一、基本介绍

教授 、博士生导师

 

二、研究方向

生态遥感、地理观测与模拟

 

三、教育背景

美国波士顿大学                                            博士          (2005-2012)
北京大学                                                        学士          (2001-2005)

 

四、工作经历

中山大学地理科学与规划学院     教授          (2021-至今)
中山大学地理科学与规划学院     副教授         (2015-2021)
清华大学全球变化研究院       博士后         (2012-2015)

 

五、社会任职

1、《International Journal of Remote Sensing》杂志的副编辑 (Associate Editor)

2、《Plants》杂志的客座编辑 (Guest Editor)

3、担任《Remote Sensing of Environment》、《Atmospheric Chemistry and Physics》、《Methods in Ecology and Evolution》、《ISPRS Journal of Photogrammetry and Remote Sensing》等20余种SCI期刊审稿人

 

六、论著专利

科学引文索引(Science Citation Index)：

[J71] Characterizing spring phenological changes of the land surface across the conterminous United States from 2001 to 2021. Wei Wu, Qinchuan Xin (2023). Remote Sensing, 15, 737.

[J70] Toward 30 m fine-resolution land surface phenology mapping at a large scale using spatiotemporal fusion of MODIS and Landsat Data. Yongjian Ruan, Baozhen Ruan, Xinchang Zhang, Zurui Ao, Qinchuan Xin, Ying Sun, and Fengrui Jing (2023). Sustainability, 15, 3365.

[J69] Advanced climate simulation and observation. Zengyun Hu, Xuguang Tang, Qinchuan Xin (2023). Atmosphere, 14, 364.

[J68] Ecological responses to climate change and human activities in the arid and semi-arid regions of Xinjiang in China. Yanqing Zhou, Yaoming Li, Wei Li, Feng Li, Qinchuan Xin (2022). Remote sensing, 2022, 14, 3911.

[J67] Warming reduces global agricultural oduction by decreasing cropping frequency and yields. Peng Zhu, Jennifer Burney, Jinfeng Chang, Zhenong Jin, Nathaniel D. Mueller, Qinchuan Xin, Jialu Xu, Le Yu, David Makowski, Philippe Ciais (2022). Nature Climate Change, 12, 1016-1023.

[J66] Gap-filling and missing information recovery for time series of MODIS data using deep learning-based methods. Yidan Wang, Xuewen Zhou, Zurui Ao, Kun Xiao, Chenxi Yan, Qinchuan Xin (2022). Remote Sensing, 14, 4692.

[J65] Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks. Zurui Ao, Fangfang Wu, Saihan Hu, Ying Sun, Yanjun Su, Qinghua Guo, Qinchuan Xin (2022). The Crop Journal, 10, 1239-1250.

[J64] Counting trees in a subtropical mega city using the instance segmentation method. Ying Sun, Ziming Li, Huagui He, Liang Guo, Xinchang Zhang, Qinchuan Xin (2022). International Journal of Applied Earth Observations and Geoinformation, 106, 102662.

[J63] A densely attentive refinement network for change detection based on very-high-resolution bitemporal remote sensing images. Ziming Li, Chenxi Yan, Ying Sun, Qinchuan Xin (2022). IEEE Transactions on Geoscience and Remote Sensing, 60, 4409818.

[J62] Deep learning-based spatiotemporal data fusion using a patch-to-pixel mapping strategy and model comparisons. Zurui Ao, Ying Sun, Xiaoyu Pan, Qinchuan Xin (2022). IEEE Transactions on Geoscience and Remote Sensing, 60, 5407718.

[J61] Fine-grained building change detection from very high-spatial-resolution remote sensing images based on deep multitask learning. Ying Sun, Xinchang Zhang, Jianfeng Huang, Haiying Wang, Qinchuan Xin (2022). IEEE Geoscience and Remote Sensing Letters, 19, 8000605.

[J60] Modeling and analyzing supply-demand relationships of water resources in Xinjiang from a perspective of ecosystem services. Feng Li, Yaoming Li, Xuewen Zhou, Zun Yin, Tie Liu, Qinchuan Xin (2022). Journal of Arid Land, 14, 115-138.

[J59] Comparisons of numerical phenology models and machine learning methods on predicting the spring onset of natural vegetation across the Northern Hemisphere. Wanjing Li, Qinchuan Xin, Xuewen Zhou, Zhicheng Zhang, Yongjian Ruan (2021). Ecological Indicators, 131, 108126.

