Shan Guo

Wuhan Institute Of Virology, Wu-han-shih, Hubei, China

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Publications (17)16.94 Total impact

  • 03/2014; 6(4).
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    ABSTRACT: Research on global climate change requires plant functional type (PFT) products. Although several PFT mapping procedures for remote sensing imagery are being used (MODIS PFT), none of them appears to be specifically designed to map and evaluate PFTs over broad mountainous areas which are highly relevant regions to identify and analyse the response of natural ecosystems. The limitations of existing methods to generate PFT (uncertainty of accuracy and limited expandability to broad geographic areas) suggest the development of a new method to determine PFT distributions, which is based on a hierarchical strategy by integrating time varying biomass and phenological information with topography: (i) Temporal variability: Fourier transformation of MODIS Normalized Difference Vegetation Index (NDVI) time series (2006 to 2010) to the frequency domain (five year of five half month scenes). (ii) Spatial partitioning: The harmonics are used to partition the study area into four mapping zones using phenological information based on the harmonics and digital elevation data. (iii) Classification: A similarity measure (Euclidean distance) is employed to obtain the phenological hierarchical time-space plant type classification. Applicability and effectiveness is tested for the eastern Tibetan Plateau. Comparing with the MODIS PFT product and evaluation with the Vegetation Map of the People's Republic of China (1:1000000) reveal a gain on overall accuracy (13081 random samples) by about 7% from 64.5% compared to 57.7% by the MODIS PFT product.
    04/2013;
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    ABSTRACT: The value of ecosystem services in the Sanjiang plain is affected by both land cover change within the plain and habitat loss and fragmentation in the plain. Remotely images provide a synoptic view of land cover patters, and landscape statistic and pattern metrics quantize the land cover change. This study attempts to develop a methodology to quantify spatial distribution and patterns of land cover changes using land cover metrics. We derived multi-temporal land cover maps from multi-temporal remotely sensed imagery, and analyzed the quantitative characteristics and land cover change trajectories using the land cover transition metric, and then described the spatial pattern of land cover change using the landscape metrics. A case study in the Sanjiang from 1999 to 2007 shows that the number of patches (NP) and the patches density (PD) disclose Cropland is more crumbling. All have lower area-weighted mean fractal dimension index (FRAC_AM), higher area-weighted mean contiguity index (CONTIG_AM), lower interspersion and juxtaposition index (IJI) and normalized landscape shape index (NLSI), indicating greater aggregation, less association with others and simpler and larger patches in shape, respectively, in a regional view. Specifically, during the study period, the human activities are dominant in environmental change, the Wetland and Rice show a vary difference percentage of landscape (PLAND) in 1999 to 2007, but the former is decreasing and the latter is increasing. The transitions from other land cover (especially the Wetland and the Forest) to Cropland (both arid and wet) constructed the primary land cover change trajectories, and the new Cropland are more fragmentation, less association with others and simpler patches in shape. The results suggest the spatial pattern metrics of land cover and the land cover transition metric can provide an appropriate quantitative measurement for better understanding of the distribution and changes of land cover and the dominant - orce that cause the change with time.
    Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on; 01/2013
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    ABSTRACT: This paper presents a rapid and easy-to-use approach for change detection of NDVI time series using wavelet transform. Wavelet transform has a long history in signal and image processing field. However, the research on the large-scale remote sensing images by wavelet transform is rarely. The method in this paper is practical by using wavelet analysis on the large scale remote sensing time series. The time series based on Normalized Difference Vegetation Index (NDVI) are fundamental to analyze the dynamic nature of the vegetation. The trend of NDVI time series is extracted by using wavelet transform. For more accurate results, a seeded region growing algorithm is used for the detailed study on the certain areas. Results from the Tibetan Plateau show the wavelet transform in combination with the region growing procedure provides a efficient approach to estimate the areas where vegetation changed.
