Your Federal Quarterly Tax Payments are due April 15th Get Help Now >>

GIS Special Edition Newsletter - PDF by NRCS


									                                                   Volume I. Issue 1                                                     March 2005

                                                         USDA          APHIS          PPQ

                                                   March 2005

                                 For those in PPQ who work with Spatial Tech-         capability to PPQ. We are also exploring op-
                 People          nologies (ST), such as GIS and remote sens-          portunities for international cooperation.
                                 ing, these are exciting times. ST has been part
                                 of the scene for over two decades. However,
              Places             we are finally bringing it into the fabric of
                                 daily work as a robust information manage-           PPQ personnel have asked how to engage
              Projects &         ment and decision support tool. In the follow-       CPHST for support needs. The answer for
                                 ing pages, a sampling of projects from CPHST         small projects (three months or less) is to sub-
              Programs                                                                mit an Ad Hoc request. A short written re-
                                 labs demonstrate the breadth and depth of
                                 ongoing ST activities.                               quest will trigger this process that vets and
              Publications                                                            tracks the work to successful completion. For
                                                                                      details, go to the PPQ home page, then
             Policy & Plans                                                           CPHST, then click on "Work Requests."
                                 Each part of PPQ has an appropriate role and
                                 responsibility for ST. For example, CPHST is
             Presentations       developing ST tools that better serve the needs
                                 of the field. We are also developing Enterprise      Dr. Gordon Gordh and CPHST scientists see
                                 System products: an integrated application of        the benefits that ST can bring to essentially all
                                 maps, data management, GIS data layers, and          PPQ programs. Many tangible results are al-
             Philosophy                                                               ready visible. However, this is only the begin-
                                 tools that solve problems across multiple pro-
                                 grams, nationwide. Our NAPPFAST team has             ning. Spatial Technology will provide the
                                 developed a predictive modeling tool to lever-       powerful means for PPQ to better fulfill the
                                 age more than a dozen pest programs.                 Safeguarding Mission.
Inside this issue:               NAPPFAST risk zone maps
                                 help guide program manag-
Hyperspectral Imaging        2
Tech. Applied to EAB
                                 ers to deploy field staff at
                                 the right place and time.
Quality Management           2
                                 Risk analysts also find
GIS for Management of        3   NAPPFAST maps an excel-
ALB                              lent resource for their work.
Tracking Spread of SBR       3
Using Spatial Tech.

NAPPFAST                     4   CPHST scientists have
Spatial Tech. Survey Tools   4
                                 learned a lot through fruit-
                                 ful engagement with our
Multi-Spectral Short-        5   counterparts and friends in
Wave Infrared Tech. for
Cactus Moth Program              VS- Jerry Freier and the
                                 CEAH staff in Fort Collins.
Climate Host Mapping of      5
P. ramorum
                                 To enhance this synergy,
                                 Tom Kalaris plans to build            CPHST Spatial Technology Virtual Team
GIS Support for Grass-       6
hopper Program
                                 ST capacity for CPHST at
                                 Fort Collins. CPHST scien-
Virtual Team Meeting         6
                                 tists also work with other organizations such
GIS Spotlights               7   as ARS, the US Forest Service, Michigan State
                                 University, and Clark University to bring ST                                  Submitted by Dan Fieselmann
GIS Use in the Field         8
               Volume I. Issue 1                                                                                           CPHST NEWS

                    High Flying Project by CPHST Scientists Applies Hyperspectral Imaging Technology
                    to Emerald Ash Borer Survey
                    March 2005

