Loading...
 
         Office Online
         Download
More>>  
         Links
More>>  
  • Table of Content
       , Volume 24 Issue 3 Previous Issue    Next Issue
    For Selected: View Abstracts Toggle Thumbnails
    Review
    Progress in the Methods for Extracting Aquaculture Areas from Remote Sensing Data
    CHENG Tian-fei, ZHOU Wei-feng, FAN Wei
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 1-5.   DOI: 10.6046/gtzyyg.2012.03.01
    Abstract   HTML   PDF (952KB) ( 2742 )
    Based on an analysis of remote sensing data sources, the authors classify the methods into five categories, i.e., visual interpretation, ratio of index analysis, correspondence analysis, spatial structure analysis, and object-oriented information extraction, and summarize their characteristics and application fields. The research direction and development trends are also predicted, which include such application fields as hyper-spectral remote sensing data, artificial intelligence, expert systems and non-linear theory.
    References | Related Articles | Metrics
    Technology and Methodology
    A Method to Retrieve the Oceanic Absorption Coefficient Based on Artificial Neural Network
    ZHU Jin-shan, LIANG Shi-ying, SU Xun-bo
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 6-10.   DOI: 10.6046/gtzyyg.2012.03.02
    Abstract   HTML   PDF (951KB) ( 1427 )
    The absorption coefficient of water is an inherent optical parameter and constitutes the foundation of research on water optics remote sensing. A method for retrieving the oceanic absorption coefficient using the data of remote sensing reflectance (Rrs) and based on the artificial neural network (ANN) is presented in this paper. The algorithm retrieves the oceanic absorption coefficient with 440 nm as its wavelength, using the situ data of remote sensing reflectance (Rrs) to establish BP neural network. 80% of the situ data of Rrs were used for training data set, and the other 20% were used for testing data set. The results show that making the right choice of the hidden layer joints, transfer function and train function is very important. If we choose the optimal hidden layer joints, transfer function and train function, the correlation coefficient between testing data and situ data can be as high as 0.978, which shows that the method for retrieving the oceanic absorption coefficient based on the artificial neural network is effective.
    References | Related Articles | Metrics
    The Method for Target Recognition from Natural Scene Images Based on Morphological Reconstruction
    HOU Yun-feng, YANG Feng-jun, YANG Xiao-yu, WANG Yu-pu
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 11-15.   DOI: 10.6046/gtzyyg.2012.03.03
    Abstract   HTML   PDF (1339KB) ( 1443 )
    In this paper,a method for target recognition from natural scene images based on morphological reconstruction is presented and used to solve the problem of target recognition of the ground scene. Firstly, the definitions of grayscale reconstruction are illustrated and their performance evaluation for background suppression is demonstrated, and an input image is processed using morphological grayscale reconstruction. Then, the processed image is segmented and regions of interest are obtained. Lastly, the target is recognized by features extraction for regions of interest and matching based on model features of the target. The experiment results show that the proposed method can effectively recognize the target from complex natural scene.
    References | Related Articles | Metrics
    Interpretation of Landform of Sinuous Rilles on the Moon Based on Multi-data of Remote Sensing
    LI Li, LIU Shao-feng, WEI Wei, XI Xiao-xu, DU Shou-yin
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 16-21.   DOI: 10.6046/gtzyyg.2012.03.04
    Abstract   HTML   PDF (1132KB) ( 1711 )
    Sinuous rilles are the most easily recognizable small volcanic features on the moon, which can provide information on volcanic history and evolution of the moon. Lunar orbiter laser altimeter (LOLA) data were used in this paper to supplement Chang'E CCD and lunar reconnaissance orbiter camera (LROC) images for making detailed observations of morphologic and topographic characteristics of sinuous rilles in Aristarchus region. Clementine images from three bands of the ultraviolet-visible camera were used to analyze the compositional properties of sinuous rille substrates below the pyroclastics. Topographic data lend support to the theory that sinuous rilles were formed by the thermal erosion of the basalt lava, the compositional property of sinuous rille substrates is the same, and the slope rather than the regional structural pattern is the dominant factor controlling the rille.
    References | Related Articles | Metrics
    Technology and Methodology
    POS System Boresight Misalignment Calibration with Bundle Adjustment Method
    ZHAO Hai-tao, ZHANG Bing, ZUO Zheng-li, CHEN Zheng-chao
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 22-28.   DOI: 10.6046/gtzyyg.2012.03.05
    Abstract   HTML   PDF (1122KB) ( 2131 )
    The boresight misalignment between inertial measurement unit (IMU) and sensor should be calibrated firstly for direct georeferencing (DG) of aerial photogrammetry. For this reason,the authors presented a simple and convenient boresight calibration model of position and orientation system (POS)-supported bundle block adjustment,and derived the fundamental error equation. The calibration result of this method is accordant with the calibration result of the commercial software CALQC in two empirical blocks. The method of boresight misalignment calibration proposed in this paper is correct and effective, as evidenced by a comparison with the DG results and y-parallax. The exterior orientations corrected with the calibration result can be directly used for mapping the topographic map at the scale of 1:10 000 in high mountain areas.
