Dengsheng Lu, Ph.D.

Associate Research Scientist

Anthropological Center for Training and Research on Global Environmental Change (ACT)

Indiana University, Student Building 331

701 E. Kirkwood Ave., Bloomington, Indiana, 47405, USA

Phone: (812) 856 5320 FAX: (812) 855 3000

Email: dlu@indiana.edu

http://www.indiana.edu/~act/files/Dengsheng/index.htm

 Education

 Work Experiences

July 2008 – Present, Associate Research Scientist

       Anthropological Center for Training and Research on Global Environmental Change (ACT), Indiana University, Bloomington, IN 47405

January 2007 – July 2008, Research Fellow

        School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849

May 2006 – Dec. 2006, Associate Research Scientist

       Anthropological Center for Training and Research on Global Environmental Change (ACT), Indiana University, Bloomington, IN 47405

May 2002 – April 2006, Assistant Research Scientist; Jan. 2001 – April 2002, Postdoctoral Research Associate

      Center for the Study of Institutions, Population, and Environmental Change (CIPEC), Indiana University, Bloomington, IN 47405

Aug. 1998–Dec. 200, Teaching Assistant and Research Assistant

       Department of Geography, Geology, and Anthropology, Indiana State University, Terre Haute, IN 47809

Jul. 1989 – Dec. 1997, East China Institute of Forest Inventory and Planning, Ministry of Forestry, China

 Research Projects

• “Amazonian Deforestation and the Structure of Households,” National Institutes of Health /NICHD, 2008- 2013
• “Land Use – Ecosystem – Climate Interactions in Monsoon Asia: Projecting Land-use/cover Impacts on Carbon, Water, and Climate in the First Half of 21th Century,” supported by NASA LULCC Program, 2008 – 2011.

• “Impacts of Urbanization on Carbon and Water Cycles in the Southeastern United States,” Supported by Center for Forest Sustainability, Auburn University, 2008 – 2011.

• “Regional Forest Productivity and Carbon Storage in Southern United States: Roles of Land-use/cover Change, Intensive Management and Disturbances,” supported by AAES, 2008 – 2011.

•  “Effects of Intensive Management on Carbon Sequestration in Pine Forests in the Southeastern United States,” supported by Southern Forest Research Partnership, 2008 – 09.

• "Effects of Multiple Changes in Climate and Atmospheric Composition on Terrestrial Ecosystem Structure and Functioning in the Southeastern United States: A Regional Synthesis with Data-Model   Assimilation," supported by US Department of Energy, NICCR Program, 2006–09.

• “Human and Physical Dimensions of Land Use/Cover Change in Amazonia: Towards Sustainability,” NASA LBA-ECO Project, 2006–09.

• “Role of Urban Canopy Composition and Structure in Determining Heat Islands: A Synthesis of Remote Sensing and Landscape Ecology Approach,” NSF, 2005–08.

• “Human and Physical Dimensions of Land Use/Cover Change in Amazonia: Towards a Multiscale Synthesis,” NASA LBA–ECO Project, 2003–07.

• “Indiana Impervious Surface Mapping Initiative,” Indiana Grant Consortium-NASA/Purdue, 2005–06.

• “Human and Physical Dimensions of Land Use/Cover Change in Amazônia: Forest Regeneration and Landscape Structure. NASA LBA-ECO Project, 1998–2003.

 Recent Publications

  Peer-Reviewed Journal Articles

Lu, D., Tian, H., Zhou, G., and Ge, H., 2008. Regional Mapping of Human Settlements in Southeastern China with Multisensor Remotely Sensed Data. Remote Sensing of Environment, 112(9), 3668-3679.

Lu, D., Ge, H., He, S., Xu, A., Zhou, G., and Du, H., 2008. Pixel-based Minnaert Correction Method for Reducing Topographic Effects on the    Landsat 7 ETM+ Image. Photogrammetric Engineering and Remote Sensing, 74 (11), 1343-1350..

Lu, D., and Weng, Q., in press. Extraction of Urban Impervious Surface from an IKONOS Image, International Journal of Remote Sensing.

Weng, Q., and Lu, D., in press. A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States. International Journal of Applied Earth Observation and Geoinformation.

Weng, Q., Hu, X., and Lu, D., in press. Extracting Impervious Surface from Medium Spatial Resolution Multispectral and Hyperspectral Imagery: A Comparison. International Journal of Remote Sensing.

Weng, Q., Liu, H., Liang, B. and Lu, D., in press. The spatial variations of urban land surface temperatures: pertinent factors, zoning effect, and seasonal variability. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Lu, D., Batistella, M., and Moran, E., 2008. Integration of Landsat TM and SPOT HRG Images for Vegetation Change Detection in the Brazilian Amazon. Photogrammetric Engineering and Remote Sensing, 74(4), 421 - 430.

Lu, D., Batistella, M., Moran, E., and de Miranda, E. E., 2008. A Comparative Study of Landsat TM and SPOT HRG Images for Vegetation Classification in the Brazilian Amazon. Photogrammetric Engineering and Remote Sensing, 74(3), 311-321.

