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    Spatio-temporal Dynamic Patterns of Rural Area Development in Eastern Coastal China
    LIU Yansui, WANG Guogang, ZHANG Fugang
    Chinese Geographical Science    2013, 23 (2): 173-181.  
    Abstract1109)      PDF (20166KB)(16197)      

    The aim of this study is to evaluate the current state of rural area development at the county level in the eastern coastal China. An evaluation index system including 18 factors was developed, and a rural development index (RDI) was constructed to evaluate rural development state in 2000, 2004, and 2008. The quantitative evaluation indicated the following results. 1) This study derived four dominating components by means of principal component analysis, which can explain 78.2% of the total information, namely agricultural production input, the basic condition of agriculture, the comparative effectiveness of grain production, and the household′s own basic conditions. 2) Since the turn of the new millennium, the rural area in the eastern coastal China has experienced a rapid development in general. Well developed, developed, moderately developed and undeveloped rural areas respectively occupied 29.32%, 22.33%, 21.91%, and 10.51% in 2008. 3) The countryside had maintained a sound momentum of developing trend between 2000 and 2008, while the rural development in the eastern coastal China lacked sustainability. And 4) industrialization, urbanization, original economic basis, and location are four major driving forces of the disparity of rural area development in the eastern coastal China. Given these results, the strategies and policies for the improvement of each rural group were put forward.

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    THERMAL EFFECTS OF BUILDING′S EXTERNAL SURFACES IN CITY——Characteristics of Heat Flux into and out of External Wall Surfaces
    ZHANG Yi-ping, HE Yun-ling, LIU Yu-hong, MA You-xin, LI You-rong, DOU Jun-xia
    Chinese Geographical Science    2004, 14 (4): 343-349.  
    Abstract828)      PDF (1705KB)(8570)      

    This study examined the thermal effects of building′s external wall surfaces, using observational data of spatial-temporal distribution of surface temperature, air temperature, and heat flux into and out of external surface. Results indicate that external wall surface temperature and nearby air temperature vary with the change of orientation, height and season. In general, the external wall surface temperature is lower near the ground, and is higher near the roof, than nearby air temperature. But north wall surface temperature is mostly lower than nearby air temperature at the same height; south wall surface temperature during the daytime in December, and west wall surface temperature all day in August, is respectively higher than nearby air temperature. The heat fluxes into and out of external wall surfaces show the differences that exist in the various orientations, heights and seasons. In December, south wall surface at the lower sites emits heat and north wall surface at the higher sites absorbs heat. In April, all external wall surfaces, emit heat near the ground and absorb heat near the roof. In August, west wall surface all day emits heat, and other wall surfaces just show the commensurate behavior with that in April.

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    URBAN TOURISM RESEARCH METHODOLOGY——A Case Study of Guangdong-Hong Kong-Macao Area
    TAO Wei, ZHONG Wen-hui, HONG Yan
    Chinese Geographical Science    2005, 15 (2): 173-178.  
    Abstract1353)      PDF (572KB)(6949)      

    This paper tries to apply a new and more comprehensive method to urban tourism research in an expanded field instead of only partially, unilaterally and separately focusing on the city itself. Taking the urban tourism of Guangdong, Hong Kong and Macao as an example, it aims at presenting a new spatial system of urban tourism research and pointing out the new orientation of urban tourism research in combination of macro level and micro level, from description to explanation. The meanings of the spatial framework construction for urban tourism study are to make clear how urban tourism studies vary with the changes of dimensions of time and space. This is a meaningful discussion because it will bring great changes to the using of literatures, the opening of research perspectives on urban tourism and the upgrading of theories, so as to create a new stage for urban tourism study.

