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  • Table of Content
       , Volume 20 Issue 2 Previous Issue    Next Issue
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    Review
    PRELIMINARY REMOTE SENSING INVESTIGATION OF DAMAGE CAUSEDBY THE “5.12”WENCHUAN STRONG EARTHQUAKE AS WELL AS SECONDARY HAZARDS AT THE QUAKE CENTER——YINGXIU TOWN
    WANG Zhi-Hua, ZHOU Ying-Jie, XU Bin, JIA Bin
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 1-4.   DOI: 10.6046/gtzyyg.2008.02.01
    Abstract   HTML   PDF (404KB) ( 1325 )


    While the intensive 8 magnitude earthquake happened in Wenchuan,Sichuan province,China,China Geophysical Survey and Remote Sensing Center for Land and Resources go into action without delay and has captured the aerial photo data of serious destroyed conditions and geological disasters surround the seismic area by advanced color digital camera and POS guide and localization system carried by high-altitude remote sensing plane. This paper take Yingxiu Town district where 11.6 km away from the seismic center as an example briefly introduce the results that based on high quality color aerial photo and adopting digital landslide technique to survey the destroy and disasters conditions near the seismic center areas after the earthquake happened.

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    THE APPLICATION OF REMOTE SENSING TECHNOLOGY TO EARTHQUAKE SCIENCE RESEARCH
    JING Feng, SHEN Xu-Hui, HONG Shun-Ying, OU Yang-Xin-Yan
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 5-8.   DOI: 10.6046/gtzyyg.2008.02.02
    Abstract   HTML   PDF (356KB) ( 1859 )

    As a new spatial observation technology,the remote sensing technology has been applied in various fields. This paper deals with some application results of remote sensing technology in the earthquake science,such as active fault detection,Earth crust deformation,thermal anomaly and seismic hazard evaluation. In recent years,electromagnetic satellites devoted to earthquake research were launched successfully in some countries,e.g.,Russia and France,which yielded quite abundant electromagnetic information relating to the earthquake in the ionosphere. These data are called non-imaging remote sensing information. More and more earthquake scientists have believed that such information is of great significance to earthquake electromagnetic science study and earthquake short-term prediction. Remote sense technology(imaging and non-imaging)used in the earthquake field will heighten China's capability for earthquake monitoring and forecasting.

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    Technology and Methodology
    THE APPLICATION OF INVARIANT MOMENTS TO HIGH RESOLUTION REMOTE SENSING IMAGE CLASSIFICATION
    XU Hai-Qing, LI Pei-Jun, CHEN Yi
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 9-13.   DOI: 10.6046/gtzyyg.2008.02.03
    Abstract   HTML   PDF (513KB) ( 1327 )

    Invariant moments represent a very important shape feature of the image. With their invariant function of geometric transformation,they have been widely used in the field of image analysis. In this paper,shape features extracted from images by using three types of commonly used invariant moments,namely Hu moments,Zernike moments and Wavelet moments,were applied to high resolution remote sensing image classification and compared with the image classification only utilizing spectral information. The results show that,when the shape features defined by invariant moments are included in high resolution image classification,accuracies significantly increase. Higher accuracies can be especially achieved for those classes which have similar spectral features but different structural and shape features.

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    THE ALGORITHM FOR NOISE DETECTION AND FILTERING OF THE X-BAND NAUTICAL RADAR IMAGE
    HAO Yan-Ling, TANG Yan-Hong, LU Zhi-Zhong
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 14-17.   DOI: 10.6046/gtzyyg.2008.02.04
    Abstract   HTML   PDF (555KB) ( 1251 )

    A novel algorithm for noise detection and filtering is proposed in this paper based on space-time characteristics of nautical radar data. The noise can be detected and filtrated by the improved median filtering algorithm according to the uncorrelated property among various scans. The algorithm for traditional median filtering and that for mean filtering are analyzed in comparison with the algorithm proposed in this paper,and the evaluation parameter of SNR is utilized to estimate the results. It is shown that the algorithm proposed in this paper preserves not only such advantages of the traditional median filtering as simple calculation and high speed computability but also the gray information of the original image. In addition,a good noise reduction effect can be achieved.

