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Linyi Liu
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2020 – today
- 2024
- [j17]Francesco Rossi
, Raffaele Casa
Predicting soil nutrients with PRISMA hyperspectral data at the field scale: the Handan (south of Hebei Province) test cases. Geo spatial Inf. Sci. 27(3): 870-891 (2024) - 2023
- [c3]Linyi Liu
Robotic Systems in Heritage Protection: An Anti-Fatigue Human-Robot Collaboration Exploration for Heritage Painting and Calligraphy Restoration. CSCW Companion 2023: 201-205 - 2022
- [j16]Yingxin Xiao, Yingying Dong, Wenjiang Huang, Linyi Liu:
Regional prediction of Fusarium head blight occurrence in wheat with remote sensing based Susceptible-Exposed-Infectious-Removed model. Int. J. Appl. Earth Obs. Geoinformation 114: 103043 (2022) - [j15]Lu Li, Yingying Dong, Yingxin Xiao, Linyi Liu
Combining Disease Mechanism and Machine Learning to Predict Wheat Fusarium Head Blight. Remote. Sens. 14(12): 2732 (2022) - 2021
- [j14]Yingxin Xiao, Yingying Dong, Wenjiang Huang, Linyi Liu, Huiqin Ma
Wheat Fusarium Head Blight Detection Using UAV-Based Spectral and Texture Features in Optimal Window Size. Remote. Sens. 13(13): 2437 (2021) - [j13]Stefano Pignatti
Sino-EU Earth Observation Data to Support the Monitoring and Management of Agricultural Resources. Remote. Sens. 13(15): 2889 (2021) - [j12]Huiqin Ma
Using UAV-Based Hyperspectral Imagery to Detect Winter Wheat Fusarium Head Blight. Remote. Sens. 13(15): 3024 (2021) - 2020
- [j11]Linyi Liu
A Disease Index for Efficiently Detecting Wheat Fusarium Head Blight Using Sentinel-2 Multispectral Imagery. IEEE Access 8: 52181-52191 (2020) - [j10]Yingxin Xiao, Yingying Dong
Dynamic Remote Sensing Prediction for Wheat Fusarium Head Blight by Combining Host and Habitat Conditions. Remote. Sens. 12(18): 3046 (2020) - [j9]Linyi Liu, Yingying Dong, Wenjiang Huang, Xiaoping Du
Monitoring Wheat Fusarium Head Blight Using Unmanned Aerial Vehicle Hyperspectral Imagery. Remote. Sens. 12(22): 3811 (2020) - [j8]Huiqin Ma
Identification of Fusarium Head Blight in Winter Wheat Ears Using Continuous Wavelet Analysis. Sensors 20(1): 20 (2020) - [j7]Yingying Dong
Automatic System for Crop Pest and Disease Dynamic Monitoring and Early Forecasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4410-4418 (2020)
2010 – 2019
- 2019
- [j6]Linyi Liu
Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer Learning Method. Remote. Sens. 11(3): 298 (2019) - [j5]Huiqin Ma
Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery. Remote. Sens. 11(7): 846 (2019) - [j4]Qiong Zheng, Wenjiang Huang
Identification of Wheat Yellow Rust Using Optimal Three-Band Spectral Indices in Different Growth Stages. Sensors 19(1): 35 (2019) - [c2]Yingying Dong, Fang Xu, Linyi Liu, Xiaoping Du, Huichun Ye, Wenjiang Huang, Yining Zhu:
Monitoring and forecasting for disease and pest in crop based on WebGIS system. Agro-Geoinformatics 2019: 1-5 - 2018
- [j3]Yue Shi
Wavelet-Based Rust Spectral Feature Set (WRSFs): A Novel Spectral Feature Set Based on Continuous Wavelet Transformation for Tracking Progressive Host-Pathogen Interaction of Yellow Rust on Wheat. Remote. Sens. 10(4): 525 (2018) - [j2]Qiong Zheng, Wenjiang Huang
New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery. Sensors 18(3): 868 (2018) - [j1]Huiqin Ma
Integrating Early Growth Information to Monitor Winter Wheat Powdery Mildew Using Multi-Temporal Landsat-8 Imagery. Sensors 18(10): 3290 (2018) - 2017
- [c1]Liwei Li, Yixin Wu, Xianfeng Zhou, Linyi Liu, Yunxia Wei, Dailiang Peng, Liping Lei, Wenjiang Huang, Bing Zhang:
Analysis of change detection algorithms with Landsat-8 data on landslide mapping in the Kaikoura earthquake. IGARSS 2017: 1950-1953
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