We made significant progress on remote        During the data collection flights, we were
sensing applications to emerald ash borer     joined by several collaborators, including
survey during 2004. We initiated this         scientists from ITT Aerospace Sciences,
project in the summer of 2003 at the rec-     Clark University, and the USDA Forest
ommendation of the PPQ Program Man-           Service. These collaborations were very
agement Team. The primary goal of the         productive, especially in getting HSI ex-
project is to develop maps of ash trees at    perts to the field to observe and discuss
risk from emerald ash borer for use by        the technical details of the data collection.
federal and state survey personnel.
                                                Our activities on the ground consisted        Hyperspectral imaging airplane used by SpecTIR
SpecTIR Inc. of California collected aerial primarily of the collection of spectral sig-
hyperspectral imagery (HSI) for us during natures of ash trees and other tree species
the summer. Their Hyper-                                       using ASD spectrometers as     notes as to their size and condition and
SpecTIR sensor simultane-                                      well as the collection of      digital photos. Spectral signatures and
ously recorded reflectance                                     ground truth data. Collec-     ground truth data will be used to develop
from trees and other fea-                                      tion of spectral signatures    models for mapping ash and to validate
tures over 227 spectral                                        employed the APHIS             those models.
bands ranging from visible                                     bucket truck so that meas-
light through shortwave                                        urements could be made         The data sets for each flight totaled over
infrared wavelengths.                                          above tree crowns, replicat-   150 gigabytes. Because of their sheer size,
                                                               ing the perspective of the     we distributed them on large external
Images were collected over                                     airborne sensor.               hard drives. As of early November, all
three flight lines in south-                                                                  data were in the hands of our collabora-
ern Michigan and three in                                      Ground truth data were         tors, and the analysis is currently under-
northwestern Ohio. Indi-                                       collected during five mis-     way. Our collaborators bring many years
vidual flight lines were 2                                     sions throughout 2004.         of experience and considerable expertise
kilometers wide and 15-40                                      Three hundred ash trees in     to the analysis. As a result, we look for-
                                  HyperSpecTIR imaging
kilometers long at ground         instrument used by Spec-     various states of decline      ward to very productive results from our
spatial resolutions of one        TIR                          and over 400 trees of other    collective efforts in the early months of
and two meters. Images                                         species were identified un-    2005.
were collected twice during                                    der the flight lines. We
the 2004 season, in early July and late         were especially interested in species that
August. These times represented periods are often confused with ash, such as box-                                 Submitted by David Williams
of relatively low and high stress, respec-      elder, hickory, and walnut. Ground truth
tively, due to beetle activity and water        observations typically consisted of GPS
availability.                                   locations of individual trees along with

                    Quality Management within Spatial Technology
                    March 2005

CPHST is developing a quality manage-         used at multiple CPHST laboratories.            ments and lead to common technical pro-
ment system in conformance with the           Spatial technology provides one of these        cedures. In addition, the Federal Geo-
requirements of the International Organi-     challenges. The solution is to develop          graphic Data Committee requirements
zation of Standards (ISO). This system is     CPHST level technical procedures that           that must be used by government person-
recognized by 125 countries world wide        apply to all laboratories using common          nel as directed by Executive Order: 12906
and will add to the recognition and accep-    technology.                                     were reviewed. Following the presenta-
tance of the CPHST scientific solutions.                                                      tions an open discussion was conducted
One of the requirements of the ISO qual-      During the spatial technology meeting in        to obtain input from regional, CPHST,
ity management system is the develop-         Raleigh on February 16 and 17, 2005,            and academic scientists on the ISO sys-
ment of technical procedures that de-         John Gallagher presented the ISO re-            tem development.
scribe the process used to develop scien-     quirements while Lisa Kennaway out-
tific solution. CPHST faces unique chal-      lined an approach for development of
                                                                                                                Submitted by John Gallagher
lenges in development of technical proce-     integrated spatial technology data process
dures because the same technology is          that would comply with the ISO require-

   Page 2
               Volume I. Issue 1                                                                                               CPHST NEWS

                      Developing GIS for Management of Asian Longhorned Beetle
                      March 2005

Asian Longhorned Beetle (ALB) was in-                                                                 ALB. “These functions are critical to man-
troduced into the United States through                                                               aging the various program activities, in-
solid wood packing materials from China.                                                              cluding survey, treatment, tree removal,
ALB bores into many hardwood trees,                                                                   regulatory and public outreach. Through
such as maples, box elder, horsechestnut,                                                             the use of tax maps and building foot-
buckeye, elm, ash, birch and willow. It                                                               prints, all of the properties and host trees
has caused tremendous damages in the                                                                  located on those properties within the ALB
Chicago and New York area since ALB                                                                   quarantined areas are able to be mapped.
was first found in 1996.                                                                              These maps are used in scheduling survey
                                                                                                      and chemical treatment field operations.
Data Collection: Basic data, Streets                                                                  The exact locations of infested trees are
and Building Footprints, were obtained                                                                mapped in the system. Treatment
from the City of New York to effectively                                                              boundaries are defined for current and
survey ALB in the New York area. Each                                                                 future years and are set to contain and
street block was assigned a zone and unit           following tasks by clicking customized            eliminate ALB infestations. Survey
number, with each zone consisting of                icons.                                            boundaries are set to detect and delimit
several units. All the data layers were             • Zoom into one unit                              the infestation. Quarantine boundaries
georeferenced to State Plane NAD 1983                                                                 are set to prevent the movement of regu-
                                                    • Add infested or host tree location and
New York Long Island projection.                                                                      lated articles that could potentially in-
                                                     associated information
                                                                                                      crease the spread of the ALB infestation.
GIS project customization: Using                    • Find zip code and zoom into one user            The program uses maps to communicate
basic data layers, PPQ officers in New               defined zip code                                 to the private property owner and public
York print out survey maps, update in-              • Find user defined address                       officials yearly progress in survey, treat-
fested and host tree locations, and update          • Calculate the area of Level 1, Level 2          ment, and infested trees detected and re-
Level 1 (half mile from infested trees or            and Quarantine Zone                              moved. Maps showing program accom-
previously infested properties), Level 2 (1         • Create new units from streets                   plishments are critical to maintain public
mile outer limit of Level 1), and Quaran-                                                             and political support for the program.”
tine Zone (1.5 miles from infested trees).          • Update zone layer
In order to keep uniformity throughout              • Print out survey map and zone map     Overall maps containing information are
all officers in the New York area and to                                                    available for ALB status update and deci-
effectively survey ALB on the ground, the           Christine Markham, ALB National         sion making by contacting Yu Takeuchi
GIS project was customized to meet PPQ              Program Director, comments on the value (
needs. All PPQ officers are able to do the          of developing GIS for management of
                                                                                                                              Submitted by Yu Takeuchi