    References | Related Articles | Metrics
    Filtering of Airborne LiDAR Data for Cityscapes Based on Segmentation
    CHENG Xiao-qian, FAN Liang-xin, ZHAO Hong-qiang
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 29-32.   DOI: 10.6046/gtzyyg.2012.03.06
    Abstract   HTML   PDF (1366KB) ( 1284 )
    For the purpose of obtaining high precision DEM, this paper proposes a filtering algorithm of LiDAR data based on segmentation. Firstly, the data are divided into several segments and reliable seeds are selected according to edge detection, and then the ground is obtained by a certain growing rule. In order to test the filtering algorithms, the authors made experiments on several urban areas with different characteristics, and then analyzed the results qualitatively and quantitatively. The results show that the filtering method can effectively extract ground points from point cloud with high stability.
    References | Related Articles | Metrics
    Ship Wake Detection in ASAR Image Based on Modified Normalized Hough Transform
    GONG Biao, HUANG Wei-gen, CHEN Peng
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 33-37.   DOI: 10.6046/gtzyyg.2012.03.07
    Abstract   HTML   PDF (1103KB) ( 1673 )
    A ship wake detection method based on modified normalized Hough transform was proposed in this paper according to the fact that parts of ships and their wakes are nearly on a straight line in advanced synthetic aperture radar(ASAR)image. Experiments were made to verified the method. On the one hand,the peaks were modified in Hough transform field; on the other hand,the constraint conditions confirming initial and end points of ships were amended. The experimental results show that the method of wake detection in the ASAR image can more accurately detect ship wakes.
    References | Related Articles | Metrics
    Retrieval of Wetland Vegetation Biomass in Poyang Lake Based on Quad-polarization Image
    LIU Ju, LIAO Jing-juan, SHEN Guo-zhuang
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 38-43.   DOI: 10.6046/gtzyyg.2012.03.08
    Abstract   HTML   PDF (1375KB) ( 1673 )
    The Poyang Lake is the largest freshwater lake in China as well as an internationally important wetland. Long-term quantitative study of vegetation biomass in this area helps deepen our understanding of regional and global carbon balance. The authors investigated the approach and method of Radarsat-2C-Band quad-polarization imagery for biomass retrieval in wetland vegetation. The vegetation canopy scattering model was modified and used to simulate the backscattering characteristics. Polarization decomposition was adopted to prepare the testing data with the model output for BP neural network. After obtaining the retrieval values of vegetation biomass, the values were compared with the filed-measured values. The results show that the introduction of the output data of vegetation canopy scattering model and polarimetric decomposition technique to the BP neural network algorithm could reduce the retrieval error effectively, and that the Quad-polarization imagery has broad application prospect in the field of biomass retrieval.
    References | Related Articles | Metrics
    Technology and Methodology
    An Improved Wavelet Transformation Image Fusion Method and Evaluation of Its Fusion Result
    DONG Zhang-yu, ZHAO Ping, LIU Dian-wei, WANG Zong-ming, TANG Xu-guang, Liu Jing-yi
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 44-49.   DOI: 10.6046/gtzyyg.2012.03.09
    Abstract   HTML   PDF (1288KB) ( 2407 )
    On the basis of a summary and analysis of wavelet transformation remote sensing image fusion method, in combination with the advantages of local variance and partial differential weighted criterion, and in the light of the deficiencies of wavelet transform method in enhancing space texture information, this paper has proposed an improved wavelet transformation remote sensing image fusion algorithm. With IKONOS multi-spectral and panchromatic as fusion experiments data, the new algorithm fusion effect was comprehensively evaluated from the subjective, the objective and the object-oriented classification accuracy. The results show that the improved algorithm combined with advantages of the wavelet transform and local algorithm is quite satisfactory. It greatly remedies the defects of traditional wavelet fusion method in remote sensing image texture information loss and serves as a kind of efficient remote sensing image fusion method. With the utilization of the new image fusion method, the remote sensing image variance is raised from the original 98.28 to 164.32, the information entropy increases from 5.30 to 7.85, the average gradient rises from 1.972 to 8.807, and the image classification accuracy increases by 10.24%.
