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Ling Wu 0004
Person information
- affiliation (PhD 2013): China University of Geoscience (Beijing), School of Information Engineering, China
Other persons with the same name
- Ling Wu — disambiguation page
- Ling Wu 0001 — SEI/IRESTE, Nantes, France
- Ling Wu 0002 — Memorial University of Newfoundland, Saint John's, Canada
- Ling Wu 0003 — Naval University of Engineering, College of Weapon Engineering, Wuhan, China (and 1 more)
- Ling Wu 0005
— Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China
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2020 – today
- 2024
[j34]Yiman Li, Xiangnan Liu, Meiling Liu, Ling Wu, Lihong Zhu, Zhi Huang, Xiaojing Xue, Lingwen Tian:
Historical Dynamic Mapping of Eucalyptus Plantations in Guangxi during 1990-2019 Based on Sliding-Time-Window Change Detection Using Dense Landsat Time-Series Data. Remote. Sens. 16(5): 744 (2024)
[j33]Yuxin Zhao, Zeyu Cui, Xiangnan Liu, Meiling Liu, Ben Yang, Lei Feng, Botian Zhou, Tingwei Zhang, Zheng Tan, Ling Wu:
EWMACD Algorithm in Early Detection of Defoliation Caused by Dendrolimus tabulaeformis Tsai et Liu. Remote. Sens. 16(13): 2299 (2024)
[j32]Shuyu Wang
, Meiling Liu
, Yiman Li, Ling Wu
, Botian Zhou, Lingwen Tian
:
Spatiotemporal Cube Model Based on Stress Features for Identification of Heavy Metal Stress in Rice. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024)
[j31]Yuqi Xu, Ling Wu
, Xiangnan Liu
, Chen Chen, Yiman Li, Qian Zhang
, Meiling Liu
, Tingwei Zhang, Baowen Yang
:
Remote Sensing Change Detection Method Based on Dynamic Adaptive Focal Loss. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024)- 2023
[j30]Jiaqi Zhao, Baiyi Zong, Ling Wu
:
Site Selection Prediction for Coffee Shops Based on Multi-Source Space Data Using Machine Learning Techniques. ISPRS Int. J. Geo Inf. 12(8): 329 (2023)
[j29]Baowen Yang
, Ling Wu
, Zhengshan Ju, Xiangnan Liu
, Meiling Liu
, Tingwei Zhang, Yuqi Xu:
Sub-Annual Scale LandTrendr: Sub-Annual Scale Deforestation Detection Algorithm Using Multi-Source Time Series Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8563-8576 (2023)- 2022
[j28]Meiling Liu
, Xiangnan Liu
, Ling Wu
, Tao Peng, Qian Zhang
, Xinyu Zou, Lingwen Tian
, Xuan Wang:
Hybrid Spatiotemporal Graph Convolutional Network for Detecting Landscape Pattern Evolution From Long-Term Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
[j27]Tao Peng, Meiling Liu
, Xiangnan Liu
, Qian Zhang
, Ling Wu
, Xinyu Zou:
Reconstruction of Optical Image Time Series With Unequal Lengths SAR Based on Improved Sequence-Sequence Model. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022)
[j26]Lingwen Tian
, Xiangnan Liu
, Meiling Liu, Ling Wu
:
State-and-Evolution Detection Models: A Framework for Continuously Monitoring Landscape Pattern Change. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
[j25]Ling Wu
, Xiangnan Liu
, Meiling Liu, Jinghui Yang
, Lihong Zhu, Botian Zhou:
Online Forest Disturbance Detection at the Sub-Annual Scale Using Spatial Context From Sparse Landsat Time Series. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)- 2021
[j24]Jie Zhang
, Meiling Liu, Xiangnan Liu, Weiqun Luo, Ling Wu, Lihong Zhu:
Spectral analysis of seasonal rock and vegetation changes for detecting karst rocky desertification in southwest China. Int. J. Appl. Earth Obs. Geoinformation 100: 102337 (2021)
[j23]Zhiyu Yi, Meiling Liu, Xiangnan Liu, Yuebin Wang, Ling Wu, Zheng Wang, Lihong Zhu:
Long-term Landsat monitoring of mining subsidence based on spatiotemporal variations in soil moisture: A case study of Shanxi Province, China. Int. J. Appl. Earth Obs. Geoinformation 102: 102447 (2021)- 2020
[j22]Bingyu Zhao
, Meiling Liu, Jianjun Wu, Xiangnan Liu, Mengxue Liu, Ling Wu
:
Parallel Computing for Obtaining Regional Scale Rice Growth Conditions Based on WOFOST and Satellite Images. IEEE Access 8: 223675-223685 (2020)
[j21]Ling Wu
, Zhaoliang Li, Xiangnan Liu, Lihong Zhu, Yibo Tang, Biyao Zhang
, Boliang Xu, Meiling Liu, Yuanyuan Meng, Boyuan Liu:
Multi-Type Forest Change Detection Using BFAST and Monthly Landsat Time Series for Monitoring Spatiotemporal Dynamics of Forests in Subtropical Wetland. Remote. Sens. 12(2): 341 (2020)
[j20]Mengxue Liu, Xiangnan Liu, Xiaobin Dong, Bingyu Zhao, Xinyu Zou
, Ling Wu, Hejie Wei:
An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM. Remote. Sens. 12(21): 3673 (2020)
