ASPRS 2014 Annual Conference & co-located JACIE Workshop

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ASPRS 2014 Annual Conference

 Geospatial Power in Our Pockets

& co-located JACIE Workshop
Joint Agency Commercial Imagery Evaluation (JACIE) Workshop

Louisville, Kentucky USA   *  March 23-28, 2014  *  The Galt House Hotel

Join the American Society for Photogrammetry and Remote Sensing(ASPRS) for the 2014 Annual Conference as we head to the home of the Kentucky Derby, the Louisville Slugger baseball bat and Southern Hospitality, Louisville, Kentucky, March 23 - 27, 2014!

This year we are excited to welcome the JACIE Workshop to co-locate in Louisville. The JACIE Workshop will be held March 26 - 28, 2014 at the Galt House Hotel and will be combining a general session and special technical sessions throughout the week with the ASPRS Conference. This is an exciting partnership for both organizations!

About JACIE

The intent of the JACIE workshop is to exchange information regarding the characterization and application of the commercial imagery used by the government. This workshop is focused on the synergy of high, medium and low resolution imagery and remote sensing technologies used by the Government. This workshop is sponsored by the Joint Agency Commercial Imagery Evaluation (JACIE) team, a collaborative group of representatives from the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA) the United States Department of Agriculture (USDA) and the United States Geological Survey (USGS).

Tell Me About ASPRS 2014

The conference theme: Power in Our Pockets, refers to the technological power of pocket sized devices in our world today. The conference will focus on the various tools, applications, software and overall abilities of technology in the geospatial industry today.

There are LOTS of changes happening for ASPRS conferences! Here are just a few you will see in 2014:

  •     JACIE Workshop co-location
  •     Unmanned Aerial Systems Showcase
  •     Recruitment Way Table Tops
  •     Increased Exhibitor/Attendee Face-time
  •     New session tracks for practical applications
  •     Redesigned conference programs
  •     Presenter abstracts available online

Who Attends?

More than 1,000 imaging and geospatial information professionals gather from across the nation and from around the globe for ASPRS Annual Conferences. And this year, we are expecting a record attendance with the co-location of the JACIE Workshop.

Attendees are mid- and upper-level imaging and geospatial managers from corporations, government agencies, consultants, educators, reseachers, students and field surveyors.


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Louisville, Kentucky
Big City Service with Southern Hospitality!

Nestled on the banks of the Ohio River, Louisville, Kentucky has loads of small-town southern hospitality, a cosmopolitan riverfront district linked to the city’s park system, a diverse arts scene, downtown’s Museum Row on Main, and a nationally recognized foodie mecca.

Louisville, no matter how you pronounce it...it's got something for everyone!

ASPRS and the JACIE Workshop will be holding meetings at the wonderful Galt House Hotel while in Louisville! Click here for more information about hotel accommodations.

    

T4-Mar 27 11:00

Astrium's Completed Constellation

Drew Hopwood, Astrium Geo-Information Services - North America

Astrium GEO-Information Services, a worldwide leading provider of geospatial information from Earth observation satellites, has launched four new electro-optical satellites in just over two years.  The launch of the fourth and final satellite, SPOT-7, completes the constellation.   We will present an overview of each satellite and the unique capabilities this constellation brings to the user community.  The presentation will conclude with information on each satellite’s performance.

The DMC Satellite Constellation and New Sensors for 2014-15

Gary Holmes, DMC International Imaging Ltd

Paul Stephens

This paper presents an update on the Disaster Monitoring Constellation (DMC) including the current wide-swath multispectral satellites and a look forward to forthcoming new satellites including the high resolution DMC3 constellation. The DMC consists of a growing constellation of small satellites, each carrying a wide swath (650km) optical sensor. It is an international programme with joint campaigns being coordinated centrally by DMC International Imaging (DMCii).  The original constellation provided a daily global imaging capability at 32m resolution in three Vis/NIR spectral bands, for applications requiring large area coverage and rapid repeat.  In 2009 two second generation 22m resolution satellites, UK-DMC 2 and Deimos-1, launched into the constellation, adding much more imaging capacity to the constellation as well as enhanced resolution. These satellites have now been fully operational for four years and are exploited on a large scale for applications such as agricultural monitoring, forest monitoring, land cover mapping and disaster response. The satellites have the capacity to deliver multitemporal monitoring at continental scale.  Two new DMC satellites are now entering constellation activities: NigeriaSat-2 and NigeriaSat-X. NigeriaSat-2 delivers 2.5m PAN and 5m MS data in four VIS/NIR bands, as well as a 32m wide swath sensor (also with 4 bands). NigeriaSat-x is very similar to UK-DMC-2 and Deimos-1 and adds another 22m multispectral sensor to the constellation, providing further data continuity for the wide swath HR applications.  DMCii will launch a constellation of 1m resolution sensors in 2014, built by Surrey Satellite Technology Ltd (SSTL). Together these satellites will offer a daily acquisition capability at 1m resolution which will be extremely powerful for applications such as security and disaster response. During the same period SSTL will also be building and launching the first of the next generation of wide swath sensors for enhanced agricultural and environmental applications, ensuring data continuity until at least 2022.