    01/2012;
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    ABSTRACT: Detecting vegetation change is critical for earth system and sustainability science. The existing methods, however, show several limitations, including inevitable selection of imagery acquisition dates, affection from vegetation related noise on temporal trajectory analysis, and assumptions due to vegetation classification model. This paper presents a multitemporal phenological frequency analysis over a relatively short period (MTPFA-SP) methodology to detect vegetation changes. This MTPFA-SP methodology bases on the amplitude components of fast Fourier transforming (FFT) and is implemented with two steps. First, NDVI time series over two periods are transformed with FFT into frequency domain, separately. Second, amplitude components with phenological information from Step 1 are selected for further change comparison. In this methodology, component selection shows physical meanings of natural vegetation process in frequency domain. Comparisons among those selected components help enhance the ability to rapidly detect vegetation changes. To validate this MTPFA-SP methodology, we detect changes between two periods (2001-2005 and 2006-2010) in the eastern Tibet Plateau area and make two kinds of assessments. The first is for a larger scale, including statistic analysis of altitudinal zonality and latitudinal zonality. The second assessment is for rapid detection of vegetation change location. Landsat TM image were employed to validate the result.
    Proc SPIE 11/2011;
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    ABSTRACT: We aimed to determine the seroprevalence of Crimean-Congo hemorrhagic fever virus (CCHFV) infection in Yunnan Province, China. One thousand six hundred and fifty-seven human serum samples and 1280 ticks (Hyalomma asiaticum) were collected from five counties (Menglian, Menghai, Lancang, Mengla, and Ximeng). Serum samples were analyzed independently by indirect immunofluorescence assay and Western blotting to detected CCHFV antibody. The ticks were examined by reverse transcriptase-polymerase chain reaction (RT-PCR) to detect virus RNA. The CCHFV IgG positivity was 3.4% (57/1657). A multivariate analysis was performed, and variables that increased the chance of infection were found to include history of tick bite or contact (odds ratio (OR) 16.6, 95% confidence interval (CI) 7.5-37.0) and age>30 years (OR 6.8, 95% CI 1.6-28.2). The RT-PCR positive rate for ticks was 14.3% (6/42). The five counties (Menglian, Menghai, Lancang, Mengla, and Ximeng) in Yunnan are areas with the potential for CCHF outbreaks. Residents should protect themselves against tick bites and the surveillance of CCHFV in this region should be improved.
    International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases 07/2011; 15(7):e459-63. · 2.17 Impact Factor
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    ABSTRACT: The highly pathogenic avian influenza (HPAI) H5N1 outbreak at Qinghai Lake, China, in 2005 caused the death of over 6,000 migratory birds, half of which were Bar-headed Geese Anser indicus. Understanding the movements of this species may inform monitoring of outbreak risks for HPAI viruses; thus, we investigated the movement patterns of 29 Bar-headed Geese at Qinghai Lake, China during 2007 and 2008 by using high resolution GPS satellite telemetry. We described the movements and distribution of marked Bar-headed Geese during the pre-nesting, nesting, and moulting periods. Of 21 Bar-headed Geese with complete transmission records, 3 moved to other areas during the nesting period: 2 to Jianghe wetland (50km northwest of Qinghai Lake) and 1 to Cuolongka Lake (220km northwest of Qinghai Lake) during the nesting period. We identified nesting attempts of 7 of the marked geese at Qinghai Lake. Four completed successful nesting attempts according to our rules of judgment for the breeding status, and 2 geese lost broods soon after hatching (hereafter referred to as unsuccessful breeders). Of 18 geese present at Qinghai Lake during the nesting period, 9 (6 non-breeders, 2 successful breeders and 1 unsuccessful breeder) remained at Qinghai Lake during the moulting period; and 9 (5 non-breeders, 4 unsuccessful breeders) left Qinghai Lake for moulting. Kuhai Lake, Donggeicuona Lake, Alake Lake, Zhaling-Eling Lake area and Huangheyuan wetland area were used as moulting sites. Geese that moulted at Qinghai Lake, Cuolongka Lake, Kuhai Lake, Donggeicuona Lake and Alake Lake also moved to Zhaling-Eling Lake area or Huangheyuan wetland area and stayed there for several days prior to autumn migration. Mean home range and core area estimates did not differ significantly by sex, year and between breeders and non-breeders. KeywordsGPS satellite tracking–Bar-headed Goose–Breeding–Post-breeding–Moult migration
    01/2011; 152(1):83-92.
