and Gas Databases in Iraq Dr. Zaid Haba Senior Information Technology Consultant December 2012 Introduction The oil and gas industry has to deal with huge amount of data throughout the lifecycle of the exploration, drilling, logging, production, refining, transportation, distribution and marketing of crude oil and gas, and has a voracious appetite for data. Exploration and Production (E&P) departments acquire Tera (1012) Bytes of seismic data which is processed to produce new projects, creating exponential growth of information. Furthermore, this data is increasingly acquired in 3 or 4 dimensions, creating some of the most challenging archiving and backup data management scenarios of any industry. The international oil industry has traditionally been at the forefront in the utilization of state-of-the art information technology tools for all aspects of its processes and operations, to manage the manipulation, storage and access of this data. This data covers: • Surveys data • Geological maps • Seismic data • Drilling and completion data • Wells data including logs • Reservoirs data • Production information • Infrastructure information • Crude oil analysis data • Leases This paper focuses on the vital importance of establishing and maintaining integrated oil databases for the oil industry in Iraq covering upstream activities. Much of the oil and gas data presently exist in various formats such as paper, maps, computer tapes, photographs, and computer disk files. These data are seriously under threat due to the age of some documents, maps, photographs and even electronic records, and the fact that much of the data are scattered in various locations so they are difficult to access centrally and by different technical roles in the E&P organizations.
    [Show full text]
  • Digital Mapping & Spatial Analysis
    Digital Mapping & Spatial Analysis Zach Silvia Graduate Community of Learning Rachel Starry April 17, 2018 Andrew Tharler Workshop Agenda 1. Visualizing Spatial Data (Andrew) 2. Storytelling with Maps (Rachel) 3. Archaeological Application of GIS (Zach) CARTO ● Map, Interact, Analyze ● Example 1: Bryn Mawr dining options ● Example 2: Carpenter Carrel Project ● Example 3: Terracotta Altars from Morgantina Leaflet: A JavaScript Library http://leafletjs.com Storytelling with maps #1: OdysseyJS (CartoDB) Platform Germany’s way through the World Cup 2014 Tutorial Storytelling with maps #2: Story Maps (ArcGIS) Platform Indiana Limestone (example 1) Ancient Wonders (example 2) Mapping Spatial Data with ArcGIS - Mapping in GIS Basics - Archaeological Applications - Topographic Applications Mapping Spatial Data with ArcGIS What is GIS - Geographic Information System? A geographic information system (GIS) is a framework for gathering, managing, and analyzing data. Rooted in the science of geography, GIS integrates many types of data. It analyzes spatial location and organizes layers of information into visualizations using maps and 3D scenes. With this unique capability, GIS reveals deeper insights into spatial data, such as patterns, relationships, and situations - helping users make smarter decisions. - ESRI GIS dictionary. - ArcGIS by ESRI - industry standard, expensive, intuitive functionality, PC - Q-GIS - open source, industry standard, less than intuitive, Mac and PC - GRASS - developed by the US military, open source - AutoDESK - counterpart to AutoCAD for topography Types of Spatial Data in ArcGIS: Basics Every feature on the planet has its own unique latitude and longitude coordinates: Houses, trees, streets, archaeological finds, you! How do we collect this information? - Remote Sensing: Aerial photography, satellite imaging, LIDAR - On-site Observation: total station data, ground penetrating radar, GPS Types of Spatial Data in ArcGIS: Basics Raster vs.
