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实验室招收本科生、士生、博士生、博士后或助理研究专职科研对卫星热红外遥感与城市热环境遥感研究域感趣的同学、老加盟团队或者前来合作(zhanwenfeng@nju.edu.cn。共同为热红遥感理加瓦!

 

在热红外遥感算法、理论或方法论方面,我们关注卫星热红外遥感时空建模、产品拓展、优化与验证;在城市热环境遥感应用方面,我们主要围绕从城市街区到全球城市、从日内瞬时到年际变化乃至未来预测、从地下深处到大气边界层的城市热环境系统的格局、演变、机制及其应对/适应


 

个人信息

姓名:占文凤/詹文凤

职称:教  / 

地址:江苏省南京市栖霞区仙林大道163号南大仙林校区昆山楼

邮箱:zhanwenfeng@nju.edu.cn; zhanwenfeng@foxmail.com

方向:热红外遥感时空建模理论与应用、城市热环境遥感

主页:http://gis.nju.edu.cn/rs.asp?ID=80

 

背景经历

2018.01-至今            /博导,国际地球系统科学研究所,南京大学

2016.09-2017.12      副教授/博导,国际地球系统科学研究所,南京大学

2012.08-2016.08     副教授/硕导,国际地球系统科学研究所,南京大学

2010.09-2011.07     博士生联合培养(CSC资助),加拿大西安大略大学

2007.09-2012.07    理学博士(地理学-地图学与地理信息系统),北京师范大学

2003.09-2007.06   工学学士(遥感科学与技术-偏向于摄影测量与电子信息工程),武汉大学

 

研究经历

2008.07-至今         热红外遥感理论与城市热环境遥感

2007.07-2008.06   遥感与地理信息系统软件开发[Java + Oracle spatial]

2006.11-2007.06     合成孔径雷达干涉测量地理编码

2006.03-2006.10    多源遥感影像融合

 

教授

本科生课程:《遥感概论》与《数据挖掘》

研究生课程:《热红外遥感》

 

主持

2018.07-2021.06     江苏省杰出青年科学基金项目

2017.07-2022.06    国家重点研发计划项目(全球变化驱动下陆表自然和人文要素相互作用及区域表现)子课题

2016.07-2021.06     国家重点研发计划项目(生物圈碳循环关键参数遥感协同反演研究)子课题

2017.01-2020.12     国家自然科学基金面上项目(顾及地表热力属性的城市群局地气候遥感分区及时空格局)

2014.04-2017.03     南京大学登峰人才支持计划(B类,地理学)

2014.01-2016.12      国家自然科学基金青年项目(热红外遥感支持下浅层土壤温度的四时间尺度模型与高分辨率重建)

2013.12-2016.12      国家高技术研究发展计划专题(全球陆地生态系统GPPET产品生成技术研究)

2013.07-2016.06     江苏省自然科学基金青年项目(遥感支持下城市地下热环境的时空格局与剖面耦合模拟)

2013.01-2014.12      地表过程与资源生态国家重点实验室开放课题(耦合地表温度时空变异模型的遥感组分温度分离方案)

2012.07-2014.06     遥感科学国家重点实验室开放基金(顾及时间动态模型的遥感地表温度分解同化范式)

 

主要获奖

2018      第五届全国青年地学论坛“青年研究生奖”一等奖(指导研究生为赖佳梦)

2018      江苏省优秀硕士学位论文指导教师(指导研究生为高伦)

2018      南京大学新华报业优秀青年教师奖

2018      江苏省杰青

2017      葛宗亮奖教金(南京大学地理与海洋科学学院优秀本科生班主任)

2017      全国高校GIS教学成果奖特等奖(排名:10/15

2016      江苏省优秀硕士学位论文指导教师(指导研究生为黄帆)

2015      首届遥感青年科技人才创新资助计划(国家遥感中心,全国共30人)

2014      南京大学登峰计划-B类(地理学)

2013      北京市优秀博士学位论文(北京师范大学地理学相关专业首次入选)

2012      北京师范大学周廷儒奖(北京师范大学地理学相关领域的六个学院/研究院2012届博士毕业生,第1名,本届博士毕业人数>100人)

2007      湖北省优秀本科毕业论文(合成孔径雷达干涉测量地理编码,一等奖)

2007      武汉大学优秀毕业生(GPA年级1名,学院本年级约160人)

2005      武汉大学王之卓奖

 

