研究员 研究员

最小化 最大化
 
        黄成全，美国马里兰大学地理系，研究教授，数字山地与遥感应用中心特聘研究员。
♦ 学习经历
        1994/09-1999/11，美国马里兰大学，地理系，地理学(遥感方向)，博士；
        1989/09-1992/07，北京大学，环境科学，硕士；
        1985/09-1989/07，北京大学，地质学，学士。
♦ 工作经历
        2011/10-至今，中国科学院成都山地灾害与环境研究所，特聘研究员；
        2004/12-至今，美国马里兰大学，研究教授；
        2003/11 – 2004/11，美国雷神公司，首席工程师；
        2000/02 – 2003/10，USGS EROS数据中心(EDC)，资深科学家；
        1999/12 – 2000/01，美国马里兰大学，研究助理。
♦ 代表性论文
        Huang, C., Peng, Y., Lang, M., Yeo, I.-Y. & McCarty, G. (2014). Wetland Inundation Mapping and Change Monitoring Using Landsat and Airborne LiDAR Data. Remote Sensing of Environment, 141, 231-242.
        Song, X.-P., Huang, C., Sexton, J., Channan, S., & Townshend, J. (2014). Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover. Remote Sensing, 6, 8878-8903
        Chen, G., Tian, H., Huang, C., Prior, S.A. & Pan, S. (2013). Integrating a process-based ecosystem model with Landsat imagery to assess impacts of forest disturbance on terrestrial carbon dynamics: Case studies in Alabama and Mississippi. Journal of Geophysical Research: Biogeosciences, 118, 1208-1224.
        Feng, M., Sexton, J.O., Huang, C., Masek, J.G., Vermote, E.F., Gao, F., Narasimhan, R., Channan, S., Wolfe, R.E. & Townshend, J.R. (2013). A Global Land Survey surface reflectance product: assessment using coincident MODIS observations. Remote Sensing of Environment, 134, 276-293.
        Gutman, G., Huang, C., Chander, G., Noojipady, P. & Masek, J. (2013). Assessment of the NASA-USGS Global Land Survey (GLS) Datasets. Remote Sensing of Environment, 134, 249-265.
        Schleeweis, K., Goward, S.N., Huang, C., Masek, J.G., Moisen, G., Kennedy, R.E. & Thomas, N.E. (2013). Regional dynamics of forest canopy change and underlying causal processes in the contiguous U.S. Journal of Geophysical Research: Biogeosciences, 118, 1-19.
        Song, X.-P., Huang, C., Feng, M., Sextona, J.O., Channan, S. & Townshend, J.R.G. (2013). Integrating global land cover products for improved forest cover characterization: an application in North America. International Journal of Digital Earth, DOI: 10.1080/17538947.2013.856959, 1-29.
        Yeo, I.-Y. & Huang, C. (2013). Revisiting the forest transition theory with historical records and geospatial data: a case study from Mississippi (USA). Land Use Policy, 32, 1-13.
        Yeo, I.-Y. & Huang, C. (2013). Forest dynamics in Mississippi, USA: a hybrid statistical and geospatial analysis. Regional Environmental Change, 13:1-17.
        Feng, M., Huang, C., Channan, S., Vermote, E.F., Masek, J.G. & Townshend, J.R. (2012). Quality assessment of Landsat surface reflectance products using MODIS data. Computers & Geosciences, 38, 9-22.
        Li, A., Liang, S., Wang, A. & Huang, C. (2012). Investigating the impacts of the North Atlantic Oscillation on global vegetation changes by a remotely sensed vegetation index. International Journal of Remote Sensing, 33, 7222-7239.
        Li, A., Bian, J., Lei, G. & Huang, C. (2012). Estimating the Maximal Light Use Efficiency for Different Vegetation through the CASA Model Combined with Time-Series Remote Sensing Data and Ground Measurements. Remote Sensing, 4, 3857-3876.
        Townshend, J.R., Masek, J.G., Huang, C., Vermote, E.F., Gao, F., Channan, S., Sexton, J.O., Feng, M., Narasimhan, R., Kim, D., Song, K., Song, D., Song, X.-P., Noojipady, P., Tan, B., Hansen, M.C., Li, M., & Wolfe, R.E. (2012). Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges. International Journal of Digital Earth, 5, 373-397
♦ 专著
        Huang, C. & Song, K. (2012). Forest Cover Change Detection Using Support Vector Machines. In: C.P. Giri (Ed.), Remote Sensing of Land Use and Land Cover: Principles and Applications (pp. 191-206), London: Taylor & Francis.
        Huang, C., Schleeweis, K., Thomas, N. & Goward, S.N. (2011). Forest dynamics within and around the Olympic National Park assessed using time series Landsat observations. In: Y. Wang (Ed.), Remote Sensing of Protected Lands, (pp. 75-93), London: Taylor & Francis.
        Huang, C. (2011). Forest change analysis using time series Landsat observations. In: Q. Weng (Ed.), Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications (pp. 339-365), New York: CRC Press.
        Huang, C., Homer, C. & Yang, L. (2003). Regional forest land cover characterization using medium spatial resolution satellite data. In: M. Wulder & S. Franklin (Eds.), Methods and Applications for Remote Sensing of Forests: Concepts and Case Studies (pp. 389-410), Boston: Kluwer Academic Publishers. 
♦ 在研项目
        Huang, C. (PI), 2014-2017: Role of Forest Disturbance and Regrowth in the US Carbon Budget, Funding agency: NASA.
        Huang, C. (PI), 2014-2017: Assessment of Industrial Forests over North America: Disturbances, Biomass Extraction, and Growth Vigor, Funding agency: NASA.
        Huang, C. (PI), 2014-2017: A Historically Consistent and Broadly Applicable MRV System Based on Lidar Sampling and Landsat Time-series, Funding agency: USDA Forest Service.
        Huang, C. (PI), 2013-2015: Assessment of the Carbon Consequences of Land Management in the Greater Yellowstone Region, Funding agency: USGS.
        Huang, C. (PI), 2013-2014: NPP/VIIRS Land Product Validation Research and Algorithm Refinement: Science and Management Support for NPP VIIRS Surface Type EDR, Funding agency: NOAA.
        Huang, C. (PI), 2011-2014: Using Landsat Global Land Survey Data to Measure and Monitor Worldwide Urbanization, Funding agency: NASA.
♦ E-mail: cqhuang@umd.edu