                      Tracking Spread of Soybean Rust Using Spatial Technology
                      March 2005

CPHST-PERAL has an exciting project study-          spore deposition pattern associated with the      outreach. As
ing the spread of the invasive pathogen soy-        2004 hurricane season. The model’s results        part of this
bean rust. The project team includes Glenn          showed that weather conditions associated         effort the
Fowler, Dan Borchert, Roger Magarey                 with Hurricane Ivan (September 2004) pro-         IAMS model
(CPHST) and Manuel Colunga (MSU). The               vided an opportunity for direct transport of      will be used to
project includes North Carolina State Univer-       viable rust spores into the southeastern U.S.     provide daily
sity, Penn State University and the information     The pattern of spore deposition predicted by      updated maps
technology company ZedX inc. Soybean rust           the model suggested that the pathogen was         of soybean rust
was initially confined to Asia and Australia, but   widely distributed across Gulf Coast states and   deposition and
has been spreading to Africa and South Amer-        this was later confirmed by surveys (Figure 1).   epidemic de-
ica via atmospheric transport. Most recently it     The CPHST team working with Coanne                velopment.
appeared in northern South America in 2004,         O’Hern, Matt Royer and Osama El-Lissy             These maps
becoming a major threat to US production            from the Pest Detection and Management            will be inter-
                                                                                                                         Spore dispersal from South America
areas. In its first year of funding (2003), the     Programs has been playing a key role in devel-    preted by soy-
                                                                                                                         to US
research group developed the Integrated At-         oping a coordinated framework for soybean         bean patholo-
mospheric Model System (IAMS) to track              rust for season 2005. The coordinated frame-      gists from
spore dispersal. The IAMS model is a three-         work is an important USDA initiative that also    Land Grant Universities and state Departments
dimensional atmospheric transport model that        includes CSREES, ARS, NPDN, Land Grant            of Agriculture to provide stakeholders with
accounts for spore transport, survival and          Universities, states and industry. The frame-     simple warning maps of rust incidence at the
deposition. The model runs at 14-km2 grid           work includes decision criteria, surveillance,    county scale.
resolution. The system was used to predict the      prediction models, information delivery and
                                                                                                                          Submitted by Roger Magarey

  Page 3
             Volume I. Issue 1                                                                                            CPHST NEWS