研究领域

l  热红外遥感

l  城市热环境遥感

 

著作

l  共发表(含接收)SCI论文56篇,其中Remote Sensing of Environment 17篇;

l  发表一作/通作期刊论文29篇,其中SCI论文24篇,均为地学与环境遥感领域主流期刊;中文核心期刊论文5篇,以下为一作/通作SCI论文列表:

Remote Sensing of Environment [SCI-1] − 9

Environmental Science & Technology [SCI-1] − 1

Journal of Hydrology [SCI-1] − 1

Building and Environment [SCI-1] − 2

ISPRS Journal of Photogrammetry and Remote Sensing [SCI-1] − 2

IEEE Transactions on Geoscience and Remote Sensing [SCI-2] − 4

Journal of Geophysical Research Atmospheres [SCI-2] − 2

International Journal of Applied Earth Observation and Geoinformation [SCI-2] − 1

Remote Sensing [SCI-2] − 1

IEEE Geoscience and Remote Sensing Letters [SCI-3] − 1

 

 

 


Short Bio and Complete English CV

Born in Oct. 1986, Dr. Wenfeng Zhan [Standard Chinese: 占文凤/詹文凤; Gan Chinese, 赣语-宜浏片: Dēn Wèn Fŏng] currently holds a full professor position in the International Institute for Earth System Science (ESSI), Nanjing University (NJU). Initially educated as an engineer on photogrammetry and remote sensing (with a special focus on electronic engineering, Class number: 03011) in Wuhan University (WHU), he then continued to accomplish his Ph.D. pursuing science in Geography in Beijing Normal University (BNU) and later in University of Western Ontario (UWO) as a visiting student. He has worked extensively on the theory and application of thermal remote sensing, with special focus on the investigation of urban thermal anisotropy, disaggregation of land surface temperature (DLST), temporal interpolation (or extrapolation) of satellite-derived LSTs, and monitoring of urban heat island, which are supported by Chinese funding agencies such as National Natural Science Foundation of China and Natural Science Foundation of Jiangsu Province.

 

Personal Information

Name                         Wenfeng Zhan [Chinese: 占文凤/詹文凤]

Address                    Room B-412, Kunshan Building, Nanjing University at Xianlin Campus, No. 163, Xianlin Ave., Qixia District, Nanjing, Jiansu Province, China, 210023

Research Field      Thermal remote sensing; Remote sensing application

Email                         zhanwenfeng@nju.edu.cn; zhanwenfeng@foxmail.com

Group Page             http://essi.nju.edu.cn/zhanwenfeng/index.html

Homepage 1            http://nanjing.academia.edu/WenfengZhan

Homepage 2            http://gis.nju.edu.cn/rs.asp?ID=80

 

Employment and Education Background

2012.08-present     Associate Professor, International Institute for Earth System Science (ESSI), Nanjing University (NJU)

2010.09-2011.07       Joint Ph. D. Student, University of Western Ontario (UWO)

2007.09-2012.07      Ph. D., Beijing Normal University (BNU)

2003.09-2007.06      B.E. (H.), Wuhan University (WHU)

 

Research Experiences

2008.07-present     Urban & thermal remote sensing

2007.07-2008.06      Software developer [Java + Oracle]

2006.11-2007.06       Geolocation in InSAR

2006.03-2006.10      Multi-source image fusion based on the à-trous wavelet

 

Publication

(1) Main Publications (*the corresponding author; †graduate student)

l  Spatial modeling: On disaggregation of remotely sensed land surface temperature (DLST)

[1]     Gao, L., Zhan, W.*, Huang, F., Quan, J., Lu, X., Wang, F., Ju, W., Zhou, J. Localization or globalization? Determination of the optimal regression window for disaggregation of land surface temperature. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(1), 477-490, doi: 10.1109/TGRS.2016.2608987.

[2]     Gao, L., Zhan, W.*, Huang, F., Zhu, X., Zhou, J., Quan, J., Du, P., Li, M. Disaggregation of remotely sensed land surface temperature: (IV) A simple yet flexible index (SIFI) to assess method performances. Remote Sensing of Environment, 2017, 200, 206–219.

[3]     Zhan, W., Huang, F., Quan, J., Zhu, X., Gao, L., Zhou, J., Ju, W. Disaggregation of remotely sensed land surface temperature: (III) A new dynamic methodology. Journal of Geophysical Research – Atmospheres, 2016, 121(18), 10391–11153. doi: 10.1002/2016JD024891.