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    Hub-and-Spoke System in Air Transportation and Its Implications to Regional Economic Development——A Case Study of United States
    SONG Wei, MA Yanji
    Chinese Geographical Science    2006, 16 (3): 211-216.  
    Abstract1246)      PDF (73KB)(6462)      

    Considerable changes have taken place in commercial passenger air transport since the enactment of the 1978 Airline Deregulation Act in the US and the deregulation of airline networks that has occurred elsewhere. The commercial and operational freedoms have led most of the larger carriers to develop hub-and-spoke networks, within which certain cities or metropolitan areas emerge as key nodes possessing tremendous advantages over other locations in the air transport system. This paper examines the nature of hub-and-spoke operations in air transportation services, and the benefits that accrue to a city or geographical region that is host to an airline hub. In particular, it looks into linkages between the air service hub and local economic development. Four potential types of impact of airports on the regional economy are defined and discussed. As an example, the assessment of the economic impacts of Cincinnati-Northern Kentucky International Airport (CVG), a major Delta Airlines hub, is introduced.

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    Review of Shadow Detection and De-shadowing Methods in Remote Sensing
    AmirReza Shahtahmassebi, Yang Ning, WANG Ke, Nathan Moore, SHEN Zhangquan
    Chinese Geographical Science    2013, 23 (4): 403-420.   DOI: 10.1007/s11769-013-0613-x
    Abstract3254)   HTML1)    PDF (1003KB)(5669)      

    Shadow is one of the major problems in remotely sensed imagery which hampers the accuracy of information extraction and change detection. In these images, shadow is generally produced by different objects, namely, cloud, mountain and urban materials. The shadow correction process consists of two steps: detection and de-shadowing. This paper reviews a range of techniques for both steps, focusing on urban regions (urban shadows), mountainous areas (topographic shadow), cloud shadows and composite shadows. Several issues including the problems and the advantages of those algorithms are discussed. In recent years, thresholding and recovery techniques have become important for shadow detection and de-shadowing, respectively. Research on shadow correction is still an important topic, particularly for urban regions (in high spatial resolution data) and mountainous forest (in high and medium spatial resolution data). Moreover, new algorithms are needed for shadow correction, especially given the advent of new satellite images.

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    Water Requirements and Irrigation Scheduling of Spring Maize Using GIS and CropWat Model in Beijing-Tianjin-Hebei Region
    FENG Zhiming, LIU Dengwei, ZHANG Yuehong
    Chinese Geographical Science    2007, 17 (1): 56-63.   DOI: 10.1007/s11769-007-0056-3
    Abstract1142)      PDF (836KB)(5227)      

    Due to the over use of available water resources, it has become very important to define appropriate strategies for planning and management of irrigated farmland. In this paper, Beijing-Tianjin-Hebei (Jing-Jin-Ji) region was chosen as the case study area for its special political and economic status and its severe water problem. To achieve effective planning, the information about crop water requirements, irrigation withdrawals, soil types and climatic conditions were obtained in the study area. In the meantime, a GIS method was adopted, which extends the capabilities of the crop models to a regional level. The main objectives of the study are: 1) to estimate the spatial distribution of the evapotranspiration of spring maize; 2) to estimate climatic water deficit; 3) to estimate the yield reduction of spring maize under different rainfed and irrigated conditions. Based on the water deficit analysis, recommended supplemental irrigation schedule was developed using CropWat model. Compared to the rainfed control, the two or three times of supplemental water irrigated to spring maize at the right time reduced the loss of yield, under different scenarios.

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    Application of SCS Model in Estimation of Runoff from Small Watershed in Loess Plateau of China
    LIU Xianzhao, LI Jiazhu
    Chinese Geographical Science    2008, 18 (3): 235-241.   DOI: 10.1007/s11769-008-0235-x
    Abstract1322)      PDF (782KB)(5213)      

