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Publications and Presentations

William Salas | Bobby Braswell | Stephen Hagen | Nathan Torbick

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.
Bobby Braswell | Top

Selected Recent Publications

  1. Espírito‐Santo, F.D.B., M. Keller, B. Braswell, B.W. Nelson, S. Frolking, and G. Vicente, Storm intensity and old‐growth forest disturbances in the Amazon region, Geophysical Research Letters, 37:L11403, 2010.
  2. Richardson, A.D., B.H. Braswell, D. Hollinger, J. Jenkins, S.V. Ollinger. Near-surface remote sensing of spatial and temporal variation in canopy phenology. Submitted to Agricultural and Forest Meteorology, 19:1417-1428, 2009.
  3. Arnone, J.A., P.S.J. Verburg, D.W. Johnson, J.D. Larsen, R.L. Jasoni, A.J. Lucchesi, C.M. Batts, C. von Nagy, W.G. Coulombe, D.E. Schorran, P.E. Buck, B.H. Braswell, J.S. Coleman, R.A. Sherry, L.L. Wallace, Y. Luo, D.S. Schimel. Future CO2 uptake suppressed by synchronous and lagged ecosystem responses to an extreme year. Nature, 455:383-386, 2008.
  4. Anderson, J.E., L. Plourde, M.E. Martin, B.H. Braswell, M.-L. Smith, R. Dubayah, M. Hofton, and J.B. Blair. Integrating waveform LIDAR with hyperspectral imagery for inventory of a northern temperate forest. Remote Sensing of Environment, 112:1856-1870, 2008.
  5. Burakowski, E.A., C.P. Wake, B.H. Braswell, D.P. Brown. Trends in Wintertime Climate in the Northeast United States, 1965-2005. Journal of Geophysical Research, 113, D20114, doi:10.1029/2008JD009870, 2008.
  6. Palace, M., M. Keller, G.P. Asner, S.C. Hagen, and B.H. Braswell. An analysis of Amazonian forest structure using an automated tree crown detection algorithm and IKONOS imagery. Biotropica, 40:141-150, 2008.
  7. Richardson, A.D., M.D. Mahecha, E. Falge, J. Kattge, A.M. Moffat, D. Papale, M. Reichstein, V.J. Stauch. B.H. Braswell, G. Churkina, B. Kruijt, D.Y. Hollinger. Statistical properties of random CO2 flux measurement uncertainty inferred from model residuals. Agricultural and Forest Meteorology, 148:38-50, 2008.
  8. Moffat, A.M., D. Papale, M. Reichstein, A.G. Barr, B.H. Braswell, G. Churkina, A.R. Desai, E. Falge, J.H. Gove, M. Heimann, D.Y. Hollinger, D. Hui, A.J. Jarvis, J. Kattge, A. Noormets, A.D. Richardson, V.J. Stauch. Comprehensive comparison of gap filling techniques for net carbon fluxes. Agricultural and Forest Meteorology, 147:209-232, 2007.
  9. Jenkins, J.P., A.D. Richardson, B.H. Braswell, S.V. Ollinger, D.Y. Hollinger, and M.-L. Smith. Refining light-use efficiency calculations for a deciduous forest canopy using simultaneous tower-based carbon flux and radiometric measurements. Agricultural and Forest Meteorology, 143:64-79, 2007.
  10. Richardson, A.D., D.Y. Hollinger, J.D. Aber, S.V. Ollinger, and B.H. Braswell. Environmental variation is directly responsible for short- but not long-term variation in forest-atmosphere carbon exchange. Global Change Biology, 13:788-803, doi: 10.1111/j.1365-2486.2007.01330.x, 2007.
  11. Richardson, A.D., J.P. Jenkins, B.H. Braswell, D.Y. Hollinger, S.V. Ollinger, and M.-L. Smith. Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia, doi10.1007/s00442-006-0657-z, 2007.
  12. Hagen, S.C., B.H. Braswell, S. Frolking, A. Richardon, D. Hollinger and E. Linder. Statistical uncertainty of eddy flux based estimates of gross ecosystem carbon exchange at Howland Forest, Maine. Journal of Geophysical Research, 111, doi10.1029/2005JD006154, 2006.
