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  • Table of Content
       , Volume 24 Issue 2 Previous Issue    Next Issue
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    Review
    The Progress in the Study of Topographic Radiometric Correction Models
    WANG Shao-nan, LI Ai-nong
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 1-6.   DOI: 10.6046/gtzyyg.2012.02.01
    Abstract   HTML   PDF (674KB) ( 2429 )
    In this paper, the authors reviewed the progress in such models of topographic radiometric correction as empirical models,physical models and semi-empirical models, and then discussed some problems of existing models in three aspects, i.e., the input parameters, the hypothesis conditions and the evaluation methods of the models. Finally,the possible improvements of the models in the future were proposed, such as combining multiple-source images,image enhancement or information filling to improve the accuracy of the models and considering the introduction of new mathematical statistical methods for accurate quantitative evaluation. Some proposals are also put forward about improving the method for recovering the information of sun-shaded areas,especially in areas with rugged terrain.
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    Technology and Methodology
    The Application of Hyper-spectral Data and RBF Neural Network Method to Retrieval of Leaf Area Index of Grassland
    BAO Gang, QIN Zhi-hao, ZHOU Yi, BAO Yu-hai, XIN Xiao-ping, HONG Yu, HAI Quan-sheng
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 7-11.   DOI: 10.6046/gtzyyg.2012.02.02
    Abstract   HTML   PDF (931KB) ( 1999 )
    In accordance with the 120 sites of grassland canopy spectral reflectance and the leaf area index (LAI) data collected by Chinese Academy of Agricultural Science,the method of Radial Basis Function (RBF) neural network was developed for the prediction of LAI after the compression of spectral reflectance using principal component analysis (PCA).The PCA results show that the cumulative reliability of the first 9 PCs is up to 99.782%,covering the majority of original spectral information. The 120 sites of LAI and 9 PC samples were classified randomly for training dataset (90 sites) and predicting dataset (30 sites),and were used to establish the neural network and predict the LAI, respectively. The results show that the accuracy rate of training data is up to 100% (RMSE=0.009 6,R2=0.999).The root mean square error (RMSE) and correlation coefficient (R2) for the prediction dataset are 0.839 and 0.218 6 respectivdg, thus achieving more preferable results and improved the accuracy (RMSE=0.416 5,R2=0.570)of the traditional multiple linear regression method.
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    Research on Algorithm of Cloud Detection for HJ-1B Image Based on Dynamical Thresholding
    HAN Jie, YANG Lei-ku, LI Hui-fang, LIANG Hong-you, MA Xiao-hong, XIE Yu-juan
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 12-18.   DOI: 10.6046/gtzyyg.2012.02.03
    Abstract   HTML   PDF (3063KB) ( 1348 )
    Through analyzing the annual volatility of cloud detection thresholds and integrating the band characteristics of HJ-1B,the authors proposed a new algorithm of cloud detection for HJ-1B image based on dynamical thresholding according to the spectral standard deviation anomaly. Using image registration,band math,linear regression and error analysis,the authors acquired the cloud abnormal regions which could be used to remove cloud pixels from the image. The results show that this approach can detect cloud pixels over different periods and in different scenes successfully,thus promoting the use of HJ-1B data and improving the precision of image classification.
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    Airborne LiDAR Strip Adjustment Research: Based on Model Parameters and Ground Control Points Data
    WANG Sheng-yao, LIU Sheng-wei, CUI Xi-min, GUO Da-hai, ZHENG Xiong-wei, LU Xiao
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 19-22.   DOI: 10.6046/gtzyyg.2012.02.04
    Abstract   HTML   PDF (1016KB) ( 1807 )
    Although preprocessing surface point cloud data obtained by airborne LiDAR measurement technique can correct some systematic errors, the output point cloud data may still have some remnants of systematic errors between air stripes. Therefore, the errors must be checked and corrected prior to the utilization of DEM and other related digital products obtained from airborne LiDAR data. This paper thus analyzed several adjustment methods, summed up the technical process of strip adjustment based on the twelve-parameters model, and compared the results of studying the problem whether the ground control points are needed or not after the adjustment. It is shown that adjusting with ground control points can not only improve the internal accuracy but also improve the external accuracy effectively.