    Soil Conservation Service (SCS) model, developed by U. S. Soil Conservation Service in 1972, has been widely applied in the estimation of runoff from an small watershed. In this paper, based on the remote sensing geo-information data of land use and soil classification all obtained from Landsat images in 1996 and 1997 and con-ventional data of hydrology and meteorology, the SCS model was investigated for simulating the surface runoff for single rainstorm in Wangdonggou watershed, a typical small watershed in the Loess Plateau, located in Changwu County of Shaanxi Province of China. Wangdonggou watershed was compartmentalized into 28 sub-units according to natural draining division,and the table of curve number (CN) values fitting for Wangdonggou watershed was also presented. During the flood period from 1996 to 1997, the hydrograph of calculated runoff process using the SCS model and the hydrograph of observed runoff process coincided very well in height as well as shape, and the model was of high precision above 75%. It is indicated that the SCS model is legitimate and can be successfully used to simulate the runoff generation and the runoff process of typical small watershed based on the remote sensing geo-information in the Loess Plateau.

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    Vegetation NPP Distribution Based on MODIS Data and CASA Model——A Case Study of Northern Hebei Province
    YUAN Jinguo, NIU Zheng, WANG Chenli
    Chinese Geographical Science    2006, 16 (4): 334-341.  
    Abstract1079)      PDF (2828KB)(4610)      

    Net Primary Productivity (NPP) is one of the important biophysical variables of vegetation activity, and it plays an important role in studying global carbon cycle, carbon source and sink of ecosystem, and spatial and temporal distribution of CO2. Remote sensing can provide broad view quickly, timely and multi-temporally, which makes it an attractive and powerful tool for studying ecosystem primary productivity, at scales ranging from local to global. This paper aims to use Moderate Resolution Imaging Spectroradiometer (MODIS) data to estimate and analyze spatial and temporal distribution of NPP of the northern Hebei Province in 2001 based on Carnegie-Ames-Stanford Approach (CASA) model. The spatial distribution of Absorbed Photosynthetically Active Radiation (APAR) of vegetation and light use efficiency in three geographical subregions, that is, Bashang Plateau Region, Basin Region in the northwestern Hebei Province and Yanshan Mountainous Region in the Northern Hebei Province were analyzed, and total NPP spatial distribution of the study area in 2001 was discussed. Based on 16-day MODIS Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) product, 16-day composite NPP dynamics were calculated using CASA model; the seasonal dynamics of vegetation NPP in three subregions were also analyzed. Result reveals that the total NPP of the study area in 2001 was 25.1877×106gC/(m2·a), and NPP in 2001 ranged from 2 to 608gC/(m2·a), with an average of 337.516gC/(m2·a). NPP of the study area in 2001 accumulated mainly from May to September (DOY 129–272), high NPP values appeared from June to August (DOY 177–204), and the maximum NPP appeared from late July to mid-August (DOY 209–224).

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    Fourth Industrial Revolution: Technological Drivers, Impacts and Coping Methods
    LI Guoping, HOU Yun, WU Aizhi
    Chinese Geographical Science    2017, 27 (4): 626-637.   DOI: 10.1007/s11769-017-0890-x
    Abstract302)      PDF (213KB)(4548)      

    The world is marching into a new development period when the digital technology, physical technology, and biological technology have achieved an unprecedented development respectively in their own fields, and at the same time their applications are converging greatly. These are the three major technological drivers for the Fourth Industrial Revolution. This paper discusses the specific technology niches of each kind technological driver behind the Fourth Industrial Revolution, and then evaluates impacts of the Fourth Industrial Revolution on global industrial, economic, and social development. At last this paper proposes possible measures and policies for both firms and governments to cope with the changes brought by the Fourth Industrial Revolution.