[J58] Constructing 10-m NDVI time series from Landsat 8 and Sentinel 2 images using convolutional neural networks. Zurui Ao, Ying Sun, Qinchuan Xin (2021). IEEE Geoscience and Remote Sensing Letters, 18, 1461-1465.

[J57] Development of a global annual land surface phenology dataset for 1982-2018 from the AVHRR data by implementing multiple phenology retrieving methods. Wei Wu, Ying Sun, Kun Xiao, Qinchuan Xin (2021). International Journal of Applied Earth Observations and Geoinformation, 103, 102487.

[J56] Machine learning-based modeling of vegetation leaf area index and gross primary productivity across North America and comparison with a process-based model. Zhicheng Zhang, Qinchuan Xin, Wanjing Li (2021). Journal of Advances in Modeling Earth Systems, 13, e2021MS002802.

[J55] A deep-learning-based experiment for benchmarking the performance of global terrestrial vegetation phenology models. Xuewen Zhou, Qinchuan Xin, Yongjiu Dai, Wanjing Li (2021). Global Ecology and Biogeography, 30, 2178-2199.

[J54] A deep learning-based framework for automated extraction of building footprint polygons from very high-resolution aerial imagery. Ziming Li, Qinchuan Xin, Ying Sun, Mengying Cao (2021). Remote Sensing, 13, 3630.

[J53] Attention-guided label refinement network for semantic segmentation of very high resolution aerial orthoimages. Jianfeng Huang, Xinchang Zhang, Ying Sun, Qinchuan Xin (2021). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 4490-4503.

[J52] Identifying leaf phenology of deciduous broadleaf forests from PhenoCam images using a convolutional neural network regression method. Mengying Cao, Ying Sun, Xin Jiang, Ziming Li, Qinchuan Xin (2021). Remote Sensing, 13, 2331.

[J51] A method for quality management of vegetation phenophases derived from satellite remote sensing data. Yongjian Ruan, Xinchang Zhang, Qinchuan Xin, Ying Sun, Zurui Ao, Xin Jiang (2021). International Journal of Remote Sensing, 42, 5811-5830.

[J50] How does urban expansion interact with cropland loss? A comparison of 14 Chinese cities from 1980 to 2015. Ying Tu, Bin Chen, Le Yu, Qinchuan Xin, Peng Gong, Bing Xu (2021). Landscape Ecology, 36, 243-263.

[J49] Annual dynamic dataset of global cropping intensity from 2001 to 2019. Xiaoxuan Liu, Juepeng Zheng, Le Yu, Pengyu Hao, Bin Chen, Qinchuan Xin, Haohuan Fu, Peng Gong (2021). Scientific Data, 8, 283.

[J48] Arbitrary-shaped building boundary-aware detection with pixel aggregation network. Xin Jiang, Xinchang Zhang, Qinchuan Xin, Xu Xi, Pengcheng Zhang (2021). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2699-2710.

[J47] Evaluations and comparisons of rule-based and machine-learning-based methods to retrieve satellite-based vegetation phenology using MODIS and USA National Phenology Network data. Qinchuan Xin, Jing Li, Ziming Li, Yaoming Li, Xuewen Zhou (2020). International Journal of Applied Earth Observation and Geoinformation, 93, 102189.

[J46] A semiprognostic phenology model for simulating multidecadal dynamics of global vegetation leaf area index. Qinchuan Xin, Xuewen Zhou, Nan Wei, Hua Yuan, Zurui Ao, Yongjiu Dai (2020). Journal of Advances in Modeling Earth Systems, 12, e2019MS001935.

[J45] Topology-preserving and geometric feature-correction watermarking of vector maps. Xu Xi, Xinchang Zhang, Ying Sun, Xin Jiang, Qinchuan Xin (2020). IEEE Access, 8, 33428-33441.

[J44] A global high-resolution dataset of soil hydraulic and thermal properties for land surface modeling. Yongjiu Dai, Qinchuan Xin, Nan Wei, Yonggen Zhang, Wei Shangguan, Hua Yuan, Shupeng Zhang, Shaofeng Liu, Xingjie Lu (2019). Journal of Advances in Modeling Earth Systems, 11, 2996-3023.