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    A METHOD FOR REMOTE SENSING IMAGE CLASSIFICATION BASED ON WEIGHT AND MIXED-PIXEL MODELS
    HE Hai-Qing, LI Fa-Bin, LI He-Chao, WANG Yong
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 18-21.   DOI: 10.6046/gtzyyg.2008.02.05
    Abstract   HTML   PDF (824KB) ( 1666 )

    A method for remote sensing image classification based on weight and mixed-pixel models is proposed in this paper. Combined with the available spectral mixed-pixel models,this method classifies the pixels by weighting and averaging with the abundances and weight factors of the categories according to practical application. To verify its feasibility,the authors carried out the classification of land cover with SPOT-5 data. The results show that the method can improve the accuracy of remote sensing image classification and even has higher application value under certain conditions.

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    THE PROBLEMS OF BACKGROUND AND INTERFERENCE IN REMOTE SENSING ALTERATION INFORMATION DETECTION
    ZHANG Yuan-Fei, WU De-Wen, ZHU Gu-Chang, YANG Zi-An
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 22-26.   DOI: 10.6046/gtzyyg.2008.02.06
    Abstract   HTML   PDF (775KB) ( 1167 )

    The background and interference in remote sensing alteration information detection in different landscape units are two complicated and easily confused study objects. In this paper,the spatial geometric structural characteristics of spectral data of the remote sensing image are analyzed thoroughly. In addition,the relations between the background and the interference,the complexity of their relationship and the classification of the interfering objects are studied systematically in combination with the theories of spectral mixing models and probability distribution of stochastic variables. The discussion of these problems has provided important technical ideas for designing the optimal scheme for remote sensing alteration information detection,evaluating potentiality of the alteration information,and extracting the alteration information accurately.

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    OBJECT-ORIENTED BUILDING EXTRACTION OF MULTI-SOURCE REMOTE SENSING IMAGERY BASED ON SVM
    ZHANG Feng, XUE Yan-Li, LI Ying-Cheng, DING Xiao-Bo
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 27-29.   DOI: 10.6046/gtzyyg.2008.02.07
    Abstract   HTML   PDF (484KB) ( 1584 )

    On the basis of analyzing the Support Vector Machine (SVM) classification technique and the features of LIDAR data and aerial imagery,this paper has put forward a new building extraction method based on object-oriented SVM,which integrates multi-source information of aerial imagery and Light Detection and Ranging (LIDAR) data. Tests show that the extraction accuracy is improved by using this method. Moreover,the proposed object-oriented building extraction method not only proves to be effective but also can update GIS database quickly and accurately.
     

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    THE PERFORMANCE OF OBJECT-BASED CLASSIFIERS IN THE CLASSIFICATION OF VHSR IMAGE
    YU Hai-Yang, GAN Fu-Ping, WU Fa-Dong, DANG Fu-Xing
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 30-34.   DOI: 10.6046/gtzyyg.2008.02.08
    Abstract   HTML   PDF (532KB) ( 1095 )

    The parallelepiped classifier (PC),minimum distance classifier (MDC),Maximum Likelihood Classifier (MLC),Neural network (NN) and,especially,the newly developed Support Vector Machines (SVM) were assessed in the object-based image analysis of VHSR data. The impacts of kernel configuration on the performance of the SVM and of the selection of training data of the four classifiers were also evaluated. The result reveals that SVM can improve the accuracy significantly,and is by far more stable than other algorithms in the classification of VHSR data based on OBIA.

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    A METHOD FOR ESTIMATING THE AMOUNT OF AIR BORNE SAND OVER THE LAND
    ZHENG Xin-Jiang, CHEN Wei-Min, FANG Xiang, LUO Jing-Ning
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 35-38.   DOI: 10.6046/gtzyyg.2008.02.09
    Abstract   HTML   PDF (382KB) ( 1071 )

    Using visible channels of NOAA satellites,the authors developed a new method to estimate the amount of airborne sand over the arid area in northern China. Due to the great difference in reflectance on the land,it is rather difficult to directly retrieve the dust storm from the visible radiance obtained from the satellite. Considering that the change of the land reflectance is very small during a short time in a fixed place,we can make a comparison between the radiance of the clear sky and that of the dust sky. In this way,we can estimate the optical depth of the dust storm over the land. Test results indicate that,during the dust storm on April 16,2002,the optical depth of dust storm and the airborne sand amount calculated by this method were in agreement with the trend of the synchronous TSP observation.