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    Globalization of Tourism and Third World Tourism Development——A Political Economy Perspective
    ZHAO Weibing, LI Xingqun
    Chinese Geographical Science    2006, 16 (3): 203-210.  
    Abstract1245)      PDF (89KB)(4319)      

    Globalization, which is characterized by the escalating mobility of capital, people, ideas and information on a universal scale, has become a sweeping theme in the contemporary world. Tourism and its associated economic activities are evidently not immune to such a wider context of the world economy. In the past one or two decades, a stable increase has been witnessed in international tourist flows, inter-regional and inter-organizational alliances, and foreign direct investment. These trends are especially prevalent in the developing world, largely because of their pristine nature, diverse culture, inexpensive goods and services, cheap labours, and other resources. However, it has been cautioned by some scholars, especially those from the Third World countries, that tourism is an industry run by and for the rich, more powerful nations and their corresponding multinational corporations. This article, from the perspective of political economy, supplemented with views from development studies, made a normative analysis on the impacts of the globalization of tourism on the Third World destination countries. Specifically, these impacts have been detailed in terms of economic, sociocultural, and ecological domains. It was demonstrated that without appropriate planning and management, the costs of Third World tourism development may accrue to the extent that its benefits are burned out. To avoid this happening, some suggestions have been made.

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    Age-related Changes of Carbon Accumulation and Allocation in Plants and Soil of Black Locust Forest on Loess Plateau in Ansai County, Shaanxi Province of China
    LI Taijun, LIU Guobin
    Chinese Geographical Science    2014, 0 (4): 414-422.   DOI: 10.1007/s11769-014-0704-3
    Abstract493)   HTML1)    PDF (11891KB)(4305)      

    The effects of reforestation on carbon (C) sequestration in China's Loess Plateau ecosystem have attracted much research attention in recent years. Black locust trees (Robinia pseudoacacia L.) are valued for their important use in reforestation and water and soil conservation efforts. This forest type is widespread across the Loess Plateau, and must be an essential component of any planning for C sequestration efforts in this fragile ecological region. The long-term effects of stand age on C accumulation and allocation after reforestation remains uncertain. We examined an age-sequence of black locust forest (5, 9, 20, 30, 38, and 56 yr since planting) on the Loess Plateau to evaluate C accumulation and allocation in plants (trees, shrubs, herbages, and leaf litter) and soil (0-100 cm). Allometric equations were developed for estimating the biomass of tree components (leaf, branch, stem without bark, bark and root) with a destructive sampling method. Our results demonstrated that black locust forest ecosystem accumulated C constantly, from 31.42 Mg C/ha (1 Mg = 106 g) at 5 yr to 79.44 Mg C/ha at 38 yr. At the ‘old forest’ stage (38 to 56 yr), the amount of C in plant biomass significantly decreased (from 45.32 to 34.52 Mg C/ha) due to the high mortality of trees. However, old forest was able to accumulate C continuously in soil (from 33.66 to 41.00 Mg C/ha). The C in shrub biomass increased with stand age, while the C stock in the herbage layer and leaf litter was age-independent. Reforestation resulted in C re-allocation in the forest soil. The topsoil (0-20 cm) C stock increased constantly with stand age. However, C storage in sub-top soil, in the 20-30, 30-50, 50-100, and 20-100 cm layers, was age-independent. These results suggest that succession, as a temporal factor, plays a key role in C accumulation and re-allocation in black locust forests and also in regional C dynamics in vegetation.

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    Roles and Functions of Tourism Destinations in Tourism Region of South Anhui: A Tourist Flow Network Perspective
    LIU Fajian, ZHANG Jinhe, ZHANG Jie, CHEN Dongdong, LIU Zehua, LU Song
    Chinese Geographical Science    2012, 22 (6): 755-764.  
    Abstract698)      PDF (1167KB)(3892)      

    Theoretic and practical significance has been highlighted in the research of the roles and functions of destinations, as destinations are restricted by the spatial structure based on tourist flow network from the perspective of relationship. This article conducted an empirical analysis for Tourism Region of South Anhui (TRSA) and revealed the necessity and feasibility of studying the roles and functions of destinations from tourist flow network′s perspective. The automorphic equivalence analysis and centrality analysis were used to classify 16 destinations in TRSA into six role types: tourist flow distribution center, hub of tourist flows, passageway destination, common touring destination, attached touring destination, and nearly isolated destination. Some suggestions were given on suitable infrastructure construction and destinations service designs according to their functions in network. This destination role positioning was based on tourist flow network structure in integral and macroscopic way. It provided an important reference for the balanced and harmonious development of all the destinations of TRSA. In addition, this article verified the applicability of social network analysis on tourist flow research in local scale, and expanded this method to destination role and function positioning.

