王猛猛
基本信息Personal Information
副教授 硕士生导师
曾获荣誉 : 2021年,第二届中国数字地球大会最佳青年报告奖
2021年,优秀指导教师奖
2020年,优秀指导老师奖
2020年,中国热带作物学会科技进步二等奖(第二完成人)
2019年,首届中国数字地球大会最佳青年报告奖
2019年,《遥感技术与应用》2019年度优秀审稿专家
2019年,第七届“研究生的良师益友”
2018年,遥感科技期刊论文最具潜力奖
性别 : 男
毕业院校 : 中国科学院大学
学历 : 博士研究生
学位 : 理学博士学位
所在单位 : 地理与信息工程学院
入职时间 : 2017年07月01日
扫描关注
- [1]张兆明, 何国金, …王猛猛. 澳大利亚30m分辨率火烧迹地产品精度验证研究[J]. 环境保护科学, 2018(4).
- [2]江威, 何国金, …王猛猛. 夜光遥感在“一带一路”战略中的应用潜力展望[J]. 中国科学院大学学报, 2017(3).
- [3]吴志杰, 何国金, …王猛猛,等. 南方丘陵区植被覆盖度遥感估算的地形效应评估[J]. 遥感学报, 2017,21(1), 159-167.
- [4]吴志杰, 何国金, 王猛猛,等. 南方丘陵区植被覆盖度遥感估算与时空变化研究——以福建省永定县为例[J]. 遥感技术与应用, 2016, 31(6):1201-1208.
- [5]吴志杰, 王猛猛, 陈绍杰,等. 基于遥感生态指数的永定矿区生态变化监测与评价[J]. 生态科学, 2016(5):200-207.
- [6]Peng Y, He G … Wang M, et al. Study on atmospheric correction approach of Landsat-8 imageries based on 6S model and look-up table [J]. Journal of Applied Remote Sensing, 2016, 10(4):045006. (SCIE)
- [7]Zhang Z, He G, Wang M, et al. Validation of the generalized single-channel algorithm using Landsat 8 imagery and SURFRAD ground measurements [J]. Remote Sensing Letters, 2016, 7(8):810-816. (SCI)
- [8]Zhang Z, He G, Wang M, et al. Detecting Decadal Land Cover Changes in Mining Regions based on Satellite Remotely Sensed Imagery: A Case Study of the Stone Mining Area in Luoyuan County, SE China [J]. Photogrammetric Engineering & Remote Sensing, 2015, 81(9):745-751. (SCI)
- [9]Zhang Z, He G, Wang M, et al. Towards an operational method for land surface temperature retrieval from Landsat 8 data [J], Remote Sensing Letters, 2016, 7(3):279-288. (SCI)
- [10]Zhang, Z, He, G, … Wang, M, et al.. A coupled atmospheric and topographic correction algorithm for remotely sensed satellite imagery over mountainous terrain. GIScience & Remote Sensing, 2018, (3), 400-416. (SCIE)
- [11]Zhang, Z, Wang, C, Wang, M, et al.. Surface Deformation Monitoring in Zhengzhou City from 2014 to 2016 Using Time-Series InSAR. Remote Sensing, 2018, (11), 1731. (SCIE)
- [12]Wang M, He G, Zhang Z, et al. Estimation of Monthly Near Surface Air Temperature Using Geographically Weighted Regression in China. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018.
- [13]王猛猛,周志民,张兆明等. 基于TM数据的合肥城市热岛效应研究[J], 科学技术与工程, 2014,14(33):80-85.
- [14]王猛猛,何国金,张兆明等. 基于Landsat 8 TIRS数据的大气水汽含量反演劈窗算法[J].遥感技术与应用,2017,32(1):166-172.(在21届中国遥感大会上荣获“遥感科技期刊论文最具潜力奖”)
- [15]Wang M, He G, Zhang Z, et al. NDVI-based split-window algorithm for precipitable water vapour retrieval from Landsat-8 TIRS data over land area[J]. Remote Sensing Letters, 2015, 6(11): 904-913. (SCI)
- [16]Wang M, Zhang Z, He G, et al. An enhanced single-channel algorithm for retrieving land surface temperature from Landsat series data [J]. Journal of Geophysical Research: Atmospheres, 2016, 121(19). (NI, SCI)
- [17]Wang M, He G, Zhang Z, et al. Comparison of Spatial Interpolation and Regression Analysis Models for an Estimation of Monthly Near Surface Air Temperature in China [J]. Remote Sensing, 2017, 9(12), 1278. (SCIE)
- [18]Wang, M, He G, Ishwaran N, et al. Monitoring Vegetation Dynamics in East Rennell Island World Heritage Site Using Multi-sensor and Multi-temporal Remote Sensing Data [J], International Journal of Digital Earth, 2018, doi:10.1080/17538947.2018.1523955. (SCIE)
- [19]Wang, M, He G, Zhang Z, et al. A radiance-based split-window algorithm for land surface temperature retrieval: Theory and application to MODIS data [J], International Journal of Applied Earth Observation and Geoinformation, 2018, doi:10.1016/j.jag.2018.11.015. (SCIE)
- [20]Wang, M, Zhang Z, Hu T, et al. A Practical Single‐Channel Algorithm for Land Surface Temperature Retrieval: Application to Landsat series data [J], Journal of Geophysical Research: Atmospheres, 2018, doi:10.1029/2018JD029330. (NI, SCI)
|