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    EXTRACTION OF TERRACED FIELD TEXTURE FEATURES BASED ON FOURIER TRANSFORMATION
    YU Hao, LIU Zhi-Hong, ZHANG Xiao-Ping, LI Rui
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 39-42.   DOI: 10.6046/gtzyyg.2008.02.10
    Abstract   HTML   PDF (730KB) ( 1256 )

    Image texture analysis is one of the effective methods for improving the accuracy of image interpretation and classification. This paper deals with textures of terraced fields and features of frequency images. The linear texture of image was converted into the distribution pattern with frequency lines crossing the center of the frequency space and the orientation vertical to the linear texture of the image. Taking the IKONOS image of 1 m resolution for extracting information of terraced fields as an example,the authors used the ratio of the maximum orientations as the main texture extraction index of terraced fields in 5 pixel×5 pixel window. The result shows that the accuracy of image classification of terraced fields is up to 81.3%.

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    FUSION AND EVALUATION OF CBERS-02B HR AND MULTI-SPECTRAL IMAGES
    LI Jun-Jie, LI Xing-Chao, FU Qiao-Yan, HUANG Shi-Cun, WANG Qi
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 43-47.   DOI: 10.6046/gtzyyg.2008.02.11
    Abstract   HTML   PDF (498KB) ( 1100 )

    CBERS-02B satellite has a high resolution camera HR and a multi-spectral sensor CCD. HR and CCD images can be fused to form a new image which can preserve high spatial resolution of HR and high spectral resolution of CCD. HR image can also be fused with images of other sensors. The authors used six methods to fuse HR,CCD and SPOT 5 multi-spectral images and evaluated the fusion results qualitatively and quantitatively. As a result,relatively ideal methods for fusing HR and SPOT 5 multi-spectral images were found. The results indicate the potential capability of HR images for being fused with images of other sensors. A comparison has also been made between the HR & SPOT 5 multi-spectral fusion image and the HR & CCD fusion image.

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    THE TECHNICAL FRAMEWORK FOR REGIONAL FARMLAND CHANGE INVESTIGATION USING REMOTE SENSING
    PEI Zhi-Yuan, ZHANG Song-Ling, WU Quan, LIU Hai-Qi
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 48-50.   DOI: 10.6046/gtzyyg.2008.02.12
    Abstract   HTML   PDF (428KB) ( 1109 )

    This paper deals with the technical framework for using remote sensing technology to investigate regional farmland change,with the emphasis placed on such key techniques as classification categories,information extraction and representation of the change,acreage deduction of small objects,and flow chart of data processing. Further discussion on the problems in operation is also made on the basis of practical application conducted in Northeast China,North China and Huanghuaihai area.

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    Technology Application
    THE APPLICATION OF INSAR TECHNOLOGY TO MINING AREA SUBSIDENCE MONITORING
    LIU GUANG, GUO Hua-Dong, Ramon Hanssen, Zbigniew Perski, LI Xin-Wu, YUE Huan-Yin, FAN Jing-Hui
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 51-55.   DOI: 10.6046/gtzyyg.2008.02.13
    Abstract   HTML   PDF (518KB) ( 1779 )

    Interferometry SAR is an emerging earth observation technique,which is especially useful in cartography and surface subsidence survey. This paper describes the method for monitoring the mining activities using the InSAR technique. Both ENVISAT ASAR and JERS1 SAR data were used to generate deformation interferograms,Characteristics of coherence as well as phase patterns on the C band and L band deformation interferograms were comparatively studied,and the feasibility and limitation of using InSAR technology in mining area subsidence monitoring were analyzed. The experimental result shows that both C band and L band can accomplish the monitoring of mining area subsidence,but C band has more restricted conditions for its perpendicular baseline. For the purpose of obtaining a satisfactory outcome in mining area subsidence monitoring by using the InSAR method,the time series of SAR images of every visit period and SAR deformation interferograms should be established.