[4]     Chen, Y., Zhan, W.*, Quan, J., Zhou, J., Zhu, X., Sun, H. Disaggregation of remotely sensed land surface temperature: (II) A generalized paradigm. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(9), 5952-5965.

[5]     Zhan, W., Chen, Y., Zhou, J., Wang, J., Liu, W., Voogt, J., Zhu, X., Quan, J., Li, J. Disaggregation of remotely sensed land surface temperature: (I) Literature survey, taxonomy, issues, and caveats. Remote Sensing of Environment, 2013, 131, 119-139.

[6]     Zhan, W., Chen, Y., Wang, J. F., Zhou, J., Quan, J., Liu, W., Li, J. Downscaling land surface temperatures through multi-spectral and multi-resolution bands. International Journal of Applied Earth Observation and Geo-information, 2012, 18, 23-36.

[7]     Zhan, W., Chen, Y., Zhou, J., Li, J., Liu, W. Sharpening thermal imageries: a generalized theoretical framework from an assimilation perspective. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(2), 773-789.

[8]     Zhan, W., Chen, Y., Zhou, J., Li, J. An algorithm for separating soil and vegetation temperatures with sensors featuring a single thermal channel. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(5), 1796-1809.

l  Temporal modeling: On interpolation (or extrapolation) of temporally discrete surface or subsurface temperatures

[9]     Hong, F., Zhan, W.*, Göttsche, F.-M., Liu, Z., Zhou, J., Huang, F., Lai, J., Li, M. Comprehensive assessment of four-parameter diurnal land surface temperature cycle models under clear-sky. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 142, 190–204.

[10]  Zou, Z., Zhan, W.*, Liu, Z., Bechtel, B., Gao, L., Hong, F., Huang, F., Lai, J. Enhanced modeling of annual temperature cycle with temporally discrete remotely sensed thermal observations. Remote Sensing, 2018, in press.

[11]  Lu, Y., Zhan, W.*, Hu, C. Detecting and quantifying oil slick thickness by thermal remote sensing: A ground-based experiment. Remote Sensing of Environment, 2016, 181, 207–217.

[12]  Huang, F., Zhan, W.*, Ju, W., Wang, Z. Improved reconstruction of soil thermal field using two-depth measurements of soil temperature. Journal of Hydrology, 2014, 519, 711–719.

[13]  Huang, F., Zhan, W.*, Duan, S.-B., Ju, W., Quan, J. A generic framework for modeling diurnal land surface temperatures with remotely sensed thermal observations under clear sky. Remote Sensing of Environment, 2014, 150, 140–151.

[14]  Zhan, W., Zhou, J., Ju, W., Li, M., Sandholt, I., Voogt, J., & Yu, C. Remotely sensed soil temperatures beneath snow-free skin-surface using thermal observations from tandem polar-orbiting satellites: An analytical three-time-scale model. Remote Sensing of Environment, 2014, 143, 1-14.

[15]  Zhan, W., Chen, Y., Voogt, J., Zhou, J., Wang, J., Liu, W., Ma, W. Interpolating diurnal surface temperatures of an urban facet using sporadic thermal observations. Building and Environment, 2012, 57, 239-252.

l  Angular modeling: On urban thermal anisotropy

[16]  Jiang, L., Zhan, W.*, Voogt, J. A., Zhao, L., Gao, L., Huang, F., Cai, Z., & Ju, W. Remote estimation of complete urban surface temperature using only directional radiometric temperatures. Building and Environment, 2018, 135, 224–236.

[17]  Zhan, W., Chen, Y., Voogt, J. A., Zhou, J., Wang, J., Ma, W., Liu, W. Assessment of thermal anisotropy on remote estimation of urban thermal inertia. Remote Sensing of Environment, 2012, 123, 12–24.

[18]  Zhan, W., Chen, Y., Ma, W., Zhou, J., Li, J. FOV effect analysis in directional brightness temperature observations for urban targets. Journal of Remote Sensing, 2010, 14(2), 379-386. [占文凤, 陈云浩, 马伟, 周纪. 城市目标方向亮温观测的视场效应分析. 遥感学, 2010, 14(2), 379-386.]

