| Wednesday, 1 October 2008 |
| SESSION |
TIME |
TOPIC |
TITLE |
PRESENTER |
INSTITUTION |
| session 1 |
7:30 - 8.30 |
Registration Lobby, Eccles Conference Center, Utah State University |
|
|
|
| 8.30 - 9:00 |
Welcome, Introduction to Workshop goals and desired outcomes |
Auditorium (Room 216), Eccles Conference Center, Utah State University |
Janis Boettinger |
Utah State University |
| 9.00 - 9:30 |
Keynote Presentation - DSM 2008 |
Soils are back on the global agenda |
Alfred Hartemink |
ISRIC - World Soil Information |
| 9.30 - 10.00 |
Legacy data in DSM Keynote |
Soil - landscapes basis for DSM in New Zealand |
Allan Hewitt |
Landcare Research |
| 10:00 - 10:30 |
Break |
|
|
|
| 10:30 |
1 - Legacy data in DSM. |
e - SOTER: regional pilot platform as EU contribution to a Global Soil Observing System |
Vincent van Engelen |
ISRIC - World Soil Information |
| 10:40 |
1 - Legacy data in DSM. |
Hierarchical Soil GIS of Russia |
Polina V. Koroleva |
V.V. Dokuchaev Soil Science Institute |
| 10:50 |
1 - Legacy data in DSM. |
Methodology for Updating Large - Scale Soil Maps with the Use of Digital Mapping Techniques |
Yekaterina V. Vilchevskaya |
V.V. Dokuchaev Soil Science Institute, Russia |
| 11:00 |
1 - Legacy data in DSM. |
Legacy soil data harmonization and database development |
Endre Dobos |
University of Miskolc |
| 11:10 |
1 - Legacy data in DSM |
. Integrating spatial legacy data of complementary soil surveys |
László Pásztor |
Research Institute for Soil Science and Agricultural Chemistry of the |
| 11:20 |
1 - Legacy data in DSM. |
Assessment of the areas of salt - affected soils in the European part of Russia on the basis of a digital map of salt - affected soils of Russia, 1:2.5 M scale |
Galina I. Chernousenko |
V.V. Dokuchaev Soil Science Institute |
| 11:30 |
1 - Legacy data in DSM. |
The disaggregating and downscaling of vector soil maps |
Borut Vršcaj |
Agricultural Institute of Slovenia |
| 11:40 |
1 - Legacy data in DSM. |
Updating the Dutch soil map using soil legacy data: a multinomial logistic regression approach |
Bas Kempen |
Wageningen University |
| 11.50 |
1 - Legacy data in DSM. |
Mapping the extent of peatlands using GIS and legacy soil information |
Mogens H. Greve |
Árhus University |
| 12.00 - 13.00 |
Lunch |
Rooms 205 - 207, Eccles Confererence Center, Utah State University |
|
|
| 13.00 |
1 - Legacy data in DSM. |
Mapping Wetlands in Mountainous Areas Using Compound Terrain Index and the National Wetland Inventory |
John Galbraith |
Virginia Tech |
| 13.10 |
1 - Legacy data in DSM. |
Toward Digital Soil Mapping in Canada: An overview of existing soil survey data and related expert knowledge |
Xiaoyuan Geng |
Agriculture and Agri - Food Canada |
| 13.20 |
1 - Legacy data in DSM. |
Digital Soil Property Mapping using legacy data |
Thomas Mayr |
Cranfield University |
| 13.30 - 14.00 |
Discussion |
|
|
|
| session 2 |
14.00 - 14.30 |
2 - Sampling schemes, environmental covariates |
TBA |
|
|
| 14.30 |
2 - Sampling schemes,environmental covariates in DSM. |
Modeling Soil Depth based upon Topographic and Landscape Attributes |
Teklu Tesfa |
Utah State University |
| 14.40 |
2 - Sampling schemes, environmental covariates in DSM. |
Using remotely sensed vegetation cover to digitally map soils in remote, steep, humid temperate climates |
Bruce Frazier |
Washington State University |
| 14.50 |
2 - Sampling schemes, environmental covariates |
Applying geochronology in predictive digital mapping of soils |
Jay Noller |
Oregon State University |
| 15.00 - 15.30 |
Break |
|
|
|
| 15.30 |
