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Xiaoling Chen - IEEE Xplore Author Profile
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Xiaoling Chen

Also published under: X. Chen

Publications
19
Citations
176
Publications by Year
20062021
Co-Authors:
Show All Co-Authors (43)
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Xiaoling Chen

Also published under: X. Chen

Affiliation

State Key Laboratory of Information Engineering in Surveying
Mapping and Remote Sensing
Wuhan University, Wuhan, China

Publication Topics

Biography

Xiaoling Chen received the Ph.D. degree in geography from Nanjing University, Nanjing, China, in 1997.,From February 2000 to May 2001 and from January 2002 to January 2003, she was a Senior Visiting Scholar with the Department of Civil and Structure Engineering, The Hong Kong Polytechnic University, Hong Kong. From 2008 to 2011, she was the Director of the Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang, China. From March to June 2012, she was invited to work at Ecolab, Paul Sabatier University, Toulouse, France. Since 1997, she has been working with the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, W...
Publications
19
Citations
176
Publications by Year
20062021
Co-Authors:
Show All Co-Authors (43)
Author's Published Works

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Optimization of Multi-Ecosystem Model Ensembles to Simulate Vegetation Growth at the Global Scale

Linling Tang;Qian Lei;Weizhe Liu;Xiaoling Chen;Yuan Zhang;Xiaobin Cai;Fang Chen

IEEE Transactions on Geoscience and Remote Sensing
Year: 2021 | Volume: 59, Issue: 2 | Journal Article |
Cited by: Papers (4)
Process-based ecosystem models are increasingly used to simulate the effects of a changing environment on vegetation growth in the past, present, and future. To improve the simulation, the multimodel ensemble mean (MME) and ensemble Bayesian model averaging (EBMA) methods are often used in optimizing the integration of ecosystem model ensemble. These two methods were compared with four other optim...Show More

Optimization of Multi-Ecosystem Model Ensembles to Simulate Vegetation Growth at the Global Scale

Linling Tang;Qian Lei;Weizhe Liu;Xiaoling Chen;Yuan Zhang;Xiaobin Cai;Fang Chen

Year: 2021 | Volume: 59, Issue: 2 | Journal Article |

Classification of Forest Vegetation Type Using Fused NDVI Time Series Data Based on STNLFFM

Jialin Wang;Xiaobin Cai;Xiaoling Chen;Zhan Zhang;LinLing Tang

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Year: 2019 | Conference Paper |
Cited by: Papers (3)
Forest resources play an important ecological role on the earth. The traditional forest resource inventory methods are grueling and time-consuming. It is insufficient by using single-date remote sensing data to identify the forest vegetation types. Fortunately, multitemporal images have advantages of seasonal variation pattern in different forest vegetation. Duchang County as a study case, GF-1, L...Show More

Classification of Forest Vegetation Type Using Fused NDVI Time Series Data Based on STNLFFM

Jialin Wang;Xiaobin Cai;Xiaoling Chen;Zhan Zhang;LinLing Tang

Year: 2019 | Conference Paper |

Divergence of Water Yield and Gross Ecosystem Productivity Under the Changing Vegetation Cover and Climate in the Poyang Lake Watershed

LinLing Tang;Xiaobin Cai;Xiaoling Chen;Jialin Wang

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Year: 2019 | Conference Paper |
Vegetation cover and climate are the major factors affecting water and carbon cycle and altering the ecosystem services, but their impacts on the coupling of water and carbon cycle are confounded at the watershed scale. This study aimed to quantify the impacts of vegetation cover and climate on two important parameters (gross ecosystem productivity (GEP) and water yield) in water and carbon cycle ...Show More

Divergence of Water Yield and Gross Ecosystem Productivity Under the Changing Vegetation Cover and Climate in the Poyang Lake Watershed

LinLing Tang;Xiaobin Cai;Xiaoling Chen;Jialin Wang

Year: 2019 | Conference Paper |

Has Government Water Protection Policy Taken Effect on Preventing Harmful Algal Blooms in Erhai Lake?

