彭漪 （武汉大学遥感信息工程学院副教授）

正文

教育经历

2002 – 2006，武汉大学，遥感信息工程学院，学士

2006 – 2008，武汉大学，遥感信息工程学院，硕士

2008 – 2012，美国内布拉斯加大学，自然资源环境学院，博士

工作经历

2012 – 2013，美国马里兰大学，地理科学系，初级研究员（博士后）

2013 – 至今，武汉大学，遥感信息工程学院，副教授

研究方向

定量环境遥感：基于高光谱的近景及卫星遥感数据，反演植被及水环境生态系统的各类典型生化参数，以达到生态环境监测的目的。

主持及参与项目

美国NASA资助项目：农作物初级生产力的遥感估测模型研究，2008 - 2012

美国NASA资助项目：湿地森林生长变化的遥感监测模型研究，2012 – 2013

国家青年自然基金资助项目：适应光照环境变化的多种农作物的GPP遥感估测模型研究，2014 – 至今

发表主要论文

[1] Nguy-Robertson, A.L., Peng, Y., Gitelson, A.A.,Arkebauer, T.,Scoby, D., & Schepers, J. (2015). Using a simple leaf color chart to estimate leaf and canopy chlorophyll a content in maize (Zea mays).Communications in Soil Science and Plant Analysis, In press.

[2] Gitelson, A.A., Peng, Y., T.J. Arkebauer, A.E. Suyker. (2015). Productivity, absorbed photosynthetically active radiation, and light use efficiency in crops: Implications for remote sensing of crop primary production,Journal of Plant Physiology, 177, 100-109.

[3] Gitelson, A. A., Peng, Y., K. F. Huemmrich. (2014). Relationship between fraction of radiation absorbed by photosynthesizing maize and soybean canopies and NDVI from remotely sensed data taken at close range and from MODIS 250 m resolution data.Remote Sensing of Environment, 147: 108–120.

[4] Gitelson, A.A., Peng, Y., Schepers, J. & Arkebauer, T. (2014).Relationships between gross primary production, green LAI, and canopy chlorophyll content: Implications for remote sensing of primary production.Remote Sensing of Environment, 144, 65-72.

[5] Huang, C., Peng, Y., Lang, M. & Yeo, I.Y. (2014). Wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data.Remote Sensing of Environment, 141, 231-242.

[6] Nguy-Robertson, A.L., Peng, Y., Gitelson, A.A., Arkebauer, T.J., Pimstein, A., Herrmann, I., Karnieli, A., Rundquist, D.C. & Bonfil, D.J. (2014). Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm.Agricultural and Forest Meteorology, 192-193: 140-148.

[7] Peng, Y. Sakamoto, T., & Gitelson, A.A. (2013). Remote estimation of gross primary productivity in crops using MODIS 250 m data.Remote Sensing of Environment,128, 186-196.

[8] Gitelson, A.A., Peng, Y., Masek, J., Verma, S.B., Suyer, A., Baker, J.M., Hatfield, J.L. & Meyers, T. (2013). Remote estimation of gross primary productivity in crops with Landsat data.Remote Sensing of Environment, 121, 404-414.

[9] Nguy-Robertson, A., Gitelson,A.A., Peng, Y., Walter-Shea, E., Leavitt, B., & T. Arkebauer. (2013). Continuous Monitoring of Crop Reflectance, Vegetation Fraction, and Identification of Developmental Stages Using a Four Band Radiometer,Agronomy Journal, 105: 1769–1779.

[10] Schlemmer, M., Gitelson, A.A., Schepers, J., Ferguson R., Peng Y., Shanahan, J., Rundquist, D.C. (2013). Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels,International Journal of Applied Earth Observation and Geoinformation,25: 47–54.

[11] Peng, Y. & Gitelson, A.A. (2012). Remote estimation of gross primary productivity in soybean and maize based on total crop chlorophyll content. Remote Sensing of Environment, 117, 440-448.

[12] Nguy-Robertson, A.L., Gitelson, A.A., Peng, Y., Vina, A., Arkebauer, T. & Rundquist, D. (2012). Combining vegetation indices to increase their sensitivity to green leaf area index of crops along its entire dynamic range.Agronomy Journal, 104, 5, 1336 – 1347.

[13] Peng, Y. & Gitelson, A.A.(2011). Application of chlorophyll-related vegetation indices for remote estimation of maize productivity.Agricultural and Forest Meteorology,151, 1267 – 1276.

[14] Peng, Y., Gitelson, A.A., Keydan, G., Rundquist, D.C. & Moses, W. (2011). Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content.Remote Sensing of Environment, 115, 978-989.

[15] Vina, A., Gitelson, A.A., Nguy-Robertson, A.L. & Peng, Y. (2011). Comparison of different vegetation indices for the remote assessment of green leaf area index of crops.Remote Sensing of Environment, 115, 3468 – 3478.