    [Show full text]
  • Ar2011 02 Briefing Papers for Web.Indd
    ALASKA DIVISION OF GEOLOGICAL & GEOPHYSICAL SURVEYS FY12 Project Description DIGITAL GEOLOGIC DATABASE PROJECT In 2000, the Alaska Division of Geological & Geophysical Surveys (DGGS) saw an urgent need to develop a geologic database system to provide the architecture for consistent data input and organization. That database system now includes data identifica- tion and retrieval functions that guide and encourage users to access geologic data online. This project was initiated as part of the federally funded Minerals Data and Information Rescue in Alaska (MDIRA) program; ongoing data input, use, and maintenance of the database system are now an integral part of DGGS’s operations supported by State General Funds. DGGS’s digital geologic database (Geologic & Earth Resources Information Library of Alaska [GERILA]) has three primary objec- tives: (1) Maintain this spatially referenced geologic database system in a centralized data and information architecture with access to new DGGS geologic data; (2) create a functional, map-based, on-line system that allows the public to find and identify the type and geographic locations of geologic data available from DGGS and then retrieve and view or download the selected data along with national-standard metadata (http://www.dggs .alaska .gov/pubs/); and (3) integrate DGGS data with data from other, related geoscience agencies through the multi-agency web portal, http://akgeology.info. During the first 11 years, the project work group established a secure and stable enterprise database structure, started loading data into the database, and created multiple Web-based user interfaces. As a result, the public can access Alaska-related reports and maps published by DGGS, the U.S.
    [Show full text]
  • Databases to Support Gis/Rs Analyses of Earth Systems for Civil Society
    DESIGN AND IMPLEMENTATION OF “FACTUAL” DATABASES TO SUPPORT GIS/RS ANALYSES OF EARTH SYSTEMS FOR CIVIL SOCIETY Tsehaie Woldai * , Ernst Schetselaar Department of Earth Systems Analysis (ESA), International Institute for Geo-information Science and Earth Observation (ITC), P.O. Box 6, 7500 AA, Hengelosestraat 99, ENSCHEDE, The Netherlands, [email protected] , [email protected] KEY WORDS: ‘factual’ databases, field data capture, geographic information systems, geoscience, multidisciplinary surface categorizations, remote sensing ABSTRACT: With the increasing access to various types of remotely sensed and ancillary spatial data, there is a growing demand for an independent source of reliable ground data to systematically support information extraction for gaining an understanding of earth systems. Conventionally maps, ad-hoc sample campaigns or exclusively remotely sensed data are used but these approaches are not well suited for effective data integration. This paper discusses avenues towards alternative methods for field data acquisition geared to the extraction of information from remotely sensed and ancillary spatial datasets from a geoscience perspective. We foresee that the merging of expertise in recently developed mobile technology, database design and thematic geoscientific knowledge, provides the potential to deliver innovative strategies for the acquisition and analysis of ground data that could profoundly alter the methods how we model earth systems today. With further development and maturation of such research methodologies we ultimately envisage a situation where planners and researchers can with the same ease as they nowadays download remotely sensed data over the web, download standardized and reliable ‘factual’ datasets from the surface of the earth to process downloaded remotely sensed data for effective extraction of information.
    [Show full text]
  • E-CONTENT Practical Core Course (GRB CC 202)
    E-CONTENT COMPILED AND DESIGNED BY SABA KHANAM E-CONTENT Practical Core Course THEMATIC CARTOGRAPHY (GRB CC 202) COMPILED AND DESIGNED BY SABA KHANAM DEPARTMENT OF GEOGRAPHY SABA KHANAM E-mail id: [email protected] , Contact no. 8604633742 E-CONTENT COMPILED AND DESIGNED BY SABA KHANAM UNIT III SABA KHANAM E-mail id: [email protected] , Contact no. 8604633742 E-CONTENT COMPILED AND DESIGNED BY SABA KHANAM CARTOGRAPHIC OVERLAYS The objects in a spatial database are representations of real-world entities with associated attributes. The power of a GIS comes from its ability to look at entities in their geographical context and examine relationships between entities. thus a GIS database is much more than a collection of objects and attributes. in this unit we look at the ways a spatial database can be assembled from simple objects. For e.g. how are lines linked together to form complex hydrologic or transportation networks. For e.g. how can points, lines or areas be used to represent more complex entities like surfaces? POINT DATA 1. the simplest type of spatial object 2. choice of entities which will be represented as points depends on the scale of the map/study 3. e.g. on a large scale map - encode building structures as point locations 4. e.g. on a small scale map - encode cities as point locations 5. the coordinates of each point can be stored as two additional attributes 6. information on a set of points can be viewed as an extended attribute table each row is a point - all information about the point is contained in the row each column is an attribute two of the columns are the coordinates overhead - Point data here northing and easting represent y and x coordinates each point is independent of every other point, represented as a separate row in the database model LINE DATA Infrastructure networks transportation networks - highways and railroads utility networks - gas, electric, telephone, water airline networks - hubs and routes canals SABA KHANAM E-mail id: [email protected] , Contact no.