[19]  Zhan, W., Zhou, J., Ma, W. Computer simulation of land surface thermal anisotropy based on realistic structure model: A review. Advances in Earth Science, 2009, 24(12), 1309-1317. [占文凤, 周纪, 马伟. 基于真实结构的地表热辐射方向性计算机模拟研究进展. 地球科学进展, 2009, 24(12), 1309-1317.]

l  On surface urban heat island and others

[20] Lai, J., Zhan, W.*, Huang, F., Voogt, J., Bechtel, B., Allen, M., Peng, S., Hong, F., Liu, Y., & Du, P.* Identification of typical diurnal patterns for clear-sky climatology of surface urban heat islands. Remote Sensing of Environment, 2018, 217, 203-220.

[21]  Zou, Z., Huang, F., Lai, J., Liu, Z., Zhan, W.* Impacts of temporal upscaling methods on calculation of surface urban heat island intensity. Geography and Geographical Information Science, 2018, 34(3), 26-31. [邹照旭, 黄帆, 赖佳梦, 刘紫涵, 占文凤*. 时间升尺度方法对城市地表热岛强度计算的影响研究. 地理与地理信息科学, 2018, 34(3), 26-31.]

[22] Lai, J., Zhan, W.*, Huang, F., Quan, J., Hu, L., Gao, L., Ju, W. Does quality control matter? Surface urban heat island intensity variations estimated by satellite-derived land surface temperature products. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 139, 212–227.

[23] Huang, F., Zhan, W.*, Wang, Z., Wang, K., Chen, J. M., Liu, Y., Lai, J., Ju, W. Positive or negative? urbanization-induced variations in diurnal skin-surface temperature range detected using satellite data. Journal of Geophysical Research – Atmospheres, 2017, 122(24), 13229–13244. doi:10.1002/2017JD027021.

[24] Fang, M., Ju, W.*, Zhan, W.*, Cheng, T., Qiu, F., & Wang, J. A new spectral similarity water index for the estimation of leaf water content from hyperspectral data of leaves. Remote Sensing of Environment, 2017, 196, 13–27.

[25] Zhou, Y., Jiang, L., Lu, Y.*, Zhan, W.*, Mao, Z., Qian, W., & Liu, Y. Thermal infrared contrast between different types of oil slicks on top of water bodies. IEEE Geoscience and Remote Sensing Letters, 2017, 14(7), 1042-1045.

[26] Fang, Y., Zhan, W.*, Huang, F., Gao, L., Quan, J., & Zou, Z. Hourly variation of surface urban heat island over the Yangtze River Delta urban agglomeration. Advances in Earth Science, 2017, 32(2), 187-198, doi:10.11867/j.issn.1001-8166.2017.02.0187. [方迎波, 占文凤, 黄帆, 高伦, 全金玲, 邹照旭. 长三角城市群表面城市热岛日内逐时变化规律. 地球科学进展, 2017, 32(2), 187-198.]

[27] Huang, F., Zhan, W.*, Voogt, J. A., Hu, L., Wang, Z., Quan, J., Ju, W., & Guo, Z. Temporal upscaling of surface urban heat island by incorporating an annual temperature cycle model: A tale of two cities. Remote Sensing of Environment, 2016, 186, 1−12, doi: 10.1016/j.rse.2016.08.009.

[28] Zhan, W., Ju, W., Hai, S., Ferguson, G., Quan, J., Tang, C., Guo, Z., Kong, F. Satellite-derived subsurface urban heat island. Environmental Science & Technology, 2014, 48, 12134−12140.

[29] Zhan, W., Chen, Y., Zhou, J., Li, J. Spatial simulation of urban heat island intensity based on the support vector machine technique: A case study in Beijing. Acta Geodaetica et Cartographica Sinica, 2011, 40(1), 96-103. [占文凤, 陈云浩, 周纪, 李京. 基于支持向量机的北京城市热岛模拟热岛强度空间格局曲面模拟及其应用. 测绘学报, 2011, 40(1), 96-103.]

 

(2) Coauthored Publications (as a coauthor)

[1]     Wang, D., Chen, Y., Zhan, W. A geometric model in the thermal infrared to correct directional temperature over a sparse urban surface. Remote Sensing of Environment, 2018, 209, 263–274.

[2]     Liu, Y., Hu, C., Sun, C., Zhan, W., Sun, S., Xu, B., & Dong, Y. (2018). Assessment of offshore oil/gas platform status in the northern Gulf of Mexico using multi-source satellite time-series images. Remote Sensing of Environment, 208, 63-81.