2 - Sampling schemes,environmental covariates in DSM. |
Land surface feedback dynamic patterns extracted from MODIS and their relationships with soil types |
A - Xing Zhu |
University of Wisconsin - Madison |
| 15.40 |
2 - Sampling schemes, environmental covariates in DSM. |
Applying Conditional Latin Hypercube (cLHS) for selecting soil sampling location for Digital Soil Mapping at Parque Estadual da Mata Seca, MG, Brazil |
Maria Mendonça - Santos |
Embrapa Solos |
| 15.50 |
2 - Sampling schemes, environmental covariates in DSM. |
Scale effects on terrain attribute calculation and their use as environmental covariates for digital soil mapping |
James Thompson |
West Virginia University |
| 16.00 |
2 - Sampling schemes, environmental covariates in DSM. |
A discussion of some new, or not yet widely used, approaches for analysing DEM data to extract and classify landform patterns and landform elements for use in digital soil mapping. |
Robert MacMillan |
LandMapper Environmental Solutions Inc. |
| 16.10 |
2 - Sampling schemes, environmental covariates |
Application of Conditioned Latin Hypercube Sampling in Arid Rangelands in Utah |
Colby W. Brungard |
Utah State University
|
| 16.20 |
2 - Sampling schemes, environmental covariates in DSM. |
Conventional Soil Survey Methods versus Digital Soil Mapping Techniques in the Mojave Desert, California, USA |
Carrie - Ann Haydu - Houdeshell |
USDA - NRCS |
| 16.30 |
2 - Sampling schemes, environmental covariates in DSM. |
Remote spectral sensing of biological soil crusts in digital soil mapping, Canyonlands National Park, USA |
Megan Hirschi |
Utah State University |
| 16.40 |
2 - Sampling schemes, environmental covariates |
A new comprehensive method for identifying terrain shape from DEMs |
Jacek S. Blaszczynski |
BLM National Operations Center |
| 16.50 - 17.20 |
Discussion |
|
|
|
| 18.30 - 20.30 |
Opening Social |
The Italian Place, 48 Federal Avenue, Downtown Logan |
|
|
| Thursday, 2 October 2008 |
| |
8:00 |
Recap of Day1, Intro to goals of Day 2 |
Audiorium (Room 216), Eccles Conference Center, Utah State University |
|
|
| session 3 |
8:20 - 8:50 |
Keynote for 3 (Tentative) |
The Soil Spectroscopy Group and the development of a global spectral library |
Raphael Viscarra Rossel |
CSIRO Land & Water |
| 8:50 |
3 - Sensors, technologies for soil properties/status. |
The use of hyperspectral imagery for Digital Soil Mapping in Mediterranean areas : first results and perspectives |
Philippe Lagacherie |
INRA LISAH |
| 9.00 |
3 - Sensors, technologies for soil properties/status. |
DSM in Rural Areas in South Africa: Various Cases, with specific reference to Agriculture. |
Lucky Maako Tshwane |
University of Technology |
| 9.10 |
3 - Sensors, technologies for soil properties/status. |
Estimation of soil variables using laboratory, field and airborne hyperspectral measurements for soil erosion assessment in agricultural ecosystems |
Heike Gerighausen |
German Aerospace Center, German Remote Sensing Data Center |
| 9.20 |
3 - Sensors, technologies for soil properties/status. |
Classifying Ugandan Dambo Wetland Soils Using Multispectral and Topographic Remote Sensing Data |
Philip Dennison |
University of Utah |
| 9.30 |
3 - Sensors, technologies for soil properties/status. |
Soil Organic Carbon Estimation from Lab - Based Spectroscopy in the State of Florida |
Gustavo Vasques |
Soil and Water Science Dept., University of Florida |
| 9.40 |
3 - Sensors, technologies for soil properties/status. |
‘VIS/NIR mapping of SOC and extent of organic soils in the Nørre Å valley’ |
Maria Knadel |
