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  • PERS_March2015_Flipping
    discuss issues pertaining to ASPRS Student Members What do they do Organize special sessions of interest to students at ASPRS Annual and fall conferences http www asprs org Annual Conferences Program Create networking opportunities during those conferences and bring together students looking for employment after graduation with potential employers in the industry Inaugurate new programs within ASPRS Design activities such as the GeoLeague Competition where students compete in teams using geospatial technology applications to solve a problem http www asprs org Students GeoLeague Challenge 2014 html Promote student involvement in humanitarian projects such as crowdsourcing the manual interpretation of imagery in Somalia to identify shelters that are being used as homes by refugees http irevolution net tag tomnod All ASPRS Student Members are encouraged to become involved with SAC Check out the SAC Social Networking sites and keep up with ongoing news Student Newsletter http asprssignature blogspot com Facebook page https www facebook com pages ASPRS Student Advisory Council 117943608233122 LinkedIn Group http www linkedin com groups home gid 2487675 trk anet ug hm Email asprs chairsac gmail com The ASPRS Student Advisory Council SAC ensuring Student Member representation in ASPRS and more THE IMAGING GEOSPATIAL INFORMATION SOCIETY STUDENT ADVISORY

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  • PERS_March2015_Flipping
    8 2015 THE IMAGING GEOSPATIAL INFORMATION SOCIETY SEO Version Warning You are currently viewing the SEO version of text It has a number of design and functionality limitations We recommend viewing the Flash version or the basic HTML version of

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  • PERS_March2015_Flipping
    Annual Meetings and Specialty Conferences Discounts on ASPRS Workshops Receipt of Region Newsletter Region specialty conferences workshops technical tours and social events Opportunity to participate in ISPRS activities Invitations to Technical Committee and Division meetings Local regional national and international networking opportunities Eligibility for over 18 000 in National and Region awards scholarships and fellowships Opportunity to Access the ASPRS Membership Directory on the internet search for other active individual

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  • PERS_March2015_Flipping
    tamarisk canopies and analysis of the spectral signatures of these canopy types 209 Quaternion Based Solutions for the Single Photo Resection Problem Mehdi Mazaheri and Ayman Habib Three quaternion based solutions for the SPR problem are presented and evaluated in this paper 219 Accuracy Analysis of a Dual Camera System with an Asymmetric Photogrammetric Configuration Bo Wu Lei Ye and Yuansheng Yang A dual camera system with an asymmetric photogrammetric configuration is presented and its measur ement accuracy is analyzed through theoretical derivation Monte Carlo simulation and actual experiments 229 Mapping Irrigated Farmlands Using Vegetation and Thermal Thresholds Derived from Landsat and ASTER Data i n an Irrigation District of Australia Mohammad Abuzar Andy McAllister and Des Whitfield Detecting and mapping irrigated farmlands and defining land cover classes by using matrices of sa tellite based seasonal surface temperature and vegetation status 239 Small Lan dslide Susceptibility and Hazard Assessment Based on Airborne Lidar Data Omar E M ora J ung kuan Liu M Gabriela Lenzano Charles K Toth and Dorota A Grejne r Brzezinska A method to ext ract identify and map small landslide surface features from an airborne lidar derived DEM APPLICATIONS PAPER COLUMNS Letter from Heather Staverman CMP