Zhan Zhang;Jianya Gong;Jialin Wang;Xiaoling Chen;Liqiong Chen

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Year: 2019 | Conference Paper |
As the second largest freshwater lake in Yunnan Province of China, Erhai Lake has suffered harmful algal blooms (HABs) since 1996. In January 2017, Dali government issued a series of ecological protection measures to prevent the outbreak of HABs. In order to evaluate the effectiveness of those protection measures, we studied the spatiotemporal distribution of HABs in Erhai Lake by using multi-sour...Show More

Has Government Water Protection Policy Taken Effect on Preventing Harmful Algal Blooms in Erhai Lake?

Zhan Zhang;Jianya Gong;Jialin Wang;Xiaoling Chen;Liqiong Chen

Year: 2019 | Conference Paper |

Influence of suspended particle size distribution on the variability of water optical properties of the Poyang Lake, China

Jue Huang;Liqiong Chen;Xiaoling Chen

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Year: 2015 | Conference Paper |
The suspended particle size distribution (PSD) provides crucial information for the study of water environment. Based on the in situ data from wet and dry season in 2008-2011, the paper studied the temporal and spatial characteristics of PSD in Poyang Lake and its influence on water optical properties. The median particle size (Dv50) shows more significant variation in dry season between different...Show More

Influence of suspended particle size distribution on the variability of water optical properties of the Poyang Lake, China

Jue Huang;Liqiong Chen;Xiaoling Chen

Year: 2015 | Conference Paper |

Validation of hydrodynamic model by remote sensing data for China's largest freshwater lake

Jianzhong Lu;Hengda Qi;Xiaoling Chen;Liqiong Chen;Sabine Sauvage;José-Miguel Sánchez-Pérez

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
Hydrodynamic process in the largest freshwater lake in China, Poyang Lake from 2009 to 2011 was simulated by using the lake hydrodynamic model, EFDC. Results showed that simulated daily average water elevation and discharges consisted with in-situ observations. To better evaluate the model accuracy and solve the problem of field measurements deficiency, remote sensing data were employed to validat...Show More

Validation of hydrodynamic model by remote sensing data for China's largest freshwater lake

Jianzhong Lu;Hengda Qi;Xiaoling Chen;Liqiong Chen;Sabine Sauvage;José-Miguel Sánchez-Pérez

Year: 2015 | Conference Paper |

Optimizing Remote Sensing-Based Level–Area Modeling of Large Lake Wetlands: Case Study of Poyang Lake

Xiaobin Cai;Wenxia Gan;Wei Ji;Xi Zhao;Xuelei Wang;Xiaoling Chen

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2015 | Volume: 8, Issue: 2 | Journal Article |
Cited by: Papers (13)
Remote sensing-derived level-area models have been widely used in inundation analysis of large lakes. The current study aimed to optimize the model for Poyang Lake, the largest freshwater lake in China, where the hydrological connections are highly dynamic and complex. The inundation data delineated using 217 MODIS images between 2003 and 2005 together with concurrent water level data were used to...Show More

Optimizing Remote Sensing-Based Level–Area Modeling of Large Lake Wetlands: Case Study of Poyang Lake

Xiaobin Cai;Wenxia Gan;Wei Ji;Xi Zhao;Xuelei Wang;Xiaoling Chen

Year: 2015 | Volume: 8, Issue: 2 | Journal Article |

Quantifying Contribution of Land Use Types to Nighttime Light Using an Unmixing Model

Xi Li;Linlin Ge;Xiaoling Chen

IEEE Geoscience and Remote Sensing Letters
Year: 2014 | Volume: 11, Issue: 10 | Journal Article |
Cited by: Papers (21)
In this study, a model is developed to quantify the land use contribution to nighttime light using coarse-resolution nighttime light imagery and fine-resolution land use data. We assumed that the nighttime light of a region can be represented by a linear combination of land use areas, with its nighttime light intensity (NLI) as coefficient. Based on an unmixing strategy, the NLI of each land use t...Show More