University of Aarhus, Faculty of Agricultural Sciences, Dept. of |
| 9.50 |
3 - Sensors, technologies for soil properties/status. |
Predictive soil maps based on geomorphic mapping, remote sensing, and soil databases in the desert southwest U.S.A. |
Steven Bacon |
Desert Research Institute |
| 10.00 - 10.30 |
break |
|
|
|
| 10.30 |
3 - Sensors, technologies for soil properties/status. |
Digital Soil Mapping Using Quantitative Hydrology Remote Sensing |
Emily Engle |
New Mexico Tech |
| 10.40 |
3 - Sensors, technologies for soil properties/status. |
Improving soil carbon mapping at field scale level by using near infrared spectroscopy and topographicalderived parameters |
Juan David Munoz |
Michigan State University |
| 10.50 |
3 - Sensors, technologies for soil properties/status. |
Potential and limitations of "on - the - go" VisNIR spectroscopy for measuring and mapping soil clay and organic carbon content |
Ross Bricklemyer |
Washington State University |
| 11.00 |
3 - Sensors, technologies for soil properties/status. |
Exploring ASTER Imagery for Digital Soils Mapping in the Mojave Desert |
Christine Blinn |
Virginia Polytechnic Institute & State University |
| 11.10 |
3 - Sensors, technologies for soil properties/status. |
Using Electromagnetic Induction Images of a Watershed Subsurface to Predict Soil Textural Properties |
Hiruy Abdu |
Utah State University |
| 11.20 |
3 - Sensors, technologies for soil properties/status, 6 - Protocol for making DSM operational. |
Digital soil - class mapping using proximal and remotely sensed data at the field level |
John Triantafilis |
UNSW |
| 11.30 - 12.00 |
discussion |
|
|
|
| 12.00 - 13.00 |
Lunch |
Rooms 205 - 207, Eccles Conference Center, Utah State University |
|
|
| session 4 |
13.00 - 13.30 |
4 - Innovative inference systems |
Topography revisited - Towards a new spatial data mining framework for terrain based digital soil mapping |
Thorsten Behrens |
University of Tübingen, Germany |
| 13.30 |
4 - Innovative inference systems |
Large scale digital mapping of soil cover patterns |
Daniil Kozlov Lomonosov |
Moscow State University, Faculty of Geography, Russia |
| 13.40 |
4 - Innovative inference systems |
Spatial Prediction and Uncertainty Assessment for Mapping the Spatial Distributions of Soil Organic Carbon in Hebei Province of China |
Yongcun Zhao |
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences |
| 13.50 |
4 - Innovative inference systems |
Application of Artificial Neural Network and Decision Tree in a GIS - based Predictive Soil Mappingin sloping area. A Case Study of Hoi Num Rin Subwatershed, Thailand |
Ruamporn Moonjun |
International Institute for Geoinformation Science and Earth Observation |
| 14.00 |
4 - Innovative inference systems |
Digital Mapping of Soil Attributes in an arid and flat region |
Ahmad Jalalian Isfahan |
University of Technology |
| 14.10 |
4 - Innovative inference systems |
Prediction of soil parameters using Artificial Neural Network |
Hussein Elarabi |
Associate Professor at BRRI, UofK |
| 14.20 |
4 - Innovative inference systems |
Mapping heavy metal content in soils with Multi - Kernel SVR and LIDAR derived data |
Cristiano Ballabio |
Dept. of Environmental and Land Sciences. University of Milano - Bicocc |
| 14.30 |
4 - Innovative inference systems |
Evaluation of the Transferability of a Knowledge - Based Soil - Landscape Model |
Jessica Philippe |
USDA - NRCS |
| 14.40 |
4 - Innovative inference systems |
Mapping Soil Subsurface Structures from Borehole Observations |
Chuanrong Zhang |
University of Connecticut |