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    Impact of Tourists′ Perceived Value on Behavioral Intention for Mega Events: Analysis of Inbound and Domestic Tourists
    at Shanghai World Expo
    WANG Chaohui, LU Lin, XIA Qiaoyun
    Chinese Geographical Science    2012, 22 (6): 742-754.  
    Abstract1007)      PDF (375KB)(3854)      

    Based on the survey data for 2120 inbound and domestic tourists at the Shanghai World Expo, a structural equation model was constructed for the relationship among tourists′ perceived value dimensions, behavioral intention and revisit intention. Additionally, the influence of tourists′ perceived value dimensions on the behavioral intention and revisit intention was explored. The results show that the utilitarian value and enjoyment value significantly affect the inbound and domestic tourists′ behavioral intention, while the convenience value and aesthetic value have no significant influence. The service value only significantly affects the domestic tourists′ behavioral intention, and the aesthetic value only significantly affects the inbound tourists′ behavioral intention. The utilitarian value, service value and enjoyment value significantly affect the inbound and domestic tourists′ revisit intention, while the convenience value only significantly affects the domestic tourists′ revisit intention. The utilitarian value is the primary factor affecting the inbound tourists′ behavioral intention and revisit intention, and the perceived price has no significant effect on either inbound or domestic tourists′ behavioral intention or revisit intention. The study explores the relationships between tourists′ perceived value, behavioral intention and revisit intention, analyzes the divergence and causation, theoretically enriches the research field of tourism geography and behavioral geography, and has great practical significance to the sustainable development of mega events in China, including the further development of the Shanghai World Expo.  

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    Foreign Direct Investment with Chinese Characteristics:A Middle Path Between Ownership-Location-Internalization Model and Linkage-Leverage-Learning Model
    SI Yuefang, Ingo LIEFNER, WANG Tao
    Chinese Geographical Science    2013, 23 (5): 594-606.   DOI: 10.1007/s11769-013-0603-z
    Abstract502)   HTML2)    PDF (629KB)(3734)      

    The majority of multinational enterprises (MNEs) traditionally originate from developed countries. In the last ten years, however, there has been dramatic growth in foreign direct investment (FDI) from China. It is a comparatively new phenomenon that challenges the classic FDI theories. In this paper, we review the pros and cons of two important theories, known as the Ownership-Location-Internalization (OLI) model and Linkage-Leverage-Learning (LLL) model, and use the statistical data and company case studies from China to test the plausibility of these two models. We believe that neither of them suits totally: the OLI model is quite useful for understanding FDI from China to developing economies, while the LLL model is more powerful for explaining the FDI to developed economies. We argue that the companies from China attain a very advantageous position as intermediates in the global economy. They may catch up with the first movers if they integrate OLI-led and LLL-led FDI within one firm. This combination can bring together the most advanced knowledge acquired in developed economies with the knowledge about adaptation needs and the needs for cost reduction in production as expressed in developing economies. It may also accelerate the knowledge transfer globally. We thus fill a gap in research into the geographical pattern of Chinese FDI and offer a deeper understanding of the internationalization of Chinese MNEs and revolving knowledge transfer.

