Peng Gong

Professor, Director CAMFER
Ph.D.  Geography    University of Waterloo, Waterloo, Canada, 1990
B.Sc   Geography    Nanjing University, Nanjing, China, 1984

204 Mulford Hall
Berkeley, California 94720
gong@nature.berkeley.edu
office: 510-642-5170   lab: 510-642-5170   fax:  510-643-5098

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My research is on the use of remote sensing and geographic information systems (GIS) technology to monitor and map natural resources and human settlements. Computer based pattern recognition, statistical analysis, mathematical modeling are studied for the extraction of information from imagery data acquired by sensors in the field or on board of aircraft and satellites. My goal is to develop effective and efficient methods that provide spatial information or spatial evidence to scientists, policy makers and decision makers. Such information can be used to better understand environmental changes, to make better policies for environmental protection, and to form wiser decisions on the use of our resourcesfor sustainable development of human society.

My specific interests include computer recognition of forest species based on both morphological and spectral information in remotely sensed data; estimating biophysical and biochemical parameters from forest lands through processing and analysis of hyperspectral and high spatial resolution data; land-cover and land-use classification and change detection at various spatial scales; forest fire mapping with AVHRR data and fire emission estimation; lidar data analysis for natural resources measurement; environmental measurements and infectious disease (schistosomiasis and malaria) transmission modeling with GIS and remote sensing.

1. We propose a research field called, Photo-Ecometrics, the science and technology using digital image analysis and spectral analysis for precise ecological measurements. We focus on forest inventory, crown reconstruction, biophysical and biochemical data and species recognition. Projects are funded by NASA, USDA and the NSF of China.

2. Use of GIS and remote sensing for schistosomiasis control in China with support from NIH, Ministry of Science and Technology and NSF of China.

3. Invasive weed mapping in Utah and Southern California with support from NSF and USGS.

4. Ecosystem modeling for carbon balance estimation over large areas using hyperspectral and lidar remote sensing. Global change monitoring.

5. Wetland species mapping, growth modeling, grazing interference modeling and associated snail density estimation using field survey and remotely sensed data.

6. Students and postdocs in my group can choose to develop their own projects with my assistance or participate in many aspects of remote sensing and GIS ranging from instrument design and test to purely theoretical analysis of spatial data for resource management and global change studies.

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Miao X., P. Gong, Sarah Swope, Ruiliang Pu, Raymond Carruthers, Gerald L. Anderson, Jill S. Heaton and C. R. Tracy, 2006. Estimation of yellow starthistle abundance through CASI-2 hyperspectral imagery using linear spectral mixture model, Remote Sensing of Environment, 101:329-341.

Xu, B., P. Gong, E. Seto, S Liang, C. Yang, S. Wen, D. Qiu, X.G. Gu and R. Spear, 2006. A spatial-temporal model for assessing the effects of inter-village connectivity in schistosomiasis transmission, Annals of AAG. 96(1):31-36.

Gong, P., R. Pu, Z.Q. Li, J. Scarborough, N. Clinton, Lisa Levien, 2006. An integrated approach to burned area mapping in California with NOAA AVHRR data, Photogrammetric Engineering and Remote Sensing. 72(2):139-150.

Li. Y., P. Gong, 2005. An efficient texture image segmentation algorithm based on the GMRF model for classification of remotely sensed imagery, International Journal of Remote Sensing, 26(22):5149-5159.Sedano F., P. Gong, M. Ferrao, 2005. Land cover assessment with MODIS imagery in Southern African Miombo ecosystems, Remote Sensing of Environment. 98(4):429-441.

Pu, R., P. Gong, Z.Q. Li, J. Scarborough, 2004. A dynamic algorithm for wild land burned scar detection using NOAA AVHRR data, International Journal of Wildland Fire. 13:275-285.

Gong, P., X. Miao, S. Ge, K. Tate, C. F. Battaglia, G.S. Biging, 2004. Water table level in relation to EO-1 ALI and Landsat ETM+ data over a mountainous meadow in California, Canadian Journal Remote Sensing. 32(5):691-696.

Xu B., P. Gong, G.S. Biging, S. Liang, E. Seto, B. Spear, 2004. Snail density prediction for schistosomiasis control using IKONOS and ASTER images. Photogrammetric Engineering and Remote Sensing. 70(11): 1285-1294.

Pu, R., P. Gong, 2004. Wavelet transform applied to EO-1 Hyperion data for forest LAI and crown closure mapping, Remote Sensing of Environment. 91:212-224.

Pu, R., P. Gong, 2004. Prediction of burn scars using logistic regression and neural networks from a single date post fire Landsat 7 image, Photogrammetric Engineering and Remote Sensing. 70(7): 841-850.

Tian, Y., J.R. Radke, P. Gong, Qian Yu, 2004. Spatially allocating PM2.5 emissions from residential wood burning in California, Atmospheric Environment. 38:833-843.

Guo, Y., R. Amundson, P. Gong, and R. Ahrens, 2003. Taxonomic structure, spatial distribution and relative abundance of the soils in the United States. Soil Science Society of America Journal. 67:1507-1516.

Gong, P., R. Pu, G.S. Biging, M. Larrieu, 2003. Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing. 41(6): 1355-1362.

Xu, B., P. Gong, R. Spear and E. Seto, 2003. Comparison of different gray level reduction schemes for a revised texture spectrum method for land-use classification using IKONOS imagery, PE&RS. 69(5):529-536.

Xu, B., P. Gong, R. Pu, 2003. Crown closure estimation of oak savannah in a dry season with Landsat TM imagery: Comparison of Various Indices through Correlation Analysis, IJRS. 24(9):1811-1822.

Chen, J., P. Gong, C. He, R. Pu, P. Shi, 2003. Land use/cover change detection using improved change vector analysis, PR&RS. 69(4):369-379.

Gong, P., S. Mahler, G.S. Biging, and D. Newburn, 2003. Vineyard identification in an oak woodland landscape with airborne digital camera imagery, International Journal of Remote Sensing. 24(6):1303-1315.

Sheng, Y., P. Gong, G.S. Biging, 2003. Model-based conifer canopy surface reconstruction from photographic imagery: from single tree to a forest stand, PR&RS. 69(3):249-258.

Gong, P., Y. Sheng, G.S. Biging, 2002. 3D model-based tree measurement from high resolution aerial imagery, PE&RS, 68(11): 1203-1212.

Gong, P., X. Mei, G.S. Biging Z. Zhang, 2002. Improvement of oak canopy model extracted from digital photogrammetry. PE&RS. 68(9): 919-924.