Linlin Lu

Aerospace Information Research Institute

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Qingting Li

Chinese Academy of Sciences

Huadong Guo

Chinese Academy of Sciences

Aqil Tariq

Mississippi State University

Martino Pesaresi

Joint Research Centre

Cuizhen Wang

Xinxiang Medical University

Qihao Weng

Beijing Forestry University

Shisong Cao

Beijing University of Civil Engineering and Architecture

Muhammad Fahad Baqa

University of Chinese Academy of Sciences

Daniele Ehrlich

Joint Research Centre

Chaoyang Wu

Institute of Geographic Sciences and Natural Resources Research

Cooperative Institutions

Chinese Academy of Sciences

115

University of Chinese Academy of Sciences

Aerospace Information Research Institute

Institute of Remote Sensing and Digital Earth

Beijing Institute of Big Data Research

Joint Research Centre

History of Science Society

Wuhan University

Harvard University

State Key Laboratory of Remote Sensing Science

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Energy crop mapping with enhanced TM/MODIS time series in the BCAP agricultural lands

ISPRS Journal of Photogrammetry and Remote Sensing (2017)

Cuizhen Wang Qian Fan Qingting Li William M. SooHoo Linlin Lu

Land Cover

Agricultural land

10.1016/j.isprsjprs.2016.12.002

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Citations (28)

Characterization of the 2014 Indus River Flood Using Hydraulic Simulations and Satellite Images

Remote Sensing (2021)

Aqil Tariq Hong Shu Alban Kuriqi Saima Siddiqui Alexandre S. Gagnon

Rivers play an essential role to humans and ecosystems, but they also burst their banks during floods, often causing extensive damage to crop, property, and loss of lives. This paper characterizes the 2014 flood of the Indus River in Pakistan using the US Army Corps of Engineers Hydrologic Engineering Centre River Analysis System (HEC-RAS) model, integrated into a geographic information system (GIS) and satellite images from Landsat-8. The model is used to estimate the spatial extent of the flood and assess the damage that it caused by examining changes to the different land-use/land-cover (LULC) types of the river basin. Extreme flows for different return periods were estimated using a flood frequency analysis using a log-Pearson III distribution, which the Kolmogorov–Smirnov (KS) test identified as the best distribution to characterize the flow regime of the Indus River at Taunsa Barrage. The output of the flood frequency analysis was then incorporated into the HEC-RAS model to determine the spatial extent of the 2014 flood, with the accuracy of this modelling approach assessed using images from the Moderate Resolution Imaging Spectroradiometer (MODIS). The results show that a supervised classification of the Landsat images was able to identify the LULC types of the study region with a high degree of accuracy, and that the most affected LULC was crop/agricultural land, of which 50% was affected by the 2014 flood. Finally, the hydraulic simulation of extent of the 2014 flood was found to visually compare very well with the MODIS image, and the surface area of floods of different return periods was calculated. This paper provides further evidence of the benefit of using a hydrological model and satellite images for flood mapping and for flood damage assessment to inform the development of risk mitigation strategies.

Indus

Moderate-resolution imaging spectroradiometer

Land Cover

10.3390/rs13112053

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Citations (48)

The Recognition of Altered Rock Based on Spectral Modeling and Matching Using Hyperspectral Data

Qingting Li Linlin Lu Bing Zhang Qizhong Lin

In this paper, we focused on the alunite alteration recognition which was characteristic of hydrothermal alteration zones in the study area of Cuprite mining area in southwestern of Nevada. Two solutions were practiced to improve the alteration recognition precision and reliability. One is the modeling of object reflectance spectra with the combination of linear and nonlinear model, which was taken as reference spectra instead of the mineral spectra from spectral library, another is the fusion of the information extraction methods including spectral characteristic analysis and spectral matching by the weights decision function. Several rule images were obtained in which each pixel representing the similarity between the corresponding pixel in the hyperspectral image to a reference spectra. An alteration map with improved precision was created after weights decision processing.

Alunite

Cuprite

10.1109/rsete.2012.6260782

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Research on the lakes change in Ejin alluvial fan from long time-series landsat images

Lu Zhang Huadong Guo Xinyuan Wang Xinwu Li Linlin Lu

Inland lakes in the arid and semi-arid areas are sensitive to the climate change and human activities, The long time-series remote sensing data, with a capability to provide valuable information of the distribution and changes of inland water bodies, have become an effective tool for lake study. In this paper, the lakes in Ejin alluvial fan, located in a typical arid region in the west of Inner Mongolia, China, are chosen as study lakes. Twenty years period TM data are used to obtain the long time-series and continental information of the lake change from 1987 to 2008. Climate data and hydrological data are also collected for correlational study. The results show that 1) in latest 20 years, the total area of the studied lakes in Ejin alluvial fan reduced firstly then increased after 2000. 2) The area changes of the four lakes are different. 3) Both the environmental change and the man-kind factors are the drivers of the lake change in Ejin alluvial fan. The latter might exert a main influence.