Lu, D., Batistella, M., and Moran, E., 2007. Land Cover Classification in the Brazilian Amazon with the Integration of Landsat ETM+ and RADARSAT Data. International Journal of Remote Sensing, 28(24), 5447 – 5459.

Weng, Q., Liu, H., and Lu, D., 2007. Assessing the Effects of Land Use and Land Cover Patterns on Thermal Conditions Using Landscape Metrics in City of Indianapolis, United States, Urban Ecosystems. 10, 203–219.

Lu, D., 2007. Detection and Substitution of Clouds/Hazes and Their Cast Shadows on IKONOS Images. International Journal of Remote Sensing. 28(18), 4027-4035.

Lu, D., and Weng, Q., 2007. A Survey of Image Classification Methods and Techniques for Improving Classification Performance. International Journal of Remote Sensing. 28(5), 823-870.

Lu, D., Batistella, M., Mausel, P., and Moran, E., 2007. Mapping and Monitoring Land Degradation Risks in the Western Brazilian Amazon Using Multitemporal Landsat TM/ETM+ Images. Land Degradation and Development. 18, 41-54.

Weng, Q., Lu, D., and Liang, B. 2006. Urban Surface Biophysical Descriptors and Land Surface Temperature Variations. Photogrammetric Engineering and Remote Sensing, 72(11), 1275-1286.

Lu, D., and Weng, Q. 2006. Spectral Mixture Analysis of ASTER Images for Examining the Relationship between Urban Thermal Features and Biophysical Descriptors in Indianapolis, United States. Remote Sensing of Environment. 104(2), 157-167.

Lu, D., Weng, Q., and Li, G. 2006. Residential Population Estimation Using a Remote Sensing Derived Impervious Surface Approach. International Journal of Remote Sensing. 27(16), 3553-3570.

Lu, D., and Weng, Q. 2006. Use of Impervious Surface in Urban Land Use Classification. Remote Sensing of Environment. 102 (1-2), 146-160.

Lu, D. 2006. The Potential and Challenge of Remote Sensing–Based Biomass Estimation. International Journal of Remote Sensing, 27(7), 1297-1328.

Lu, D., and Weng, Q. 2005. Urban Classification Using Full Spectral Information of Landsat ETM+ Imagery in Marion County, Indiana.  Photogrammetric Engineering and Remote Sensing, 71(11), 1275–1284.

Lu, D., and Batistella, M. 2005. Exploring TM Image Texture and Its Relationships with Biomass Estimation in Rondônia, Brazilian Amazon. Acta Amazônica, 35(2), 249–257.

Lu, D., Batistella, M., and Moran, E. 2005. Satellite Estimation of Aboveground Biomass and Impacts of Forest Stand Structure. Photogrammetric Engineering and Remote Sensing, 71(8), 967–974.

Lu, D. 2005. Aboveground Biomass Estimation Using Landsat TM Data in the Brazilian Amazon. International Journal of Remote Sensing, 26(12), 2509–2525.

Lu, D. 2005. Integration of Vegetation Inventory Data and Landsat TM Image for Vegetation Classification in the Western Brazilian Amazon. Forest Ecology and Management, 213(1-3), 369–383.

Lu, D., Mausel, P., Batistella, M., and Moran, E. 2005. Land-Cover Binary Change Detection Methods for Use in the Moist Tropical Region of the Amazon: A Comparative Study. International Journal of Remote Sensing, 26(1), 101–114.

Lu. D., and Weng, Q. 2004. Spectral Mixture Analysis of the Urban Landscapes in Indianapolis with Landsat ETM+ Imagery. Photogrammetric Engineering and Remote Sensing, 70(9), 1053–1062.

Lu, D., Batistella, M., Moran, E., and Mausel, P. 2004. Application of Spectral Mixture Analysis to Amazonian Land-Use and Land-Cover Classification. International Journal of Remote Sensing, 25(23), 5345–5358.

Lu, D., Batistella, M., and Moran, E. 2004. Multitemporal Spectral Mixture Analysis for Amazonian Land-Cover Change Detection. Canadian Journal of Remote Sensing, 30(1), 87–100.

Lu, D., Li, G., Valladares, G. S., and Batistella, M. 2004. Mapping Soil Erosion Risk in Rondônia, Brazilian Amazonia: Using RUSLE, Remote Sensing and GIS. Land Degradation and Development, 15(5), 499–512.

Lu, D., Mausel, P., Batistella, M., and Moran, E. 2004. Comparison of Land-Cover Classification Methods in the Brazilian Amazon Basin. Photogrammetric Engineering and Remote Sensing, 70(6), 723–731.

Lu, D., Mausel, P., Brondízio, E., and Moran, E. 2004. Change Detection Techniques. International Journal of Remote Sensing, 25(12), 2365–2407.

Lu, D., Mausel, P., Brondízio, E., and Moran, E. 2004. Relationships between Forest Stand Parameters and Landsat Thematic Mapper Spectral Responses in the Brazilian Amazon Basin. Forest Ecology and Management, 198 (1-3), 149-167.

