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!


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.


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'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.


T1-Mar 27 11:00

A 3-Dimensional Yellowness Index for Oilseed Acreage Estimation

John Sulik, USDA Agricultural Research Service

Dan Long

Remote sensing is routinely used to estimate the field acreage of oilseed crops under  production, however, this information is not available until the next calendar year after harvest. Near real-time knowledge of spatial variability in oilseed production would improve seed procurement efforts seeking to optimize the flow of feedstock through a crushing facility. This information is also potentially useful for downstream interests such as airline service centers that purchase hydrotreated renewable biojet fuel.  The objective of this study was to assess the feasibility of freely available multispectral satellite imagery for producing and disseminating geographic information about in-season oilseed acreage. Several Landsat scenes were acquired for the inland Pacific Northwest including portions of Oregon, Washington, and Idaho. Image acquisition dates were chosen to correspond to the presence of flowers in the plant canopy. Flowering canopies allow these areas to be separated from other surface features through the use of multivariate techniques (rotational transformations) that enhance features of interest.  Specifically, custom image transformations were derived for Landsat ETM+ and LDCM using Gram-Schmidt orthonormalization. Transformation coefficients were applied to RGB bands and a threshold value for the resulting linear combination was used as a decision boundary for classification. Accuracy assessments were conducted using National Agricultural Statistics data and geographic coordinates of known canola fields.   Two Landsat satellites are currently operational and provide a combined revisit capability of 8 days over any given location. Unfortunately, extensive cloud cover during a satellite overpass adversely affects the operational accuracy of this workflow. If cloud free imagery is available for a location at any time a field is in bloom then this technique performs very well.

Applying String Matching Algorithms to Multi-Temporal Satellite Imagery to Identify Crop Rotation Patterns

John Long, Montana State University

Rick Lawrence, Perry Miller, and Lucy Marshall

Fallowed cropland area in northeastern Montana has decreased by one-third in the past 15 years, while acreage devoted to pulse crops has increased nearly five-fold. These pulse crops are grown primarily on land formerly in cereal-fallow rotations, but additional acreage is contributed by idle fields returning to production following enrollment in the Conservation Reserve Program. Incorporating pulses into rotations with the regions dominant cereal crops improves the robustness and resilience of local agricultural systems. Identification of specific rotational patterns is important because they provide an insight into the general long-term sustainability of regional agriculture. Determining the prevailing patterns can help establish which rotations have been successful and, therefore, which ones might be more likely to succeed in similar regions. The primary objectives of this work were to: (1) identify the principal rotation patterns for cereal, pulse, and fallow in northeast Montana during the period of regional pulse crop adoption (2001–2012); and (2) identify changes in the relative proportions of these patterns during the same period. We identified crops at the field-level by class (cereal, pulse, fallow, or cereal-fallow strip cropping) for 2001–2012 using Landsat imagery in conjunction with the Cropland Data Layer, cadastral data, ground reference data, and local producers records. Annual crop classifications were combined into a 12-character string representing class sequence (e.g., CFCFCFCCPCCP) for each of the 13,076 fields in the study. We then searched these strings for specific a priori crop rotations (e.g., CCP) using a string matching algorithm modified from a genetic sequencing algorithm. Non-agricultural land, fields growing non-target crops and fields with missing data were excluded from analysis. This methodology is general and applicable to any research examining changes and patterns in categorical variables over time.