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    Object-based Point Clouds Classification of the Vegetation and Building Overlapped Area
    XU Hong-gen, WANG Jian-chao, ZHENG Xiong-wei, WU Fang, LI Qian
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 23-27.   DOI: 10.6046/gtzyyg.2012.02.05
    Abstract   HTML   PDF (1088KB) ( 2041 )
    This paper proposes an object-oriented point clouds classification method for solving the difficult classification problem for the overlapping between vegetation and buildings based on reviewing current status of LiDAR point clouds classification approaches. In the proposed method, the point clouds are firstly separated into ground points and non-ground points through adaptive TIN filter method, and the DTM is obtained. Second, a triangle network is constructed for non-ground points higher than DTM. The non-ground point clouds could be divided into multi-objects by removing longer edges (edge between ground and object). Then, the object is judged to decide whether it belongs to vegetation or building according to its information entropy of triangle network slope. Finally, for objects difficult to be distinguished from other objects, the overlapped area between vegetation and buildings is extended by geometric shape of buildings, so that the accuracy of point clouds classification of the overlapped area could be improved. The experiment results show good classification performance for buildings and vegetation, and the accuracy reaches 87%.
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    An Automatic Registration Method of Remote Sensing Imagery Based on FAST Corner and SURF Descriptor
    LI Hui, LIN Qi-zhong, LIU Qing-jie
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 28-33.   DOI: 10.6046/gtzyyg.2012.02.06
    Abstract   HTML   PDF (1746KB) ( 2266 )
    An automatic geometry registration method based on Features from Accelerated Segment Test (FAST) corner detector and Speeded Up Robust Features (SURF) is proposed in this paper. Firstly, applying HSI transform on both the reference image and the image to registration, and then building gauss pyramid of the images. Secondly, detecting and extracting the FAST corner points of both images, and calculating the SURF descriptors of the corner points, following by searching match point pairs by K-D tree. Thirdly, iteratively using partial minimum least squares to remove error point pairs and then calculate the geometry transform coefficients. Lastly, excuting the geometry transform to get the registration image. An experiment on two groups of images was performed, in which the proposed method was respectively compared with the automatic registration method based on SURF features and the method used in ENVI software to obtain ground control points automatically, and the results show that the proposed method can get more match points and obtain higher geometric accuracy, except which is slightly inferior to SURF algorithm in scale invariance.
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    Technology and Methodology
    A Comparative Study of Extraction Methods for Alteration Information Based on ETM+
    ZHANG Nan-nan, ZHOU Ke-fa, CHEN Xi, LI Hong
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 34-40.   DOI: 10.6046/gtzyyg.2012.02.07
    Abstract   HTML   PDF (3319KB) ( 1313 )
    In order to understand,grasp and apply the characteristics of altered wall rock and the original rock from microcosmic and macroscopic angles and look for large deposits or large ore districts,the authors summarized the common extraction models of alteration information,combined the principal component analysis (PCA) with support vector machines (SVM) to establish the MASK process-PCA-SVM(MPS) model,applied and comparatively studied these models in Hatu area of Xinjiang,and made use of the two methods to verify the extraction results. The results show that the extracting results of the common models are rather poorly consistent with the known deposits, but the alteration information extracted by MPS model is better concordant with the known mineral deposits and altered belts,with the coincidence rate arriving at 86.51%. The combination of geological experts' knowledge with geological maps and a known anomaly spot reveals that the result of MPS model is in accord with the geological fact. Therefore, the extracting precision based on MPS model is higher than that of the common models, and the effect of application is fairly good in the study area. The model proposed in this paper provides a new idea for extracting remote sensing alteration information in the future.