    References | Related Articles | Metrics
    Comparison of the Methods for Haze Elimination of GeoEye-1 Remote Sensing Image
    WU Shou-jiang, LI Liang, GONG Ben-xu, GONG Mei
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 50-53.   DOI: 10.6046/gtzyyg.2012.03.10
    Abstract   HTML   PDF (1029KB) ( 2875 )
    In the rainy and foggy areas,the images acquired by GeoEye-1 satellite are often affected by haze. Because of the influence of the absorption,refraction,reflection and scattering role of the haze on the electromagnetic waves,the image clarity is decreased. Therefore,it is necessary to eliminate the impact of the haze on the image as much as possible so as to effectively improve the quality of images. Using ENVI software as an image processing platform,the authors selected the "homomorphic filtering" and "wavelet transform" methods commonly used in China and abroad and the "band calculation composition" method proposed in this paper to make a comparative study of the effects of haze elimination for the GeoEye-1 image. The results show that the use of "band calculation composition" to remove the haze from GeoEye-1 image has a good effect.
    References | Related Articles | Metrics
    A Method of TM6 Band Pixel Decomposition Based on the Earth Surface Types
    WANG Fei, QIN Zhi-hao, WANG Qian-qian
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 54-59.   DOI: 10.6046/gtzyyg.2012.03.11
    Abstract   HTML   PDF (1268KB) ( 1356 )
    The pixel spatial resolution of TM6 is 120 m. With the information of the other TM bands,the authors can identify the earth surface types for each 30 m sub-pixel. And taking advantage of the fact that different types of earth surface have different characteristics of thermal inertia, the authors can determine the weight of each sub-pixel in the original pixel as well as the radiance value of the sub-pixel. Then the mono-window algorithm is used to calculate the temperature of the earth surface. Compared with the spatial distribution variation of surface temperature calculated by cubic convolution interpolation resampling method,the method proposed in this paper can get a better spatial distribution of the earth surface temperature.
    References | Related Articles | Metrics
    Road Change Detection Using Object-oriented Projective Interactive Partition
    LU Zhao-yi, ZUO Xiao-qing, HUANG Liang, LIU Jing
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 60-64.   DOI: 10.6046/gtzyyg.2012.03.12
    Abstract   HTML   PDF (1116KB) ( 1908 )
    In this paper the authors present an object-oriented change detection method which uses projective interactive partition to detect the change of the urban road. The QuickBird images acquired in different years were used in the experiment, on which multi-scale segmentation and hierarchical classification were carried out for urban road extraction according to the spectrum, shape and texture features. Then the object layers were established in the same detection, and they were the projection layers taking over the classification results of asynchrony images. Interactive partition was also realized on these layers. Finally the change detection results were achieved after judging the consistency of land feature categories. The experiment results show that the method of object-oriented change detection using projective interactive partition can extract and detect the urban road effectively.
    References | Related Articles | Metrics
    Application of the Temperature-Moisture Index to the Improvement of Remote Sensing Identification Accuracy of Mangrove
    ZHANG Xue-hong, TIAN Qing-jiu
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 65-70.   DOI: 10.6046/gtzyyg.2012.03.13
    Abstract   HTML   PDF (1218KB) ( 2062 )
    The identification accuracy of mangrove by using TM reflective bands is always low due to the similarity of spectra between mangrove and land vegetation,especially water-vegetation mixed pixels. Based on reflective and thermal infrared information in the TM images of different tide levels,the authors proposed temperature-moisture index(TMI). The analytical results show that the thermal infrared band and TMI can obviously improve the separability between mangrove and other objects based on the tide level information. The thermal infrared band and TMI can also significantly increase the classification accuracy of mangrove by using spectral angle mapping (SAM) supervised classification method in comparison with the classification features employed by other researchers. The Kappa coefficient increases by 0.14, and the commission error of mangrove class decreases by 19.9%,suggesting that the remote sensing identification accuracy of mangrove can be improved by using the information of tide level,thermal infrared band and TMI.