    [Show full text]
  • Direct-To-Digital Mapping Methodology: a Hands-On Guidebook for Applying Google Earth
    Steven DeRoy / The Firelight Group / January 2016 Direct-To-Digital Mapping Methodology: A Hands-on Guidebook for Applying Google Earth Copyright © Steven DeRoy and the Firelight Group (www.thefirelightgroup.com) 1 | Page Table of Contents ACKNOWLEDGEMENTS 4 PURPOSE OF THIS GUIDE 4 PREPARE TO MAP 5 DOWNLOAD AND INSTALL GOOGLE EARTH 5 SET UP YOUR FILE FOLDERS ON YOUR COMPUTER 5 INTERVIEW ROOM SETTING 5 START THE INTERVIEW 5 INTERVIEW CHECK LIST 6 INTERVIEW KIT 6 SET UP GOOGLE EARTH 6 CHECK YOUR EQUIPMENT 6 INFORM THE PARTICIPANT AND MAKE THEM COMFORTABLE 6 BEFORE STARTING THE INTERVIEW 7 REMINDERS DURING THE INTERVIEW 7 INTERVIEW OVERVIEW 8 INTRODUCTIONS 8 MAPPING 8 INTERVIEW 8 STORAGE OF RESULTS 8 MAPPING NOTES 9 OVERVIEW OF GOOGLE EARTH 10 WHAT IS GOOGLE EARTH? 10 WHY USE GOOGLE EARTH? 10 HOW ARE GOOGLE EARTH AND MAPS DIFFERENT? 10 INTRODUCTION TO THE GOOGLE EARTH INTERFACE 11 NAVIGATING IN GOOGLE EARTH 11 SET UP YOUR ENVIRONMENT 12 THE “PLACES” PANEL 13 SET UP FOLDERS TO STORE YOUR DATA 13 ORGANIZE YOUR FOLDERS 14 UNDERSTANDING SCALE 14 Copyright © Steven DeRoy and the Firelight Group (www.thefirelightgroup.com) 2 | Page HOW TO MAP IN GOOGLE EARTH 16 WHAT TO RECORD FOR EACH SITE 16 ADDING POINTS (PLACEMARKS) 16 ADDING LINES (PATHS) 18 ADDING AREAS (POLYGONS) 19 EDITING MAPPED DATA 20 INTERVIEWS CONDUCTED WITH NO MAPPING DATA 20 OVERLAYING DATA FROM PAST STUDIES 21 CLOSING OFF THE INTERVIEW 22 SAVING KMZ FILES 22 COPY AND SAVE ALL DIGITAL AUDIO AND VIDEO FILES TO YOUR LAPTOP/COMPUTER 23 BACKUP YOUR FILES 23 USEFUL RESOURCES 24 Copyright © Steven DeRoy and the Firelight Group (www.thefirelightgroup.com) 3 | Page Acknowledgements Steven DeRoy, Director of the Firelight Group, produced this comprehensive guidebook.