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    Liao Ronghua, Chen Xiangman
    Chinese Geographical Science    1998, 8 (1): 67-73.  
    Abstract775)      PDF (343KB)(3708)      

    The urban rural integration is an inevitable outcome of regional economic development in a certain stage and is objectively exhibited as the evolution of settlement location and distribution, that is, the turning from spot distribution to area distribution of the settlement in developed areas, while in less developed areas, from spot distribution to linear distribution. The evolution of the settlement location and distribution is an inevitable result of economic development in the urban rural integration, which is restricted by factors affecting economic development, on the other hand, it is also an important factor affecting and restricting economic development. In the process of the urban rural integration, modern transportation orientation, modern market orientation, modern industrial orientation and modern population orientation are important motive force, and influence the basic pattern of the settlement location and distribution, which plays a speeding or delaying role in regional economic development.

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    Influencing Factors for Formation of Urban and Rural Spatial Structure in Metropolis Fringe Area——Taking Shuangliu County of Chengdu in China as a Case
    WANG Kaiyong, GAO Xiaolu, CHEN Tian
    Chinese Geographical Science    2008, 18 (3): 224-234.   DOI: 10.1007/s11769-008-0224-0
    Abstract1553)      PDF (3761KB)(3601)      

    With rapid urbanization process, the pace of urban sprawl has been quickened and most metropolises have ex-perienced expansions in leaps and bounds in suburbanization, which has greatly changed the urban and rural spatial structure of the metropolis fringe area. In this paper, Shuangliu County is taken as a case, since it is a typical fringe area of Chengdu Metropolis. Based on Landsat TM images of Chengdu City and Shuangliu County obtained in 1985, 2000 and 2004, characteristics of urban and rural spatial structure in Shuangliu County were analyzed, such as core-periphery spatial structure and some obvious integration trends. Then the influencing factors for the formation of urban and rural spatial structure were identified, including some natural, social, economic and political factors. According to the discussion of this paper, Shuangliu County is undergoing a key transition and reform period. Its formation of urban and rural spatial structure was affected not only by such common factors as the location, natural background, industrial transition, migration, etc., but also by some unique factors such as city planning and policy guidance, which played an important role in accelerating its uneven spatial structure. The understanding of the role of the influencing factors would be useful for carrying out spatial management and development planning of metropolis fringe area.

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    High-resolution Surface Relative Humidity Computation Using MODIS Image in Peninsular Malaysia
    PENG Guangxiong, LI Jing, CHEN Yunhao, Abdul Patah NORIZAN, Liphong TAY
    Chinese Geographical Science    2006, 16 (3): 260-264.  
    Abstract1063)      PDF (386KB)(3525)      

    Forest fire is a serious disaster all over the world. The Fire Weather Index (FWI) System can be used in ap- plied forestry as a tool to investigate and manage all types of fire. Relative humidity (RH) is a very important parameter to calculate FWI. However, RH interpolated from meteorological data may not be able to provide precise and confident values for areas between far separated stations. The principal objective of this study is to provide high-resolution RH for FWI using MODIS data. The precipitable water vapor (PW) can be retrieved from MODIS using split window techniques. Four-year-time-series (2000-2003) of 8-day mean PW and specific humidity (Q) of Peninsular Malaysia were analyzed and the statistic expression between PW and Q was developed. The root-mean-square-error (RMSE) of Q estimated by PW is generally less than 0.0004 and the correlation coefficient is 0.90. Based on the experiential formula between PW and Q, surface RH can be computed with combination of auxiliary data such as DEM and air temperature (Ta). The mean absolute errors of the estimated RH in Peninsular Malaysia are less than 5% compared to the measured RH and the correlation coefficient is 0.8219. It is proven to be a simple and feasible model to compute high-resolution RH using remote sensing data.