[3]     Quan, J., Zhan, W., Ma, T., Du, Y., Qin, B., Guo, Z. An integrated model for generating hourly Landsat-like land surface temperatures over heterogeneous landscapes. Remote Sensing of Environment, 2018, 206, 403–423.

[4]     Liu, Y., Hu, C., Zhan, W., Sun, C., Murch, B., Ma, L. Identifying industrial heat sources using time-series of the VIIRS nightfire product with an object-oriented approach. Remote Sensing of Environment, 2018, 204, 347-365.

[5]     Liu, Z., Wu, P., Duan, S., & Zhan, W., Ma, X., & Wu, Y. Spatio-temporal reconstruction of land surface temperature derived from FengYun geostationary satellite data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(10), 4531 – 4543, doi: 10.1109/JSTARS.2017.2716376.

[6]     Zhou, J., Zhang, X., Zhan, W., Göttsche, F. M., Liu, S., Olesen, F. S., Hu, W., & Dai, F. A thermal sampling depth correction method for land surface temperature estimation from satellite passive microwave observation over barren land. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(8), 4743-4756, doi: 10.1109/TGRS.2017.2698828.

[7]     Jin, J., Zhan, W., Wang, Y., Gu, B., Wang, W., Jiang, H., Lu, X., Zhang, X. Water use efficiency in response to interannual variations in flux-based photosynthetic onset in temperate deciduous broadleaf forests. Ecological Indicators, 2017, 79, 122-127.

[8]     Xu, Y., Ke, C., Zhan, W., Li, H., Yao, L. Variations in satellite-derived carbon dioxide over different regions of China from 2003 to 2011. Atmospheric Environment, 2017, 150, 379–388.

[9]     Zhou, J., Liu, S., Li, M., Zhan, W., Xu, Z., Xu, T. Quantification of the scale effect in downscaling land surface temperature from medium to high spatial resolution, Remote Sensing, 2016, 8(12), 975; doi:10.3390/rs8120975.

[10]  Liu, Y., Sun, C., Sun, J., Li, H., Zhan, W., Yang, Y., Zhang, S. Satellite data lift the veil on offshore platforms in the South China Sea. Scientific Report, 2016, 6, 33623; doi:10.1038/srep33623.

[11]  Chen, Y., Quan, J., Zhan, W., & Guo, Z. Enhanced statistical estimation of air temperature incorporating nighttime light data. Remote Sensing, 2016, 8(8), 656; doi:10.3390/rs8080656.

[12]  Tu, L., Qin, Z., Li, W., Geng, J., Yang, L., Zhao, S., Zhan, W., Wang, F. The surface urban heat island effect and its relationship with urban expansion in Nanjing, China. Journal of Applied Remote Sensing, 2016, 10(2), 026037-026037.

[13]  Quan, J., Zhan, W., Chen, Y., Wang, M., Wang, J. Time series decomposition of remotely sensed land surface temperature and investigation of trends and seasonal variations in surface urban heat islands. Journal of Geophysical Research, 2016, 121(6), 2638-2657. doi: 10.1002/2015JD024354.

[14]  Xie, X., Tian, S., Du, P., Zhan, W., Samat, A., Chen, J. Quantitative estimation of carbonate rock fraction in karst regions using synthetic mixed spectra in 2.0-2.5 µm. Remote Sensing, 2016, 8(1), 68; doi: 10.3390/rs8010068.

[15]  Liu, Y., Sun, C., Yang, Y., Zhou, M., Zhan, W., Cheng, W. Automatic extraction of offshore platforms using time-series Landsat-8 Operational Land Imager data. Remote Sensing of Environment, 2016, 175, 73–91.

[16]  Kong, F. H., Yan, W. J., Zheng, G., Yin, H. W., Cavan, G., Zhan, W. F., Zhang, N., Cheng, L. Retrieval of three-dimensional tree canopy and shade using terrestrial laser scanning (TLS) data to analyze the cooling effect of vegetation. Agricultural and Forest Meteorology, 2016, 217, 22–34.

[17]  Wu, Z., Wang, Y., Kong, F., Sun, R., Chen, L., Zhan, W. Analysis of the thermal characteristics of selected urban surfaces in a typical residential area based on infrared thermography. Acta Ecologica Sinica, 2016, 36(17), 5421-5431. [吴志丰, 王业宁, 孔繁花, 孙然好, 陈利顶, 占文凤. 基于热红外影像数据的典型居住区常见地表类型热特征分析. 生态学报, 2016, 36(17), 5421-5431.]