    [Show full text]
  • Geologic Resource Evaluation Scoping Summary for Marsh
    Geologic Resource Evaluation Scoping Summary Marsh-Billings-Rockefeller National Historical Park & Saint-Gaudens National Historic Site Geologic Resources Division National Park Service The Geologic Resource Evaluation (GRE) Program provides each of 270 identified natural area National Park Service (NPS) units with a geologic scoping meeting, a digital geologic map, and a geologic resource evaluation report. Geologic scoping meetings generate an evaluation of the adequacy of existing geologic maps for resource management, provide an opportunity for discussion of park-specific geologic management issues and, if possible, include a site visit with local geologic experts. The purpose of these meetings is to identify geologic mapping coverage and needs, distinctive geologic processes and features, resource management issues, and potential monitoring and research needs. Outcomes of this scoping process are a scoping summary (this report), a digital geologic map, and a geologic resource evaluation report. The National Park Service held a GRE scoping meeting for Marsh-Billings-Rockefeller National Historical Park (MABI) and Saint-Gaudens National Historic Site (SAGA) on July 10, 2007 at the University of Massachusetts, Amherst. Tim Connors (NPS-GRD) facilitated the discussion of map coverage and Bruce Heise (NPS-GRD) led the discussion regarding geologic processes and features at the two units. Participants at the meeting included NPS staff from the parks, Northeast Temperate Network, and Geologic Resources Division, geologists from the University
    [Show full text]
  • Digital Geologic Mapping Methods
    INTERNATIONAL JOURNAL OF GEOLOGY Issue 3, Volume 2, 2008 Digital geologic mapping methods: from field to 3D model M. De Donatis, S. Susini and G. Delmonaco Abstract—Classical geologic mapping is one of the main techniques software 2DMove and 3DMove by Midland Valley Exploration Ltd. used in geology where pencils, paper base map and field book are the This paper reports a case study of digital mapping carried out in traditional tools of field geologists. In this paper, we describe a new the Southern Apennines. This work is part of an ENEA project, method of digital mapping from field work to buiding three funded by the Italian Ministry of University and Research, devoted to dimensional geologic maps, including GIS maps and geologic cross- heritage sites prone to landslide risk where local-scale geologic and sections. The project consisted of detailed geologic mapping of the geomorphic mapping is fundamental in the preliminary stage of the are of Craco village (Matera - Italy). The work started in the lab by project. implementing themes for defining a cartographic base (aerial photos, topographic and geologic maps) and for field work (developing II. Study area symbols for outcrops, dip data, boundaries, faults, and landslide The study area (Fig. 1) is located in the Southern Apennines, types). Special prompts were created ad hoc for data collection. All around Craco, a small village in the Matera Province along a ridge data were located or mapped through GPS. It was possible to easily between the Bruscata and Salandrella stream. store any types of documents (digital pictures, notes, and sketches), linked to an object or a geo-referenced point.
    [Show full text]
  • Digital Earth Based on Metadata Electronic Maps Standard
    DIGITAL EARTH BASED ON METADATA ELECTRONIC MAPS STANDARD Alexander Martynenko 2 build., 44, Vavilova st., Moscow, 117333, Russia, Institute of Informatics Problems, Russian Academy of Sciences, [email protected] Digital Earth was at the center of attention at 19th International Cartographic Conference (Ottawa) and 1st International Symposium on Digital Earth (Beijing) in 1999 [1, 2]. The discussion raised in the papers on the theory of Metadata Standard Systems that could be used in International and National Spatial Information Infrastructures to establish Digital Earth still continues. We highly appreciate the essential contribution made by Chinese scientists: Zhao Yongping, Huang Fang, Guo Jingjun, Feng Quan, Cui Weihong. Since 1990s the Information Society is being created in Russia. Each member of this Society will be able to obtain complete and actual information, including geoinformation, in any point of geographical space, by means of Internet. Today it is obvious that this problem could be solved in most effective way by using electronic libraries of various intent, including electronic map libraries. Completeness, methods and form of geoinformation, temporal factors of the information supply can be considered as the main criteria for evaluating quality of the electronic geoinformation resources. In the process of creating the electronic geoinformation resources, standardization in the area of geoinformation technologies plays the main role. Today, at the boundary of millennia, the Global Geoinformatic Mapping (GGM) appears as the prior direction of scientific and technical progress. Its goal is the cartographic representation of the real world and creation of the global computer model of the Earth, comprised of millions of space images and electronic maps of various subjects and scales, themes and also reference information [3, 4].
