Rutgers, The State University of New Jersey
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA),
Rutgers, The State University of New Jersey
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University


crssa > projects > Eastern LANDFIRE GIS

 

GIS Development & Modeling to Support the USDA Forest Service Eastern LANDFIRE Prototype

 
     
  Principle Investigators: Richard G. Lathrop Jr.1, Ming Xu1
Co-investigators: Zewei Miao1, John Bognar1, Inga P. LaPuma1
Collaborators: John Hom2, Steve Van Tuyl2, Xindi Bian2, Ken Clark2
 
  1 Grant F. Walton Center for Remote Sensing and Spatial Analysis, Rutgers University
2 US Department of Agriculture (USDA) Forest Service
 

  LANDFIRE, also known as the Landscape Fire and Resource Management Planning Tools Project, is a five-year, multi-partner and mid-scale US national project producing consistent and comprehensive maps and data describing vegetation, wildland fuel, and fire regimes across the United States (US Forest Service, http://www.landfire.gov). The LANDFIRE Prototype is one of LANDFIRE's four project components.  
     
  This project was funded by the USDA Forest Service.  

 
OVERVIEW

Fire disturbance is an important factor to influence ecological sucession, biodiversity, wildlife habitat, and carbon dynamics of terrestrial ecosystems. In response to fire impacts and changes in fire regimes, the U.S. Department of Agriculture Forest Service and U.S. Department of the Interior jointly developed a cohesive strategy (e.g., LANDFIRE project) to implement the US National Fire Plan. LANDFIRE, also known as the Landscape Fire and Resource Management Planning Tools Project, is a five-year, multi-partner and mid-scale US national project producing consistent and comprehensive maps and data describing vegetation, wildland fuel, and fire regimes across the United States (US Forest Service). The project has four components: the LANDFIRE Prototype, LANDFIRE Rapid Assessment, LANDFIRE National Methodologies, and Training/Technology Transfer (Figure 1). Detailed descrptions of  the LANDFIRE project can be found in the website of LANDFIRE project (http://www.landfire.gov/).

STUDY AREA

The study was conducted at two levels, 1) MRLC (Multi-Resolution Land Characterization) zone 60 level (mid-scale) and 2) the New Jersey Pinelands level (fine-scale).

1) MRLC (Multi-Resolution Land Characterization) zone 60 level. is a second-generation federal consortium designed to create an updated pool of nation-wide Landsat 5 and 7 imagery and derive a second-geneartion national land cover database (i.e., NLCD 2001) (Homer et al. 2004). Using mapping-zone approach, the MRLC databases grouped the United States of America into 66 zones in the continential and 23 zones in Alaska. MRLC zone 60 includes a part of New Jersey, Pennsylvania, Maryland, Virginia, North Carolina and the whole Delaware. (see figure 2)

2) The New Jersey Pinelands level: the New Jersey Pinelands is the first US National Reserve and a U.S. Biosphere Reserve of the Man and the Biosphere Program. The pinelands consists of approximately 1.1 million acres in southern New Jersey, and two relatively distinct floristic complexes are present in the Pinelands, a lowland complex (wetland) and an upland complex.

DATA DEVELOPMENT

Rutgers CRSSA compiled, processed, and mosaiced USDA NRCS STATSGO and SSURGO soil data sets and simulated consistent and comprehensive biophysical layers including water cycling and carbon dynamic in support of he Eastern Landfire Prototype and the mapping efforts of the Northern Global Change Program.

MODELING

In the project, the WxBGC model was used to generate consistent and comprehensive spatially explicit biophysical layers containing vegetation, litter, soil carbon, water vapor, fire disturbances, etc. of MRLC (Multi-Resolution Land Characterization) zone, in support of the US national LANDFIRE prototype and vegetation mapping (Keane et al., 2006). The WxBGC model, developed by the USDA Forest Service National LANDFIRE project, combines the WxFIRE and Biome-BGC models (biogeochemical carbon cycle model). (see figures 4 & 5)

 

REFERENCES

Homer, C., C. Huang, L. Yang, B. Wylie, and M. Coan. 2004. Development of a 2001 national land-cover database for the United States. Photogramm. Eng. Rem. Sen. 70: 829–840.

Keane, R.E., L.M. Holsinger, S.D. Pratt. 2006. Simulating historical landscape dynamics using the landscape fire succession model LANDSUM version 4.0. USDA For. Serv. RMRS-GRT-171CD. 73P.

Lathrop, R.G., Z. Miao, M. Xu, and I.P. LaPuma. Integrating landscape change and ecosystem modeling of the wildland/urban interface of the New Jersey Pinelands. US-IALE (The United States Regional Association of the International Association for Landscape Ecology) 22nd Annual Conference, Tucson, Arizona, April 9-13, 2007.

Miao, Z, R.G. Lathrop, M. Xu, I.P. LaPuma, K.L. Clark, J. Hom, and N. Skowronski. Modeling and sensitivity analysis of carbon storage and fluxes in the New Jersey Pinelands. 2008 AAG (Association of American Geographers) Annual Meeting, Boston, Massachusetts, April 15-19, 2008.

 

 

GALLERY

LANDFIRE project framework

Figure 1. Landfire project framework

LANDFIRE project framework

Figure 2. Study Area: MRLC Zone 60 level

LANDFIRE project framework

Figure 3. Study Area: New Jersey Pinelands

LANDFIRE project framework

Figure 4. WxBGC model

LANDFIRE project framework

Figure 5. The WxBGC model input data

LANDFIRE project framework

Figure 6 (animation). Annual net ecosystems productivity in the NJ Pinelands (WxBGC model)

LANDFIRE project framework

Figure 7 (animation). Monthly net primary productivity in the NJ Pinelands (WxBGC model)

LANDFIRE project framework

Figure 8. Biophysical layer outputs at MRLC zone 60 level (WxBGC model)
Graphics by Zwei Miao, CRSSA, Rutgers University except figure 1 (USDA Forest Service)



PROJECT OUTPUTS
• Study Plan
• Reference plot data
• NJ Land Cover classification data (1972-1984-1995-2001). 
• Merged SSURGO/STATSGO Soils Data for Northeastern and Mid-Atlantic US.
• Fire/ecosystem mapping & modeling for the New Jersey Pine Barrens
• GIS and biophysical mapping products from LANDFIRE-US models and downscaling tools to provide consistency with the national mapping program.
• Additional characterization of the urban/wildland interface in the Mid-Atlantic region
• Land use change and vegetation change projections
 

 
CONTACT

Richard G. Lathrop, Jr.
Director, Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University
Professor, Department of Ecology, Evolution, and Natural Resources
lathrop@crssa.rutgers.edu | 732/932-1582


 
 


Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA)
School of Environmental and Biological Sciences
Rutgers, The State University of New Jersey
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New Brunswick, NJ USA 08901-8551
Tel: 732/932-1582
Fax: 732/932-2587
Web: crssa.rutgers.edu

 
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