Publications and Presentations:

William Salas:

Selected Recent Publications and Reports ( out of more than 50 total )

1. Salas, W, Frolking, S and C., Li, 2002, Air Emissions from Animal Feeding Operations: A Scientific Review and Assessment of
   CARB Ammonia and Reactive Organic Gas Emission Factors, AGS-61-02-01, Report to California Farm Bureau Federation.
2. Salas, W, 2001, Nutrient Fluxes to Air and Water: A Review of Nitrogen and Phosphorus Inventories for the US, AGS-61-01-01,
   Report to Science Applications International Consultants.
3. Salas, W, Li, C., and S., Boles, 2001, Estimating Nitrous Oxide Emissions from Agricultural Lands in US: An Analysis of 1997
   Agricultural Census Data with DNDC, AGS-61-01-02, Report to Science Applications International Consultants.
4. Qi, J, Wang, C., and W. Salas, 2004, Tropical Forest Biomass Estimation with Synergistic Use of JERS-SAR and NVIR Data: a
   Case Study in Mae Chaem Watershed, Thailand, JERS-1 Research Invitation Program Final Report, pp. 81-84.
5. Salas, W ., Boles, S., Frolking, S., Xioa, X., and Li,C., 2003, The perimeter/area ratio as an index of misregistration bias in land
   cover change estimates, International Journal of Remote Sensing, 24(5):1165-1170
6. Salas, W ., Boles, S., Liao, B., Frolking, S., Xiao, X., and C. Li, 2003, Utilization of multi-temporal RADARSAT data for rice growth
   monitoring and area mapping in South-central China, submitted to Remote Sensing of Environment.
7. Samek J.H. , D.X. Lan, C. Silapathong, C. Navanagruha, S.M.S. Abdullah, I. Gunawan, B. Crisostomo, F. Hilario, H.M. Hien, D.L.
   Skole, W. Chomentowski, W.A. Salas, H. Sanjaya, 2004, Land Use and Land Cover Change in Southeast Asia. In Land Change
   Science: Observing, Monitoring, and Understanding Trajectories of Change on the Earth’s Surface (Gutman et al. eds). Kluwer
   Academic Publishers (in press).
8. Braswell, B.H., Hagen, S., Frolking, S., and Salas, W., 2003, A Multivariable approach for mapping sub-pixel land cover
   distributions using MISR and MODIS: Application in the Brazilian Amazon Region, Remote Sensing of Environment, 87:243-256.
9. Zarin, D., Hurtt, G and Salas, W., 2002, Carbon accumulation in Amazonia Regrowth Forests: Model analysis, refinement and
   convergence, submitted to Ecological Applications.
10. Li, C., Qiu, J., Frolking, S., Xiao, X., Salas, W., Moore, B., Boles, S., Huang, Y, and Sass, R., 2002, Reduced methane emissions
    from large-scale changes in water management of China’s rice paddies during 1980-2000, Geophysical Research Letters ,
    29(20), doi:10.1029/2002GL015370.
11. Li, Changsheng, Zhuang, Y., Cao, M., Crill, P., Dai, Z., Frolking, S., Moore, B., Salas, W., Song, W., and X. Wang. 2002.
    Developing a national inventory of N 2O emissions from arable lands in China using a process-based agro-ecosystem model.
    Nutrient Cycles in Agroecosystems.
12. Salas, W ., Ducey, M. J., Rignot, E., and D.L. Skole, 2002a. Assessment of JERS-1 SAR for Monitoring Secondary Vegetation in
    Amazonia: I. Spatial and Temporal Variability in Backscatter Across a Chrono-sequence of Secondary Vegetation Stands in
    Rondonia. Int. Journal of Remote Sensing, 23(7):1357-1379.
13. Salas, W ., Ducey, M. J., Rignot, E., and D.L. Skole, 2002b. Assessment of JERS-1 SAR for Monitoring Secondary Vegetation in
    Amazonia: II. Spatial, Temporal, and Radiometric Considerations for Operational Monitoring, Int. Journal of Remote Sensing,
    23(7):1381-1399.
14. Li, C., Y. Zhuang, S. Frolking, Z. Dai, X. Wang, P. Crill, W. Song, B. Moore, W. Salas, 2002, Scaling up nitrous oxide emissions
    from agricultural lands in China and the U.S., Global and Planetary Change (in press).
15. Salas, W., 2001, Atmospheric impact of paddy rice agriculture in Asia: Linking Remote Sensing with Crop Growth Models, ALOS
    Conference, Tokyo, JAPAN.
16. Li C, Zhuang YH, Cao MQ, Crill1 PM, Dai ZH, Frolking S, Moore B, Salas W, Song WZ, Wang XK, 2002, Comparing a national
    inventory of N2O emissions from arable lands in China developed with a process-based agro-ecosystem model to the IPCC
    methodology. Nutr. Cycl. Agroecosystems 60:159-175.
17. Hagen, S.C., B.H. Braswell, S. Frolking, W. Salas, and X. Xiao (2002) Determination of sub-pixel fractions of non-forested area in
    the Amazon using multi-resolution satellite data. Journal of Geophysical Research,10.1029/1000JD000255.
18. Zarin, D.J., Ducey, M.J., Tucker, J.M., and W. Salas, 2002, Potential Biomass Accumulation in Amazonian Regrowth Forests,
    Ecosystems , 4:658-668.
19. Xiao, X., He, L., Li, C Salas, W., Moore, B., Zhao, R., Frolking, S., and Boles, S., 2002a, Quantitative relationships between
    field-measured leaf area index and vegetation index derived from VEGETATION images of paddy rice fields, International Journal
    of Remote Sensing, 23(18):3595-3604.
20. Li C, Zhuang YH, Cao MQ, Crill1 PM, Dai ZH, Frolking S, Moore B, Salas W, Song WZ, Wang XK, 2002, Comparing a national
    inventory of N2O emissions from arable lands in China developed with a process-based agro-ecosystem model to the IPCC
    methodology. Nutr. Cycl. Agroecosystems 60:159-175.
21. Xiao, X., Boles, S., Frolking, S., Salas, W., Moore, B., Li, C., He, L. and R. Zhao, 2002b, Observation of flooding and rice
    transplanting of paddy rice fields at the site to landscape scales in China using VEGETATION data, International Journal of
    Remote Sensing, 23(15):3009-3022.
22. Xiao X, JY Liu, DF Zhuang, S Frolking, S Boles, B Xu, ML Liu, B Moore, CS Li and W Salas, 2002c Uncertainties in estimates of
    cropland area in China: A comparison between an AVHRR-derived dataset and a Landsat TM-derived dataset, submitted to Global
    and Planetary Change.

