Xiangnan Liu

发表

Wavelet-based detection of crop zinc stress assessment using hyperspectral reflectance

Meiling Liu, Xiangnan Liu, Ling Wu, 2011, Comput. Geosci..

Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress

Shuang Zhao, Ming Liu, Xiangnan Liu, 2017, Remote. Sens..

Spatial Up-Scaling Correction for Leaf Area Index Based on the Fractal Theory

Jianhua Wang, Huazhong Ren, Qiming Qin, 2016, Remote. Sens..

A novel puncturing scheme for rate-compatible low-density parity-check codes

Xiangnan Liu, Xiyuan Chen, Yongkui Ma, 2011, 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM).

An approach for heavy metal pollution detected from spatio-temporal stability of stress in rice using satellite images

Andrew K. Skidmore, Meiling Liu, Xiangnan Liu, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data

Zhi Huang, Meiling Liu, Xiangnan Liu, 2017, Sensors.

An improved assimilation method with stress factors incorporated in the WOFOST model for the efficient assessment of heavy metal stress levels in rice

Meiling Liu, Xiangnan Liu, Ling Wu, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Estimating regional heavy metal concentrations in rice by scaling up a field-scale heavy metal assessment model

Ting Li, Jonathan Li, Meiling Liu, 2012, Int. J. Appl. Earth Obs. Geoinformation.

An improved BP neural network model for estimating Cd stress in rice using remote sensing data

Feng Liu, Xiangnan Liu, Zhao Xu, 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Regional heavy metal pollution in crops by integrating physiological function variability with spatio-temporal stability using multi-temporal thermal remote sensing

Meiling Liu, Xiangnan Liu, Chao Ding, 2016, Int. J. Appl. Earth Obs. Geoinformation.

Detection of Rice Phenological Variations under Heavy Metal Stress by Means of Blended Landsat and MODIS Image Time Series

Meiling Liu, Xiangnan Liu, Biyao Zhang, 2018, Remote. Sens..

The assimilation of spectral sensing and the WOFOST model for the dynamic simulation of cadmium accumulation in rice tissues

Ping Wang, Meiling Liu, Xiangnan Liu, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Analyzing the Spatial Scaling Bias of Rice Leaf Area Index From Hyperspectral Data Using Wavelet–Fractal Technique

Meiling Liu, Xiangnan Liu, Ling Wu, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A New Vegetation Index Based on Multitemporal Sentinel-2 Images for Discriminating Heavy Metal Stress Levels in Rice

Meiling Liu, Xiangnan Liu, Gaoxiang Zhou, 2018, Sensors.

Integration of dynamic rainfall data with environmental factors to forecast debris flow using an improved GMDH model

Hui Zhang, Xiangnan Liu, Gang Huang, 2013, Comput. Geosci..

Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation

Ming Liu, Xiangnan Liu, Gaoxiang Zhou, 2019, Remote. Sens..

An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM

Xiangnan Liu, Bingyu Zhao, Mengxue Liu, 2020, Remote. Sens..

A hyperspectral index sensitive to subtle changes in the canopy chlorophyll content under arsenic stress

Meiling Liu, Xiangnan Liu, Xuqing Li, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Assessment of heavy metal stress using hyperspectral data

Ping Wang, Fang Huang, Xiangnan Liu, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Multilevel spatial semantic model for urban house information extraction automatically from QuickBird imagery

Xiangnan Liu, Li Guan, Ping Wang, 2006, Geoinformatics.

Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the LandTrendr Algorithm with Landsat Imagery

Xiangnan Liu, Ling Wu, Lihong Zhu, 2019, Remote. Sens..

Analysis of ecological resilience to evaluate the inherent maintenance capacity of a forest ecosystem using a dense Landsat time series

Xiangnan Liu, Gaoxiang Zhou, Chao Ding, 2020, Ecol. Informatics.

Evaluating total inorganic nitrogen in coastal waters through fusion of multi-temporal RADARSAT-2 and optical imagery using random forest algorithm

Meiling Liu, Xiangnan Liu, Jin Li, 2014, Int. J. Appl. Earth Obs. Geoinformation.

Distinguishing Heavy-Metal Stress Levels in Rice Using Synthetic Spectral Index Responses to Physiological Function Variations

Meiling Liu, Xiangnan Liu, Ling Wu, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Collaborative inversion heavy metal stress in rice by using two-dimensional spectral feature space based on HJ-1 A HSI and radarsat-2 SAR remote sensing data

Long Li, Xiangnan Liu, Xuqing Li, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms

Meiling Liu, Xiangnan Liu, Ling Wu, 2018, Sensors.

