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  • Table of Content
       , Volume 9 Issue 4 Previous Issue    Next Issue
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    Applied Research
    THE APPLICATION OF MULTI-TEMPORAL RADARSAT DATA TO PADDY FIELD CLASSIFICATION IN ZHAOQING AREA, GUANGDONG PROVINCE, CHINA
    Liu Hao, Shao Yuan, Wang Cuizheng, Brian Brisco, Gordon Staples
    REMOTE SENSING FOR LAND & RESOURCES. 1997, 9 (4): 1-6,13.   DOI: 10.6046/gtzyyg.1997.04.01
    Abstract   HTML   PDF (1537KB) ( 890 )

    It gets a good result, that the multi-temporal Radarsat data are applied to paddy Field Classification in Zhaoqing area, Guangdong province, China. The discrimination of paddy field can reach a high accuracy, and the rotation process in paddy field can also be inferred easily. This paper demonstrate the latest development in this experimental research. Emphasis has been placed on the potential of neural network classifier's application to SARimage processing and the optimum Radarsat data selection for paddy monitoring in the southern China.

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    STUDY FOR THE CHARACTER OF NDVI TIME-SERIES VARIATION OF PINE CATERPILLAR MOTH INJURY REGION BY NOAA SATELLITE IMAGE
    Yang Junquan, Chen Shanwen, Shen Jianzhong, Zhang Yuanfei, Mo Weihua, Lin Shaoxiong
    REMOTE SENSING FOR LAND & RESOURCES. 1997, 9 (4): 7-13.   DOI: 10.6046/gtzyyg.1997.04.02
    Abstract   HTML   PDF (432KB) ( 878 )

    Using multi-temporal NOAA-AVHRRdata, combine with historical data, this paper deals with how to use NDVIto monitor and forecast pest which mainly caused by pine caterpillar moth (Dendrolimus punctatus walker). First, geometric correction and registration for the images were made; Second, through extracting image data and rejecting cloud contamination pixels in monitor regions, all monitor regions were separated into different districts according to the features of geography and climate, then every district was separated into pest injury and non-injury areas; At last, NDVIvalues of every pixels were computed, the statistic values about two areas were computed and time-series curves of NDVIstatistics about two areas were compared. It was discovered that time-series curves of NDVIaverage value can be used to monitor forest pest happening, time-series curves of NDVIvariation coefficient can be used to forecast. In the end, the paper provids the prospect of using NOAA-AVHRRimages to monitor and forecast forest pest injury.

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    REMOTE SENSING MONITOR STUDY ON POLLUTED VEGETATION STATUS FROM ACID PRECIPITATION POLLUTION IN CHONGQING CITY
    Ma Xiangping, Xian Mailong, Lu Lushi, Sun Shunxin, Zhang Dunhu, Wang Hui
    REMOTE SENSING FOR LAND & RESOURCES. 1997, 9 (4): 14-20.   DOI: 10.6046/gtzyyg.1997.04.03
    Abstract   HTML   PDF (399KB) ( 975 )

    The polluted vegetable status from acid precipitation pollution in Chongqing city were fully monitor studied by Remote sensing. The correlation among biological monitor, traditional monitor and remote sensing monitor were found. By surveying of remote sensing of aerial coluor-infrared, vegetable types were classed and delineated according to its polluted degress. At last, the area of its distribution were calculated.

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    THE APPLICATION OF TM AND SAR AS WELL AS AIRBORNE RADIOACTIVE DATA TO PROSPECT FOR URANIUM DEPOSIT OF SANDSTONE TYPE
    Dong Wenming, Huang Xianfang, Xie Zhidong, Huang Shutiao, Pan Wei
    REMOTE SENSING FOR LAND & RESOURCES. 1997, 9 (4): 21-25.   DOI: 10.6046/gtzyyg.1997.04.04
    Abstract   HTML   PDF (895KB) ( 928 )

    Based on the theory of uranium deposit of sandstone type, the methods of IHStransformation and band ration were used in order to extract the information, such as uranium source, alimentation-runoff-discharge system as well as alteration from the Landsat TM, JERS-1 SARand airborne radioactive data which is related to the formation of uranium deposit. At last, the author evaluates the metallogenetic prospective and forecasts a potential area of interest.

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    STUDIES ON THE DEVELOPMENT DEGREE DIVISIONS OF GEOLOGICAL HAZARD MUD-ROCK FLOW、ROCKSLIDE、 COLLAPSE OF HEBEI MOUNTAINS AREA
    Qiao Yanxiao, Guo Qingshi
    REMOTE SENSING FOR LAND & RESOURCES. 1997, 9 (4): 26-32.   DOI: 10.6046/gtzyyg.1997.04.05
    Abstract   HTML   PDF (407KB) ( 954 )

    Based on using remote sensing technique to study in detail geological hazard dominated by the mud-rock flow in the mountains area of Hebei Province, the method of multi-factor comprehensive judgment is used for the development degree divisions of geological hazard in this paper. In the meantime, some important geological hazard areas to be monitored and controlled are delimited. This result provides a scientific basis for the surveillance and control of geological hazard in order to reduce the damage caused by disaster and provide disaster relief etc., this result has great practical value.