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    ABSTRACT: Qinghai Lake in central China has been at the center of debate on whether wild birds play a role in circulation of highly pathogenic avian influenza virus H5N1. In 2005, an unprecedented epizootic at Qinghai Lake killed more than 6000 migratory birds including over 3000 bar-headed geese (Anser indicus). H5N1 subsequently spread to Europe and Africa, and in following years has re-emerged in wild birds along the Central Asia flyway several times. To better understand the potential involvement of wild birds in the spread of H5N1, we studied the movements of bar-headed geese marked with GPS satellite transmitters at Qinghai Lake in relation to virus outbreaks and disease risk factors. We discovered a previously undocumented migratory pathway between Qinghai Lake and the Lhasa Valley of Tibet where 93% of the 29 marked geese overwintered. From 2003-2009, sixteen outbreaks in poultry or wild birds were confirmed on the Qinghai-Tibet Plateau, and the majority were located within the migratory pathway of the geese. Spatial and temporal concordance between goose movements and three potential H5N1 virus sources (poultry farms, a captive bar-headed goose facility, and H5N1 outbreak locations) indicated ample opportunities existed for virus spillover and infection of migratory geese on the wintering grounds. Their potential as a vector of H5N1 was supported by rapid migration movements of some geese and genetic relatedness of H5N1 virus isolated from geese in Tibet and Qinghai Lake. This is the first study to compare phylogenetics of the virus with spatial ecology of its host, and the combined results suggest that wild birds play a role in the spread of H5N1 in this region. However, the strength of the evidence would be improved with additional sequences from both poultry and wild birds on the Qinghai-Tibet Plateau where H5N1 has a clear stronghold.
    PLoS ONE 01/2011; 6(3):e17622. · 3.53 Impact Factor
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    ABSTRACT: The highly pathogenic avian influenza H5N1 virus still cause devastating effects to humans, agricultural poultry flocks, and wild birds. Wild birds are also detected to carry H5N1 over long distances and are able to introduce it into new areas during migration. In this article, our objective is to provide lists of bird species potentially involved in the introduction of highly pathogenic avian influenza H5N1 in Qinghai Lake, which is an important breeding and stopover site for aquatic birds along the Central Asian Flyway. Bird species were classified according to the following behavioral and ecological factors: migratory status, abundance, degree of mixing species and gregariousness, and the prevalence rate of H5N1 virus. Most of the high-risk species were from the family Anatidae, order Anseriformes (9/14 in spring, 11/15 in fall). We also estimated the relative risk of bird species involved by using a semi-quantitative method; species from family Anatidae accounted for over 39% and over 91% of the total risk at spring and fall migration periods, respectively. Results also show the relative risk for each bird aggregating site in helping to identify high-risk areas. This work may also be instructive and meaningful to the avian influenza surveillance in the breeding, stopover, and wintering sites besides Qinghai Lake along the Central Asian Flyway.
    Vector borne and zoonotic diseases (Larchmont, N.Y.) 10/2010; 11(5):567-76. · 2.61 Impact Factor
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    ABSTRACT: Coal fire generates a number of environmental problems and results in disorderly changes of landcover. Detecting the change of Land-cover is an important scientific issue of the land evaluation and the eco-environmental change forecasting. The temporal land cover maps with high accuracy make it possible to explore the eco-environmental changes of coal fire area. In thispaper, the multi-layer segmentation-based classification approach, Markov Transition Matrix methodology and Dynamic indexesby using Landsat TM data was carried out. The results reveal that coal mine and resident change are mostly in recent decades among all land cover types. Private coal mining exploitation and government administrative measures are the deriving factors.