Downscaling of GRACE datasets based on relevance vector machine using InSAR time series to generate maps of groundwater storage changes at local scale

Xiangnan Liu, Qi Shang, Xinyu Deng, 2019 .

Evaluating Heavy-Metal Stress Levels in Rice Using a Theoretical Model of Canopy-Air Temperature and Leaf Area Index Based on Remote Sensing

Xiangnan Liu, Ming Jin, Biyao Zhang, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Phenology-Based Residual Trend Analysis of MODIS-NDVI Time Series for Assessing Human-Induced Land Degradation

Fang Huang, Xiangnan Liu, Chao Ding, 2018, Sensors.

Study on Urban House Information Extraction Automatically from Quick Bird Images based on Space Semantic Model

Ping Wang, Fang Huang, Xiangnan Liu, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Assessment of Terrestrial Ecosystem Health in the Yellow River Basin

Wenjie Wang, Xiangnan Liu, Yunfei Zhang, 2014, GRMSE.

Impact of optical preamplifier beat noise on inter-satellite coherent optical communication system

Xiangnan Liu, Liang Zhang, Yingfei Li, 2015, 2015 12th International Joint Conference on e-Business and Telecommunications (ICETE).

Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology

Meiling Liu, Xiangnan Liu, Ling Wu, 2018, Sensors.

Optimizing the Temporal Scale in the Assimilation of Remote Sensing and WOFOST Model for Dynamically Monitoring Heavy Metal Stress in Rice

Feng Liu, Xiangnan Liu, Ling Wu, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Thermal infrared imaging of the variability of canopy-air temperature difference distribution for heavy metal stress levels discrimination in rice

Xiangnan Liu, Dongmin Wang, Meiling Liu, 2017 .

Temporal Interpolation of Satellite-Derived Leaf Area Index Time Series by Introducing Spatial-Temporal Constraints for Heterogeneous Grasslands

Fang Huang, Xiangnan Liu, Chao Ding, 2017, Remote. Sens..

Remote Sensing and GIS for Identifying and Monitoring the Environmental Factors Associated with Vector-borne Disease: An Overview

Ping Wang, Xia Cui, Xiangnan Liu, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model

Zhi Huang, Xiangnan Liu, Ling Wu, 2016, Sensors.

Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model

Meiling Liu, Xiangnan Liu, Menxin Wu, 2011, Comput. Geosci..

Texture pattern analysis of main geographical objects in QuickBird imagery

Ping Wang, Fang Huang, Xiangnan Liu, 2006, Geoinformatics.

Sub-pixel mapping of urban green space using multiple endmember spectral mixture analysis of EO-1 Hyperion data

Jie Lv, Xiangnan Liu, Xiangnan Liu, 2009, 2009 Joint Urban Remote Sensing Event.

Identifying multiple stressors in regional agro-ecosystems based on sentinel-2 spectral indices time series

Andrew K. Skidmore, Meiling Liu, Xiangnan Liu, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Estimating chlorophyll content of rice under soil contamination stress using BPNN

Ping Wang, Fang Huang, Xiangnan Liu, 2010, 2010 Sixth International Conference on Natural Computation.

Overview of deep space laser communication

Zhe Zhang, Ming Chen, Xiangnan Liu, 2017, Science China Information Sciences.

A Modified Spatiotemporal Fusion Algorithm Using Phenological Information for Predicting Reflectance of Paddy Rice in Southern China

Xiangnan Liu, Ling Wu, Tian Jiang, 2018, Remote. Sens..

Combination of Crop Growth Model and Radiation Transfer Model with Remote Sensing Data Assimilation for Fapar Estimation

Ming Liu, Xiangnan Liu, Gaoxiang Zhou, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Estimating leaf chlorophyll content of rice under heavy metal stress using neural network model

Meiling Liu, Xiangnan Liu, Binqing Zhong, 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

Study on the method of colour image noise reduction based on optimal channel-processing

Xiangnan Liu, Bohan Liu, Xiaoyun Guo, 2018, IET Image Process..

Multivariable integration method for estimating sea surface salinity in coastal waters from in situ data and remotely sensed data using random forest algorithm

Meiling Liu, Xiangnan Liu, Chao Ding, 2015, Comput. Geosci..

Monitoring stress levels on rice with heavy metal pollution from hyperspectral reflectance data using wavelet-fractal analysis

Meiling Liu, Xiangnan Liu, Ling Wu, 2011, Int. J. Appl. Earth Obs. Geoinformation.