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    A SPATIAL ANALYSIS OF URBAN HEAT ISLAND AND UNDERLYING SURFACE USING LANDSAT ETM+
    CHEN Feng, HE Bao-Yin, LONG Zhan-Yong, YANG Xiao-Qin
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 56-61.   DOI: 10.6046/gtzyyg.2008.02.14
    Abstract   HTML   PDF (984KB) ( 1413 )

    The relationship between urban heat island and underlying surface was analyzed for the first time in Beijing,Shanghai,Shenyang and Wuhan in summer based on Landsat ETM+ data by combining mathematical statistics with spatial statistics. The urban underlying surface was represented by green vegetation and impervious surface generated by a linear spectral mixture analysis,while the relative urban heat island strength was represented by difference of radiant brightness temperature between surface and water. Radiant brightness temperature was retrieved from the thermal band. Results obtained in these cities suggest that a positive spatial autocorrelation exists in the distribution of green vegetation,impervious surface and heat island strength,with the existence of a similar autocorrelation range equivalent to the spatial pattern character of the combination of buildings and roads. As a result of spatial autocorrelation,the structural factor is more important than the random factor in contributing to spatial heterogeneity of urban green vegetation,impervious surface and heat island strength. Statistics show that the positive relationship between impervious surface and heat island strength exhibits different nonlinear characteristics in these four cities,which can be expressed by piecewise functions according to the quantity of impervious surface,and things are quite similar for the negative relationship between green vegetation and heat island strength. In these four cities,both the positive and the negative relationships demonstrate spatial heterogeneity and multi-scale character,along with an obvious spatial scale proximate to 550 meters detected by using cross-correlation. These conclusions may provide some ideas for civil planning,i.e.,through designing of reasonable intervals and proportions between green vegetation zones and buildings,the effect of urban heat island can be weakened.

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    LAI RETRIEVAL OF REED CANOPY USING NEURAL NETWORK METHODS
    CHEN Jian, NI Shao-Xiang, LI Yun-Mei
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 62-67.   DOI: 10.6046/gtzyyg.2008.02.15
    Abstract   HTML   PDF (580KB) ( 1969 )

    LAI retrieval from large scale area quickly and accurately is an important research in remote sensing fields. In this paper,a model is presented to estimate LAI of reed canopy from Landsat-5 TM image data. Firstly,the model classifies the background of reed canopy into soil and water,then calculates and output a lookup table (LUT) by use of FCR model. Following it,LAI mapping was conducted based on the BP neural network model,which was trained using the data of actual measurement and LUT. The results indicate that the method has strong nonlinear fitting ability,and is able to increase the accuracy of LAI results through reducing the background influence from background spectrum.

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    SIMULATION AND ANALYSIS OF BACKSCATTERING CHARACTERISTICS AND TYPE RECOGNITION OF CROPS BASED ON DUAL-FREQUENCY AND MULTI-POLARIZATION SAR DATA
    LI Xin-Wu, ZHAO Tian-Jie, ZHANG Li-Xin
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 68-73.   DOI: 10.6046/gtzyyg.2008.02.16
    Abstract   HTML   PDF (658KB) ( 2019 )

    Based on C-band ENVISAT|ASAR and L-band ALOS|PALSAR data obtained from Changping test site of Beijing in 2007,the authors used the MIMICS model to simulate and analyze the backscattering characteristics of spring maize,summer maize and fruit trees,then compared the simulation result with the backscattering coefficients extracted from the SAR image and,according to the difference in backscattering coefficients of crops,set up a binary tree of classification algorithm to discriminate and identify the spring maize and summer maize,with the overall classification accuracy up to 86.66%. The result indicates that the dual-frequency and multi-polarization data can provide multi-dimensional information for identification and classification of crops,and have significant potential and advantages for crop remote sensing.