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    Technology and Methodology
    A Building Segmentation Algorithm Based on Mathematical Morphology and Multi-scale Segmentation
    YU Xue-qin, ZUO Xiao-qing, HUANG Liang
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 41-44.   DOI: 10.6046/gtzyyg.2012.02.08
    Abstract   HTML   PDF (2589KB) ( 1618 )
    Multi-scale segmentation approach is a relatively mature and stable algorithm in object-oriented image analysis algorithms; nevertheless, the problems of partial segmentation inaccuracy and low segmentation efficiency remain existent in this means. In view of this situation, the authors propose an algorithm combining the mathematical morphological operation with multi-scale building segmentation in this paper. First, the Gaussian filter is used to filter the image. And then, the mathematical morphological operation is used to erode the image. Finally, the multi-scale segmentation algorithm is applied to the image to extract the buildings. Experiments were conducted on the QuickBird image of a local area in Kunming, and the results show that the algorithm presented in this paper is more accurate and efficient than the traditional algorithms,and is thus of reference significance for similar segmentation work.
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    A Method to Destripe HJ-1A HSI Data Based on Nomalized Grey Level
    LAN Qiong-qiong, ZHANG Li-fu, WU Tai-xia
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 45-49.   DOI: 10.6046/gtzyyg.2012.02.09
    Abstract   HTML   PDF (2447KB) ( 1948 )
    The first national self-developed Hyper-Spectral Imaging (HSI) sensor was aboard on HJ-1A satellite which was launched on March 30, 2009 successfully. The HSI data quality was influenced by the stripe noise in the first 20 spectral bands severely. It is an urgent need to study the method to destripe the HSI data. In this paper, a new destriping method was developed based on an analysis of the main causes and characteristics of the stripe noise in the hyperspectral images. The method firstly devised a filter window to separate the random noise and stripe noise. Secondly, a look-up table between the gray level of each column and that of the standard column was calculated to destripe the stripe noise of the HSI data. The results indicate that this method can remove the stripe noise and random noise effectively and at the same time keep the spectral radiation information properly.
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    A Study of Enhanced Index-based Built-up Index Based on Landsat TM Imagery
    WU Zhi-jie, ZHAO Shu-he
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 50-55.   DOI: 10.6046/gtzyyg.2012.02.10
    Abstract   HTML   PDF (669KB) ( 2760 )
    A new method for extraction of built-up land information both in suburban area and in urban district by using Landsat TM/ETM+ imagery is proposed in this paper. Firstly, to suppress the information of bare soil with the middle-infrared(TM7), near-infrared(TM4) and green band (TM2), it is necessary to build a secondary index, which is called normalized difference bareness and built-up index(NDBBI). At the same time, to enhance the information of bare soil from existing indices of bare soil index(BSI)and modified normalized difference water index(MNDWI), another secondary index is built, which is called enhanced bare soil index(EBSI). Finally, the indices of NDBBI, EBSI, SAVI and MNDWI are applied to constructing a new index for delineating built-up land features in satellite imagery, which is called enhanced index-based built-up index(EIBI). The new index(EIBI)can be employed to extract the built-up land information both in suburban area and in urban district. This approach has been successful in Fuzhou and Zhangzhou experimental regions. Built-up features can be extracted objectively and sufficiently with the accuracy above 90%.
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    Technology and Methodology
    Automatic Extraction of Karst Landscape Elements Based on SPOT 5 Image
    YANG Shu-wen, XIE Fei, FENG Guang-sheng, LIU Tao
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 56-60.   DOI: 10.6046/gtzyyg.2012.02.11
    Abstract   HTML   PDF (3473KB) ( 1510 )
    To study the geographical features and image features of peak-cluster, peak-forest and karst depression, this paper puts forward some remote sensing indices based on background values of remote sensing images, such as vegetation index, soil brightness index,and PC1 of principal component transformation of the image and terrain data. Meanwhile,the integrated calculation method of remote sensing indices is proposed, and the automatic extraction model of remote sensing is created. The integrated calculation method of the indices could effectively increase spectral differences between peak-cluster, peak-forest and other surface features. The gray values of peak-cluster and peak-forest are the highest in the image so as to obtain segmenting value for accurate extraction of them based on automatic selection algorithm of threshold. Based on automatic extraction model of remote sensing,this paper puts forward some information of peak-cluster and peak-forest. On such a basis,karst depression information is extracted. Experimental studies show that the method has high accuracy and efficiency of extraction.