[J43] Enhanced vegetation growth in the urban environment across 32 cities in the Northern Hemisphere. Yongjian Ruan, Xinchang Zhang, Qinchuan Xin, Zurui Ao, Ying Sun (2019). Journal of Geophysical Research Biogeosciences, 124, 3831-3846.

[J42] Deep Learning approaches for the mapping of tree species diversity in a tropical wetland using airborne LiDAR and high-spatial-resolution remote sensing images. Ying Sun, Jianfeng Huang, Zurui Ao, Dazhao Lao, Qinchuan Xin (2019). Forests, 10, 1047.

[J41] Characterizing tree species of a tropical wetland in southern China at the individual tree level based on convolutional neural network. Ying Sun, Qinchuan Xin, Jianfeng Huang, Bo Huang, Hongsheng Zhang (2019). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 4415-4425.

[J40] Automated surface water extraction combining Sentinel-2 imagery and OpenStreetMap using Presence and Background Learning (PBL) algorithm. Zhiqiang Zhang, Xinchang Zhang, Xin Jiang, Qinchuan Xin, Zurui Ao, Qiting Zuo, Liyan Chen (2019). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 3784-3798.

[J39] A review of the global soil property maps for Earth system models. Yongjiu Dai, Wei Shangguan, Nan Wei, Qinchuan Xin, Hua Yuan, Shupeng Zhang, Shaofeng Liu, Xingjie Lu, Dagang Wang, Fapeng Yan (2019). Soil, 5, 137-58.

[J38] Cumulative effects of climatic factors on terrestrial vegetation growth. Youyue Wen, Xiaoping Liu, Qinchuan Xin, Jin Wu, Xiaocong Xu, Fengsong Pei, Xia Li, Guoming Du, Yiling Cai, Kui Lin, Jian Yang, Yunpeng Wang (2019). Journal of Geophysical Research Biogeosciences, 124, 789-806.

[J37] Automatic building extraction from high-resolution aerial images and LiDAR data using gated residual refinement network. Jianfeng Huang, Xinchang Zhang, Qinchuan Xin, Ying Sun, Pengcheng Zhang (2019). ISPRS Journal of Photogrammetry & Remote Sensing, 151, 91-105.

[J36] Different representations of canopy structure a large source of uncertainty in global land surface modeling. Yongjiu Dai, Hua Yuan, Qinchuan Xin, Dagang Wang, Wei Shangguan, Shupeng Zhang, Shaofeng Liu, Nan Wei (2019). Agricultural and Forest Meteorology, 269-270, 119-135.

[J35] Dual zero-watermarking scheme for two-dimensional vector map based on Delaunay triangle mesh and singular value decomposition. Xu Xi, Xinchang Zhang, Weidong Liang, Qinchuan Xin, Pengcheng Zhang (2019). Applied Sciences, 9, 642.

[J34] A simple time-stepping scheme to simulate leaf area index, phenology, and gross primary production across deciduous broadleaf forests in the eastern United States. Qinchuan Xin, Yongjiu Dai, Xiaoping Liu (2019). Biogeosciences, 16, 467-484.

[J33] A new satellite-based indicator to identify spatiotemporal foraging areas for herbivorous waterfowl. Jie Wei, Qinchuan Xin, Luyan Ji, Peng Gong, Yali Si (2019). Ecological Indicators, 99, 83-90.

[J32] Improving satellite-based modeling of gross primary production in deciduous broadleaf forests by accounting for seasonality in light use efficiency. Xuewen Zhou, Qinchuan Xin (2019). International Journal of Remote Sensing, 40, 931-955.

[J31] Extracting building boundaries from high resolution optical images and LiDAR data by integrating the convolutional neural network and the active contour model. Ying Sun, Xinchang Zhang, Xiaoyang Zhao, Qinchuan Xin (2018). Remote Sensing, 10, 1459.

[J30] A steady-state approximation approach for simulating seasonal leaf dynamics of deciduous broadleaf forests via climate variables. Qinchuan Xin, Yongjiu Dai, Xia Li, Xiaoping Liu, Peng Gong, Andrew D. Richardson (2018). Agricultural and Forest Meteorology, 249, 44-56.

[J29] Recognition of building group patterns in topographic maps based on graph partitioning and random forest. Xianjin He, Xinchang Zhang, Qinchuan Xin (2018). ISPRS Journal of Photogrammetry & Remote Sensing, 136, 26-40.