                      NAPPFAST: NCSU APHIS Plant Pest Forecast
                      March 2005

The North Carolina State University,                                                          While NAPPFAST is still a developing
APHIS, Plant Pest Forecast system                                                             and evolving tool, it has proven to be
(NAPPFAST) is a multipurpose tool that                                                        quite useful to APHIS. NAPPFAST was
incorporates North American climate data                                                      extensively used by PDMP in the soybean
with biological models to produce custom-                                                     rust response exercise and in emergency
ized maps for pest survey or risk assess-                                                     response efforts on soybean rust and
ment purposes. NAPPFAST was devel-                                                            Phytophthora ramorum. Additionally,
oped through a cooperative agreement                                                          NAPPFAST has been utilized to create
with APHIS, NCSU and ZedX Inc., a pri-                                                        risk maps for Phytophthora ramorum,
vate information technology company.                                                          soybean rust, karnal bunt, pink hibiscus
                                                 The NAPPFAST Team at CPHST/PERAL (Left       mealybug, Asian Gypsy moth and the
NAPPFAST is accessed through the inter-          to right) Brett Nietschke, Glenn Fowler,     Giant African Snail. The system has also
net using Internet Explorer as the web           Roger Magarey & Dan Borchert                 developed prediction maps to assist the
browser. The system has two sites to pro-                                                     survey efforts for the CAPS National tar-
vide information to interested individuals,    analysis, transferability and customiza-       get pests program. The flexibility of
NAPPFAST and NAPPFAST MapView.                 tion.                                          NAPPFAST has enabled CPHST to con-
                                                                                              duct multiple Ad-Hoc projects, such as
The NAPPFAST site is a full function           In comparison to the NAPPFAST site,            area of potential establishment for pink
modeling/mapping site that allows the          NAPPFAST MapView is a public map               hibiscus mealybug and pea leafminer,
user to create models and maps for multi-      viewing site that allows for easy naviga-      Japanese beetle emergence prediction
ple types of plant pests. NAPPFAST can         tion, rapid retrieval and viewing of maps.     and karnal bunt survey protocol.
be used to create degree day models to         Through the use of dropdown menus,
predict when and where insect phenologi-       previously created maps can be selected        In the future, NAPPFAST plans to in-
cal events will be occurring, disease infec-   for 30 key plant pests. Within both sites      crease its climate database to global cov-
tion models to predict areas at highest risk   it is possible to zoom in for increased        erage and incorporate a climate matching
for disease occurrence and multifunction       map detail, add informational overlay          function to its capabilities. For addi-
models that can be used to develop exclu-      layers, such as agricultural commodities       tional system information and login
sion areas. Additionally, maps can be          and county boundaries, and print a cus-        please go to
exported as a Geo TIFF file into a GIS sys-    tom map as a PDF with a single click.
tem, which allows for multiple types of                                                                           Submitted by Dan Borchert

                      Spatial Technology Survey Tools
                      March 2005

CPHST is working with several USDA and         native cactus moth spread and manage-          Personal Digital Assistants (PDA’s) in-
state university personnel to develop inte-    ment, and SOD nursery surveys. Cur-            crease data quality thru standardized data
grated survey and detection tools that         rently, CPHST is using ESRI® Arc-pad           collection, movement and processing.
capture spatial data from the field in digi-   software as the field data entry platform.     Development and integration of these
tal form. Survey tools are being devel-        As a handheld, MS Windows based pack-          technologies has tremendous potential to
oped for phorid flies (biological control      age, ArcPad, will allow surveyors and          reduce the time it typically takes to evalu-
organisms for imported fire ants), non-        inspectors to replace the classic (error       ate surveys and inspections, make deci-
                                               prone) manual clipboard data entry de-         sions and trigger appropriate responses
                                               vice they now use. Using an automated          to manage program activities. Financial
                                               handheld data entry tool such as ArcPad,       savings are anticipated through reduced
                                               if developed correctly, would significantly    data transcription labor costs between
                                               improve data quality, and reduce the time      field paper and computers and reduction
                                               and level of resources necessary to collect,   in manpower costs in getting data from
                                               store and re-distribute field data. This       field locations. Further, time savings of
                                               tool should give managers of survey and        25-50% in transcribing records and in
                                               inspection programs a way to monitor the       physically moving data between field lo-
                                               quality of work performed, allowing man-       cations and management centers are an-
                                               agers to accurately set and track bench-       ticipated.
                                               marks identified.
                                                                                                           Submitted by Ronald D. Weeks, Jr.
   Survey specialist using GPS/PDA hand-       Digital data collection systems that use
   held unit.                                  Global Positioning Systems (GPS) and

    Page 4
             Volume I. Issue 1                                                                                          CPHST NEWS

                      Feasibility of Detecting Prickly Pear Cactus with Multi-Spectral Short-Wave
                      Infrared Technology for a Cactus Moth Detection Program
                      March 2005