Alluvial fan

Alluvial plain

Environmental change

10.1109/igarss.2010.5649446

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Citations (1)

Monitoring urbanization dynamics in the Southeast U.S. using DMSP/OLS nightlight time series

Linlin Lu

The Southeast U.S. is listed one of the fastest growing regions by the Census Bureau. The Defense Meteorological Satellite Program (DMSP)'s Operational Line-scan System (OLS) nighttime light (NTL) imagery offers a good opportunity for characterizing the extent and dynamics of urban development at global and regional scales. However, their ability to characterize inter-urban variation is limited due to saturation of the data values. In this study, we propose a novel approach to extract urban areas based on Vegetation Adjusted NTL Urban Index (VANUI) which integrates the NTL and optical reflectance data. The built-up areas were detected for major metropolitan areas in the Southeast U.S. Using the National Land Cover Database (NLCD) products of percent imperviousness (2001, 2006, and 2010) as reference data, accuracy assessment indicated that our approach achieved satisfactory results. Based on these results, the spatiotemporal patterns of urbanization in the U.S. Southeast region were analyzed.

Land Cover

10.1109/igarss.2016.7730898

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Citations (2)

Building damage assessment with VHR images and comparative analysis for Yushu Earthquake, China

Disaster Advances (2013)

Linlin Lu Huadong Guo Christina Corbane

In the aftermath of a disaster, one urgent need is to estimate the degree of structural damage to physical infrastructure with adequate reliability and rapidity. The new generation of very high-resolution imagery (VHR, with a spatial resolution of 1 m or less), if acquired after an earthquake, can be used to assess structural damage at the building level. This paper presents the experience of post-earthquake building damage assessment for the Yushu earthquake using VHR imagery by three organizations: the Center for Earth Observation and Digital Earth, Chinese Academy of Sciences (CEODE), the German Aerospace Center (DLR) and the Joint Research Center, European Commission (JRC). The data sources and methodologies employed for building damage evaluation are presented. To assess the reliability of these sources and methodologies, damage assessment maps produced are compared. The intercomparision results indicate that damage assessment maps based on satellite VHR data are capable of capturing the damage distribution. However, these maps are not suitable for providing accurate information on the damage intensity as the results tend to be underestimated in areas where the damage is moderate and overestimated in areas with Language: en

Digital Earth

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Monitoring Land Use Changes in the Yellow River Delta Using Multi-Temporal Remote Sensing Data and Machine Learning from 2000 to 2020

Remote Sensing (2024)

Yunyang Zhu Linlin Lu Zilu Li Shiqing Wang Yu Yao

The Yellow River Delta (YRD), known for its vast and diverse wetland ecosystem, is the largest estuarine delta in China. However, human activities and climate change have significantly degraded the wetland ecosystem in recent decades in the YRD. Therefore, an understanding of the land use modifications is essential for the efficient management and preservation of ecosystems in this region. This study utilized time series of remote sensing data and the extreme gradient boosting method to generate land use maps of the YRD from 2000 to 2020. Several methods, including transition matrix, land use dynamic degree, and standard deviation ellipse, were employed to explore the characteristics of land use transitions. The results underscore significant spatial variations in land use over the past two decades. The most rapid increase was observed in built-up area, followed by terrestrial water and tidal flats, while unutilized land experienced the fastest decrease, followed by forest–grassland. The spatial distribution patterns of agricultural land, built-up area, terrestrial water, and forest–grassland demonstrated stronger directionality compared to other land use types. The wetlands have expanded in size and improved in structure. Unutilized land has been converted into artificial wetlands comprising ponds, reservoirs, salt ponds, shrimp and crab ponds, and natural wetlands featuring mudflats and forest–grassland. The wetland conservation efforts after 2008 have proven very effective, playing a positive role in ecological and environmental preservation, as well as in regional sustainable development.

River delta

10.3390/rs16111946

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Citations (9)

Epidemiological study of occupational stress prevalence in nurses of different ages and length of service.

Yu JieGen Rong Li Linlin Lu Kuang Xia He Lianping

Occupational Stress

Service worker

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Triplex molecular beacons for sensitive recognition of melamine based on abasic-site-containing DNA and fluorescent silver nanoclusters

Chemical Communications (2015)

Yaquan Wang Qianqian Sun Linling Zhu Junying Zhang Fengyang Wang

A label-free and turn-on strategy based on a triplex molecular beacon for fluorescence melamine recognition with the signaling of Ag NCs was developed.

Molecular beacon

Nanoclusters

Molecular Recognition

10.1039/c5cc01660f

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Citations (35)

Research and application of safety performance model in port enterprises based on fuzzy theory

CRC Press eBooks (2022)

Chen Huang Yu Bai Linlin Lu Hang Jin

According to the characteristics of safety production management in port enterprises, the safety performance of port enterprises is quantitatively assessed by taking ordinary cargo terminal enterprises as an example, and the safety performance indicator system is established. Fuzzy Borda number analysis is used to establish a model. The Delphi method clarifies the factors concerned by industry regulators and enterprise managers, and the relative weight and absolute weight of each indicator are determined. Finally, the model is used to assess and evaluate the safety performance of enterprises quantitatively and comprehensively. The example shows that the model is scientific and feasible and can directly reflect the advantages and weak links of safety production in port enterprises to achieve the purpose of continuously improving the safety production level of port enterprises.

Port (circuit theory)

Delphi Method

Delphi

10.1201/9781003305026-78

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