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ORCIDTiejun Wang 0003
Person information
- affiliation: University of Twente, Enschede, The Netherlands
Other persons with the same name
- Tiejun Wang — disambiguation page
- Tie-Jun Wang 0001
![[0000-0003-3312-4563]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3312-4563")
(aka: Tiejun Wang 0001) — Beijing University of Posts and Telecommunications, China - Tiejun Wang 0002 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Tiejun Wang 0004 — Northwest University for Nationalities, Lanzhou, China
- Tiejun Wang 0005 — Northwest Minzu University, Lanzhou, China
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2020 – today
- 2024
[j36]Zeyu Xu, Tiejun Wang, Andrew K. Skidmore, Richard Lamprey:
A review of deep learning techniques for detecting animals in aerial and satellite images. Int. J. Appl. Earth Obs. Geoinformation 128: 103732 (2024)- [j35]Xiao Zhu, Tiejun Wang, Andrew K. Skidmore, Stephen J. Lee, Isla Duporge:
Mitigating terrain shadows in very high-resolution satellite imagery for accurate evergreen conifer detection using bi-temporal image fusion. Int. J. Appl. Earth Obs. Geoinformation 134: 104244 (2024) - [j34]Hui Sun, Xu Ma, Ying Liu, Guiyun Zhou, Jianli Ding, Lei Lu, Tiejun Wang, Qiuli Yang, Qingtai Shu, Fei Zhang:
A New Multiangle Method for Estimating Fractional Biocrust Coverage From Sentinel-2 Data in Arid Areas. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [j33]Yi Xu, Tiejun Wang, Andrew K. Skidmore, Tawanda W. Gara:
A Novel Approach to Match Individual Trees between Aerial Photographs and Airborne LiDAR Data. Remote. Sens. 15(17): 4128 (2023) - [j32]Jinxiang Liu, Tiejun Wang, Andrew K. Skidmore, Yaqin Sun, Peng Jia, Kefei Zhang:
Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery. Remote. Sens. 15(19): 4797 (2023) - [j31]Xu Ma, Jianli Ding, Tiejun Wang, Lei Lu, Hui Sun, Fei Zhang, Xiao Cheng, Ilyas Nurmemet:
A Pixel Dichotomy Coupled Linear Kernel-Driven Model for Estimating Fractional Vegetation Cover in Arid Areas From High-Spatial-Resolution Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - 2022
- [j30]Yi-Wei Zhang, Tiejun Wang, Yanpei Guo, Andrew K. Skidmore, Zhenhua Zhang, Rong Tang, Shanshan Song, Zhiyao Tang:
Estimating Community-Level Plant Functional Traits in a Species-Rich Alpine Meadow Using UAV Image Spectroscopy. Remote. Sens. 14(14): 3399 (2022) - 2021
- [j29]Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Stefanie Holzwarth, Uta Heiden, Marco Heurich:
Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest. Int. J. Appl. Earth Obs. Geoinformation 98: 102311 (2021) - [j28]Xin Zong, Tiejun Wang, Andrew K. Skidmore, Marco Heurich:
Estimating fine-scale visibility in a temperate forest landscape using airborne laser scanning. Int. J. Appl. Earth Obs. Geoinformation 103: 102478 (2021) - [j27]Jing Liu, Longhui Li, Markku Åkerblom, Tiejun Wang, Andrew K. Skidmore, Xi Zhu, Marco Heurich:
Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests. Remote. Sens. 13(16): 3325 (2021) - [j26]Fangyuan Yu, Tawanda W. Gara, Juyu Lian, Wanhui Ye, Jian Shen, Tiejun Wang, Zhifeng Wu, Junjie Wang:
Understanding the Impact of Vertical Canopy Position on Leaf Spectra and Traits in an Evergreen Broadleaved Forest. Remote. Sens. 13(24): 5057 (2021) - 2020
- [j25]Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Marco Heurich:
Improving LiDAR-based tree species mapping in Central European mixed forests using multi-temporal digital aerial colour-infrared photographs. Int. J. Appl. Earth Obs. Geoinformation 84 (2020) - [j24]Xu Ma, Tiejun Wang, Lei Lu:
A Refined Four-Stream Radiative Transfer Model for Row-Planted Crops. Remote. Sens. 12(8): 1290 (2020)
2010 – 2019
- 2019
- [j23]Xi Zhu, Andrew K. Skidmore, Roshanak Darvishzadeh, Tiejun Wang:
Estimation of forest leaf water content through inversion of a radiative transfer model from LiDAR and hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation 74: 120-129 (2019) - [j22]Roshanak Darvishzadeh, Andrew K. Skidmore, Haidi Abdullah, Elias Cherenet, Abebe Mohammed Ali, Tiejun Wang, Willem Nieuwenhuis, Marco Heurich, Anton Vrieling, Brian O'Connor, Marc Paganini:
Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model. Int. J. Appl. Earth Obs. Geoinformation 79: 58-70 (2019) - [j21]Meiling Liu, Andrew K. Skidmore, Tiejun Wang, Xiangnan Liu, Ling Wu, Lingwen Tian:
An approach for heavy metal pollution detected from spatio-temporal stability of stress in rice using satellite images. Int. J. Appl. Earth Obs. Geoinformation 80: 230-239 (2019) - [j20]Tawanda W. Gara, Roshanak Darvishzadeh, Andrew K. Skidmore, Tiejun Wang, Marco Heurich:
Evaluating the performance of PROSPECT in the retrieval of leaf traits across canopy throughout the growing season. Int. J. Appl. Earth Obs. Geoinformation 83 (2019) - [j19]Wuming Zhang, Peng Wan, Tiejun Wang, Shangshu Cai, Yiming Chen, Xiuliang Jin, Guangjian Yan:
A Novel Approach for the Detection of Standing Tree Stems from Plot-Level Terrestrial Laser Scanning Data. Remote. Sens. 11(2): 211 (2019) - [j18]Roshanak Darvishzadeh, Tiejun Wang, Andrew K. Skidmore, Anton Vrieling, Brian O'Connor, Tawanda W. Gara, Bruno J. Ens, Marc Paganini:
Analysis of Sentinel-2 and RapidEye for Retrieval of Leaf Area Index in a Saltmarsh Using a Radiative Transfer Model. Remote. Sens. 11(6): 671 (2019) - 2018
- [j17]Xi Zhu, Andrew K. Skidmore, Roshanak Darvishzadeh, K. Olaf Niemann, Jing Liu, Yifang Shi, Tiejun Wang:
Foliar and woody materials discriminated using terrestrial LiDAR in a mixed natural forest. Int. J. Appl. Earth Obs. Geoinformation 64: 43-50 (2018) - [j16]Linlin Li, Anton Vrieling, Andrew K. Skidmore, Tiejun Wang, Eren Turak:
Monitoring the dynamics of surface water fraction from MODIS time series in a Mediterranean environment. Int. J. Appl. Earth Obs. Geoinformation 66: 135-145 (2018) - [j15]Yifang Shi, Andrew K. Skidmore, Tiejun Wang, Stefanie Holzwarth, Uta Heiden, Nicole Pinnel, Xi Zhu, Marco Heurich:
Tree species classification using plant functional traits from LiDAR and hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation 73: 207-219 (2018) - [j14]Parinaz Rashidi, Andrew K. Skidmore, Tiejun Wang, Roshanak Darvishzadeh, Shadrack Ngene, Anton Vrieling:
Assessing trends and seasonal changes in elephant poaching risk at the small area level using spatio-temporal Bayesian modeling. Int. J. Geogr. Inf. Sci. 32(3): 622-636 (2018) - [j13]Tawanda W. Gara, Roshanak Darvishzadeh, Andrew K. Skidmore, Tiejun Wang:
Impact of Vertical Canopy Position on Leaf Spectral Properties and Traits across Multiple Species. Remote. Sens. 10(2): 346 (2018) - [j12]Lei Lu, Tingjun Zhang, Tiejun Wang, Xiaoming Zhou:
Evaluation of Collection-6 MODIS Land Surface Temperature Product Using Multi-Year Ground Measurements in an Arid Area of Northwest China. Remote. Sens. 10(11): 1852 (2018) - [c3]Tiejun Wang, Yansha Luo, Yiwen Sun, Xinhui Liu:
Mapping Plant Communities in the Intertidal Zones Using Sentinel-2 and Sentinel-L Data. IGARSS 2018: 8381-8384 - [c2]Jing Liu, Andrew K. Skidmore, Tiejun Wang, Xi Zhu, Joe Premier, Marco Heurich, Burkhard Beudert:
Measuring Leaf Angle Distribution Using Terrestrial Laser Scanning in a European Beech Forest. IGARSS 2018: 8977-8980 - [c1]Meiling Liu, Xiangnan Liu, Yuanyuan Meng, Andrew K. Skidmore, Tiejun Wang:
Identifying multiple stressors in regional agro-ecosystems based on sentinel-2 spectral indices time series. IGARSS 2018: 9335-9338 - 2017
- [j11]Zhihui Wang, Andrew K. Skidmore, Tiejun Wang, Roshanak Darvishzadeh, Uta Heiden, Marco Heurich, Hooman Latifi, John Hearne:
Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects. Int. J. Appl. Earth Obs. Geoinformation 54: 84-94 (2017) - [j10]Anton Vrieling, Andrew K. Skidmore, Tiejun Wang, Michele Meroni, Bruno J. Ens, Kees Oosterbeek, Brian O'Connor, Roshanak Darvishzadeh, Marco Heurich, Anita Shepherd, Marc Paganini:
Spatially detailed retrievals of spring phenology from single-season high-resolution image time series. Int. J. Appl. Earth Obs. Geoinformation 59: 19-30 (2017) - [j9]Fangyuan Yu, Thomas A. Groen, Tiejun Wang, Andrew K. Skidmore, Jihong Huang, Ke-Ping Ma:
Climatic niche breadth can explain variation in geographical range size of alpine and subalpine plants. Int. J. Geogr. Inf. Sci. 31(1) (2017) - [j8]Haotian You, Tiejun Wang, Andrew K. Skidmore, Yanqiu Xing:
Quantifying the Effects of Normalisation of Airborne LiDAR Intensity on Coniferous Forest Leaf Area Index Estimations. Remote. Sens. 9(2): 163 (2017) - [j7]Yifei Xue, Tiejun Wang, Andrew K. Skidmore:
Automatic Counting of Large Mammals from Very High Resolution Panchromatic Satellite Imagery. Remote. Sens. 9(9): 878 (2017) - 2016
- [j6]Zhihui Wang, Tiejun Wang, Roshanak Darvishzadeh, Andrew K. Skidmore, Simon D. Jones, Lola Suárez, William Woodgate, Uta Heiden, Marco Heurich, John W. Hearne:
Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest. Remote. Sens. 8(6): 491 (2016) - 2015
- [j5]Junjie Wang, Tiejun Wang, Andrew K. Skidmore, Tiezhu Shi, Guofeng Wu:
Evaluating Different Methods for Grass Nutrient Estimation from Canopy Hyperspectral Reflectance. Remote. Sens. 7(5): 5901-5917 (2015) - [j4]Junjie Wang, Tiejun Wang, Tiezhu Shi, Guofeng Wu, Andrew K. Skidmore:
A Wavelet-Based Area Parameter for Indirectly Estimating Copper Concentration in Carex Leaves from Canopy Reflectance. Remote. Sens. 7(11): 15340-15360 (2015) - [j3]Zhihui Wang, Andrew K. Skidmore, Roshanak Darvishzadeh, Uta Heiden, Marco Heurich, Tiejun Wang:
Leaf Nitrogen Content Indirectly Estimated by Leaf Traits Derived From the PROSPECT Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3172-3182 (2015) - 2014
- [j2]Maitreyi Sur, Andrew K. Skidmore, Klaus-Michael Exo, Tiejun Wang, Bruno J. Ens, A. G. Toxopeus:
Change detection in animal movement using discrete wavelet analysis. Ecol. Informatics 20: 47-57 (2014) - 2011
- [j1]Lei Lu, Valentijn Venus, Andrew K. Skidmore, Tiejun Wang, Geping Luo:
Estimating land-surface temperature under clouds using MSG/SEVIRI observations. Int. J. Appl. Earth Obs. Geoinformation 13(2): 265-276 (2011)
Coauthor Index
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