The DEIMOS-2 Concept:  Alternative Cost-Effective, Very High Resolution Multispectral Imagery for Civil and Defense Applications

Julio Lopez, Elecnor Deimos Imaging

Fabrizio Pirondini

ELECNOR DEIMOS Imaging (Spain) owns and operates Deimos-1, the first Spanish Earth Observation satellite. Launched in 2009, Deimos-1 is among the world leading sources of high resolution data.<br /> The ELECNOR DEIMOS group is currently building the Deimos-2 satellite, which will be a very-high resolution, agile satellite capable of providing 4-bands multispectral and 75-cm pan-sharpened imagery, with a 12km-wide swath. The launch is currently scheduled for Q2 2014. The whole end-to-end Deimos-2 system has been designed to provide a cost-effective and highly responsive service to cope with the increasing need of fast access to very-high resolution imagery. The satellite is being developed together with SATREC-i (South Korea), and it is currently being integrated and tested in the new ELECNOR DEIMOS Satellite Systems premises in Puertollano (Spain). The ground segment, which includes a receiving/commanding ground station in Spain and one in Norway, has been completely developed in-house by ELECNOR DEIMOS. In this presentation we will describe the main features of the Deimos-2 system and we will provide updated information on the development and launch schedule. Finally we will anticipate the special features of ELECNOR DEIMOS Imaging commercial solutions based on VHR data, including Deimos-2 and other platforms applied for civil and defense.

Building detection in Very High Resolution Satellite Image using IHS model

Shabnam Jabari

Yun Zhang

Detection of buildings in urban and suburban areas using very high resolution satellite images is quite demanding due to the dissimilar amount of radiation that roofs –especially the pitched ones- receive in their different sides. This causes different brightness values for different sides of a single roof, disturbing precise roof boundary detection. So that, in the segmentation step of an object-based classification method, different sides of a roof, will be assigned to different segments due to their intensity variation. The majority of the studies merge the building related segments using elevation information. However, because of the misregistration between the spectral and elevation layers, building boundaries cannot be detected precisely.  This study presents a novel method to solve the issue of intensity variation in building roofs using IHS color system. The presented method is based on the assumption that generally building roof color is constant for different sides of a roof. Therefore, the Intensity factor (out of IHS components) is neglected in order to remove the effect of illumination in different sides. Thus, the first level image segments are merged using just the Hue and Situation components, resulting in new level of segments matching building borders. Finally, in order to detect buildings from the so produced segments, the elevation information generated using LiDAR data is used. The segments with high elevation are assigned to the building class.  The proposed method is tested on the QuickBird satellite imagery of Fredericton, Canada. The achieved results are quite promising with an overall accuracy of more than 90% for building detection.  Considering the off-nadir situation of imagery and consequently miss-registration between the elevation data and the image, the produced unified color segments are of great benefit for precise building boundary detection.

T2-Mar 27 11:00

Developing Satellite-based Land Use Intensity Metrics for Urban Sustainability Monitoring

James Lein, Department of Geography/Ohio University

Urban sustainability encourages a re-examination of urban development, including environmental, social and economic policies and practices to better acknowledge the role of cities in global environmental change. However, sustainability remains a broadly defined concept that has been applied to mean everything from environmental protection, social cohesion, economic growth, neighborhood design, alternative energy, and green building design. To guide sustainability initiatives and assess progress toward more sustainable development patterns a need exists to place this concept into a functional decision-centric context where change can be evaluated and the exploitation of resources. If we accept the idea that sustainable development defines a set of conditions and trends in a given system that can continue indefinitely without contributing to environmental degradation, remote sensing can address four critical questions toward that explanation: 1) What is the present land use/ land cover, 2) Is that land use/ land cover pattern sustainable. 3) Over time are there indications that the “environment” is degrading or otherwise changing, and 4) Can that information be incorporated into policy tools to better guide the development process. Answers to these questions hinge on the development of metrics that can be employed to support the long-term monitoring required to assess sustainability goals. In this paper research examines the application and testing of a land use intensity index derived from of moderate resolution data and explores in application in a change detection role at the watershed scale.

