Ⅰ Personal Profile:
Lu Heng, male, born in October 1984, PhD, Associate Professor, Master's Supervisor. Since 2012, he has been engaged in teaching and scientific research in the Department of Agricultural Water Conservancy Engineering, College of Water Resources and Hydropower, Sichuan University.
Contact Address: No. 24, Section 1, Yihuan Road South, Chengdu, Sichuan Province, Postal Code: 610065
Email: luheng@scu.edu.cn
Ⅱ Teaching:
Teaching 6 undergraduate courses to 9 majors in 4 colleges, namely: "Exploration of Geospatial Information", "Geographic Information System and Remote Sensing", "Engineering Surveying", "Comprehensive Practice of Engineering Surveying", "Principles and Applications of 3S Technology", "Surveying Practice"; Postgraduate course: "Modernization Theory and Practice of Irrigation Areas".
Ⅲ Research Fields:
1. Acquisition of basic information of irrigation areas. Aiming at the problems of low accuracy and efficiency of basic information collection such as irrigation area and planting structure, a deep learning model for planting structure was established, and a method for rapid and accurate extraction of irrigation area and planting structure was proposed.
2. Source identification of flood and sand disasters. Aiming at the problem of estimating the area and volume of landslide and collapse accumulation bodies, a deep learning-based source extraction method and a potential source area identification method are proposed. The established collapse and landslide sample database can provide sample data reference for the study of collapse and landslide in southwest China.
3. Wide-area ecological environment assessment. Aiming at the problem of vegetation cover monitoring and ecosystem service function estimation, a leaf area index inversion model was constructed, and a long-time series ecosystem service function estimation method was developed.
Ⅳ Research Projects:
Longitudinal:
1. National Natural Science Foundation of China Youth Fund, Cultivated Land Object Extraction Method Based on Deep Learning of High-Resolution Remote Sensing Images (41701499), 2018-2020, Principal Investigator;
2. Sub-project of the National Key R&D Program, Multi-source Heterogeneous Remote Sensing Data Fusion and Intelligent Identification of Solid Material Sources (2019YFC1510702-01), 2020-2022, Principal Investigator;
3. Key R&D Program of Sichuan Science and Technology Department, Rapid Detection and Sensitivity Evaluation of Earthquake Landslides in Southwestern Mountains Based on High-Resolution Remote Sensing Images (2018GZ0265), 2018-2019, Principal Investigator;
4. Open Fund of Key Laboratory of Southwest Land Resources Evaluation and Monitoring, Ministry of Education, Object-Level Extraction of Agricultural Irrigation Area Planting Structure Based on Multi-source Remote Sensing Data with Deep Learning (2021LF2006), 2021-2023, Principal Investigator;
5. Open Fund of Qinghai Provincial Key Laboratory of Geospatial Information Technology and Application, Identification Research of Ecological Sensitive Areas in Qinghai Province Based on Geographic National Conditions (2019LF2009), 2018-2021, Principal Investigator;
6. Fundamental Research Funds for the Central Universities, Dynamic Monitoring of Land Use Using UAV Imagery (2013SCU11006), 2013-2015, Principal Investigator.
Horizontal:
1. Ya'an City Water Resources Comprehensive Plan (18H0950), 2018, Principal Investigator;
2. Jianyang City Rural Drinking Water Project Status and Needs Survey (15H0874), 2015, Principal Investigator;
3. Exploration and Design of Reinforcement Project for Meijiagou Reservoir Hub in Anju District, Suining City (17H0258), 2017, Principal Investigator;
4. Exploration and Design of Reinforcement Project for Dayugou Reservoir Hub in Anju District, Suining City (17H0254), 2017, Principal Investigator;
5. Chengdu Pujiang County Rural Drinking Water Project Status and Needs Survey (15H0855), 2015, Principal Investigator;
6. Exploration and Design of Reinforcement Project for Mutongjing Reservoir Hub in Anju District, Suining City (17H0257), 2017, Principal Investigator.
Ⅴ Representative Works:
【Monograph】:《Drones—Applications》: Chapter 1《Land use information quick mapping based on UAV low-attitude remote sensing technology and transfer learning》, Chapter 2 《Uncertainty of object-based image analysis for drone survey images》.
【Textbook】: National Thirteenth Five-Year Plan Textbook for Higher Education, National Water Conservancy Industry Planning Textbook: "Application of 3S Technology in Water Conservancy Science", 2020.