Quantifying Contribution of Land Use Types to Nighttime Light Using an Unmixing Model

Xi Li;Linlin Ge;Xiaoling Chen

Year: 2014 | Volume: 11, Issue: 10 | Journal Article |

Satellite-Observed Nighttime Light Variation as Evidence for Global Armed Conflicts

Xi Li;Fengrui Chen;Xiaoling Chen

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2013 | Volume: 6, Issue: 5 | Journal Article |
Cited by: Papers (69)
The objective of this research is to investigate the potential of nighttime light images, acquired with Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS), in evaluating global armed conflicts. To achieve this purpose, we assessed the relationship between armed conflicts and the satellite-observed nighttime light variation over 159 countries through annual composites o...Show More

Satellite-Observed Nighttime Light Variation as Evidence for Global Armed Conflicts

Xi Li;Fengrui Chen;Xiaoling Chen

Year: 2013 | Volume: 6, Issue: 5 | Journal Article |

Satellites Capture the Drought Severity Around China's Largest Freshwater Lake

Lian Feng;Chuanmin Hu;Xiaoling Chen

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2012 | Volume: 5, Issue: 4 | Journal Article |
Cited by: Papers (43)
A severe drought occurred in the region of Poyang Lake, the largest freshwater lake in China in early 2011, causing various environmental problems and posing a significant threat to local animals and humans. The event has caught extensive attention from many environmental groups as well as from national and international news media. Yet there has been no quantitative report on the severity of the ...Show More

Satellites Capture the Drought Severity Around China's Largest Freshwater Lake

Lian Feng;Chuanmin Hu;Xiaoling Chen

Year: 2012 | Volume: 5, Issue: 4 | Journal Article |

Quantification of Extensional Uncertainty of Segmented Image Objects by Random Sets

Xi Zhao;Alfred Stein;Xiaoling Chen;Xiang Zhang

IEEE Transactions on Geoscience and Remote Sensing
Year: 2011 | Volume: 49, Issue: 7 | Journal Article |
Investigations in data quality and uncertainty modeling are becoming key topics in geoinformation science. This paper models a collection of outcomes from a standard segmentation algorithm as a random set. It quantifies extensional uncertainties of extracted objects using statistical characteristics of random sets. The approach is applied to a synthetic data set and vegetation patches in the Poyan...Show More

Quantification of Extensional Uncertainty of Segmented Image Objects by Random Sets

Xi Zhao;Alfred Stein;Xiaoling Chen;Xiang Zhang

Year: 2011 | Volume: 49, Issue: 7 | Journal Article |

Exploring some issues of sub-pixel mapping based on directly spatial attraction

Jian Zhang;Xiaoling Chen;WenXia Gan;Shoujin Yin;Hao Wu

2010 IEEE International Geoscience and Remote Sensing Symposium
Year: 2010 | Conference Paper |
With pixel un-mixing, the omission of pixel caused by mixed pixel can be resolved so as to improve the classification accuracy. But the trouble is only the proportion of each end member object in one pixel which can be got through pixel un-mixing, while the spatial distribution of is uncertain. The objective of this study is to introduce the sub-pixel mapping based on spatial attraction model and ...Show More

Exploring some issues of sub-pixel mapping based on directly spatial attraction

Jian Zhang;Xiaoling Chen;WenXia Gan;Shoujin Yin;Hao Wu

Year: 2010 | Conference Paper |

Spatial interpolation of precipitation considering geographic and topographic influences - A case study in the Poyang Lake Watershed, china