  13. Richardson, A.D., B.H. Braswell, D.Y. Hollinger, P. Burman, E.A. Davidson, R.S. Evans, L.B. Flanagan, J.W. Munger, K. Savage, S.P. Urbanski, and S.C. Wofsy. Comparing simple respiration models for eddy flux and dynamic chamber data. Agricultural and Forest Meteorology, 141:219-234, 2006.
  14. Tiwari, Y.K., M. Gloor, R.J. Engelen, F. Chevallier, C. Roedenbeck, S. Koerner, P. Peylin, B.H. Braswell, and M. Heimann. Comparing CO2 retrieved from AIRS on the Aqua satellite with model predictions: implications for constraining surface fluxes and lower-to-upper troposphere transport. Journal of Geophysical Research (Atmospheres), 11, D17106, doi: 10.1029/2005JD006681, 2006.
  15. Zhang, Q., X. Xiao, B.H. Braswell, E. Linder, S. Ollinger, M. -L. Smith, J.P. Jenkins, F. Baret, A.D. Richardson, B. Moore III. Characterization of seasonal variation of forest canopy in a temperate deciduous broadleaf forest, using daily MODIS data. Remote Sensing of Environment, 105:189-203, 2006.
  16. Braswell, B.H., B. Sacks, E. Linder, and D.S. Schimel. Estimating ecosystem process parameters by assimilation of eddy flux observations of NEE. Global Change Biology, 11:335-355, 2005.
  17. Churkina, G., D.S. Schimel, B.H. Braswell, and X. Xiao. Spatial analysis of growing season length controls on net ecosystem carbon exchange. Global Change Biology, 11:1777-1787. 2005.
  18. Diner, D.J., B.H. Braswell, R. Davies, N. Gobron, J. Hu, Y. Jin, R.A. Kahn, Y. Knyazikhin, N. Loeb, J.-P. Muller, A.W. Nolin, B. Pinty, C.B. Schaaf, G. Seiz, and J. Stroeve. The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces. Remote Sensing of Environment, 97:495-518. 2005.
  19. Holland, E.A., B.H. Braswell, J. Sulzman, and J.-F. Lamarque. Nitrogen deposition onto the United States and Western Europe: A synthesis of observations and models. Ecological Applications, 15:38-57, 2005.
  20. Sacks, W.J., D.S. Schimel, R.K. Monson, and B.H. Braswell. Model-data synthesis of diurnal and seasonal CO2 fluxes at Niwot Ridge, Colorado. Global Change Biology, 12:240-259, 2005.
  21. Zhang, Q., X. Xiao, B.H. Braswell, E. Linder, J. Aber, and B. Moore III. Estimating seasonal dynamics of biophysical and biochemical parameters in a deciduous forest using MODIS data and a radiative transfer model. Remote Sensing of Environment, 99:357-371, 2005.
  22. Frolking, S., C. Li, B.H. Braswell, and J. Fuglestvedt. Short and long term greenhouse gas and radiative forcing impacts of changing water management in Asian rice paddies. Global Change Biology, 10:1180-1196, 2004.
  23. Keller, M.A. Alencar, G.P. Asner, B.H. Braswell, M. Bustamante, E. Davidson, T. Feldpausch, E. Fernandes, M. Goulden, P. Kabat, B. Kruijt, F. Luizão, S. Miller, D. Markewitz, A. Nobre, C. Nobre, N. Priante, H. Rocha, P. Silva Dias, C. von Randow, G. Vourlitis. Ecological research in the Large Scale Biosphere Atmosphere Experiment in Amazonia (LBA): A discussion of early results. Ecological Applications, 14:S3-S16, 2004.
  24. Xiao, X., Q. Zhang, B.H. Braswell, S. Urbanski, S. Boles, S. Wofsy, B. Moore III, and D. Ojima. Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sensing of Environment, 91:256-270, 2004.
  25. 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: An application in the Brazilian Amazon. Remote Sensing of Environment, 87:243-256, 2003.
Stephen Hagen | Top
  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. 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.
  7. 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 | Top
  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.