| 14.50 |
4 - Innovative inference systems |
Random Forests Applied as a Soil Spatial Predictive Model in Arid Utah |
Alexander Stum |
USDA Natural Reources Conservation Service |
| 14.40 - 15.20 |
discussion |
|
|
|
| 15.20 - 15.50 |
break |
|
|
|
| session 5 |
15.50 - 16:30 |
7 - Global DSM, 6 - Protocol for making DSM |
Methodology for global digital soil mapping |
Alex mcBratney |
The University of Sydney |
| 16.30 |
4 - Innovative inference systems |
Homosoil, a procedure for identifying areas with similar soil forming factors |
Budiman Minasny |
The University of Sydney |
| 16.40 |
7 - Global DSM, 1 - Legacy data in DSM. |
Updating of small - scale soil maps of China using digital soil mapping technology |
Gan - Lin Zhang |
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences |
| 16.50 |
7 - Global DSM, 6 - Protocol for making DSM |
GlobalSoilMap.net: Canada - United States Case Study |
Jon Hempel |
NRCS - Natural Resources Conservation Service |
| 17.00 - 17.30 |
discussion |
|
|
|
| 19.00 - 22.00 |
Workshop Dinner, Live Music, Dancing |
Ballroom of The Bullen Center, Cache Valley Center for the Arts, 43 South Main, Dowtown Logan |
|
|
| Friday, 3 October 2008 |
| |
8:00 |
Recap of Day2, Intro to goals of Day 3 |
Audiorium (Room 216), Eccles Conference Center, Utah State University |
|
|
| session 6 |
8.20 - 8.50 |
5 - DSM products for environmental applications |
terraGIS - a web - based Geographic information System for natural resource management in cotton |
John Triantafilis |
UNSW |
| 8.50 |
5 - DSM products for environmental applications |
Mapping the CN ratio of the forest litters in Europe |
Florence CARRE |
JRC |
| 9.00 |
5 - DSM products for environmental applications. |
Using DSM data for modeling wind erosion events - bridging the gap between DSM and DSA |
Reuter Hannes |
JRC |
| 9.10 |
5 - DSM products for environmental applications. |
Automatic Interpretation of Quickbird Imagery for Digital Soil Mapping (North Caspian Region, Russia) |
Maria V. Konyushkova |
V.V. Dokuchaev Soil Science Institute |
| 9.20 |
5 - DSM products for environmental applications |
Monitoring of Soil Salinity in Irrigated Lands of Golodnaya Steppe (Uzbekistan) |
Dmitry I. Rukhovich |
V.V. Dokuchaev Soil Science Institute, Russia
|
| 9.30 |
5 - DSM products for environmental applications |
Estimating soil organic matter content by regression kriging. |
Alessandro Marchetti |
CRA - Research Centre for the Soil - Plant System |
| 9.40 |
5 - DSM products for environmental applications, 1 - Legacy data in DSM. |
Modelling and Digital Soil Mapping of the Organic Carbon Stock in the topsoil (0 - 10 cm) of Rio de Janeiro State, Brazil |
M.L. Mendonca - Santos |
Empresa Brasileira de Pesquisa Agropecuária, Centro Nacional de Pesquisa de Solos. |
| 9.50 |
5 - DSM products for environmental applications, 1 - Legacy data in DSM. |
Comparison of Geographic Weighted Regression and Regression Kriging in predicting the SOC pool at a regional scale |
Umakant Mishra |
Ohio State University |
| 10.00 - 10.30 |
break |
|
|
|
| 10.30 |
5 - DSM products for environmental applications |
Digital Soil Mapping Using Soil - Land Inference Model (SoLIM) |
You Jiao |
National Land and Water Information Service, Agricultural |
| 10.40 |
5 - DSM products for environmental applications. |
Compiling digital soil map of China at the scale of 1:1,000,000 using Soil Taxonomy based on Soil Database of China |
Xuezheng Shi |
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences |
| 10.50 |
5 - DSM products for environmental applications. |