    [Show full text]
  • Ogdc)—Release 6
    State of Oregon Oregon Department of Geology and Mineral Industries Ian P. Madin, Interim State Geologist README FILE FOR OREGON GEOLOGIC DATA COMPILATION (OGDC)—RELEASE 6 by Rachel L. Smith1 and Warren P. Roe1 2015 1 Formerly with Oregon Department of Geology and Mineral Industries, 800 NE Oregon St., Ste. 965, Portland, OR 97015 Oregon Geologic Data Compilation Release 6 DISCLAIMER This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. This publication cannot substitute for site-specific investigations by qualified practitioners. Site-specific data may give results that differ from the results shown in the publication. Spatial inaccuracies exist in this data set, and some functionalities of Oregon Geologic Data Compilation have changed from previous versions due to the transition to an Esri®-formatted geodatabase. Known issues include topology errors, small spatial data gaps, typographical errors, incomplete metadata, and other minor errors. Oregon Department of Geology and Mineral Industries | Oregon Geologic Data Compilation, release 6 Published in conformance with ORS 516.030 For additional information: Administrative Offices 800 NE Oregon Street #28, Suite 965 Portland, OR 97232 Telephone (971) 673-1555 Fax (971) 673-1562 http://www.oregongeology.org http://egov.oregon.gov/DOGAMI/ Oregon Department of Geology
    [Show full text]
  • Using Digitized Spacecraft Film and a Revised Lunar Control Network for Photogrammetric Mapping
    USING DIGITIZED SPACECRAFT FILM AND A REVISED LUNAR CONTROL NETWORK FOR PHOTOGRAMMETRIC MAPPING Mark R. Rosiek R.L. Kirk B.A. Archinal T.L. Becker L. Weller B. Redding E. Howington-Kraus D. Galuszka U.S. Geological Survey 2255 N. Gemini Dr Flagstaff AZ 86001 [email protected] ABSTRACT This paper reports on the results of photogrammetric mapping with Lunar Orbiter, Apollo panoramic and Apollo metric camera digitized photographs using modern softcopy digital mapping techniques and a revised lunar control network to establish control. We will report on the differences between Digital Elevation Models (DEMs) collected from Lunar Orbiter, Apollo panoramic and metric camera digitized photographs. Our test area is the Rima Hadley region, which includes the Apollo 15 landing site. This area is covered by multiple sources of data that can be used for comparison and evaluation of accuracy. The original Lunar Orbiter photographs reconstructed in the 1960s had limited utility for mapping due to a stair-step offset in the reconstructed photographs. These images have been re- cently digitized and digitally reconstructed to fit the reseaux and the fiducials to the camera calibration data. The Apollo imagery was previously used to produce topographic maps using different control networks. These previous networks have kilometer-size offsets between them and were also limited in size and accuracy. A revised lunar con- trol network, the Unified Lunar Control Network 2005, improves the accuracy and the density of control points and includes solved-for for elevations of the control points. We find that all the image sets studied provide useful DEMs with minimal requirement for interactive editing but varying tradeoffs between area covered and resolution.
    [Show full text]
  • Digital Soil Mapping and GIS-Based Land Evaluation for Rice Suitability in Kilombero Valley, Tanzania
    Digital Soil Mapping and GIS-based Land Evaluation for Rice Suitability in Kilombero Valley, Tanzania DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Boniface Hussein John Massawe, M.S. Graduate Program in Environment and Natural Resources The Ohio State University 2015 Dissertation Committee: Dr. Brian Slater, Advisor Dr. Warren Dick Dr. Laura Lindsey i Copyrighted by Boniface Hussein John Massawe 2015 ii Abstract A GIS-based multi-criteria land evaluation was performed in Kilombero Valley, Tanzania in order to avail decision makers and farmers with evidence based decision support tool for improved and sustainable rice production in this important region for agricultural investment. Five most important criteria for rice production in the area were identified through literature search and discussion with local agronomists and farmers. The identified criteria were 1) soil properties, 2) surface water resources, 3) accessibility, 4) distance to markets, and 5) topography. Spatial information for these criteria for the study area was generated. To generate spatial soil information, field survey and lab analysis was conducted using base map generated from a legacy soil map and 30 m Digital Elevation Model (DEM). OSACA, a k-means based clustering application was used to perform distance metric numerical classification of soil profiles. The profiles were classified into 13 clusters. The clusters were demonstrated to be different from each other through comparison of modeled continuous vertical variability of selected attributes of modal soil cluster centroids by using equal area spline functions. Two decision tree based algorithms, J48 and Random Forest (RF) were applied to construct models to spatially predict the soil clusters using environmental correlates derived from 30 m DEM, 5 m RapidEye satellite ii image and legacy soil map using the scorpan digital soil mapping framework.
    [Show full text]