Skip Navigation

NCSS Social Media

2006 Applied Technology Committee - Landscape Modeling

Catagory Type Activities Contact
Landscape Modeling PURC A Cooperative Ecosystem Studies Unit (CESU) agreement was initiated by the BLM with Dr. Janis Boettinger, Utah State University, to develop protocols and methodology for accelerating soil survey of Wyoming public lands. Under Janis’s guidance, Nephi Cole former Utah State University graduate student and current NRCS soil scientist, has developed a knowledge based classification system (Pedogenic Understanding Raster-Based Classification (PURC) Methodology) predicting soil distribution on six 7 ½ minute quads in the pilot project area. DEMs and TM band ratio data and local knowledge of the soil-landscape relationships were used to drive the model. Research required to complete Phase I includes further field checking. A final accuracy assessment will be performed by developing an error matrix, analyzing the results using the Kappa statistic (a type of chi-square analysis), and calculating confidence intervals. Preliminary indications suggested good correlation of the model to field verification. Rick Shuler
BLM
rick_shuler@blm.gov

Darrell Schroeder
NRCS
Darrell.Schroeder@wy.usda.gov

Janis Boettinger
Utah State
jlboett@cc.usu.edu
Landscape Modeling CART A Cooperative Ecosystem Studies Unit (CESU) agreement was initiated by the BLM with Dr. Janis Boettinger, Utah State University, to develop protocols and methodology for accelerating soil survey of Wyoming public lands. Amy Saunders, USU Graduate Research Assistant, created digital models using GIS that represent the five soil forming factors in the 4Cs project area in Sublette County. These models will provide preliminary maps indicating potential changes in soil characteristics. Amy is using a Classification and Regression Tree (CART) methodology to develop her predictive model. Field testing of the model will begin later this field season. Rick Shuler
BLM
rick_shuler@blm.gov

Darrell Schroeder
NRCS
Darrell.Schroeder@wy.usda.gov

Janis Boettinger
Utah State
jlboett@cc.usu.edu
Landscape Modeling Randomized Points Efforts are underway by NRCS in California, in cooperation with Humboldt State University and BLM to develop methods for soil distribution modeling. The goals are to accelerate soil mapping, reduce costs, extract soil-forming factor relationships from current SSURGO data on areas adjacent to update or new mapping, and provide value enhanced soil survey products. One test site is the BLM Johnson Valley OHV area near Victorville, California. A stratified random sampling scheme was used to select point data locations which were described and sampled. Thematic mapper (TM) band ratio combinations (3/2, 3/7, and 5/7) developed by the BLM and variables derived from DEM data (landform, slope steepness, slope aspect, profile curvature, plan curvature, compound slope shape, and elevation) were used to develop a predictive model of selected soil property distribution in the test area. Statistical analysis was conducted by Dr. Yoon Kim, Humboldt State University of the correlation of the predicted distribution of the soil properties to the field sampled data. David Howell
NRCS
david.howell@ca.usda.gov
Landscape Modeling Predictive Modeling Utah State University proposes to enter into an agreement with BLM to develop, test, and implement a standard protocol for utilizing geographic information and processing to improve the efficiency, quality, and flexibility of soil survey on public lands in a test project area in Beaver County, Utah. The expected product is a protocol for soil survey that can be in other soil survey areas. Lisa Bryant
BLM
lisa_bryant@blm.gov
Landscape Modeling Wilderness Mapping Pursuing the use of advanced technology in the mapping of Death Valley National Park, Joshua Tree National Park, and Mojave National Preserve. These parks total over 5,950,000 acres, with over 3,000,000 acres designated as Wilderness. Issues regarding limited access and what soil survey methods are allowable in wilderness areas lead NPS to pursue the use of advanced technology to assist in the development of soil surveys that still will serve as a basic inventory of soils, as well as providing a soils database to meet current and future needs of the NPS. Pete Biggam
NPS
National
pete_biggam@nps.gov
Landscape Modeling Wilderness Mapping Pursuing the use of advanced technology in the mapping of North Cascades National Park, Mount Rainier National Park, and Olympic National Park, Lake Chelan National Recreation Area, and Ross Lake National Recreation Area. These parks total over 1,750,000 acres, with over 1,650,000 acres designated as Wilderness. Issues regarding limited access and what soil survey methods are allowable in wilderness areas lead NPS to pursue the use of advanced technology to assist in the development of soil surveys that still will serve as a basic inventory of soils, as well as providing a soils database to meet current and future needs of the NPS. Also are interested in what our USFS neighbors will be acquiring on their lands, under similar situations. Will be pursuing methods utilized in the mapping of the USFS Pasayten Wilderness by Toby Rodgers, NRCS, as well as those developed by Crystal Briggs, Washington State University, in the Thunder Creek Watershed Project, North Cascades National Park. Pete Biggam
NPS
National
pete_biggam@nps.gov
Landscape Modeling TEUI and ECOMAP Initial discussions with USFS and NRCS to discuss the use of advanced technology to address the update of soils mapping for Yellowstone National Park, Grand Teton National Park, and John D. Rockefeller Memorial Parkway. These parks total over 2,600,000 acres, with over 2,250,000 acres designated as Wilderness. Looking at developing a soil resource inventory to support multi-agency needs for soils information within the Greater Yellowstone Ecosystem. Interested in pursuing the use of the TEUI Toolkit to assist mapping of soils across landscapes irregardless to agency ownerships. Also interested in the incorporation of the National Hierarchical Framework of Ecological Units (ECOMAP) within the soil mapping process to address the relationships of soils to other components of the ecosystems, and the processes that affect them. Pete Biggam
NPS
National
pete_biggam@nps.gov
Landscape Modeling TEUI The TEUI toolkit was first tested on the Custer National Forest. The Custer National Forest was the first location where the TEUI toolkit was field tested. John Lane
USFS
jlane@fs.fed.us
Landscape Modeling TEUI The TEUI toolkit will be used to pre-process digital information and digitize soil polygons for the pre-mapping product for the survey on the Shoshoni National Forest in Wyoming. Dr. Janis Boettinger, Utah State University, has been contracted to assist in the use of the TEUI toolkit. Kent Houston
USFS
khouston@fs.fed.us
Landscape Modeling TEUI The TEUI toolkit will be used to pre-process digital information and digitize soil polygons for the pre-mapping product for the survey on the Tonto National Forest in Arizona. George Robertson
USFS
grobertson@fs.fed.us
Landscape Modeling TEUI The TEUI toolkit will be used to pre-process digital information and digitize soil polygons for the pre-mapping product for the survey on the Humboldt National Forest in Nevada. Jim Hurja
USFS
jhurja@fed.fs.us
Landscape Modeling TEUI The TEUI toolkit will be used to pre-process digital information and digitize soil polygons for the pre-mapping product for the survey on the Modoc National Forest in California. Sidney Smith
USFS
Landscape Modeling TEUI The TEUI toolkit will be used to pre-process digital information and digitize soil polygons for the pre-mapping product for the survey on the Klamath National Forest in California. Max Cressing
USFS