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  • PERS_March2015_Flipping
    Canada 1 013 00 Printed Subscription Only for Other Foreign 974 00 Note e Subscription Printed Subscription Only e Subscription Plus Print for Can ada include 5 of the total amount for Canada s Goods and Services Tax GST 135123065 POSTMASTER Send address changes to PE RS ASPRS Headquarters 5410 Grosvenor Lane Suite 210 Bethesda Maryland 20814 2144 CDN CPM 40020812 MEMBERSHIP Membership is open to any person actively engaged in the practice of photogrammetry photointerpretation remote sensing and geo graphic information systems or who by means of education or profession is interested in the application or development of these arts and sciences Membership is for one year with renewal based on the anniversary date of the month joined Membership Dues include a 12 month subscription to PE RS Subscription is part of membership benefits and cannot be deducted from annual dues Beginning with the January 2014 issue of PE RS all members outside of the USA will receive access to the full digital edition of the journal rather than the printed copy Dues for ASPRS Members outside of the U S will now be the same as for members residing in the U S Annual dues for Regular members Active Member is 150 for Student members it is 50 for USA and Canada 60 for Other Foreign E Journal No hard copy for all Students for Associate Members it is 100 member must be under the age of 35 see description on application in the back of this Journal A tax of 5 for Canada s Goods and Service Tax GST 135123065 is applied to all members residing in Canada COPYRIGHT 2015 Copyright by the American Society for Photogrammetry and Remote Sensing Reproduction of this issue or any part thereof except short quotations for use in preparing technical and scientific papers may be made only after obtaining the specific approval of the Managing Editor The Society is not responsible for any statements made or opinions expressed in technical papers advertisements or other portions of this publication Printed in the United States of America PERMISSION TO PHOTOCOPY The appearance of the code at the bottom of the first page of an article in this journal indicates the copyright owner s consent that copies of the article may be made for personal or internal use or for the personal or internal use of specific clients This consent is given on the condi tion however that the copier pay the stated per copy fee of 3 00 through the Copyright Clearance Center Inc 222 Rosewood Drive Danvers Massachu setts 01923 for copying beyond that permitted by Sections 107 or 108 of the U S Copyright Law This consent does not extend to other kinds of copying such as copying for general distribution for advertising or promotional pur poses for creating new collective works or for resale LETTER FROM HEATHER STAVERMAN CMP ASSISTANT COMMUNICATIONS DIRECTOR AND MEETINGS MANAGER continued on page 188 Dear Readers ASPRS Conferences are Changing RE Designed RE Imagined and

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  • PERS_March2015_Flipping
    standards the new standards are independent of scale and contour interval they address the higher level of accuracies achievable by the latest technologies e g unmanned aerial systems and lidar mobile mapping systems and they provide enough flexibility to be applicable to future technologies as they are developed Finally the new standards provide cross references to older standards as well as detailed guidance for a wide range of potential applications I ntroduction Effective in November 2014 the ASPRS Positional Accuracy Standards for Digital Geospatial Data 2014 replaced the ASPRS Accuracy Standards for Large Scale Maps 1990 and the ASPRS Guidelines Vertical Accuracy Reporting for Lidar Data 2004 This standard was developed by the ASPRS Map Accuracy Standards Working Group a joint committee under the Photogrammetric Applications Division Primary Data Acquisition Division and Lidar Division which was formed for the purpose of reviewing and updating ASPRS map accuracy standards to reflect current technologies A subcommittee of this group consisting of Dr Qassim Abdullah Dr David Maune Doug Smith and Hans Karl Heidemann was responsible for drafting the document Draft versions of the standard underwent extensive review both within ASPRS as well as through public review by other key geospatial mapping organizations prior to final approval by the ASPRS Board of Directors on November 17 2014 The new standard is available at http www asprs org Standards Activities html the ASPRS Standards web page Readers can then navigate to the ASPRS Positional Accuracy Standards for Digital Geospatial Data Developed to address current technologies this standard includes positional accuracy standards for digital orthoimagery digital planimetric data and digital elevation data The standard follows metric measurement units to make it consistent with the international standards and practices Accuracy classes based on RMSE values have been revised and upgraded from the 1990 standard to address