Wenxia Gan;Xiaoling Chen;Xiaobin Cai;Jian Zhang;Lian Feng;Xiao Xie

2010 IEEE International Geoscience and Remote Sensing Symposium
Year: 2010 | Conference Paper |
Cited by: Papers (5)
Precipitation is important in many fields. It is meaningful and valuable to estimate the spatial distribution of precipitation. However, existing methods introduced for precipitation interpolation are not satisfactory. In this paper, geographic and topographic factors are taken into consideration and put into Cokriging method to interpolate the precipitation maps of annual precipitation in Poyang ...Show More

Spatial interpolation of precipitation considering geographic and topographic influences - A case study in the Poyang Lake Watershed, china

Wenxia Gan;Xiaoling Chen;Xiaobin Cai;Jian Zhang;Lian Feng;Xiao Xie

Year: 2010 | Conference Paper |

Remotely sensed monitoring of snow cover based on AMSR-E passive microwave brightness temperature

Hai Liu;Xiaoling Chen;Zhen Song;Xiaobing Cai;Shoujing Yin;Zhifeng Yu

2010 18th International Conference on Geoinformatics
Year: 2010 | Conference Paper |
Snow cover is one of the most widely used parameters in snow monitoring. In this paper, AMSR-E brightness temperature, land cover production and in-situ meteorological observations in Xinjiang, China were used, and the decision-tree method was introduced to monitor the snow cover. In its first step, a new snow index, NDPMSI, was proposed to classify the study area into snow cover, non-snow cover a...Show More

Remotely sensed monitoring of snow cover based on AMSR-E passive microwave brightness temperature

Hai Liu;Xiaoling Chen;Zhen Song;Xiaobing Cai;Shoujing Yin;Zhifeng Yu

Year: 2010 | Conference Paper |

Remote Sensing and GIS-Based Flood Vulnerability Assessment in Jiangxi Province in China

Ping Chen;Xiaoling Chen

2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing
Year: 2008 | Conference Paper |
Vulnerability assessment acquaints us with degree of risks in global-environmental-change context. Remote sensing (RS) and geographic information system (GIS) is seldom applied to assess comprehensive vulnerability as indispensable socioeconomic factors are hardly expressed by them. Thus we selected counties in Jiangxi Province as study area, calculated vulnerability index VI of them by aggregatin...Show More

Remote Sensing and GIS-Based Flood Vulnerability Assessment in Jiangxi Province in China

Ping Chen;Xiaoling Chen

Year: 2008 | Volume: 2 | Conference Paper |

Quantifying NDVI Cross-Scale Relationship using Spatial Autocorrelation

Xiaoling Chen;Shoujing Yin

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
Year: 2008 | Conference Paper |
The Normalized Difference Vegetation Index (NDVI) is an important parameter frequently used to characterize the land surface using remotely sensed satellite imagery. Because of the heterogeneity of the land surface, pixel-wise NDVI derived from coarse resolution sensors may induce errors or uncertainty. Several studies have investigated the spatial scale dependencies of NDVI in different approache...Show More

Quantifying NDVI Cross-Scale Relationship using Spatial Autocorrelation

Xiaoling Chen;Shoujing Yin

Year: 2008 | Volume: 3 | Conference Paper |

Application of Geo-Spatial Information Technology in the Engineering Manage of Roller Compaction Construction

Jian Zhang;Xiaoling Chen;Chen Zhong;Hao Wu;Songhe Duan

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
Year: 2008 | Conference Paper |
Cited by: Papers (4)
Geomatics is a new developed science represented by "3S" technology including communication and computer technology. It is ideally suited for engineering management, especially in the construction management of large construction projects which include a large of spatial information. In this paper, spatial information technology will be introduced to engineering management filed to construct of EG...Show More

Application of Geo-Spatial Information Technology in the Engineering Manage of Roller Compaction Construction

Jian Zhang;Xiaoling Chen;Chen Zhong;Hao Wu;Songhe Duan

Year: 2008 | Volume: 3 | Conference Paper |

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