[18]  Sun, H., Chen, Y., Zhan, W. Comparing surface-and canopy-layer urban heat islands over Beijing using MODIS data. International Journal of Remote Sensing, 2015, 36(21), 5448-5465.

[19]  Yang, Y. H., Liu, Y., Zhou, M., Zhang, S., Zhan, W., Sun, C., Duan, Y. Landsat 8 OLI image based terrestrial water extraction from heterogeneous backgrounds using a reflectance homogenization approach. Remote Sensing of Environment, 2015, 171, 14-32. doi: 10.1016/j.rse.2015.10.005.

[20] Liu, Y. X., Zhou, M., Zhao, S., Zhan, W., Yang, K., Li, M. Automated extraction of tidal creeks from airborne laser altimetry data. Journal of Hydrology, 2015, 527, 1006-1020.

[21]  Sun, H., Chen, Y., Zhan, W., Wang, M., Ma, W. A kernel model for urban surface thermal emissivity anisotropy and its uncertainties. Journal of Infrared and Millimeter Waves, 2015, 34(1), 66-73.

[22] Li, W. M., Chen, E., Li, Z., Ke, Y., Zhan, W. Forest aboveground biomass estimation using polarization coherence tomography and PolSAR segmentation. International Journal of Remote Sensing, 2015, 36(2), 530–550.

[23] Quan, J., Chen, Y., Zhan, W., Wang, J., Voogt, J. A., Li, J. A hybrid method combining neighborhood information from satellite data with modeled diurnal temperature cycles over consecutive days. Remote Sensing of Environment, 2014, 155, 257–274.

[24] Zeng, C., Wang, J., Zhan, W., Shi, P., Gambles, A. An elevation difference model for building height extraction from stereo-image-derived DSM. International Journal of Remote Sensing, 2014, 35(22), 7614–7630.

[25] Quan, J., Chen, Y., Zhan, W., Wang, J., Voogt, J. A., Wang, M. Multi-temporal trajectory of the urban heat island centroid in Beijing, China based on a Gaussian volume model. Remote Sensing of Environment, 2014, 149, 33–46.

[26] Zhou, J., Zhang, X., Zhan, W., Zhang, H. Land surface temperature retrieval from MODIS data by integrating regression models and the genetic algorithm in an arid region. Remote Sensing, 2014, 6(6), 5344-5367.

[27] Sun, H., Chen, Y., Gong, A., Zhao, X., Zhan, W., Wang, M. Estimating mean air temperature using MODIS day and night land surface temperatures. Theoretical and Applied Climatology, 2014, 118(1-2), 81-92.

[28] Chen, X., Li, W., Chen, J., Zhan, W., & Rao, Y. A simple error estimation method for linear-regression-based thermal sharpening techniques with the consideration of scale difference. Geo-spatial Information Science, 2014, 17(1), 54-59.

[29] Zhou, J., Chen, Y., Zhang, X., Zhan, W. Modelling the diurnal variations of urban heat islands with multi-source satellite data. International Journal of Remote Sensing, 2013, 34(21), 7568-7588.

[30] Chen, Z., Qin, Q., Lin, L., Liu, Q., Zhan, W. DEM Densification using perspective shape from shading through multispectral imagery. IEEE Geoscience and Remote Sensing Letters, 2013, 99, 145-149.

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Journal Reviewer

n International Journals

Advances in Space Research, Environmental Science & Technology, Frontiers of Earth Science, Geoinformatics and Geostatistics: An overview, IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, International Journal of Digital Earth, International Journal of Sustainable Society, ISPRS Journal of Photogrammetry and Remote Sensing, Journal of Applied Remote Sensing, Journal of Geophysical Research, Journal of Hydrology, Meteorology and Atmospheric Physics, Photogrammetric Engineering & Remote Sensing, Remote Sensing, Remote Sensing of Environment, Science of the Total Environment, Sustainable Cities and Society

n Chinese Journals

Journal of Nanjing University [南京大学学报], Journal of Natural Disasters [自然灾害学报], Journal of Remote Sensing [遥感学报], Remote Sensing Information [遥感信息], Scientia Meteorologica Sinica [气象科学], Spectroscopy and Spectral Analysis [光谱学与光谱分析]

 

 


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