[J28] Quantifying Australia’s dryland vegetation response to flooding and drought at sub-continental scale. Mark Broich, Mirela G. Tulbure, Jan Verbesselt, Qinchuan Xin, Jack Wearne (2018). Remote Sensing of Environment, 212, 60-78.

[J27] Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data. Xiaoxuan Liu, Le Yu, Wei Li, Dailiang Peng, Liheng Zhong, Le Li, Qinchuan Xin, Hui Lu, Chaoqing Yu, Peng Gong (2018). International Journal of Remote Sensing, 39, 6631-6645.

[J26] Developing a multi-filter convolutional neural network for semantic segmentation using high-resolution aerial imagery and LiDAR data. Ying Sun, Xinchang Zhang, Qinchuan Xin, Jianfeng Huang (2018). ISPRS Journal of Photogrammetry & Remote Sensing, 143, 3-14.

[J25] Satellite-based models need improvements to simulating annual gross primary productivity: a comparison of six models for regional modeling of deciduous broadleaf forests. Le Li, Yaolong Zhao, Yingchun Fu, Qinchuan Xin (2018). Remote Sensing, 10, 1008.

[J24] The application of discrete wavelet transform with improved partial least-squares method for the estimation of soil properties with visible and near-infrared spectral data. Guoqiang Wang, Wei Wang, Qingqing Fang, Hong Jiang, Qinchuan Xin, Baolin Xue (2018). Remote Sensing, 10, 867.

[J23] Elevated atmospheric CO2 negatively impacts photosynthesis through radiative forcing and physiology-mediated climate feedback. Peng Zhu, Qianlai Zhuang, Philippe Ciais, Lisa Welp, Wenyu Li, Qinchuan Xin (2017). Geophysical Research Letters, 44,1956-1963.

[J22] Monitoring annual urbanization activities in Guangzhou using Landsat images (1987 - 2015). Ying Sun, Xinchang Zhang, Yuan Zhao, Qinchuan Xin (2017). International Journal of Remote Sensing, 38, 1258-1176.

[J21] Quantifying the spatial and temporal relationship between air and land surface temperatures of different land-cover types in southeastern China. Yanling Sheng, Xiaoping Liu, Xuchao Yang, Qinchuan Xin, Chengbin Deng, Xia Li (2017). International Journal of Remote Sensing, 38, 1114-1136.

[J20] High resolution mapping of cropping cycles by fusion of Landsat and MODIS data. Le Li, Yaolong Zhao, Yingchun Fu, Yaozhong Pan, Le Yu, Qinchuan Xin (2017). Remote Sensing, 9, 1232.

[J19] A risk-benefit model to simulate vegetation spring onset in response to multi-decadal climate variability: theoretical basis and applications from the field to the Northern Hemisphere. Qinchuan Xin (2016). Agricultural and Forest Meteorology, 228, 139-163.

[J18] Effects of the partitioning of diffuse and direct solar radiation on satellite-based modeling of crop gross primary production. Qinchuan Xin, Peng Gong, Andrew E Suyker, Yali Si (2016). International Journal of Applied Earth Observation and Geoinformation, 50, 51-63.

[J17] Propagating updates of residential areas in multi-representation databases using constrained Delaunay triangulations. Xinchang Zhang, Taisheng Guo, Jianfeng Huang, Qinchuan Xin (2016). ISPRS International Journal of Geo-Information, 5, 80.

[J16] Global snow cover estimation with microwave brightness temperature measurements and one-class in situ observations. Xiaocong Xu, Xiaoping Liu, Xia Li, Qinchuan Xin, Yimin Chen, Qian Shi, Bin Ai (2016). Remote Sensing of Environment, 182, 227-251.

[J15] Quantifying multi-decadal change of planted forest cover using airborne LiDAR and Landsat imagery. Xiaoyi Wang, Huabing Huang, Peng Gong, Gregory S. Biging, Qinchuan Xin, Yanlei Chen, Jun Yang, Caixia Liu (2016). Remote Sensing, 8, 62.

[J14] Modeling impacts of water and fertilizer management on the ecosystem service of rice rotated cropping system in China. Han Chen, Chaoqing Yu, Changsheng Li, Qinchuan Xin, Xiao Huang, Jie Zhang, Yali Yue, Guorui Huang, Xuecao Li, Wei Wang (2016). Agriculture, Ecosystems & Environment, 219, 49-57.