Matt Fearon:

1. Fearon, M.G., T.J. Brown , and J. Koracin. Mixing height forecasts derived from numerical model output. In Prep., Journal of
   Applied Meteorology.
2. Ito, A., C.P.D. Campos, J.E. Penner, M.J. Prather, M. Jung, R.A. Houghton, T. Kato, A.K.Jain, X. Yang, G.C. Hurtt, S. Frolking, M.G.
   Fearon, and A. Wang. In Prep., Tellus.
3. Goward, S.N., L.W. Underwood, M.G. Fearon, R. Fletcher, J. Garvin, G.C. Hurtt, J. Jensen, M. Nolan, K. Holekamp, M. Pagnutti,
   R.E. Ryan, T. Stanley, and W. Swearingen. NASA’s Earth Science Use of Commercially Available Remote Sensing Datasets. In
   Prep., Remote Sensing of the Environment.
4. Hurtt, G.C., S. Frolking, M.G. Fearon, B. Moore III, E. Shevliakova, S. Malyshev, S. Pacala, R.A. Houghton, 2006. Thei
   underpinnings of land-use history: three centuries of global gridded land-use transitions, wood harvest activity, and resulting
   secondary lands. Global Change Biology,12, 1-22.
5. Hurtt, G.C., R. Dubayah, J.B. Drake, P. Moorcroft, S.W. Pacala, J.B. Blair, and M.G. Fearon, 2004. Beyond potential vegetation:
   combining lidar data and a height structured ecosystem model for carbon studies. Ecological Applications,14(3),873-883.
6. Hurtt, G.C., X. Xiao, M. Keller, M. Palace, G.P. Asner, R. Braswell, E.S. Brondizio, M.Cardoso, C.J.R. Carvalho, M.G. Fearon, L.
   Guild, S. Hagen, S. Hetrick, B. Moore III, C. Nobre, J.M. Read, T. Sa, A. Schloss, G. Vourlitis, A.J. Wickel, 2003. IKONOS imagery for
   the Large Scale Biosphere-Atmosphere study in Amazonia (LBA), Remote Sensing of the Environment, 88, 111-127.
7. Smith R.B., Q. Jiang, M.G. Fearon, P. Tabary, M. Dorninger, J.D. Doyle, and R. Benoit, 2003. Orographic precipitation and airmass
   transformation: An alpine example, Quarterly Journal of the Royal Meteorological Society, 129 (588): 433-454 Part B.
8. Fearon, M.G., 2000. The use of nonlocal static stability to determine mixing height from NCEP Eta model output over the Western
   U.S. Master of Science Thesis, University of Nevada, Reno, NV, 155 pp.
9. Li, C., Qiu, J., Frolking, S., Xiao, X., Salas, W., Moore, B., Boles, S., Huang, Y, and Sass, R., 2002, Reduced methane emissions
   from large-scale changes in water management of China's rice paddies during 1980-2000, Geophysical Research Letters , 29(20),
   doi:10.1029/2002GL015370.