Research and implementation of high data rate full digital XPIC technique

Ming Chen, Xiangnan Liu, Jingwen Wang, 2016, 2016 15th International Conference on Optical Communications and Networks (ICOCN).

The Dynamic Assessment Model for Monitoring Cadmium Stress Levels in Rice Based on the Assimilation of Remote Sensing and the WOFOST Model

Feng Liu, Xiangnan Liu, Ling Wu, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Finding the Key Periods for Assimilating HJ-1A/B CCD Data and the WOFOST Model to Evaluate Heavy Metal Stress in Rice

Xu Qian, Shuang Zhao, Xiangnan Liu, 2018, Sensors.

Scaling Correction of Remotely Sensed Leaf Area Index for Farmland Landscape Pattern With Multitype Spatial Heterogeneities Using Fractal Dimension and Contextural Parameters

Qiming Qin, Xiangnan Liu, Ling Wu, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A random forest model for estimating Canopy Chlorophyll Content in rice using hyperspectral measurements

Xiangnan Liu, Xuqing Li, Cuicui Wang, 2013, 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Quantifying the spatiotemporal characteristics of multi-dimensional karst ecosystem stability with Landsat time series in southwest China

Xiangnan Liu, Zhi Huang, Qin Yang, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Extracting Frequent Sequential Patterns of Forest Landscape Dynamics in Fenhe River Basin, Northern China, from Landsat Time Series to Evaluate Landscape Stability

Xiangnan Liu, Qin Yang, Yue Zhang, 2021, Remote. Sens..

Developing a new disturbance index for tracking gradual change of forest ecosystems in the hilly red soil region of southern China using dense Landsat time series

Xiangnan Liu, Lu Ye, Lihong Zhu, 2021, Ecol. Informatics.

State-and-Evolution Detection Models: A Framework for Continuously Monitoring Landscape Pattern Change

Xiangnan Liu, Ling Wu, Meiling Liu, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Spectral analysis of seasonal rock and vegetation changes for detecting karst rocky desertification in southwest China

Xiangnan Liu, Ling Wu, Jie Zhang, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Long-term Landsat monitoring of mining subsidence based on spatiotemporal variations in soil moisture: A case study of Shanxi Province, China

Xiangnan Liu, Zheng Wang, Ling Wu, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Multi-Scale Spatiotemporal Change Characteristics Analysis of High-Frequency Disturbance Forest Ecosystem Based on Improved Spatiotemporal Cube Model

Xiangnan Liu, Xinyu Zou, Meiling Liu, 2021, Remote. Sens..

An autoencoder-based model for forest disturbance detection using Landsat time series data

Xiangnan Liu, Gaoxiang Zhou, Ming Liu, 2021, Int. J. Digit. Earth.

Onset of drying and dormancy in relation to water dynamics of semi-arid grasslands from MODIS NDWI

Fang Huang, Xiangnan Liu, Xinyu Zou, 2017 .

SVM Lithological Classification of PolSAR Image in Yushigou Area, Qilian Mountain

Xiangnan Liu, Yaqian Long, 2013 .

Remote examination of the seasonal succession of phytoplankton assemblages from time-varying trends.

Mingsheng Shang, Xiangnan Liu, Botian Zhou, 2019, Journal of environmental management.

The dynamic simulation of rice growth parameters under cadmium stress with the assimilation of multi-period spectral indices and crop model

Xiangnan Liu, Feng Liu, Xiangnan Liu, 2015 .

Extraction of Rice Heavy Metal Stress Signal Features Based on Long Time Series Leaf Area Index Data Using Ensemble Empirical Mode Decomposition

Xiangnan Liu, Ling Wu, Lingwen Tian, 2017, International journal of environmental research and public health.

Hyperspectral analysis of leaf copper accumulation in agronomic crop based on artificial neural network

Xiangnan Liu, Xiangnan Liu, Huiping Liang, 2008, 2008 International Workshop on Earth Observation and Remote Sensing Applications.

Distinguishing two phenotypes of blooms using the normalised difference peak-valley index (NDPI) and Cyano-Chlorophyta index (CCI).

Mingsheng Shang, Xiangnan Liu, Ling Wu, 2018, The Science of the total environment.

Artificial Neural Network and Random Forest Approaches for Modeling of Sea Surface Salinity

Xiangnan Liu, Meiling Liu, Jiale Jiang, 2013 .