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    Simulation of Mountain Population Distribution Based on Multi-source Spatial Data
    CAO Wei-chao, TAO He-ping, TAN Li, ZHANG Yun, DONG Xue-zhi
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 61-67.   DOI: 10.6046/gtzyyg.2012.02.12
    Abstract   HTML   PDF (3432KB) ( 1563 )
    Population resources are key factors for the development of mountain areas. The distribution conditions of population resources reflect and determine to some extent socio-economic development and sustainable development of mountainous areas. In this paper, a newer population data spatialized model for mountain areas is developed based on existing methods and factors influencing population distribution of mountain areas. Based on population census data in 2007, this paper analyzed the relationships between the distribution of residential areas and terrain, land use, roads, and rivers by using the GIS software and taking the residential area as an important indicator to population distribution. Based on multiple spatial sources data fusion technology, the authors dealt with the concept of settlements buffer,assigned the weight values of affecting factors objectively, and realized the spatialization of population census data for mountain areas completely. The result shows that there are correlations of ratio (>0.80) between the population density generated by data fusion and the actual population census data at the township level, and the result is reliable. The finally generated grid population density lays an important basic data foundation for the further analysis of the pattern of population distribution in mountain areas.
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    Technology Application
    Remote Sensing Structural Alteration Information Extraction and Ore Prognosis: A Case Study of Laos
    LIU Wen-lan, ZHANG Wei
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 68-74.   DOI: 10.6046/gtzyyg.2012.02.13
    Abstract   HTML   PDF (3912KB) ( 2136 )
    The extraction of remote sensing geological anomaly information is one of the important research methods in GARS. In this paper,taking Laos as an example and using such means as geometric rectification,image mosaicking,color composite,space transformation and image enhancement processing to the ETM+ image in the study area,the authors extracted the geological structural information. The interference information was removed by mask technique,and the iron staining and hydroxyl alteration information was extracted by using principal component analysis and threshold segmentation techniques. Five perspective areas for mineral exploration were delineated on the basis of a synthetic analysis of the multi-geoscience information. The results can provide a reference and effective means for accelerating the geological prospecting work in Laos.
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    Internal Structure and Assemblage Features of Tectonic Slices in Dong Cuo Melange Zone
    WANG Chang-hai, LIU Deng-zhong, LIU Jin-long, HUANG Hui
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 75-78.   DOI: 10.6046/gtzyyg.2012.02.14
    Abstract   HTML   PDF (2096KB) ( 1254 )
    In order to make a thorough study of the Dong Cuo melange zone, the authors used remote sensing interpretation to divide the Dong Cuo melange zone into three secondary tectonic slices belts, and found that the three belts extend nearly in parallel in the plane, converge eastward and westward, and thrust southward one by one in profile. Field investigation shows that the interpretation results are in accordance with the practical situation, and the material composition and geometric structure of rocks in various slices are different. The ophiolite melange belt is the main belt in the Dong Cuo melange zone.
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    The Relationship Between the Increasing Anomaly of Sea Surface Temperature Before Earthquake and the Distribution of Oil and Gas Reserves in Northern South China Sea
    WANG Jie, ZHANG Deng-rong, XU Rui-song
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 79-84.   DOI: 10.6046/gtzyyg.2012.02.15
    Abstract   HTML   PDF (3376KB) ( 1382 )
    This paper aims at interpreting the formation of the temperature anomaly of the South China Sea before earthquake. The relationship between the high temperature and the occurrence of oil and gas reserves and gas hydrates is also discussed according to the mechanism of high temperature shown in images. It is found that the temperature increasing probability comes to 64% before earthquake in areas where the oil and gas reserves have been found. It is an indirect method for the exploration of oil and gas resources based on temperature increasing caused by methane emitted from leakage of oil and gas before earthquake. The areas of high temperature shown in the images are mainly distributed in the abyssal zone of Zhujiang River mouth basin, Taixinan (southwest Taiwan) basin, Xisha Islands trough, Bijianan (south Eijia Mountain) basin of the South China Sea, showing probable potentials of oil and gas reserves and gas hydrates.