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    A STUDY OF LAND DESERTIFICATION DYNAMIC CHANGE IN YELLOW RIVER BASIN
    SUN Yong-Jun, ZHOU Qiang, YANG Ri-Hong
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 74-78.   DOI: 10.6046/gtzyyg.2008.02.17
    Abstract   HTML   PDF (425KB) ( 1717 )

    Dynamic change information of land desertification in the Yellow River Drainage Area was extracted from remote sensing images of three different periods,which include MSS (1975),TM (1990) and ETM (2000). Investigation shows that land desertification mainly occurred in the northwestern part and the area of land desertification increased 10 653.22 km2  from 1975 to 2000,i.e.,about 426.12 km2 per year. It was the geological and climate conditions that controlled the distribution and dynamic change trend of land desertification. In addition,improper human activity accelerated the desertification trend.

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    A REMOTE SENSING MODEL FOR VEGETATION RESTORATION IN THE LOWER VALLEY OF THE TARIM RIVER
    NIU Ting, LI Xia
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 79-83.   DOI: 10.6046/gtzyyg.2008.02.18
    Abstract   HTML   PDF (429KB) ( 1475 )

    Taking MODIS,ETM and ASTER data obtained from the lower valley of the Tarim River in the period of 2000~2006 as the information source,the authors studied NDVI spatial and temporal variation regularity after water conveyance of the Kardayi section in the lower valley of the Tarim River from different time and space resolution angles. On such a basis,a NDVI prediction model of MODIS,ETM AND ASTER data obtained from different distances from the river and different periods was established. According to NDVI values predicted by the model,pixel dichotomy was used to perform inversion of vegetation coverage,whose precision was then verified with the investigation data obtained in the same year. It is shown that the average precision reached 82.88% or even higher. These achievements provide valuable reference data for the monitoring and prediction of the vegetation restoration in the lower valley of the Tarim River.

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    AN ANALYSIS OF TEMPORAL-SPATIAL FEATURES OFLAND USE AND LANDSCAPE PATTERN IN THELOWER REACHES OF THE HEIHE RIVER
    PAN Jing-hu,LIU Pu-xing
    PAN Jing-Hu, LIU Pu-Xing
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 84-87.   DOI: 10.6046/gtzyyg.2008.02.19
    Abstract   HTML   PDF (344KB) ( 1283 )

    Using remote sensing techniques,GIS,and landscape pattern analysis software FRAGSTATS,the authors studied temporal-spatial change characteristics of the land use and landscape patterns of Ejina basin in the lower reaches of the Heihe river on the basis of LandSat TM data obtained in 1986 and LandSat ETM+ data obtained in 2003. The driving factors for the changes were also analyzed.  The results show that the areas of grasslands,forestlands,water areas and cultivated lands were decreased during the 17 years,while the areas of the lands used for construction and the unused lands were remarkably increased. The extent of landscape fragmentation was decreased and its heterogeneity was obviously reduced. Moreover,the landscape diversity was also reduced and the landscape stability was lowered. The climatic warming-drying trend and the reduction of inflow to the lower reaches of the Heihe River constituted the main driving forces for land use and landscape pattern changes,and the unreasonable human activity accelerated this process.

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    THE INTERPRETATION OF FAULTS IN HANGJINQI AREA OF ORDOS BASIN USING MULTI-SOURCE RS IMAGES
    YAN Rui, ZHANG Jing-Fa, JIANG Wen-Liang, JIAO Meng-Mei
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 88-91.   DOI: 10.6046/gtzyyg.2008.02.20
    Abstract   HTML   PDF (527KB) ( 1434 )

    Remote Sensing images can reflect figure features and spreading regularities of many geological factors intuitively,and display concealed structures and movable structures effectively. This paper describes the general tectonic structure of Ordos and the tectonic setting of Hangjinqi and interprets the RS images of Hangjinqi with the aid of information extracted by such means as texture analysis and fusion. Based on characteristics of such factors as hydrographic nets,tones,textures,and geomorphic and lithologic elements,the authors consider that there exist two conjugated fractures and two circular faults as well as another set of NNW-trending fractures in Hangjinqi. These fractures interlace with each other and form a special tectonic system favorable for mineralization. These structures resulted from the compression by joint tectonic stress from south and north.