2010 – 2019
- 2019
[j19]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)
[j18]Lihong Zhu, Xiangnan Liu, Ling Wu
, Yibo Tang
, Yuanyuan Meng:
Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the LandTrendr Algorithm with Landsat Imagery. Remote. Sens. 11(10): 1234 (2019)- 2018
[j17]Tian Jiang, Xiangnan Liu, Ling Wu
:
Method for Mapping Rice Fields in Complex Landscape Areas Based on Pre-Trained Convolutional Neural Network from HJ-1 A/B Data. ISPRS Int. J. Geo Inf. 7(11): 418 (2018)
[j16]Mengxue Liu, Xiangnan Liu, Ling Wu
, Xinyu Zou
, Tian Jiang, Bingyu Zhao:
A Modified Spatiotemporal Fusion Algorithm Using Phenological Information for Predicting Reflectance of Paddy Rice in Southern China. Remote. Sens. 10(5): 772 (2018)
[j15]Tianjiao Liu, Xiangnan Liu, Meiling Liu, Ling Wu:
Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology. Sensors 18(3): 860 (2018)
[j14]Tianjiao Liu, Xiangnan Liu, Meiling Liu, Ling Wu:
Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms. Sensors 18(12): 4425 (2018)
[j13]Ling Wu
, Xiangnan Liu, Qiming Qin, Bingyu Zhao, Yujia Ma, Mengxue Liu, Tian Jiang:
Scaling Correction of Remotely Sensed Leaf Area Index for Farmland Landscape Pattern With Multitype Spatial Heterogeneities Using Fractal Dimension and Contextural Parameters. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(5): 1472-1481 (2018)- 2017
[j12]Gaoxiang Zhou
, Xiangnan Liu, Shuang Zhao, Ming Liu
, Ling Wu:
Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress. Remote. Sens. 9(5): 424 (2017)
[j11]Shuyuan Liu, Xiangnan Liu, Meiling Liu, Ling Wu, Chao Ding, Zhi Huang:
Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data. Sensors 17(6): 1243 (2017)
[j10]Ming Jin, Xiangnan Liu, Ling Wu, Meiling Liu:
Distinguishing Heavy-Metal Stress Levels in Rice Using Synthetic Spectral Index Responses to Physiological Function Variations. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 75-86 (2017)- 2016
[j9]Ling Wu
, Qiming Qin, Xiangnan Liu, Huazhong Ren
, Jianhua Wang, Xiao Po Zheng, Xin Ye, Yuejun Sun:
Spatial Up-Scaling Correction for Leaf Area Index Based on the Fractal Theory. Remote. Sens. 8(3): 197 (2016)
[j8]Zhi Huang, Xiangnan Liu, Ming Jin, Chao Ding, Jiale Jiang
, Ling Wu:
Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model. Sensors 16(3): 340 (2016)
[j7]Feng Liu
, Xiangnan Liu, Ling Wu, Zhao Xu, Lu Gong:
Optimizing the Temporal Scale in the Assimilation of Remote Sensing and WOFOST Model for Dynamically Monitoring Heavy Metal Stress in Rice. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(4): 1685-1695 (2016)- 2015
[j6]Ming Jin, Xiangnan Liu, Ling Wu, Meiling Liu:
An improved assimilation method with stress factors incorporated in the WOFOST model for the efficient assessment of heavy metal stress levels in rice. Int. J. Appl. Earth Obs. Geoinformation 41: 118-129 (2015)
[j5]Feng Liu
, Xiangnan Liu, Liting Zhao, Chao Ding, Jiale Jiang
, Ling Wu:
The Dynamic Assessment Model for Monitoring Cadmium Stress Levels in Rice Based on the Assimilation of Remote Sensing and the WOFOST Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(3): 1330-1338 (2015)
[j4]Jiale Jiang
, Xiangnan Liu, Chuanhao Liu, Ling Wu, Xiaopeng Xia, Meiling Liu, Zhihong Du:
Analyzing the Spatial Scaling Bias of Rice Leaf Area Index From Hyperspectral Data Using Wavelet-Fractal Technique. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3068-3080 (2015)
[c1]Xiao Po Zheng, Huazhong Ren, Qiming Qin, Ling Wu, Zhongling Gao, Yuejun Sun, Jianhua Wang, Xin Ye:
Retrieval of canopy water content using a new spectral area index method. IGARSS 2015: 3333-3336- 2013
[j3]Ling Wu
, Xiangnan Liu, Ping Wang, Botian Zhou, Meiling Liu, Xuqing Li:
The assimilation of spectral sensing and the WOFOST model for the dynamic simulation of cadmium accumulation in rice tissues. Int. J. Appl. Earth Obs. Geoinformation 25: 66-75 (2013)- 2011
[j2]Meiling Liu, Xiangnan Liu, Weicui Ding
, Ling Wu:
Monitoring stress levels on rice with heavy metal pollution from hyperspectral reflectance data using wavelet-fractal analysis. Int. J. Appl. Earth Obs. Geoinformation 13(2): 246-255 (2011)
[j1]Meiling Liu, Xiangnan Liu, Ling Wu, Liqing Duan, Binqing Zhong:
Wavelet-based detection of crop zinc stress assessment using hyperspectral reflectance. Comput. Geosci. 37(9): 1254-1263 (2011)
Coauthor Index

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