[J13] Modeling grassland spring onset across the western United States using climate variables and MODIS-derived phenology metrics. Qinchuan Xin, Mark Broich, Peng Zhu, Peng Gong (2015). Remote Sensing of Environment, 161, 63-77.

[J12] Multi-scale evaluation of light use efficiency in MODIS gross primary productivity for croplands in the Midwestern United States. Qinchuan Xin, Mark Broich, Andrew E. Suyker, Le Yu, Peng Gong (2015). Agricultural and Forest Meteorology, 201, 111-119.

[J11] Modeling photosynthesis of discontinuous plant canopies by linking Geometric Optical Radiative Transfer model with biochemical processes. Qinchuan Xin, Peng Gong, Wenyu Li (2015). Biogeosciences, 12, 3447-3467.

[J10] Do Arctic breeding geese track or overtake a green wave during spring migration. Yali Si, Qinchuan Xin, Willem F. de Boer, Peng Gong, Ronald C. Ydenberg, Herbert H.T. Prins (2015). Scientific Reports, 5, 8749.

[J09] Improving the quantification of waterfowl migration with remote sensing and bird tracking. Yali Si, Qinchuan Xin, Herbert H.T. Prins, Willem F. de Boer, Peng Gong (2015). Science Bulletin, 60, 1984-1993.

[J08] Dynamic assessment of the impact of drought on agricultural yield and scale-dependent return periods over large geographic regions. Chaoqing Yu, Changsheng Li, Qinchuan Xin, Han Chen, Jie Zhang, Feng Zhang, Xuecao Li, Nick Clinton, Xiao Huang, Yali Yue, Peng Gong (2014). Environmental Modelling & Software, 62, 454-464.

[J07] Land surface phenological response to decadal climate variability across Australia using satellite remote sensing. Mark Broich, Alfredo Huete, Mirela G. Tulbure, Xuanlong Ma, Qinchuan Xin, Matt Paget, Natalia Restrepo-Coupe, Kevin Davies, Rakhesh Devadas, Alex Held (2014). Biogeosciences, 11, 5181-5198.

[J06] Mapping crop cycles in China using MODIS-EVI time series. Le Li, Mark A. Friedl, Qinchuan Xin, Josh Gray, Yaozhong Pan, Steve Frolking (2014). Remote Sensing, 6, 2473-2493.

[J05] Meta-discoveries from a synthesis of satellite-based land-cover mapping research. Le Yu, Lu Liang, Jie Wang, Yuanyuan Zhao, Qu Cheng, Luanyun Hu, Shuang Liu, Liang Yu, Xiaoyi Wang, Peng Zhu, Xueyan Li, Yue Xu, Congcong Li, Wei Fu, Xuecao Li, Wenyu Li, Caixia Liu, Na Cong, Han Zhang, Fangdi Sun, Xinfang Bi, Qinchuan Xin, Dandan Li, Donghui Yan, Zhiliang Zhu, Michael F. Goodchild, Peng Gong (*) (2014). International Journal of Remote Sensing, 35, 4573-4588.

[J04] Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data. Qinchuan Xin, Pontus Olofsson, Zhe Zhu, Bin Tan, Curtis E. Woodcock (2013). Remote Sensing of Environment, 135, 234-247.

[J03] A production efficiency model-based method for satellite estimates of corn and soybean yields in the Midwestern US. Qinchuan Xin, Peng Gong, Chaoqing Yu, Le Yu, Mark Broich, Andrew E. Suyker, Ranga B. Myneni (2013). Remote Sensing, 5, 5926-5943.

[J02] FROM-GC: 30 m global cropland extent derived through multi-source data integration. Le Yu, Jie Wang, Nicholas Clinton, Qinchuan Xin, Liheng Zhong, Yanlei Chen, Peng Gong (2013). International Journal of Digital Earth, 6, 521-533.

[J01] View angle effects on MODIS snow mapping in forests. Qinchuan Xin, Curtis E. Woodcock, Jicheng Liu, Bin Tan, Rae A. Melloh, Robert E. Davis (2012). Remote Sensing of Environment, 118, 50-59.

 

 

工程索引(Engineering Index)：

[E02] Combining the pixel-based and object-based methods for building change detection using high-resolution remote sensing images. Zhiqiang Zhang, Xinchang Zhang, Qinchuan Xin, Xiaoling Yang (2018). Acta Geodaeticaet Cartographica Sinica, 47, 102-112.