Steven Hagen:

1. Palace, M., M. Keller, G. Asner, R. Braswell, and S.C. Hagen. Amazon Forest Structure from IKONOS Satellite Data and the
   Automated Characterization of Forest Canopy Properties, Biotropica, in press.
2. Xiao, X., S.C. Hagen, Q. Zhang, M. Keller, and B. Moore. Detecting leaf phenology of seasonally moist tropical forests in South
   America with mult-temporal MODIS images. Remote Sensing of Environment, 103, 465-473, 2006.
3. Hagen, S.C., B.H. Braswell, E. Linder, S. Frolking, A.D. Richardson, and D.Y. Hollinger. Statistical uncertainty of eddy flux-based
   estimates of gross carbon exchange at Howland Forest, Maine. Journal of Geophysical Research, 10.1029/2005JD006154, 11
   March 2006.
4. Hurtt, G., X. Xiao, M. Keller, M. Fearon, M. Palace, G. Vourlitis, L. Guild, T. Sa, B. Braswell, S. Hagen, M. Cardoso, A. Schloss, B.
   Moore III, and C. Nobre. IKONOS imagery for the Large Scale Biosphere-Atmosphere Study in Amazonia. Remote Sensing of
   Environment, 88, 111-127, 2003.
5. Braswell, B.H., S.C. Hagen, S.E. Frolking, and W.A. Salas. A multivariable approach for mapping sub-pixel land cover distributions
   using MISR and MODIS: Application in the Brazilian Amazon region.Remote Sensing of Environment, 87, 243-256, 2003.
6. Brown, D. and S. Hagen. Data association methods with applications to law enforcement. Decision Support Systems, 34 (4),
   369-378, 2003.
7. Hagen, S.C., B.H. Braswell, S. Frolking, W.A. Salas, and X.Xiao. Determination of sub-pixel fractions of non-forested area in the
   Amazon using multi-resolution satellite data. Journal of Geophysical Research, 10.1029/2000JD000255, 04 September 2002.
8. Lucas, R. M., X. Xiao, S. Hagen, and S. Frolking. Evaluating TERRA-1 MODIS data for discrimination of tropical secondary forest
   regeneration stages in the Brazilian Legal Amazon. Geophysical Research Letters, 29 (8), 42-1 - 42-4, 2002.

Nathan Torbick:

1. Torbick, N., Lawrence, P. Czajkowski, K. 2008. Application and assessment of a GIScience model for wetlands identification. In
   Wetlands and Water Resource Modeling and Assessment: A Watershed Perspective. Higher Education Press p:3-13.
2. Ge, J., J. Qi, B. M. Lofgren, N. Moore, N. Torbick, and J. M. Olson. 2007. Impacts of landuse/cover classification accuracy on
   regional climate simulations. Journal of Geophysical Research -Atmospheres, 112, D05107, doi:10.1029/2006JD007404.
3. Olson, J. M., G. Alagarswamy, J. Andresen, D. J. Campbell, J. Ge, M. Huebner, B. Lofgren, D. P. Lusch, N. Moore, B. C. Pijanowski,
   J. Qi, N. Torbick, J. Wang. 2007. Integrating Diverse Methods to Understand Climate-Land Interactions at Multiple Spatial and
   Temporal Scales,Geoforum.
4. Torbick, N., J. Qi, R. Roloff, and R. J. Stevenson. 2006. Investigating impacts of land use land cover change on wetlands in the
   Muskegon River Watershed, Michigan, USA. Wetlands, 26, 1112-1123.
5. Torbick, N., Qi, J., Lusch, D., Olson, Moore, N., J., Ge. 2006. Developing land use/land cover parameterization for climate-land
   modeling in East Africa. International Journal of Remote Sensing, 27, 4227-4244.
6. Becker, B., Torbick, N., Lusch, D., Qi, J. 2006. Identifying optimal spectral bands from hyperspectral measurements of Great Lakes
   coastal wetlands using principal components analysis and second- derivative analysis. Proceedings at the 26th International
   Geoscience and Remote Sensing Symposium, IEEE, July 2005, Denver, CO
7. Hession, S. Shortridge, A., Torbick, N. 2006. Categorical models for spatial uncertainty. Seventh International Symposium on
   Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. Lisbon, Portugal. July 5-7.
8. Torbick, N., Lawrence, P. Czajkowski, K. 2006. Application and assessment of an expert system for wetlands identification in
   northwest Ohio, USA. Journal of Environmental Monitoring and Restoration, 2, 26-37.
9. Lawrence, P., Czajowski, K. and Torbick, N. 2004. Policy Implications of Remote Sensing in Understanding Urban Environments:
   Developing a Wetlands Inventory for Community Decision- Making in the Maumee Area of Concern, Ohio. In Jensen, R.., Gatrell, J.,
   and McLean, D. eds. Place, Meaning and the Politics of Cities: Alternative Methodologies for Using Geo-Spatial Technologies to
   Understanding Urban Environments. Springer Verlag Press.

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