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    OPTIMIZATION STUDY OF GOLD PROSPECT AREAS IN THE SOUTHERN OF HAINAN PROVENCE USING REMOTE SENSING INFORMATION
    Ma Yueliang, Xu Ruisong
    REMOTE SENSING FOR LAND & RESOURCES. 1997, 9 (4): 33-38,53.   DOI: 10.6046/gtzyyg.1997.04.06
    Abstract   HTML   PDF (302KB) ( 1033 )

    In the vegetation area, to extract mineralization information from remote sensing data is still great difficult at present. This paper, based on the theory of remote sensing biogeochemistry, introduces how to extract the abnormal information of structure, alteration and vegetation from multi-source remote sensing data. The gold prospective areas were successfully selected, and its reliability was tested and verified by field work. This provides a new way for solving the similar problem.

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    INTEGRATED RESEARCH METHOD OF BASIN BOUNDARY MAINLY BASED ON REMOTE SENSING IN THE EARLY STAGE EVALUATION OF OIL-GAS BASIN
    Xie Qingyun, Fang Jie, Wang Jing
    REMOTE SENSING FOR LAND & RESOURCES. 1997, 9 (4): 39-46.   DOI: 10.6046/gtzyyg.1997.04.07
    Abstract   HTML   PDF (548KB) ( 866 )

    There are hundreds of basins which still stand at their beginnings of petroleum exploration in China, so methodology research of early stage basin evaluation is of momentous current significance. The paper discusses systematically the integrated research method of basin boundary, which is very important in the early stage evaluation of basin. To delimit basin boundary, it points out that there are three mainsteps: ① Analysis of basin structure style; ② Processing and interpretation of geophysical data; ③ Integrated basin boundary delimitation by remote sensing technique combined with geophysical data. In the research of basin boundary, remote sensing should be taken as the main means and data integration should be taken as the main thought. Mainly based on remotely sensed and gravity data, the delimitation of the boundary of Baise Basin, China, is given as an example in the paper.

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    Technology and Methodology
    AUTOMATIC RELATIVE ORIENTATION OF MULTI-ANGLE REMOTE SENSED IMAGERY CONDUCTED BY GPS
    Gao Feng
    REMOTE SENSING FOR LAND & RESOURCES. 1997, 9 (4): 47-53.   DOI: 10.6046/gtzyyg.1997.04.08
    Abstract   HTML   PDF (364KB) ( 860 )
    With the development of aviation and computer science, Multi-angle remote sense has become a new focus of fundamental research in remote sense. Different from traditional observed method, multi-angle remote sense provides not only the spectrum information of ground object but also structure feature, and becomes one of the most important quantitative analysis ways of remote sensed data. Unfortunately multi-angle remote sense also make the image process more complex. The registration of multi-angle remote sensed image is one of the most difficult steps. This paper presents a new method to automatic register multi-angle image and has applied to POLDER (Polarization and Directionality of Earth's Reflectance) data. First, we use GPSto conduct object's primary position which orientation accuracy was estimated about 100 meters. Second, we use image grey and structure feature to register again. The final result was sure to better than 30meters. At last, these control positions was used to register multi-angle images and obtain BRDF (Bidirectional Reflectance Distribution Function) information of aerial platform. The process of aerial BRDFwill discuss in another paper.
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    A METHOD FOR DETECTING CLOUD PIXELS ON NOAA-AVHRR IMAGE USING THREE-DIMENSION STATISTIC GRAPH AND SET DISCRIMINATION
    Yang Junquan, Shen Jianzhong, Mo Weihua, Zhang Yuanfei, Chen Shangwen, Lin Shaoxiong
    REMOTE SENSING FOR LAND & RESOURCES. 1997, 9 (4): 54-55.   DOI: 10.6046/gtzyyg.1997.04.09
    Abstract   HTML   PDF (287KB) ( 1092 )
    The detection of cloud pixels is the essential for monitoring resources and environment of the earth using NOAA-AVHRRimage. The paper analyses the feature of the clouds on NOAA-AVHRRdata by instances, draws 3D-statistic graph according to the feature indexes, and decides the thresholds of cloud pixels directly from the graph. The thresholds are regarded as the setting condition for detecting the cloud pixels automatically. The advantages of above method are higher sensitivity and better stability and that the viewing for the distribution of cloud pixels is more directly.
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