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    The Extraction of Altered Mineral Information Based on ASTER Data: A Case Study of the Huangshan Copper-Nickel Ore District in Hami
    ZHANG Zhi-jun, GAN Fu-ping, LI Xian-qing, XU Yan-feng, LIANG Shu-neng
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 85-91.   DOI: 10.6046/gtzyyg.2012.02.16
    Abstract   HTML   PDF (4117KB) ( 1494 )
    Choosing the Huangshan copper-nickel ore district as the study area and ASTER data as the data source,the authors analyzed the spectral characteristics of the typical features in ASTER bands,designed the process of extraction of alteration information, and discussed in detail "de-interfered anomalous principal component thresholding technique based on spectral angle mapping (SAM)",which was applied to the four groups of common altered minerals containing different ions or groups,and the technique included the extraction of the alteration information by principal component analysis (PCA)and de-interfered anomaly by SAM. The four groups of common altered minerals are as follows:minerals containing Fe ion(goethite and hematite),minerals containing CO32- group(calcite and dolomite),minerals containing Al-OH group(muscovite,montmorillonite and kaolinite) and minerals containing Mg-OH group(chlorite and epidote).The results of extraction show that the way of "de-interfered anomalous principal component thresholding technique based on SAM" is feasible and the result is consistent with the reality. It is proved evidently that ASTER data have great capability of depicting minerals in the short wave infrared range.
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    Vegetation Cover Change Detection in the Cropping Area Based on TM Image
    WANG Xiao-dong, HE Hao, HOU Dong, SUN Guan-nan, ZHU Wen-quan
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 92-97.   DOI: 10.6046/gtzyyg.2012.02.17
    Abstract   HTML   PDF (852KB) ( 1248 )
    In this paper, a change intensity indicator of land cover based on cross correlogram spectral matching (CCSM) technique was employed to generate the change intensity image of the cropping vegetation cover area in North China between two TM images in different periods. It was first considered that the change intensity of image pixel of the two-order neighbor in the change intensity image obeyed the hidden markov random field model, and then the vegetation cover change area was extracted from the change intensity image using maximum a posteriori estimation of markov random field (MRF-MAP) model. The experiment has proved that the proposed method could precisely extract vegetation cover change and inhibit effectively the same object with different spectra due to exogenous noises in the cropping vegetation cover area. However, this method seems to perform unsatisfactorily over the water area.
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    A Comprehensive Analysis of Remote Sensing Geological Characteristics and Ore Prospecting Perspective of Luchun Area,Yunnan Province
    WANG Feng-de, ZHAO Zhi-fang, MAO Yu-jing, TAN Shu-cheng
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 98-104.   DOI: 10.6046/gtzyyg.2012.02.18
    Abstract   HTML   PDF (7819KB) ( 1463 )
    Luchun area in Yunnan Province is characterized by complex geological background,rugged terrain condition and thick vegetation coverage,and hence it is difficult to utilize traditional ground investigation methods for regional geological mapping. In this study,multi-source remote sensing data,such as TM,ETM+ and SPOT5, were adopted. Geological background was analyzed by extracting features from regional strata,rocks,and linear and circular structures,with emphasis placed on the 3D visualization technology. According to structural relationships and remote sensing image features,the study was focused on the analysis of regional stress as well. Finally, the prognosis of the mineral prospecting perspective was worked out by way of further research on typical ore deposits and extracting information related to mineralization from structure,lithologic character and altered anomaly of hydroxyl and iron ions. On such a basis,the geological information and prospecting clues are useful and valuable for deploying regional geological mapping.
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    Simulation Research on the Water Level of the Poyang Lake Based on World Wind Technology
    QI Xiao-ming, DU Pei-jun, WANG Ying-chun, JIN Ju-liang, XU Shan-jian
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 105-109.   DOI: 10.6046/gtzyyg.2012.02.19
    Abstract   HTML   PDF (2184KB) ( 1706 )
    World Wind is an open source (released under the NASA license) virtual globe developed by NASA. The program provides a platform for digital earth and 3D GIS. The realization of the compacted 2-3D coupling of multi-source data is one of the problems in the process of developing professional system based on World Wind. In the.Net development environment, taking World Wind as the simulation kernel, the authors developed the water level simulation plug-in, studied the 2-3D coupling of data technology, and realized the lake & channels’ flood inundation risk analysis and 3D roaming of the Poyang ecological economic development zone. The results show that the simulation system can realize smoothly the real-time information query at any point in such aspects as terrain elevation, water level and submerged depth, and navigation level. The submerged range of the Poyang Lake is also simulated under different water-control conditions. The results can serve the decision-making regulation of Poyang Lake water conservancy hub.