Weng, Q., Lu, D., and Schubring, J. 2004. Estimation of Land Surface Temperature–Vegetation Abundance Relationship for Urban Heat Island Studies. Remote Sensing of Environment, 89(4), 467–483.

Lu, D., Mausel, P., Brondízio, E., and Moran, E. 2003. Classification of Successional Forest Stages in the Brazilian Amazon Basin. Forest Ecology and Management, 181(3), 301–312.

Lu, D., Moran, E., and Batistella, M. 2003. Linear Mixture Model Applied to Amazonian Vegetation Classification. Remote Sensing of Environment, 87(4), 456–469.

Lu, D., and You, X. 2003. Application Status and Tendency of Remote Sensing Technology in Resource and Ecology (in Chinese). Journal of Beijing Forestry University, 25, 83–88.

Lu, D., Mausel, P., Brondízio, E., and Moran, E., 2002. Assessment of Atmospheric Correction Methods for Landsat TM Data Applicable to Amazon Basin LBA Research. International Journal of Remote Sensing, 23 (13), 2651–2671.

Lu, D., Moran, E., and Mausel, P. 2002. Linking Amazonian Secondary Succession Forest Growth to Soil Properties. Land Degradation and Development, 13(4), 331–343.

 Peer-Reviewed Book Chapters

Lu, D., and Weng, Q., 2007. Mapping Urban Impervious Surfaces from Medium and High Spatial Resolution Multispectral Imagery, In: Remote Sensing of Impervious Surfaces, ed. Q. Weng, CRC Press/Taylor and Francis, pp.59-73.

Liang, B., Weng, Q., and Lu, D., 2007. Census-based Multiple Scale Residential Population Modeling with Impervious Surface, In: Remote Sensing of Impervious Surfaces, ed. Q. Weng, CRC Press/Taylor and Francis, pp.409-430.

Weng, Q., Hu, X., and Lu, D., 2007. Extracting Impervious Surface from Hyperspectral Imagery with Linear Spectral Mixture Analysis. In: Remote Sensing of Impervious Surfaces, ed. Q. Weng, CRC Press/Taylor and Francis, pp.93 – 118.

Weng, Q., and Lu, D., 2006. Subpixel Analysis of Urban Landscape. In: Urban Remote Sensing, ed. Q. Weng and D.A. Quattrochi, CRC Press/Taylor and Francis, pp.71-90.

Mausel, P., Lu, D., and Dias, N. 2006. Remote Sensing of Amazon Deforestation and Vegetation Regrowth (Succession): Inputs to Climate Change Research. In: The Global Climate System: Pattern, Process and Teleconnections, ed. Howard Bridgman and John Oliver. New York: Cambridge University Press, pp.79-89.

Lu, D., Moran, E., Mausel, P., and Brondízio, E. 2005. Comparison of Aboveground Biomass Across Amazon Sites, In: Seeing the Forest and the Trees: Human-Environment Interactions in Forest Ecosystems, ed. E. Moran and E. Ostrom, Cambridge, Mass.: MIT Press, pp. 279–301.

Lu, D., Mausel, P., Brondízio, E., and Moran, E. 2002. Aboveground Biomass Estimation of Successional and Mature Forests Using TM Images in the Amazon Basin. In: Advances in Spatial Data Handling, ed. D. Richardson and P. van Oosterom, New York: Springer-Verlag, pp. 183–196.

Professional Services

Article Reviewer for Journals

• Remote Sensing of Environment

• Photogrammetric Engineering and Remote Sensing

• International Journal of Remote Sensing

• IEEE Geoscience and Remote Sensing Letters

• ISPRS Journal of Photogrammetry and Remote Sensing

• Geocarto International

• Land Degradation and Development

• Forest Ecology and Management

• Asian Geographer

• Ecology and Society

• Biotropica

• Landscape Ecology

• Environmental Management

• Ecological Informatics

• International Journal of Applied Earth Observation and Geoinformation
• Computers and Geosciences
• Journal of Geophysical Research - Biogeosciences

   

   Proposal Reviewer

• NSF Geography and Regional Science

• International Foundation for Science

• National Geographic Society's Committee for Research and Exploration, USA

• Geomorphology and Land-Use Dynamics Program (GLD) in the National Science Foundation (NSF), USA

• Research Grants Council of Hong Kong

• Areas of Excellence (AoE) Scheme established under the University Grants Committee (UGC) of Hong Kong

• NASA earth and space science fellowship

Panel Member: 2007 NASA Carbon Cycle and Ecosystems (CC&E) Focus Area: NASA Earth and Space Science Fellowship (NESSF) Program.

Recent Major Collaborators

• Emilio Moran, Eduardo Brondízio: Indiana University

• Mateus Batistella, Embrapa Satellite Monitoring, Brazil

• Paul Mausel, Qihao Weng: Indiana State University    

• Hanqin Tian: Auburn University

• Hongli Ge: Zhejiang Forestry University, China