Acceptation of Earth observation information by GIS users National Aerospace Laboratory, Space Department UNIGIS intake march 2002 Edwin Wisse 16 June.

Slides:



Advertisements
Similar presentations
Future Directions and Initiatives in the Use of Remote Sensing for Water Quality.
Advertisements

Cloud computing in spatial data processing for the Integrated Geographically Distributed Information System of Earth Remote Sensing (IGDIS ERS) Open Joint-Stock.
Copyright © 2004 Sherif Kamel Technology Acceptance Model Sherif Kamel The American University in Cairo.
Remote Sensing Solutions. Story Turnover : 2 Millions euro Personnel: 15 persons Flyby is an independent private Italian SME company funded in Mission.
S.Kadnichanskiy Digital oblique images and their application. The possibility of aerial survey system A3 in taking oblique aerial photography.
Predicting and mapping biomass using remote sensing and GIS techniques; a case of sugarcane in Mumias Kenya Odhiambo J.O, Wayumba G, Inima A, Omuto C.T,
GIS for Politics Andrew U. Frank Geoinfo TU Vienna
Resolution Resolving power Measuring of the ability of a sensor to distinguish between signals that are spatially near or spectrally similar.
SWE Introduction to Software Engineering
VENUS (Vegetation and Environment New µ-Spacecraft) A demonstration space mission dedicated to land surface environment (Vegetation and Environment New.
Characterizing Soil Erosion in Albania using Remote Sensing Ryan L. Perroy Geography Department University of California, Santa Barbara.
Meteorological satellites – National Oceanographic and Atmospheric Administration (NOAA)-Polar Orbiting Environmental Satellite (POES) Orbital characteristics.
Geosynchronous Orbit A satellite in geosynchronous orbit circles the earth once each day. The time it takes for a satellite to orbit the earth is called.
More Remote Sensing Today- - announcements - Review of few concepts - Measurements from imagery - Satellites and Scanners.
Remote Sensing II Introduction. Scientists formulate hypotheses and then attempt to accept or reject them in a systematic, unbiased fashion. The data.
Data Acquisition Lecture 8. Data Sources  Data Transfer  Getting data from the internet and importing  Data Collection  One of the most expensive.
Module 2.1 Monitoring activity data for forests using remote sensing REDD+ training materials by GOFC-GOLD, Wageningen University, World Bank FCPF 1 Module.
Accuracy Assessment. 2 Because it is not practical to test every pixel in the classification image, a representative sample of reference points in the.
By Lalit Pienchai. Objectives of this study Research model Pilot Study Full scale study Recommendation Future work.
INPE´s contribution to REDD Capacity Building: data, applications, and software Gilberto Câmara Director General National Institute for Space Research.
© Copyright 2014 STI INNSBRUCK Digital Globe Anna Fensel June
Data Sources Sources, integration, quality, error, uncertainty.
Co-authors: Maryam Altaf & Intikhab Ulfat
Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.
DIN EN ISO 9001 certified1RapidEye proprietary information RapidEye Overview John Ahlrichs
Comparison of SSM/I Sea Ice Concentration with Kompsat-1 EOC Images of the Arctic and Antarctic Hyangsun Han and Hoonyol Lee Department of Geophysics,
Introduction to Remote Sensing. Outline What is remote sensing? The electromagnetic spectrum (EMS) The four resolutions Image Classification Incorporation.
Remotely Sensed Data EMP 580 Fall 2015 Dr. Jim Graham Materials from Sara Hanna.
Resolution A sensor's various resolutions are very important characteristics. These resolution categories include: spatial spectral temporal radiometric.
Data Sources Sources, integration, quality, error, uncertainty.
Slide #1 Emerging Remote Sensing Data, Systems, and Tools to Support PEM Applications for Resource Management Olaf Niemann Department of Geography University.
Chapter 5 Remote Sensing Crop Science 6 Fall 2004 October 22, 2004.
West Hills College Farm of the Future. West Hills College Farm of the Future Precision Agriculture – Lesson 4 Remote Sensing A group of techniques for.
PREFER 1 st Annual Review Meeting, 5-6 Dec 2013, Milano-Italy PREFER WP 3.2 Information support to Recovery/Reconstruction Task 7 Damage Severity Map PREFER.
Earth observation data for everyone: the CBERS experience Gilberto Câmara Director, National Institute for Space Research.
1 Enviromatics Environmental sampling Environmental sampling Вонр. проф. д-р Александар Маркоски Технички факултет – Битола 2008 год.
Remote Sensing Introduction to light and color. What is remote sensing? Introduction to satellite imagery. 5 resolutions of satellite imagery. Satellite.
Remote Sensing Data Acquisition. 1. Major Remote Sensing Systems.
Digital Imagery Guideline ASPRS/PDAD Gerald J. Kinn Applanix ISG A Trimble Company 2 Dec 2003.
Jonas Eberle 25th March Automatization of information extraction to build up a crowd-sourced reference database for vegetation changes Jonas Eberle,
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
June 2009 Wye City Group 1 Use of remote sensing in combination with statistical survey methods in the production of agricultural, land use and other statistics.
FUTURE OF LAND IMAGING U.S. Land Imaging Needs & Long-Term Continuity Future of Land Imaging Interagency Working Group (FLI-IWG) U.S. Group on Earth Observations.
REAL-TIME RECEPTION AND DISTRIBUTION OF REMOTE SENSING DATA ON A NATIONAL SCALE.
INTRODUCTION TO REMOTE SENSING. Remote sensing is the science and art of obtaining information about an object, area, or phenomenon through the analysis.
UNCCD Large monitoring Programs Dr. Fred Stolle 1.
SATELLITE IMAGE INTERPRETATION Course: Introduction to RS & DIP Mirza Muhammad Waqar Contact: EXT:2257 RG610.
TECHNOLOGY ACCEPTANCE MODEL
Sub pixelclassification
Mapping Canada’s Rangeland and Forage Resources using Earth Observation Emily Lindsay MSc Candidate – Carleton University Supervisors: Doug J. King & Andrew.
Geosynchronous Orbit A satellite in geosynchronous orbit circles the earth once each day. The time it takes for a satellite to orbit the earth is called.
Seventh Framework Programme for research and technological development The copying and distribution of this document is prohibited without a prior permission.
Sensors and Instrumentation Computational and Data Challenges in Environmental Modelling Dr Peter M Allan Director, Hartree Centre, STFC.
Remote Sensing Imagery Types and Sources GIS Management and Implementation GISC 6383 October 27, 2005 Neil K. Basu, Janice M. Jett, Stephen F. Meigs Jr.,
Supporting the “Solving Business Problems with Environmental Data” Competition 24 th October 2013 Vlad Stoiljkovic.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Technology Acceptance Model (TAM) Evaluation for Academic Information System (case study : Ma Chung University) Soetam Rizky Wicaksono, Audrey Amelia Ma.
Satellite Image Pixel Size vs Mapping Scale
Lecture 10: User Acceptance
8 - 9 MAY, 2014, PRETORIA, SOUTH AFRICA
Mapping Variations in Crop Growth Using Satellite Data
Land Cover Mapping and Habitat Analysis
Tae Young Kim and Myung jin Choi
Satellite Image Pixel Size vs Mapping Scale
Land Cover Mapping and Habitat Analysis
Remote Sensing What is Remote Sensing? Sample Images
Potential Landsat Contributions
Satellite Sensors – Historical Perspectives
Igor Appel Alexander Kokhanovsky
Lecture 10: User Acceptance
Presentation transcript:

Acceptation of Earth observation information by GIS users National Aerospace Laboratory, Space Department UNIGIS intake march 2002 Edwin Wisse 16 June 2006

Acceptance of Earth observation2 Introduction: Earth obseravtion History 1972, Landsat-1 first dedicated Earth observation satellite 1986, SPOT-1: 10 metre panchromatic, 20 metre multispectral 1991, ERS-1: imaging radar 1999, Ikonos: high resolution optical satellite (1 metre pan, 4 metre multspectral) Applications Scientific Agricultural and environmental With hogh resolution satellites: planning and surveying

Acceptance of Earth observation3 Introduction: acceptance Earth Observation has so far failed to evolve into a mature and self- sustainable operational or commercial activity. Hence, it has not allowed the development of a service industry of any economic significance. (Achache, Director of EO ESA, 2003) In numbers: Public sector (mostly defense) forms 64% of the market. Private sector: mostly telecommunications (planning mobile phone networks) plus oil and gas Annual growth over : 1.4% (that’s decline) Problems and solutions Findability. O 2 (ESA): build infrastructuur Availability. Rapideye: use Constellations Usability. Error and resolution aspects are not sufficiently understood and applied But what are exactly the weaknesses in Earth observation according to users?

Acceptance of Earth observation4 Introduction: ideal Earth observation Satellite watches over Duckburgh constantly (temporal resolution) Fine tune button for easy zooming (spatial resolution) It’s free! Images can be received from the air (availability) What you see is what you get (error aspects)

Acceptance of Earth observation5 Study problem The question we want answered is: What factors are decisive in user acceptance of Earth observation information by GIS users? This can be formulated as two consecutive questions: What are the different factors? How strong do they affect acceptance? Why GIS users? Talks with other UNIGIS students showed me that most found EO very interesting and promissing, but very few were aactually using it. But how can we test acceptance?