The detection of Cactoblastis cactorum in     visual surveys. This is especially impor-       locations. Our goal is to build further on
Florida in 1989 was recognized by re-         tant in the Southeastern US where little is     this work using a high resolution multi-
searchers and the conservation commu-         known about Opuntia species distribu-           spectral camera system sensitive in the
nity as a serious threat to the diverse       tions.                                          SWIR region to differentiate prickly pear
prickly pear species of North America and                                                     cactus along the Gulf Coast.
to the agricultural uses of prickly pear in
Mexico. With the moth’s dispersal along                                                      The cactus moth program recently pur-
the Atlantic coast to Bull Island, South                                                     chased a new higher resolution SWIR
Carolina and along the Gulf Coast to Dau-                                                    camera to use for the detection of prickly
phin Island, Alabama by 2004, research-                                                      pear host plants. We will incorporate this
ers estimate C. cactorum will reach the                                                      new camera into the current multi-
Texas border by 2007 (Bloem, pers.                                                     spectral camera system developed by Jim
comm.). In 2004, APHIS PPQ developed                                                         Everitt and the ARS remote sensing group
a strategic plan with the Agricultural Re-                                                   at Weslaco, TX. Once the camera system
search Service to increase detection along                                                   is functional, ARS will load the system
                                                Prickly pear cactus near Boca Chica Beach by into their aircraft and we will begin con-
the Gulf Coast and test a method of miti-       the mouth of the Rio Grande, Cameron Co.
gating or stopping the spread using the         Texas, 2005                                  ducting tests. Research sites have been
sterile insect technique. ARS and CPHST                                                      determined for 2 locations in Texas.
will conduct the release of sterile insects                                                  Three additional sites will be determined
on two islands during 2005 in a valida-       Remote sensing technology may be an            along the Gulf Coast close to the front of
tion study to determine if a barrier to       ideal tool to provide the data necessary to the cactus moth distribution. Research
westward expansion can be established.        create a host distribution map without the sites will be located within natural beach
                                              need for extensive surveys on the ground. areas, residential areas, and inland sites
In order to more clearly delineate the        Everitt et al. (1991) documented the effec- to look at potential differences in the de-
leading edge of the westward expansion        tiveness of using a camera sensitive to the tection to prickly pear.
of the cactus moth, knowing where             shortwave-infrared (SWIR) spectral re-
prickly pear hosts are is crucial for in-     gion to differentiate prickly pear cactus
creasing detection efforts using traps or     from other plant species in rangeland                                Submitted by David Bartels

                     Climate Host Mapping of Phytopthora ramorum, Causal Agent of Sudden Oak Death
                     March 2005

CPHST-PERAL has been engaged in GIS           To map areas with favorable climates for
mapping for the Sudden Oak Death (SOD)        P. ramorum infection, the NAPPFAST
program since the emergency situation         system was used. Models were constructed
developed in 2004 with the nations wide       that visualize at risk areas based on tem-
shipment of infected nursery stock. SOD,      perature and leaf wetness using 10 and 30
caused by the fungus, Phytopthora             year historical daily climatological data.
ramorum, has the potential to cause sub-      Monthly and annual maps were generated.
stantial ecological and economic damage       The predictive model was validated by
to US forests.                                overlaying confirmation data points with
                                              the annual climate match map. The model
One of the GIS projects currently being       exhibited good predictive power, picking                       Map visualizing areas at risk for
conducted by CPHST-PERAL is climate           up greater than 90% of the SOD confirma-                       P. ramorum infection based on
and host mapping of areas in the continen-    tions in the high climate match zones. A                       climate and host match.
tal US that are susceptible to the disease.   preliminary climate host map was created
The project team includes Roger Maga-         by overlaying and averaging the annual
rey and Glenn Fowler (CPHST-PERAL)            climate map with host distribution.             advance modeling techniques for climate
and Manuel Colunga (Michigan State                                                            host mapping of areas at risk for SOD are
University). The purposes of the project      The monthly and annual maps were used           planned. Global mapping of high risk areas
are to 1) identify areas at risk for SOD to   in the 2004 and 2005 national survey            for P. ramorum infection are also planned
help mitigate potential economic and eco-     manual for SOD. The maps have also been         with the hope of helping identify where the
logical damage, 2) increase the efficacy      distributed to USFS personnel. In addi-         disease originated.
and economy of surveys for the disease, 3)    tion, they have been presented at numer-
assist SOD program managers in making         ous scientific meetings including the SOD
sound regulatory decisions.                   Science panel, SOD program review and
                                              the second SOD science symposium. More                                 Submitted by Glenn Fowler

    Page 5
              Volume I. Issue 1                                                                                                                                                                 CPHST NEWS

                      GIS and Spatial Analysis Support for Grasshopper Program
                      March 2005

The Fort Collins NWML’s “GIS and Spa-           role in our past abilities to produce the                                                                  270000                                 470000                                               670000

tial Analysis Support for Grasshopper           necessary pasture production to supply


Program” is developing a spatial database       the food necessary for our Nation's devel-                               #

that compiles the historic data from field      opment. Being aware of our past only

                                                                                                                                                                                                                                   Grand Forks

surveys that PPQ has conducted across           assists our food production industry to
the West for the past 50 years. The data        combat the cycling Grasshopper/Mormon
are adult grasshopper populations. Spe-         Cricket outbreaks.” The historical record                                                      #                                                                                             West Fargo