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  • PERS_March2015_Flipping
    represented by a normal distribution the 95 th percentile value more fairly estimates accuracy at a 95 confidence level For these reasons vertical accuracy is to be assessed using RMSE z statistics in non vegetated terrain and 95 th percentile statistics in vegetated terrain Elevation data sets shall also be assessed for horizontal accuracy where possible With the exception of vertical data in vegetated terrain error thresholds stated in this standard are presented in terms of the maximum acceptable RMSE value Corresponding estimates of accuracy at the 95 confidence level values are computed using National Standard for Spatial Data Accuracy NSSDA methodologies and are subject to the limitations that the data be normally distributed and with systematic bias removed such that the mean error of the data is small A ccuracy R equirements for A erial T riangulation and G round C ontrol P oints The standard introduces for the first time accuracy measures for the ground control used in aerial triangulation and for the results of the aerial triangulation itself The standard distinguishes between accuracy requirements for the ground control based on the final products derived from the process Two different requirements are specified those are Accuracy of ground control designed for planimetric data orthoimagery and or digital planimetric map production only RMSE x or RMSE y ¼ RMSE x Map or RMSE y Map RMSE z ½ RMSE x Map or RMSE y Map Accuracy of ground control designed for elevation data or planimetric data and elevation data production RMSE x RMSE y or RMSE z ¼ RMSE x Map RMSE y Map or RMSE z DEM As for the measure of accuracy for aerial triangulation the standard also based it on the intended final products derived from the process Two different requirements are specified those are Accuracy of aerial triangulation designed for digital planimetric data orthoimagery and or digital planimetric map only RMSE x AT or RMSE y AT ½ RMSE x Map or RMSE y Map RMSE z AT RMSE x Map or RMSE y Map of orthoimagery Accuracy of aerial triangulation designed for elevation data or planimetric data orthoimagery and or digital planimetric map and elevation data production RMSE x AT RMSE y AT or RMSE z AT ½ RMSE x Map RMSE y Map or RMSE z DEM H orizontal A ccuracy S tandards for G eospatial D ata Table 1 specifies the primary horizontal accuracy standard for digital data including digital orthoimagery digital planimetric data and scaled planimetric maps This standard defines horizontal accuracy classes in terms of their RMSE x and RMSE y values While prior ASPRS standards used numerical ranks for discrete accuracy classes tied directly to map scale i e Class 1 Class 2 etc many modern applications require more flexibility than these classes allowed For example using the new standard a Scope of work could specify that digital orthoimagery digital planimetric data or scaled maps must be produced to meet ASPRS Accuracy Standards for 7 5 cm RMSE x

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  • PERS_March2015_Flipping
    3 1 2 5 3 5 5 0 6 1 5 0 7 1 10 0 12 2 7 5 10 6 15 0 18 4 10 0 14 1 20 0 24 5 12 5 17 7 25 0 30 6 15 0 21 2 30 0 36 7 17 5 24 7 35 0 42 8 20 0 28 3 40 0 49 0 22 5 31 8 45 0 55 1 25 0 35 4 50 0 61 2 27 5 38 9 55 0 67 3 30 0 42 4 60 0 73 4 45 0 63 6 90 0 110 1 60 0 84 9 120 0 146 9 75 0 106 1 150 0 183 6 100 0 141 4 200 0 244 8 150 0 212 1 300 0 367 2 200 0 282 8 400 0 489 5 250 0 353 6 500 0 611 9 300 0 424 3 600 0 734 3 500 0 707 1 1000 0 1223 9 1000 0 1414 2 2000 0 2447 7 surfaces The NVA based on an RMSE z multiplier should be used only in non vegetated terrain where elevation errors typically follow a normal error distribution RMSE z based statistics should not be used to estimate vertical accuracy in vegetated terrain or where elevation errors often do not follow a normal distribution The Vegetated Vertical Accuracy at the 95 confidence level in vegetated terrain VVA is computed as the 95 th percentile of the absolute value of vertical errors in all vegetated land cover categories combined including tall weeds and crops brush lands and fully forested areas For all vertical accuracy classes the VVA standard is 3 0 times the accuracy value of the Vertical Accuracy Class Both the RMSE z and

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