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    Fractal Application in Lithological Classification and Alteration Extraction
    ZHENG Gui-xiang, CHI Tian-he, LIN Qi-zhong
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 110-115.   DOI: 10.6046/gtzyyg.2012.02.20
    Abstract   HTML   PDF (4616KB) ( 1524 )
    In order to promote the application of multi-fractal theory to remote sensing exploration, this paper takes the West Junggar Region as the study area to build fractal dimension spectra by analyzing the characteristics of the region and the remote sensing image. Combined with spectra, the authors completed the lithologic classification and pyrite alteration extraction of the region. And then mineral targets of the region was identified with the support of the existing statistical data of mines and expert’s experience and knowledge. Practice has proved that the appropriate prospecting model and criteria established on remote sensing images of fractal theory and spectral characteristics can satisfactorily supply decision support to regional mineral exploration.
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    Land-use Classification of Islands Based on Decision-tree Method
    YANG Xi-guang, HUANG Hai-jun, YAN Li-wen, DU Ben-xu
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 116-120.   DOI: 10.6046/gtzyyg.2012.02.21
    Abstract   HTML   PDF (1355KB) ( 1249 )
    With Moye island of Rongcheng city in Shandong province as the study area, the authors investigated the application of decision-tree method to land-use classification based on SPOT 5 satellite data. The results show that the decision-tree method is suitable for classification,with the mean precision and Kappa index being 86.46% and 0.8414 respectively. A comparison with the other traditional classification methods shows that the precision of decision-tree method is obviously higher, suggesting that the method of decision-tree classification has better applicable potential than the other methods in land-use classification research.
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    Remote Sensing Investigation of Coal Mines in Xuanwei of Yunnan Province for Their Development
    NAN Jun-xiang, ZHAO Zhi-fang, HONG You-tang, DU Rui-ling
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 121-124.   DOI: 10.6046/gtzyyg.2012.02.22
    Abstract   HTML   PDF (2549KB) ( 1619 )
    In this study,the remote sensing survey was conducted for the coal mines in Xuanwei city (Yangchang,Dongshan,Haidai and Tianba) of Yunnan province. Based on the main data comprising the worldview-2 remote sensing image acquired in 2010,field verification,mining-right data and geological data,and supported by GIS,the authors systematically established the remote sensing interpretation signs of coal mines to interpret the mining situation. The results show that the distribution of coal-mining cave mouths is distinctly restricted in major coal-bearing strata and faults, and the cross-border mining cave mouths are commonly seen. The mining administration and management departments should take full account of the landform and geological conditions of the mines, change the scope of the mining rights for cross-border mines to promote the all-round improvement of the mining order.
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    The Detection and Analysis of Land Use Change in the Laoha River Basin During the Past Four Decades
    FANG Xiu-qin, REN Li-liang, LI Qiong-fang
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 125-131.   DOI: 10.6046/gtzyyg.2012.02.23
    Abstract   HTML   PDF (3744KB) ( 1223 )
    On the basis of the multiple remote sensing images of Landsat MSS, TM and ETM+ and other auxiliary data, two classification approaches of decision tree and support vector machine were applied to land use/cover classifications in the semiarid Laoha river basin over the past 40 years since the 1970s. The land use changes and their spatial distribution were analyzed quantitatively and mapped with GIS techniques. The results show that land use/cover maps in 1976, 1989, 1999 and 2007 could be generated based on the implementation of support vector machine classification with satisfying results. The analysis shows that land use has changed very obviously in the study area over the last 40 years. The areas of water body and grassland have decreased while rural and urban areas increased persistently. The cultivated land area has increased substantially. Forest land and fallow land have changed in fluctuation with a decrease on the whole. It’s obvious that the most remarkable change has been the interconversion of lands for agriculture (cultivated land), for forestry (forest land), and for animal husbandry (grassland). Moreover, the spatial distribution of the conversion was greatly different in different periods. An analysis of the intensity of land use changes indicates that the highest annual rate of land use change has been increased gradually and the annual intensity has been spatially heterogeneous. Moreover, the suburbs surrounding Chifeng city always have changed intensively during the past decades, suggesting the persistent urbanization of Chifeng city.