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    Assessing Vulnerability to Drought Based on Exposure, Sensitivity and Adaptive Capacity: A Case Study in Middle Inner Mongolia of China
    LIU Xiaoqian, WANG Yanglin, PENG Jian, Ademola K BRAIMOH, YIN He
    Chinese Geographical Science    2013, 23 (1): 13-25.  
    Abstract1051)   HTML1)    PDF (3715KB)(3514)      

    In this paper, we proposed a framework for evaluating the performance of ecosystem strategies prepared for enhancing vulnerability reduction in the face of hazards due to climate change. The framework highlights the positive effects of human activities in the coupled human and natural system (CHANS) by introducing adaptive capacity as an evaluation criterion. A built-in regional vulnerability to a certain hazard was generated based upon interaction of three dimensions of vulnerability: exposure, sensitivity and adaptive capacity. We illustrated the application of this framework in the temperate farming-grazing transitional zone in the middle Inner Mongolia of the northern China, where drought hazard is the key threat to the CHANS. Specific indices were produced to translate such climate variance and social-economic differences into specific indicators. The results showed that the most exposed regions are the inner land areas, while counties located in the eastern part are potentially the most adaptive ones. Ordos City and Bayannur City are most frequently influenced by multiple climate variances, showing highest sensitivity. Analysis also indicated that differences in the ability to adapt to changes are the main causes of spatial differences. After depiction of the spatial differentiations and analysis of the reasons, climate zones were divided to depict the differences in facing to the drought threats. The climate zones were shown to be similar to vulnerability zones based on the quantitative structure of indexes drafted by a triangular map. Further analysis of the composition of the vulnerability index showed that the evaluation criteria were effective in validating the spatial differentiation but potentially ineffective because of their limited time scope. This research will be a demonstration of how to combine the three dimensions by quantitative methods and will thus provide a guide for government to vulnerability reduction management.

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    Crop Classification Using MODIS NDVI Data Denoised by Wavelet: A Case Study in Hebei Plain, China
    ZHANG Shengwei, LEI Yuping, WANG Liping, et al.
    Chinese Geographical Science    2011, 21 (3): 322-333.  
    Abstract1727)      PDF (418KB)(3382)      

    Time-series Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data have been widely used for large area crop mapping. However, the temporal crop signatures generated from these data were always accompanied by noise. In this study, a denoising method combined with Time series Inverse Distance Weighted (T-IDW) interpolating and Discrete Wavelet Transform (DWT) was presented. The detail crop planting patterns in Hebei Plain, China were classified using denoised time-series MODIS NDVI data at 250 m resolution. The denoising approach improved original MODIS NDVI product significantly in several periods, which may affect the accuracy of classification. The MODIS NDVI-derived crop map of the Hebei Plain achieved satisfactory classification accuracies through validation with field observation, statistical data and high resolution image. The field investigation accuracy was 85% at pixel level. At county-level, for winter wheat, there is relatively more significant correlation between the estimated area derived from satellite data with noise reduction and the statistical area (R2 = 0.814, p < 0.01). Moreover, the MODIS-derived crop patterns were highly consistent with the map generated by high resolution Landsat image in the same period. The overall accuracy achieved 91.01%. The results indicate that the method combining T-IDW and DWT can provide a gain in time-series MODIS NDVI data noise reduction and crop classification.

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    Urban Spatial Restructuring in Transitional Economy——Changing Land Use Pattern in Shanghai
    XU Jiangang, LIAO Banggu, SHEN Qing, ZHANG Feng, MEI Anxin
    Chinese Geographical Science    2007, 17 (1): 19-27.   DOI: 10.1007/s11769-007-0019-8
    Abstract1862)      PDF (934KB)(3367)      

    For almost three decades, China has been undergoing significant transition from a planned economy to a market economy. Fast-paced economic growth and urbanization, interacting with market-oriented reforms in land re-sources allocation, have caused profound spatial restructuring of Chinese cities. This paper examines urban expansion and land use reconfiguration in Shanghai's central city from 1979 to 2002, with a special focus on the effect of the adoption of the land-leasing system in 1988. The empirical research, which employs GIS-based spatial analysis tech-niques to explore land use data for multiple years, indicates fundamental changes in the spatial characteristics of urban development in Shanghai after this important land policy reform.

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