    Proc SPIE 09/2010;
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    ABSTRACT: To trace the endemic situation of highly pathogenic influenza H5N1 virus in wildlife in the Lake Qinghai area of northwest China, a continuous surveillance program was implemented from September 2005 to September 2007. A total of 2699 field samples were collected, and 95 of the samples were positive by a reverse transcription-polymerase chain reaction (RT-PCR) test of subtype H5 influenza virus. To some extent, the detection rate correlated with the species, the location, and the seasons of collection. In 2007, two H5N1 isolates were identified from two species of migratory birds. The two 2007 isolates showed high similarities of the hemagglutinin and neuraminidase genes with those of the 2005 and 2006 Qinghai isolates (98.6-99.8% for HA and 98.7-98.9% for NA at the nucleotide level). Both isolates fell into clade 2.2.2 and were experimentally highly pathogenic to chickens and mice. According to our surveillance results, HPAI H5N1 viruses still exist in this region.
    Avian Diseases 06/2010; 54(2):821-9. · 1.73 Impact Factor
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    ABSTRACT: The highly pathogenic H5N1 avian influenza emerged in the year 1996 in Asia, and has spread to Europe and Africa recently. At present, effective monitoring and data analysis of H5N1 are not sufficient in Chinese mainland. During the period from April of 2004 to August of 2007, we collected 14,472 wild bird samples covering 56 species of 10 orders in 14 provinces of China and monitored the prevalence of flu virus based on RT-PCR specific for H5N1 subtype. The 149 positive samples involved six orders. Anseriformes had the highest prevalence while Passeriformes had the lowest prevalence (2.70% versus 0.36%). Among the 24 positive species, mallard (Anas platyrhynchos) had the highest prevalence (4.37%). A difference of prevalence was found among 14 provinces. Qinghai had a higher prevalence than the other 13 provinces combined (3.88% versus 0.43%). The prevalence in three species in Qinghai province (Pintail (Anas acuta), Mallard (Anas platyrhynchos) and Tufted Duck (Aythya fuligula)) were obviously higher than those in other 13 provinces. The results of sequence analysis indicated that the 17 strains isolated from wild birds were distributed in five clades (2.3.1, 2.2, 2.5, 6, and 7), which suggested that genetic diversity existed among H5N1 viruses isolated from wild birds. The five isolates from Qinghai came from one clade (2.2) and had a short evolutionary distance with the isolates obtained from Qinghai in the year 2005. We have measured the prevalence of H5N1 virus in 56 species of wild birds in 14 provinces of China. Continuous monitoring in the field should be carried out to know whether H5N1 virus can be maintained by wild birds.
    PLoS ONE 02/2009; 4(9):e6926. · 3.53 Impact Factor
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    ABSTRACT: The objective of this study is to develop techniques for assessing and analysing land desertification in Yulin of Northwest China, as a typical monitoring region through the use of remotely sensed data and geographic information systems (GIS). The methodology included the use of Landsat TM data from 1987, 1996 and 2006, supplemented by aerial photos in 1960, topographic maps, field work and use of other existing data. From this, land cover, the Normalised Difference Vegetation Index (NDVI), farmland, woodland and grassland maps at 1:100,000 were prepared for land desertification monitoring in the area. In the study, all data was entered into a GIS using ILWIS software to perform land desertification monitoring. The results indicate that land desertification in the area has been developing rapidly during the past 40 years. Although land desertification has to some extent been controlled in the area by planting grasses and trees, the issue of land desertification is still serious. The study also demonstrates an example of why the integration of remote sensing with GIS is critical for the monitoring of environmental changes in arid and semi-arid regions, e.g. in land desertification monitoring in the Yulin pilot area. However, land desertification monitoring using remote sensing and GIS still needs to be continued and also refined for the purpose of long-term monitoring and the management of fragile ecosystems in the area.