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    THE APPLICATION OF RASTER DATA SPATIALANALYSIS TO URBAN LAND GRADING
    LIN Xian-Cheng, YANG Wu-Nian
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 91-101.   DOI: 10.6046/gtzyyg.2008.02.21
    Abstract   HTML   PDF (348KB) ( 1637 )

    The spatial analysis of raster data makes up the basis of GIS spatial analysis,and is also the kernel of the ArcGIS spatial analysis module. The authors studied the application of raster data spatial analysis to urban land grading in the city of Dazhou,Sichuan Province,which included the partition of the grading cell,the obtaining of all kinds of distances in the process of grading,the calculation of the effective values of all kinds of grading elements and the integration of effective values as well as the drawing of all kinds of effective value contours. It is concluded that the raster data spatial analysis tool can play a very important role in the urban land grading,and therefore has broad prospects in future application.

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    CBERS IMAGERY CLASSIFICATION BASED ONDECISION TREE AND DERFORMANCE ANALYSIS
    YUAN Lin-Shan, DU Pei-Jun, ZHANG Hua-Peng, ZHANG Hai-Rong
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 92-98.   DOI: 10.6046/gtzyyg.2008.02.22
    Abstract   HTML   PDF (746KB) ( 1403 )

    In order to explore the application of China-Brazil Earth Resources Satellite (CBERS) remote sensing data to urban land cover/land use analysis,the authors developed the decision tree classifier,whose generation strategy is discussed in detail in this paper. With Xuzhou city as the study area,five features,i.e.,near-infrared band,Global Environment Monitoring Index (GEMI),NDVI,and the first and second principal components,were extracted and used for urban land use classification. On the basis of experiments,the decision tree was designed based on prior knowledge and statistical analysis,and a new interactive decision tree generation strategy was developed to optimize threshold selection. A comparison of the classification results with results of Maximum Likelihood Classifier (MLC) and Support Vector Machine (SVM) classifier shows that the decision tree classifier that uses multiple features is effective in land use classification from CBERS imagery.

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    THE RELATIONSHIP BETWEEN NDVI CHANGE ANDLAND USE IN GUANGZHOU CITY
    ZHENG Rong-Bao, ZHUANG Jian-Shun, ZHANG Jin-Qian
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 102-108.   DOI: 10.6046/gtzyyg.2008.02.23
    Abstract   HTML   PDF (907KB) ( 1452 )

    Urbanization is the main factor responsible for the driving force of  NDVI  change. Based on the atmospheric correction by means of the “6S” model,the authors obtained the NDVI data and land use maps from TM imagery. These data were used to study the correlative relationship between NDVI change and land use in Guangzhou City as well as relevant problems. The results show that the vegetation coverage in Guangzhou decreased continuously from 1990 to 2000 but began to increase slowly afterwards. The decrease rates were different in space and were consistent with the city development pattern. The land use degree and city expansion indexes remained increasing after 2000. The model of quantitative relationship with a high adjusted R2 of 0.88 was simulated by using associative analysis,and the result shows that the vegetation decrease is highly related to the activities of human beings in Guangzhou City. Much research work remains to be done in future.

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    GIS
    DESIGN AND STUDY OF AGRICULTURAL LAND GRADATIONINFORMATION PUBLICATION SYSTEM BASED ON .NET AND ARCIMS
    LI Guang-Min
    REMOTE SENSING FOR LAND & RESOURCES. 2008, 20 (2): 109-111.   DOI: 10.6046/gtzyyg.2008.02.24
    Abstract   HTML   PDF (446KB) ( 883 )

    In order to solve the problems existent in information sharing,updating and maintenance of agricultural land gradation results,this paper presented a solution based on the Asp.NET technique and ArcIMS platform. On such a basis,the Information Publication System of Gradation on Agricultural Land (IPS-GAL) was designed and implemented.

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