                                                                                                                                                                                  Mandan                             #                                  ##
                                                                                                                                               Dickinson                         # #Bismarck               Jamestown                               Fargo

cifically, the project is locating the old      of grasshopper populations is an impor-
paper maps and notes from grasshopper           tant component of this knowledge and
surveys, where they still exist, and digitiz-   needs to be recorded. To prevent the                                                                       270000                                 470000                                               670000

                                                                                                1986 - North Dakota                                                 Adult Grasshopper Density   Other Features

ing the data so it can be used with a GIS       valuable data from being lost, it is being
                                                                                                Adult Grasshopper Survey                                                0-3
                                                                                                                                                                                                      County Boundary    0         25            50 Miles
                                                                                                                                                                        4-8                          State Boundary

system.                                         translated into a spatial database which
                                                                                                prepared December 2004
                                                                                                                                                                        9 - 15                        Water Bodies       0              50             100 Kilometers
                                                                                                USDA APHIS PPQ
                                                                                                Center for Plant Health Science & Technology
                                                                                                                                                                        16 - 55
                                                                                                Fort Collins, Colorado

                                                can be easily utilized and maintained.
In the past, APHIS has relied on experi-                                                        conjunction with various threatened and
enced field personnel to make decisions         Once the data are finalized, it will provide    endangered species (i.e. American Bury-
about when and where to conduct treat-          valuable historical information to both         ing Beetle) management programs.
              ment programs, how large          land and program managers. The data
              the programs should be,           will show grasshopper populations dy-           The potential for this dataset is vast and
              project costs, timing, etc.       namics across the West over a 50 year           can serve as an example for future histori-
              The experience gained from        time period. It can be used with other          cal data efforts. As of February 2005, the
              these programs often resides      data layers, like weather data, to enhance      following progress has been made: Mon-
              in the memory of senior PPQ       modeling population dynamics and “hot           tana, Nebraska, North Dakota and South
              staff, something that is dis-     spot” prediction. The data can be directly      Dakota are nearly complete; Utah, Ne-
              appearing more each               used with existing decision support soft-       vada and Idaho are in progress; and all
              year. In the words of Roe-        ware, like Hopper and CARMA, to assist          other states are waiting on data retrieval
land Elliston, PPQ’s Western Regional           ranchers and land managers with eco-            from the State Plant Health Directors
Program Manager overseeing the Grass-           nomic models. Additionally, analysis of         Offices.
hopper Program, “In all the Western             historical sampling efforts may shed more
States, Grasshoppers/Mormon Crickets            light on the effectiveness of various con-                                                                                  Submitted by Lisa Kennaway
have played an important development            trol mechanisms, and could be used in                                                                                                     & Tom Kalaris

                      Spatial Technology Virtual Team Annual Meeting
                      February 16-17, 2005

The CPHST Spatial Technology Virtual            CPHST STVT members were first identi-           the meeting included David Williams,
Team (STVT) was born out of the idea that       fied in the spring of 2004, and the first       Ron Weeks, Yu Takeuchi, David
CPHST currently has a wealth of expertise       team meeting was held in Raleigh in June,       Prokrym, Roger Magarey, Lisa Ken-
in this emerging field, however those indi-     2004. This meeting was intended to be a         naway, John Gallagher, Glenn
viduals are widely distributed geographi-       gathering of like minds to review active        Fowler, Daniel Fieselmann, Laura
cally and communication is not easily fa-       projects, ensure collaboration where ap-        Duffié, Christina Lohs, Manuel Col-
cilitated. The CPHST STVT was developed         propriate, and prevent duplication of ef-       unga, Brian Spears, Dan Borchert,
to harness the efforts and talents of all       forts.                                          and David Bartels. Team leader Tom
individuals in a collaborative manner. In                                                       Kalaris and member Alan Sawyer were
addition to internal collaboration, external    CPHST Director’s Office recently hosted         unable to attend. Stakeholders and visi-
communication with CPSHT and PPQ                the second annual meeting of the STVT in        tors included Deborah Millis (COTIA),
stakeholders is considered a fundamental        Raleigh, NC. The primary goal of this           Mark Crane (Eastern Region), Doug-
philosophy of the team. Thus, STVT meet-        meeting was to develop a team concept           lass Bopp (Emerald Ash Borer Program),
ings also include stakeholders with a           and design with a clear vision for a col-       and Don Albright (Plum Pox Virus Pro-
vested interest in spatial technology. The      laborative future. As such, significant time    gram).
benefit of inviting the stakeholders is two-    was given to discussion of current GIS and
fold. First, these individuals can learn of     spatial technologies activities as defined by   Presentations from the 2005 STVT Meet-
CPHST projects and actively participate in      CPHST workplans and Ad-Hoc projects.            ing can be found at I:\cphst\Spatial Tech-
project discussions. Secondly, stake-           In addition, there were overarching             nology Virtual Team\. Those who do not
holders can provide feedback and input          themes of Quality Management in Spatial         have access to the CPHST I://Drive may
into the meeting which will better equip        Technologies, as well as alignment with         request the presentations in CD format
CPHST to provide realistic technology for       the COTIA Spatial Technologies APHIS            from Laura
diverse program needs.                          Strategic Plan. STVT members attending          Duffié.                Submitted by Laura Duffié