Compiling functional soil maps and estimating their reliability using spatio - temporal features of Digital Kreybig Soil Information System |
László Pásztor |
Research Institute for Soil Science and Agricultural Chemistry of the Hungarian Academy of Sciences |
| 11.00 |
5 - DSM products for environmental applications. |
Spatial variability of soil properties within small productive landscapes in the Central Colombian Andes |
Franco Obando - Moncayo |
Universidad de Caldas, Departamento de Sistemas de Producción |
| 11.10 |
5 - DSM products for environmental applications |
Biogeochemical Soil - Landscape Modeling |
Sabine Grunwald |
University of Florida |
| 11.20 |
5 - DSM products for environmental applications |
Soil Mapping by integrating Remote Sensing, Geostatistics and GIS |
Martin Dokiburra |
National Bureau of Soil Survey & Land use Planning, INDIA |
| 11.30 |
5 - DSM products for environmental applications |
Mapping surface soil pH in Europe (Tentative) |
Rueter Hannes |
JRC |
| 11.40 - 12.10 |
discussion |
|
|
|
| 12:10 - 13:00 |
Lunch |
Room 205 - 207, Eccles Conference Center, Utah State University |
|
|
| session 7 |
13.00 - 13.30 |
6 - Protocol for making DSM operational - Keynote |
Multi - criteria Assessment of Digital Soil Modeling Approaches |
Sabine Grunwald |
University of Florida |
| 13.40 |
6 - Protocol for making DSM operational, 5 - DSM products for environmental applications. |
Completion of Operational Predictive Ecosystem Mapping (PEM) for 8.2 Million ha in the Cariboo Forest Region of BC, Canada: Results, Lessons Learned and Initial User Applications |
Robert (Bob) MacMillan |
LandMaper Environmental Solutions Inc. |
| 11.00 |
6 - Protocol for making DSM operational, 5 - DSM products for environmental applications. |
Landform Mapping of the North Cascades National Park, Washington |
Phil Roberts |
Washington State University |
| 13.50 |
6 - Protocol for making DSM operational. |
National Operational Initiative DSM Coordination: Mojave Desert Case Study |
Amanda Moore |
USDA - Natural Resources Conservation Service |
| 14.10 |
6 - Protocol for making DSM operational. 2 - Sampling schemes, environmental covariates in DSM. |
Applying the Optimum Index Factor to Multiple Data Types for Production Soil Survey |
Suzann Kienast - Brown |
USDA Natural Resources Conservation Service |
| 14.20 |
6 - Protocol for making DSM operational. |
USDA Forest Service TEUI - Geospatial Toolkit: |
Haans Fisk |
USDA Forest Service |
| 14.30 |
6 - Protocol for making DSM operational. |
USDA Forest Service TEUI - Geospatial Toolkit: A Case Study in Pre - Mapping for an Ecosystem Inventory |
Sanford Moss |
USDA Forest Service |
| 14.40 |
6 - Protocol for making DSM operational. |
Computer - assisted Geopedology for Predictive Soil Mapping |
D G Rossiter |
ITC Enschede |
| 14.40 - 15.10 |
discussion |
|
|
|
| 15.10 - 15.40 |
break |
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15.40 |
rapporteur session 1 |
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15.50 |
rapporteur session 2 |
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16.00 |
rapporteur session 3 |
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16.10 |
rapporteur session 4 |
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16.20 |
rapporteur session 6 (topic 5) |
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16.30 |
rapporteur session 7 (topic 6) |
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16.30 - 17.00 |
workshop wrap - up, identify future priorities for DSM |
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