Representative papers on obtaining basic information of irrigation areas:
1.Lu Heng, Liu Chao, Li Naiwen et al. (2021) Optimal segmentation scale selection and evaluation of cultivated land objects based on high-resolution remote sensing images with spectral and texture features. Environmental Science and Pollution Research, DOI: 10.1007/s11356-021-12552-2.
2. Zhang Shiqi, Dai Xiaoai, Gao Xiaojie,Lu Henget al. (2022) Crop Classification for UAV Visible Imagery Using Deep Semantic Segmentation Methods. Geocarto International , DOI: 10.1080/10106049.2022.2032387.
3.Lu Heng, Liu Chao, Li Longguo et al. (2017) Cultivated land information extraction in UAV imagery based on deep convolutional neural network and transfer learning. Journal of Mountain Science, DOI: 10.1007/s11629-016-3950-2.
4. Lu Heng, Li Longguo, Zhuang Wenhua, et al. (2015) Cultivated land information extraction method of UAV image based on transfer learning. Transactions of the Chinese Society for Agricultural Machinery.
5. Lu Heng, Liu Chao, Li Longguo, et al. (2016) Rapid mapping method of land use information based on low-altitude remote sensing and transfer learning. Transactions of the Chinese Society for Agricultural Machinery.
Representative papers on source identification of flood and sand disasters:
1. Ding Lisha, Li Longguo, Liu Chao,Lu Heng*et al. (2021) A Survey of Remote Sensing and Geographic Information System Applications for Flash Floods. Remote Sensing, DOI: 10.3390/rs13091818.
2. Guo Jiawei, Li Yongshu,Lu Heng*et al. (2019) Information Detection of Seismic Debris Flow by UAV High resolution Image Based on Transfer Learning. Earthquake Research in China.
3.Lu Heng, Ma Lei, Liu Chao, Li Naiwen et al. (2020) Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep Learning and Transfer Learning. Remote Sensing, DOI: 10.3390/rs12050752.
4. Fu Xiao, Liu Xiuju, Lu Heng, et al. (2018) Earthquake landslide information extraction method based on UAV high-resolution remote sensing image. Earthquake Research.
5. Wang Xiaobo, Liu Xuemei, Lu Heng, et al. (2019) Rapid detection of earthquake landslide information based on SHALSTAB model and object-oriented remote sensing image analysis. Earthquake Research.
Representative papers on wide-area ecological environment assessment:
1. Dai Xiaoai, Brian Alan Johnson, Luo Penglan,Lu Heng*et al. (2021) Estimation of Urban Ecosystem Services Value: A Case Study of Chengdu, Southwestern China. Remote Sensing, DOI: 10.3390/rs13020207.
2. He Jing, Liu Xiuju,Lu Heng*et al. (2020) Vegetation Restoration Monitoring in Yingxiu Landslide Area after the 2008 Wenchuan Earthquake. Earthquake Research in China.
3. Dai Xiaoai, Liu Chao, Li Naiwen,Lu Heng*et al. (2021) LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis. Journal of Mountain Science, DOI: 10.1007/s11629-020-6525-1.
4. Lu Heng, Li Longguo, Liu Chao, et al. (2016) Classification of soil and water resources information based on high-resolution remote sensing images supported by optimal segmentation scale. Transactions of the Chinese Society for Agricultural Machinery.
5. Fu Xiao, Zhu Qing, Lu Heng, et al. (2016) Dynamic monitoring of land use information in mountainous areas using UAV imagery. Journal of Mountain Science.
Ⅵ Awards:
1. First Prize of Sichuan University Teaching Achievement in 2021;
2. Most Popular Teacher of Cultural Literacy Public Elective Course of Sichuan University in 2017;
3. Most Popular Teacher of Cultural Literacy Public Elective Course of Sichuan University in 2016;
4. Excellent Instructor of Innovation and Entrepreneurship Education for College Students of Sichuan University in 2016;
5. Excellent Internship Instructor of Sichuan University in 2015;
6. Excellent Instructor of Extracurricular Science and Technology Practice Activities of Sichuan University in 2014;
7. Young Key Teacher of Sichuan University in 2013.
Ⅶ Part-time Job:
1. Serving as a guest (scientific) editor and reviewer for many domestic and foreign journals (such as: Remote Sensing of Environment, Geocarto International, Advances in Water Science, Transactions of the Chinese Society for Agricultural Machinery, etc.);
2. Reviewer of the National Natural Science Foundation of China.