Profile of Associate Professor Chen La

Name: Chen La 

Title: Associate Professor 

Office Phone: 0791-83979001

Email: chenla11@qq.com

1. Introduction

Basic Information:

Chen La, male, Ph.D in agricultural remote sensing and information technology, currently serves as an associate professor at the Institute of Ecological Civilization, Jiangxi University of Finance and Economics.

Research Directions: Land Management, 3S Technology Application

Education Experience:

2004-2007 Ph.D. Zhejiang University

1994-1997 M.A. South China University of Tropical Agriculture

1987-1991 B.A. Shihezi Agricultural College

Work Experience:

2019(07)-Present Associate Professor, Institute of Ecological Civilization, Jiangxi University of Finance and Economics

2018(01)-2019(1) Visiting Researcher, Center for Behavior, Institutions and the Environment, School of Sustainability, Arizona State University, USA

2013(07)-2019(07) Associate Professor, Director of Laboratory of Land-use and Eco-security, Institute of Ecological Economics, Jiangxi University of Finance and Economics

2007(07)-2013(07) Lecturer, School of Tourism and Urban Management, Jiangxi University of Finance and Economics

2002(06)-2003(04) Visiting Researcher, Department of the Environment, Hyogo Prefectural Technology Center for Agriculture, Forestry and Fisheries, Japan

1997(07)–2002(06) Assistant Researcher, Hainan Provincial Academy of Agricultural Sciences, Hainan, China

1991(07) -1994(06) Assistant Agronomist, Seed Management Station of Shufu County, Xinjiang Uyghur Autonomous, China

2. Teaching Experience

Courses Taught:

Urban Geographic Information System, Remote Sensing Technology and Application, Landscape Ecology, Computer Image Processing, Special Topic on Agricultural Modernization, Methods and Practices of Investigation on Agricultural Resources, Economics of Sustainable Development, Frontiers of Sustainable Development, Gis and Spatial Economics, English Literature Reading and Writing on Resource Economics, Land Resources and Ecological Remote Sensing

3. Research Achievements

Projects: 

2011.01-2015.12, National Natural Science Foundation of China (Grant No. 41161064), Uncertainties and error propagation in extraction of rice growing area by remote sensing 

2010.01-2013.12, Project of the Education Department of Jiangxi Province, China( Grant No. GJJ09300), Estimation of rice yield by coupling remote sensing data and crop growth model

2017.01-2020.12, National Natural Science Foundation of China (Grant No. 71663025), Study on spatial pattern and driving mechanism of grain production in the Great Lakes region

2016.01-2019.12, National Natural Science Foundation of China (Grant No. 41561049), Study on spatial and temporal variability of soil organic matter carbon during alternation of wetting and drying in Poyang Lake wetland 

2014.01-2017.12, National Natural Science Foundation of China (Grant No. 41001376), Study on water environment and its optimization model based on landscape pattern evolution in typical Poyang Lake Basin 

2013.01-2016.12, National Natural Science Foundation of China (Grant No. 41261110), Study on regional ecological compensation standard and spatial selection based on ecosystem service function value-take Poyang Lake Ecological Economic Zone as an example

2013.01-2016.12, National Natural Science Foundation of China (Grant No. 41261029), Study on the characteristics, effects and formation mechanism of urban recreation space image under the background of national leisure

2011.01-2014.12, National Natural Science Foundation of China (Grant No. 41001376), Study on optimization of construction space of urban and rural and change of land use in Poyang Lake region in Transition Period

2009.01-2011.12, National Natural Science Foundation of China (Grant No. 40801106), Study on simulation of land use ecological security pattern based on Binding Cellular Automata

Papers:

L. CHEN, J.F. HUANG et al., Comparison between backpropagation neural network and regression models for estimation of pigment content in rice leaves and panicles using hyperspectral data, International Journal of Remote Sensing, Volume 28, Issue 16 January 2007, pages 3457-3478.

L. CHEN, J.F. HUANG et al., Retrieval of Pigment Contents in Rice Leaves and panicles Using Hyperspectral Data by Artificial Neuron Network Models, IEEE International Geoscience and Remote Sensing Symposium 2005, v2, p1416-1419

L. CHEN, J.F. HUANG et al. Estimating accuracies and sensitivities of regression models for rice LAI using different vegetation indices simulated with various satellite sensors, 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTALSYSTEM SCIENCES: ITESS, 2008 3:422-428 

L. CHEN, E-Government in Nanchang: Current Status and Issues, IEEE International Conference on E-Business and E-Government, 2010, 3945-3947

L. CHEN, Assessment of a fully soft classification approach using back propagation neural network in estimating of rice growing area, International Conference on Photonics and Image in Agriculture Engineering, 2010

L. CHEN, J.F. HUANG et al., Estimating Accuracies and Sensitivity Analysis of Regression Models Fitted by Simulated Vegetation Indices of Different Sensors to Rice LAI, Journal of Remote Sensing (in Chinese) 2008, 21(1):143-151