[E01] Combining Crop Proportion Phenology Index models with machine learning algorithms for estimating winter wheat areas. Le Li, Yaozhong Pan, and Qinchuan Xin (2016). 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, July 10, 2016 - July 15, 2016, Beijing, China.

 

教材专著：

[B02] 张新长, 辛秦川, 何广静, 郭泰圣 (2017). 地理信息系统实习. 北京：高等教育出版社

[B01] 张新长, 辛秦川, 郭泰圣, 何广静 (2017). 地理信息系统概论. 北京：高等教育出版社

 

专利及软件著作权：

[P05] 中山大学. 一种植物生长时间的识别方法及装置. 中国, 受理, 202110764932.3

[P04] 中山大学. 基于深度学习的植物关键物候期时间点模拟与预测方法. 中国, 受理, 202011432779.6

[P03] 中山大学. 基于深度学习的单木级树种识别方法. 中国, 受理, 201910888236.6

[P02] 中山大学. 模拟落叶阔叶林叶片季节性动态的稳态近似方法及系统. 中国, 实质审查, 201711232693.7

[P01] 中山大学. 一种面向地图综合的建筑物群组模式识别的方法及系统.中国, 授权, 201710967938.4

[S02] 中山大学. 模拟落叶阔叶林叶片季节性动态的稳态近似方法及系统, 2017.11.29, 201711232693.7

[S01] 中山大学. 植被日生产力计算软件, 2017SR719789, 2016.01.01

 

七、科研项目

主持项目：

[G05] 国家自然科学基金面上项目 “通用陆面模式中常绿阔叶植被参数化方案的研制与改进” (批准号 41875122，2019/01/01-2022/12/31，国家级面上)

[G04] 国家重点研发计划全球变化及应对重点专项 “高分辨率全球陆面过程模式研发与应用” 第二课题“耦合人类活动的陆面生态系统过程建模” (批准号2017YFA0604302，2017/07-2022/06，国家级重大)

[G03] 高校基本科研业务费青年教师重点培育项目 “气候变化下的广东省红树林生态系统碳收支模拟” (批准号20173700031620003，2017/03-2018/12)

[G02] 国家自然科学青年科学基金项目 “基于遥感信息与DNDC模型同化的稻田温室气体排放量估算” (批准号41401484，2015/01-2017/12，国家级)

[G01] 中国博士后一等面上基金项目 “基于遥感过程模型的冬小麦产量估算研究” (批准号2013M540087，2013/09-2015/06，省部级)

 

参与项目：

[C05] 国家重点研发计划全球变化及应对重点专项 “人-地耦合的高精度全球土地利用演变模拟及应用” (批准号2017YFA0604400，2017/07-2022/06)

[C04] 国家自然科学基金面上项目 “大数据支持下的精细土地利用与多模式交通网络协同优化” (批准号41671398，2017/01-2020/12)

[C03] 国家自然科学基金面上项目 “黑龙江区域气候、冻土和野火动态对水文和植物影响的数值模拟研究” (批准号31570475，2016/01-2019/12)

[C02] 国家自然科学基金面上项目 “基于遥感和空间分析技术研究环境因子影响下的东亚候鸟时空迁徙规律” (批准号41471347，2015/01-2018/12)

[C01] 国家自然科学基金面上项目 “基于遥感观测和同化技术的区域陆地水循环模拟研究” (批准号41371328，2014/01-2017/12)

 

八、获奖情况

[A10] 第八届广东省教育教学成果奖(高等教育)二等奖

[A09] 第二届全国高校GIS教学成果奖一等奖

[A08] 2020年华夏建设科学技术奖一等奖

[A07] 2018年高等学校科学研究优秀成果奖二等奖

[A06] 2018年谢义炳青年气象科技奖

[A05] 2017年“广东特支计划”科技创新青年拔尖人才

[A04] 2017年广东省教育教学成果奖二等奖

[A03] 2017年首届全国高校GIS教学成果奖特等奖

[A02] 2017年中山大学第八届校级教学成果奖一等奖

[A01] 2015年中山大学“百人计划”紧缺优秀青年人才

 

九、讲授课程

中山大学      《遥感与地理信息系统概论》、《遥感原理与方法》、《地理信息系统导论》

教育部爱课程网   《地理信息系统概论》