    Environmental Monitoring and Assessment 02/2008; 147(1-3):327-37. · 1.59 Impact Factor
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    ABSTRACT: Algorithms based on reflectance band ratios and first derivative have been developed for the estimation of chlorophyll a and carotenoid content of rice leaves by using airborne hyperspectral data acquainted by Pushbroom Hyperspectral Imager (PHI). There was a strong R680/R825 and chlorophyll a relationship with a linear relationship between the ratio of reflectance at 680nm and 825nm. The first derivative at 686 nm and 601 nm correlated best with carotenoid. The relationship between the ratio of R680/R825 and chlorophyll a relationship, the first derivative at 686 nm and carotenoid concentration were used to develop predictive regression equations for the estimation of canopy chlorophyll a and carotenoid concentration respectively. The relationship was applied to the imagery, where a chlorophyll a concentration map was generated in XueBu, which is one of the sites for rice.
    Computational Science - ICCS 2005, 5th International Conference, Atlanta, GA, USA, May 22-25, 2005, Proceedings, Part I; 01/2005
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    ABSTRACT: Hyperspectral remote sensing exploits the fact that all material reflects, absorb, and emit electromagnetic energy, at specific wavelengths, in distinctive patterns related to their molecular composition. Hyperspectral algorithms for the estimation of the concentrations of chlorophyll A and carotenoids can be developed using statistical approaches. Some algorithms for the estimation of the concentrations of chlorophyll A and carotenoids in rice leaves from airborne hyperspectral data were developed in this research. Algorithms based on reflectance band ratios and first derivative have been developed for the estimation of chlorophyll A and carotenoid content of rice leaves by using airborne hyperspectral data acquainted by Pushbroom Hyperspectral Imager (PHI). There was a strong R680/R825 and chlorophyll A relationship with a linear relationship between the ratio of reflectance at 680 nm and 825 nm. The first derivative at 686 nm and 601 nm correlated best with carotenoid. The relationship between the ratio of R680/R825 and chlorophyll A relationship, the first derivative at 686 nm and carotenoid concentration were used to develop predictive regression equations for the estimation of canopy chlorophyll A and carotenoid concentration respectively. The relationship was applied to the imagery and a chlorophyll A concentration map was generated
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International; 10/2004
  • Shan Guo, Yanning Guan
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    ABSTRACT: The International Organization for Standardization (ISO) defines standards as documented agreements containing technical specifications or other precise criteria to be used consistently as rules, guidelines, or definition characteristics, to ensure that materials, products, procedures, and services are fit for their purpose. Further, standards contribute to making life simpler, and to increasing the reliability and effectiveness of the goods and services we use. The Scientific Database (SDB) of the Chinese Academy of Sciences (CAS) is comprehensive scientific information service system. It has been built by different disciplines of many institutes of CAS in the past ten years. The Chinese Resources and Environment Remote Sensing Database is one of subsidiary database of SDB. The purpose of data standardization for the Chinese Resources and Environment Remote Sensing Database is to facilitate data sharing and increase interoperability among resources and environment remote sensing applications. The primary objective of this proposed standard is to define the content for remote sensing data, thereby providing a solid basis from which to develop interoperable data formats for this common form of remote sensing data
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International; 10/2004
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    ABSTRACT: Landscape ecology emphasizes large areas and ecological effects of the spatial patterning of ecosystem. Recent developments in landscape ecology have emphasized the important relationship between spatial patterns and many ecological processes. Quantitative methods in landscape ecology link spatial patterns and ecological processes at broad spatial and temporal scales. In turn the increased attention on temporal change of ecosystem has highlighted the need for quantitative methods that can analyze patterns. This research applies quantitative methods--change detection to assess the ecosystem temporal change in the arid and semiarid area. Remote sensing offers the temporal change of ecosystem on landscape characteristics.
    Journal of Environmental Sciences 04/2003; 15(2):222-6. · 1.77 Impact Factor

Publication Stats

86 Citations
16.94 Total Impact Points

Institutions

  • 2009–2011
    • Wuhan Institute Of Virology
      Wu-han-shih, Hubei, China
  • 2004–2011
    • Northeast Institute of Geography and Agroecology
      • Institute of Remote Sensing Applications
      Peping, Beijing, China
  • 2008–2009
    • Chinese Academy of Sciences
      • Institute of Remote Sensing Applications
      Beijing, Beijing Shi, China
  • 2005
    • Beijing Normal University
      Peping, Beijing, China