    Page 6
             Volume I. Issue 1                                                                                       CPHST NEWS

                          GIS Spotlight: David Bartels
                          March 2005

David Bartels, a native of Las Cruces, New      State University for 10 months working        When David isn’t
Mexico, received his B.S. in Agricultural       with Computational Ecology & Visualiza-       traveling around the
Biology from New Mexico State Univer-           tion Laboratory and Center for Global         country for APHIS,
sity. He received his M.S. and Ph.D. in         Change & Earth Observation personnel to       he can be found on
Entomology from the University of Min-          learn advanced spatial analysis and image     his own small piece
nesota. He joined the USDA APHIS Pest           analysis methodology to support Plant         of Texas which he
Detection, Diagnostic, and Management           Protection & Quarantine programs. Cur-        shares with his wife
Laboratory in Edinburg, Texas in 1999.          rent work involves using remote sensing       Barbara, daughters
Within APHIS, he provides scientific sup-       technology for survey work on the Emer-       Rachel and Sarah, 2
port for Domestic and Emergency Pro-            ald Ash Borer program and detecting           horses, 2 cats, and 1
grams by developing geographic informa-         prickly pear along the Gulf Coast for the     dog. In the rare mo-
tion system and remote sensing products         Cactus Moth program.                          ments of free time, David likes to dabble
for tracking insect and disease pests.                                                        in woodworking, gardening, hunting, and
David was recently stationed at Michigan                                                      fishing.

                          GIS Spotlight: Lisa Kennaway
                          March 2005

Lisa Kennaway joined the National Weed          for a research unit at CSU funded by the      Kanab Creek Wil-
Management Lab (NWML) in Fort                   Department of Defense and provided sci-       derness Area.
Collins, CO as a GIS Analyst in April           entific support to the Integrated Training
2004, working under a cooperative agree-        Area Management program. Her specific         Lisa, her husband,
ment with Colorado State University’s           duties focused on providing spatial tech-     and their two dogs
(CSU) Department of Bioagricultural Sci-        nology advancement to military installa-      enjoy spending
ences and Pest Management. Her current          tions across the United States.               time hiking, bik-
project’s focus is on the investigation of                                                    ing, and skiing the
new remote sensing technologies for as-         Lisa earned her M.S. in Rural Geography       mountains of Colo-
sessing phytosanity efforts, the develop-       and Public Planning from Northern Ari-        rado and beyond.
ment of a historical grasshopper data-          zona University in 1998 where she stud-       In addition, she
base, and the implementation of Interna-        ied the application of GIS and GPS to         loves visiting tropical destinations where
tional Standards Organization (ISO) for         human impact monitoring in wilderness         she can explore new environments and
spatial technologies within CPHST.              areas. Her research provided much             cultures.
                                                needed data and analysis to help protect
Prior to working with CPHST, she worked         precious rock art resources within the