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    A Study of the Landscape Pattern Change of Longyan City Based on Multi-temporal Remote Sensing Images
    CHEN Xue-ling, CHEN Shao-jie, DU Pei-jun, XIA Jun-shi
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 132-137.   DOI: 10.6046/gtzyyg.2012.02.24
    Abstract   HTML   PDF (3274KB) ( 1306 )
    Landsat TM /ETM+ images of Longyan city were employed for landscape pattern classification by traditional MLC (maximum likelihood classification), DTC(decision tree classification) and SVM (support vector machine) techniques. A comparison between the three classification methods shows that the SVM classification method has outstandingly higher classification accuracy than the other methods. In combination with the theory of landscape ecology, therefore, the authors used the classification results of SVM to analyze the landscape pattern dynamic change of Xinluo district, Longyan city, from 1992 to 2008. The experimental results indicate that, from 1992 to 2008, the agricultural land of the main city proper of Xinluo district was reduced greatly due to its transformation into the built-up land, but the forest coverage remained good. Meanwhile, urban landscape component changed from the process of diffusion growth into agglutinate clustering process and the urban pattern was converted from unstable into stable. Overall, the urban landscape showed the tendency of less fragmentation, lower diversity and higher concentration, and the built-up land had become the main landscape type of Longyan city.
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    Three-dimensional Discriminate of Mine Hidden Geological Disaster Based on 3S Technology of Anning Phosphate Area
    DU Rui-ling, ZHAO Zhi-fang, HONG You-tang, NAN Jun-xiang
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 138-142.   DOI: 10.6046/gtzyyg.2012.02.25
    Abstract   HTML   PDF (1031KB) ( 1148 )
    With the Anning phosphate mine as the study area and on the basis of the existing interpretation of signs, the high resolution remote sensing images and ArcGIS software were used to delineate and calculate the areas of geological disaster and affected objects and verify the correctness or incorrectness of the information in field. This method is highly feasible and has effective visualization, and the results achieved can provide basic information and decision support for mining business owners and relevant authorities.
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    GIS
    A Study of Dynamic Visualization of Discrete Spatial-temporal Data on WebGIS Platform
    WANG Yi, ZHOU Xun, ZHOU Wei, LI Fei
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 143-147.   DOI: 10.6046/gtzyyg.2012.02.26
    Abstract   HTML   PDF (1781KB) ( 1451 )
    Most earth observation and monitoring data are discrete spatial - temporal data of massive volumes, and the efficient management, analysis and visualization of these data for decision making support constitute a very challenging task in information system construction. This study combines the latest techniques, such as OpenGL, Ajax and JavaScript on a WebGIS platform to flexibly manage and display various discrete data with fast integrated dynamic mode. The technology developed can be widely applied to monitoring various spatial-temporal discrete data such as environmental pollution diffusion data and making forewarning so as to support emergency decision-making.
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    The Design and Dvelopment of the Interpreting Marks Management System for Geological Disasters Based on 3D
    Wuyunqiqige, MA Wei-feng, ZHANG Shi-zhong, TANG Xiang-dan, LIU Wen-ting
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (2): 148-151.   DOI: 10.6046/gtzyyg.2012.02.27
    Abstract   HTML   PDF (1688KB) ( 1384 )
    Remote sensing has become an important technical means and method in the survey of geological disasters. This paper summarized the interpretation mark features of landslide and debris flow, built the data model of geological disaster marks and database, coded the geological disaster marks, and finally developed the management system of interpretation marks on geological disaster based on Virtual Globe. This system is valuable in effective storage and management of geological disaster interpretation marks and in improvement of the efficiency of remote sensing interpreting task.
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