Determination of velocities from repeat aerial imagery based on matching in object space

Sudhagar Nagarajan, Florida Atlantic University

Beata Csatho and Toni Schenk

Over the last century sea level has risen by about 2 mm per year due to climate changes that causes the melting of glaciers and the loss of mass of the polar iced sheets. It is of paramount interest to improve current ice sheet models and to increase the confidence in long-term predictions. Surface elevation changes and velocities are critical parameters for ice sheet models. While surface elevation changes are predominantly obtained from satellite and airborne laser altimetry, velocities are derived from electro-optical or radar imagery. Before the era of digital photogrammetry, velocities have been determined by manually identifying and measuring points on photographs of two different time epochs. This was not only time-consuming but also error-prone. More recently, image matching techniques are used to determine identical points in two images, taken at different times. These methods work automatically but area-based matching is not always reliable. In this paper we introduce a new method and demonstrate its feasibility on old aerial photographs in Greenland. The method proceeds in several steps, each step executed automatically. First, we begin with determining the orientation of the images by way of aerial triangulation, followed by computing a DEM for the area of interest. This preliminary step is repeated for the images taken at a later time. Now, we determine interest points, using the Harris corner point operator. These points are projected from the images to the DEM with the known orientation parameters. The matching of interest points is performed in object space. In contrast to matching points in a normal stereo pair, the points in object space are from different time epochs. Since an interest point moved its spatial position between the two time epochs, such points are only radiometrically conjugate but not geometrically. In fact, the geometric displacement of two (radiometric) identical points, together with the time difference, yields the velocity.

Mapping of Mining and Mine Reclamation: A Comparison of NAIP Orthophotography and RapidEye Satellite Imagery

Aaron Maxwell, Alderson Broaddus College

Michael Strager, Tim Warner, Charlie Yuill, and Nicholas Zegre

National Agriculture Imagery Program (NAIP) orthophotography is a potentially attractive data source for land cover classification due to its nation-wide and generally cloud-free coverage, low cost to the public, frequent update interval, and high spatial resolution. Nevertheless, there are challenges with working with NAIP imagery, especially regarding radiometric normalization and calibration.  In this paper we compare NAIP orthophotography and RapidEye satellite imagery for high resolution mapping of mining and mine reclamation within a mountaintop coal surface mine in the southern coalfields of West Virginia, USA. Two classification algorithms, support vector machines (SVM) and Random Forests (RF), were used to classify both data sets.  Compared to the RapidEye classification, the NAIP classification resulted in lower overall accuracy and Kappa and increases in allocation disagreement and quantity disagreement. However, accuracy of the NAIP classification was improved by reducing the number of classes mapped, using the near infrared (NIR) band (which is sometimes not included in the free data sets available on the Internet), and reducing the spatial resolution slightly by pixel aggradation or applying a Gaussian low pass filter. With such strategies, NAIP data can be a suitable alternative to RapidEye satellite data for classification of surface mine land cover.

Geometric Modelling of 1960s KH-5 Images and Applications of Coastline Changes in Amery Ice Shelf, East Antarctic

Gang Qiao, Tongji University

Wenkai Ye, Marco Scaioni, Xiaohua Tong, and Rongxing Li

Changes in the Amery ice shelf, East Antarctic are often linked to changes in global climate and the effects of climate change. Especially the coastline changes, as one of the important indicators of Antarctica ice sheet change, can help reveal the nature of ice sheet evolution. Historical reconnaissance satellite photographs now known as Declassified Intelligence Satellite Photography (DISP), specifically KH-5, acquired in the 1960s, provide a unique opportunity for analysis of long-term changes of the Amery ice shelf, East Antarctic.  Geometric modelling is the fundamental step of the efforts to use the dataset for coastline mapping applications in Antarctica region. The overlap up to 70% between neighbouring photographs allows for the block bundle adjustment to remove and reduce geometric errors and to produce geometrically rectified images. Raw DISP images contain many distortions including lens distortions and film distortion caused by nearly five decades of storage. Pre-processed images are used to select tie points and Ground Control Points (GCPs) on the overlapping areas. The GCPs were acquired from the RADASAT-1 mosaic and OSU DEM. The initial estimates of the exterior orientation parameters are acquired by GCPs and the orbital ephemeris of specific missions. They were then refined in the bundle adjustment process. The accuracy of the bundle adjustment was assessed and discussed. The image mosaic of Amery ice shelf was then produced and the coastline was mapped for this area. The coastline changes were finally analysed by comparing with the modern coastline products in Amery ice shelf, and the possible motivations were discussed.

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