                          GIS Spotlight: Tom Kalaris
                          March 2004

Tom Kalaris received a Masters degree in        ArcInfo soon became his main GIS tool.        The Risk Determi-
Mathematics and Statistics from Mon-                                                          nation Tool.
tana State University in 1986. After            Much of his work with ARS involved coop-
graduating he went to work for the ARS          erating with and supporting the grasshop-     Tom’s projects
Rangeland Insect Lab in Bozeman, Mon-           per work of the PPQ state offices. For sev-   currently include
tana. Among the projects he worked on           eral years he produced the annual grass-      the collection and
were population dynamics of rangeland           hopper forecast map for PPQ, using field      archiving of his-
grasshoppers, phenology modeling, and           data and geostatistics.                       toric grasshopper
spatial statistics. His work included some                                                    survey data, inte-
of the first applications of geostatistics to   Tom came to work fulltime for PPQ CPHST gration of GIS applications with ISIS,
biological problems.                            in 1999. Since then he has been involved      and remote sensing applications to de-
                                                with risk based staffing models, port risk    tect Tamarisk and monitor the release
He began working with GIS systems in            analysis, sampling strategies and statistical and spread of biocontrol agents. He cur-
1989 with an abysmal software package           models, and GIS. He has authored or co-       rently has two titles: Acting Lab Director
called SPANS. Over the years he has also        authored several CPHST reports including for the CPHST National Weed Manage-
worked with ArcInfo, ERDAS, Idrisi,             The Statistical Basis for AQIM, The FMD       ment Lab and head of the CPHST Spatial
Mapinfo, GRASS, AtlasGIS, and others.           Report, Mexican Border Risk Analysis, and Technologies Virtual Team.

    Page 7
             Volume I. Issue 1                                                                                      CPHST NEWS

                          USDA APHIS PPQ CPHST                               Phone: 919-855-7400
                          Director’s Office-Suite 400                        Fax: 919-855-7477
                          1730 Varsity Drive                                 Website:
                          Raleigh NC

                     Stakeholder Philosophy: GIS Use in the Field
Don Albright, National Plum Pox Virus         the management of this project. Using         planned surveys.
Operations Director for USDA APHIS            GIS enables project administrators to
PPQ, shares his thoughts on GIS use in        plan surveys and project personnel needs      Is GIS worth the investment? It is for
the field.                                    in the field and lab because of the ability   anyone that wants to be able to quickly
                                              to accurately project the number of sam-      visualize what is happening with a given
GIS has been an integral part of the                                                                field project. It enables one to run
Plum Pox Virus Eradication Project                                                                  what if scenarios while planning
since PPV was discovered in Penn-                                                                   project operations or regulatory
sylvania in 1999. When PPV was                                                                      changes. It allows for better shift-
discovered there were no records of                                                                 ing of assets as situations change
who owned host orchards, where                                                                      in the field. It replaces notebooks
these orchards were located, or how                                                                 full of data and hand drawn maps
many acres were involved. The                                                                       by linking all of that data to fea-
Pennsylvania Department of Agri-                                                                    tures on an accurate map that can
culture (PDA) took the lead in set-                                                                 quickly be retrieved by doing an
ting up a GIS database and worked                                                                   electronic search or selecting a
with programmers from Penn State                                                                    feature. Collecting data electroni-
University to develop scripts to sim-                                                               cally in the field eliminates data
plify ArcView 3.X’s operating sys-                                                                  entry from paper at the office and
tem for data collection and orchard                                                                 eliminates data entry errors. Us-
block mapping. PDA also gathered                                                                    ing ArcPad enables taking that
needed data layers of municipali-                                                                   data and maps from the office to
ties, roads, and worked with Penn                                                                   the field, allowing navigation to a
State University to get the needed                                                                  location by unfamiliar personnel
digital orthoquads (i.e. aerial photo-                                                              and having needed information
graphs) to help define orchard                                                                      about that location in hand to add
blocks. Over the years, the GIS ap-                                                                 to or change as needed once there.
plication was refined and errors corrected    ples that will be generated from a survey
using GPS's to locate blocks.                 area. Quarantine changes are easier to        What is lacking in PPQ is direction as to
                                              establish and track using GIS, along with     what base data is essential for use at the
The first year of survey included 2000        the affect these changes will have on the     national and regional levels for all pro-
properties in core infected areas. As the     designated areas, including the number of     grams when collecting GIS data in the
project grew, more and more field data        growers, acreages, and regulated estab-       field and what format that data needs to
were collected with GIS equipped PDAs         lishments. The revised maps are pub-          be in. Each individual project or program
and hand held computers. The 2004             lished directly from the software. Work       would have additional data requirements
homeowner survey involved visiting            progress tracking and alternate planning      that could be added to the base knowl-
58,000 properties and collecting 43,000       are easily visualized using the maps gen-     edge and used as needed.
samples from 18,000 properties over a         erated by the software and the data col-
400 square mile area. Using GIS, one          lected in the field using PDA’s is synchro-
was able to quickly locate where the one      nized directly into the GIS database al-
positive barcoded homeowner sample            lowing immediate access to this informa-
was collected to initiate removal of the      tion and updates to the maps. Using de-                          Submitted by Don Albright
infected tree and any host material within    fined survey areas and parcel layers from
500 meters of that tree.                      county assessment offices, the project has
                                              been able to notify property owners about
GIS has been an invaluable tool used in

     Page 8

To top