Assessing variations in urban heat island effects within Roanoke, Virginia

Tammy Parece, Virginia Tech

James Campbell

Within urban areas, variations within the built environment create unique microclimates because of diversity in thermal properties of surface materials and alterations of the hydrologic cycle.  Resolving intra-urban microclimate variability presents an opportunity to evaluate spatial dimensions of urban heat island effects, including daily air temperature fluctuations and start and end of growing season.   Observations from widely-spaced National Weather Service (NWS) stations are often used to characterize regional conditions, yet the data only reflect conditions specific to that site.   To effectively evaluate differing factors across an urban area, a finer network of data collection points are required. This presentation reports results of a weather data collection campaign within the City of Roanoke, Virginia using mobile weather stations (mobile mesonet units) and installation of new stationary weather units at local public schools.  We will present the methods used for our collection pattern.  We superimpose results on Landsat imagery and impervious surface patterns delineated from aerial photos.  We will discuss our results and how they relate to the variation in Roanokes built environment.  This research forms the first phase of dissertation research which evaluates social and environmental patterns of an urban area to facilitate optimal placement of urban agriculture (UA).  It provides the basis for understanding the spatial context for UA, and for ameliorating social and environmental difficulties that are inherent to modern urban systems.  It fills a gap in current strategies, which largely have lacked spatial perspectives, and uses the power of geospatial technologies to identify relationships between the environmental and social dimensions of urban systems, and the spatial nature of their synergies.

A New Approach for Agroecosystems Monitoring Using High-Revisit Multitemporal Satellite Data Series

Monica Daez, ELECNOR DEIMOS Imaging

With increasing population pressure throughout the world and the need for increased agricultural production there is a definite need for improved management of the world's agricultural resources. Comprehensive, reliable and timely information on agricultural resources is necessary for the implementation of effective management decisions. In that sense, the demand for high-quality and high-frequency geo-information for monitoring of agriculture and its associated ecosystems has been growing in the recent decades. Satellite image data enable direct observation of large areas at repetitive intervals and therefore allow mapping and monitoring crops evolution. Furthermore, real time analysis can assist in making timely management decisions that affect the outcome of the crops.  The DEIMOS-1 satellite, owned and operated by ELECNOR DEIMOS Imaging (Spain), provides 22m, 3-band imagery with a very wide (620-km) swath, and has been specifically designed to produce high-frequency revisit on very large areas for agriculture applications. Through the contracts awarded to Astrium GEO-Information Services, in 2011, 2012 and 2013 DEIMOS-1 has provided the USDA with the bulk of the imagery used to monitor the crop season in the Lower 48, in cooperation with its twin satellite DMCiis UK-DMC2. In this paper we present the results obtained from several campaigns carried out in 2013 with DEIMOS-1 and UK-DMC2 satellites. These campaigns provided a high-frequency revisit of target areas, with one image every two days on average: almost a ten-fold frequency improvement with respect to Landsat-8.  The results clearly show the effectiveness of a high-frequency monitoring approach with high resolution images with respect to classic strategies where results are more exposed to weather conditions.

T9-Mar 27 9:00

Operational Space Imaging Systems, Advances, Calibration, and Standards

Raad Saleh, Astrogeology Science Center, U.S. Geological Survey

Gregory Stensaas

Converting space imagery into meaningful datasets is a process that varies from one imaging system to the other. This requires the development of complete “camera model” and related set of software tools that are compatible for downstream analyses and cartographic production. The lack of consistent information about space imaging systems presents a major bottleneck, on both developing analysis tools as well as cartographic production, with measureable cost consequences.

The panel would address the most advanced space imaging systems, data quality, and imaging system calibration requirements, and standards. The panel would also discuss standardized reporting of pre-launch and in-flight camera calibration procedures, technical specifications, and geometric properties. Such standards would potentially facilitate development of complete “camera models” required for image analysis, developments of processing tools, software compatibility, and cartographic production.

Panelists will include satellite operating companies, such as Digital Globe, government, such as EROS and NASA, as well academia and the user community. There will be short presentations to set the stage with the goal of having a strong panel discussion with the audience.

Greg Stensaas, EROS Data Center
Henry J. Theiss, NGA-IBP USA CTR
Milan Karspeck Digital Globe
Mary Pagnutti, I2R
Kurt Thome, NASA
Qassim Abdullah, Woolpert
Darrel Williams, Global Science & Technology, Inc.

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