Acceptance of Earth observation6 Technology acceptance model Based on the theory of reasoned action, people base their decisions on a chain of factors. Intention to use affects actual usage, and the attitude of a person affects intention. This was extended to the Technology Acceptance Model. In TAM usefulness and ease of use are introduced. These affect the attitude. TAM contains methodology for measuring the strenght of the constructs. TAM has been used to test acceptance of software tools, phones, services etc.

Acceptance of Earth observation7 Technology acceptance model

Acceptance of Earth observation8 Technology acceptance model TAM uses a standard scale to measure the relations between the contructs: Using TestTool in my job would enable me to accomplish tasks more quickly Using TestTool would improve my job performance... It would be easy for me to become skilful at using TestTool I would find TestTool easy to use Standard TAM is based on the perceived usefulness and ease of use constructs. In later studies factors affecting the constructs have been introduced: enjoyment, functionality, interactivity etc.

Acceptance of Earth observation9 Earth observation: sensors and image types Optical easy to interpret hindered by cloud cover, especially over the Netherlands high resolution means small swath with high resolutions the look angle of the sensor and shadows become significant Radar: looks through cloud cover coarse resolution sensitive to different materials than optical

Acceptance of Earth observation10 Earth observation: (classified) maps Thematic maps from EO images: classified maps Use spectral models to derive soil type, vegetation from pixel values More channels (colours) give better results Coarser resolution gives better results Classified maps either errors (wrongly classified pixels) or they are incomplete

Acceptance of Earth observation11 Earth observation: parameters What are the factors affecting acceptance? (see study problem) Spatial resolution Temporal resolution Errors and uncertainties Representation: file format, how is the data delivered? Availability: how to find data? How do these parameters relate to the usefulness en and ease of use constructs?

Acceptance of Earth observation12 Modified TAM for Earth observation

Acceptance of Earth observation13 Modified TAM: the scale The modified scale was designed to measure the affect of the parameters on the constructs: The spatial resolution of optical images is sufficient for my needs Optical images are acquired often enough for my needs Thematical maps (classified images) with a classification error are usable for me An error-free, but incomplete, thematical map or classified image is useful for me... Importing Earth observation imagery and information into my GIS environment is easy for me I know how to find and order the Earth observation images I need An additional 4 questions from the standard scale were introduced to measure the affect of intention.

Acceptance of Earth observation14 Questionnaire session ArcGIS user day at NLR: Presentations about EO Visit to ground station En de questionnaire sessie Session: Controlled environment 2 sessions of 14 people Text of the presentation was read from paper The subjects used a voting remote control Interactive interface to select, compare and zoom into sample images

Acceptance of Earth observation15 Results: the subjects group The subjects group: Predominantly GIS users with little EO experience (good!) More than half were from government: municipalities and provinces Subjects who indicated that they had daily experience with EO were excluded from the following analysis. This left 25 subjects

Acceptance of Earth observation16 Results: spatial resolution The subjects rate: traditional EO imagery (10 metre resolution) neutral high resolution imagery more usefull radar imagery negative

Acceptance of Earth observation17 Results: temporal resolution The subjects rate: Despite the differences between optical and radar there is little difference in the responses All subjects are neutral to positive to the temporal resolution issues

Acceptance of Earth observation18 Results: error aspects Error aspects related results: Incomplete maps as more useful than maps with errors A georefencing error is not acceptable Visulatisation of errors in GIS leads to high perceived usefulness

Acceptance of Earth observation19 Results: usefulness and ease of use constructs 4 questions refered directly to the usefulness and ease of use constructs Subjects are neutral to positive about usefulness They see no problems with ease of use

Acceptance of Earth observation20 Results Reliability: The wide spread of he questions has resulted in a low, but acceptable reliability. Correlations: Strong correlations between spatial, temporal and error paramaters and perceived usefulness. Also a strong correlation between representation and availability and the perceived ease of use. Smaller (but significant) correlation between perceived usefulness and intention to use. The perceived ease of use construct is weak in the modified TAM (but that was to be expected) ConstructItemsReliability perceived usefulness perceived ease of use Davis’ PU Davis’ PEU intention to use Perceived usefulness Perceived ease of use Spatial resolution Temporal resolution Error aspects Representation Accessibility

Acceptance of Earth observation21 Conclusions Earth observation and GIS: Subject group needs high resolution data (1 metre is still not sufficient), acquisition is already often enough for this group. They are aware of the different errors and would like to see error representation in their GIS application. Representation and availability are not seen as problems. Modified TAM: Good first result Ease of use is weakly defined Future study: use less parameters (and more subjects) Unigis: Unigis provides an excellent opportunity to step out of your own field of expertise and learn something different