Bonnie Allison
USFS
ballison@fs.fed.us
Landscape Modeling TEUI and LANDSAT The TEUI toolkit is being used to pre-process digital information and digitize soil polygons for the pre-mapping product for the land type association survey on the Fremont National Forest. Landsat imagery was used to help determine plant community relationships the on landscape, especially on a large area that had been burned by wildfire. Eric Nicita
USFS
enicita@fs.fed.us
Landscape Modeling TEUI The TEUI toolkit is being used to pre-process digital information and digitize soil polygons for the pre-mapping product for the TEUI survey on the Uinta National Forest in Utah. Bob Davidson
USFS
radavidson@fs.fed.us
Landscape Modeling TEUI The TEUI-Geospatial Toolkit was designed to implement and maintain the FS mapping standards of TEUI. The application was built on Erdas Imagine 8.5 and ArcInfo platforms to provide resource specialists the ability to: load geospatial data; visualize landscapes, delineate land units; analyze environmental variables; and generate hard-copy map products. Types of data currently used by the Toolkit include: Cartographic Feature Files, Digital Elevation Models (DEMs), Digital orthophoto Quadranges (DOQs), and Landsat Enhanced Thematic Mapper satellite imagery. Currently the TEUI-Geospatial Toolkit is in the transition from prototype phase to operational phase. One of the features of the new design would be to provide a large geospatial data storage capability on a server that could be accessed by TEUI toolkit users to retrieve data off a menu. The data would be pre-processed and merged to meet user requirements and delivered to the user upon request. Another development is the creation of functions currently performed by Erdas Imagine within the ArcGIS platform for the toolkit. The cooperation of other Federal agencies in the reconfiguration of the TEUI toolkit to allow easy use by those other agencies is being explored. The issues of configuration, business needs, and standard data available to the potential user agencies have been identified. A non-Forest Service installation package has been prepared for some agencies and universities on a limited basis. Bob Davidson
USFS
radavidson@fs.fed.us