    References | Related Articles | Metrics
    Technology and Methodology
    Estimating Vegetation Coverage in the Source Region of Yarlung Zangbo River Based on TM Data
    SUN Ming, YANG Yang, SHEN Wei-shou, SU Xian
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 71-77.   DOI: 10.6046/gtzyyg.2012.03.14
    Abstract   HTML   PDF (1090KB) ( 1381 )
    In order to find out the grassland coverage in the source region of the Yarlung Zangbo River, the authors selected the Landsat5 TM images as the data source, and adopted the derived data from TM such as NDVI, RVI, VI3, PVI, DVI, MSAVI, SAVI and TM4/TM5 as the main factors. In combination with the field survey data of vegetation samples, the authors selected the factors of the highest correlation and the measured vegetation coverage values to construct the regression model, and calculated the vegetation coverage of the images with this model. Some conclusions have been drawn: 1 compared with some other evaluation indices, TM4/TM5 which is suitable for modeling has the highest correlation with grassland coverage, the change trend of TM4/TM5 is consistent with the measured coverage and it enhances the difference of reflectance of degraded grassland on spectral characteristics; 2 in the 10 grades of vegetation coverage, the largest size is the coverage from 10% to 20% and its area reaches 4 322.15 km2, which accounts for 49.27% of the total grassland area; the next is 10% to 20% and 20% to 30%, whose areas reach 2 238.53 km2 (accounting for 25.52% ) and 1 397.87 km2 (accounting for 15.94%) respectively. The area of the coverage above 50% is 195.96 km2 and accounts for 2.23% of the total grassland; 3 the high coverage grassland with coverage greater than 50% is mainly distributed in the elevation range from 4 426 m to 4 800 m, its area reaches 186.25 km2 and accounts for 95.04% of the total high coverage grassland, and it is related to the water distribution conditions.
    References | Related Articles | Metrics
    A Method for Automatic Extraction of Debris Flow Based on SPOT5 Image
    XIE Fei, YANG Shu-wen, LI Yi-kun, LIU Tao
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 78-83.   DOI: 10.6046/gtzyyg.2012.03.15
    Abstract   HTML   PDF (1369KB) ( 1980 )
    Based on achievements obtained by previous researchers,the authors put forward a method for automatically extracting debris flow based on SPOT5 image and DEM data. Firstly,this method uses integrated computing of three indices of remote sensing,i.e., the index of vegetation,the soil brightness index and the first principal component of the image after KL transformation,for the acquisition of a new principal component transformed image,and then extracts the bare land information containing debris flow by using automatic threshold selection algorithm. Secondly,on the basis of the DEM data at the scale of 1:10 000,the valley central lines are extracted by using the improved valley line extraction algorithm,and the valley range is figured out by using the mathematical morphology filtering algorithm. Finally,the suspicious debris flow pattern is matched with the valley range pattern, and the vectorized result is screened in the aspects of area and slope. On such a basis, the information of existing or potential debris flows is obtained. The experimental results show that the extraction model of debris information from SPOT5 image can accurately and effectively extract the debris flow information.
    References | Related Articles | Metrics
    A Method for Object-oriented Automatic Extraction of Lakes in the Mountain Area from Remote Sensing Image
    SHEN Jin-xiang, YANG Liao, CHEN Xi, LI Jun-li, PENG Qing-qing, HU Ju
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 84-91.   DOI: 10.6046/gtzyyg.2012.03.16
    Abstract   HTML   PDF (1615KB) ( 2272 )
    Traditional water-body information extraction is mainly based on the reflection and absorption spectral characteristics of the water body. By building and using all kinds of spectral index models which respond to the water spectral characteristics more obviously, the water body could be extracted in pixel-level. However, different types of water bodies have significantly different spectral and spatial patterns as well as spatial distributions. As for the mountain area image, the shadows of such objects as the mountain, snow, ice and bare rock make these global water spectral index models fail to get a satisfactory result. The object-oriented image analysis carries out remote sensing image segmentation first, and then analyzes the global and local characteristics of the water in such aspects as spectral and spatial patterns, spatial distribution, and spatial relationships so as to build the water extraction decision ruleset; finally, the water body information is extracted with the ruleset automatically. The Landsat TM image water extraction experiment in the eCognition software shows that the method can completely avoid the emergence of some errors of "sporadic water body" which often exist in the pixel-level threshold value extraction, and the mountain area lakes could be extracted automatically and efficiently, with the accuracy up to 95% or even higher in the cloud-free case.
    References | Related Articles | Metrics
    Land Use Change Detection Based on Class Spectral Change Rule
    WANG Yan, SHU Ning, GONG Yan, LI Xue
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 92-96.   DOI: 10.6046/gtzyyg.2012.03.17
    Abstract   HTML   PDF (1322KB) ( 1487 )
    This paper gives a proposal for land use change detection using high resolution remote sensing images based on class spectral change rules. Image segments and their class properties can be obtained by matching remote sensing images and land use map. Then the spectral distribution curve of each feature of the segments belonging to the same class is constructed for each image. Based on these curves, the spectral change rule of each class can be obtained by calculating fitting parameters of cubic polynomial. According to these parameters a change threshold is set and, through iteration, the image segments whose spectral change does not comply with the spectral change rule of their class are detected as the change segments. Two multispectral Quickbird images of part of Wuhan City obtained from 2002 and 2005 and a 1:10 000 land use map of 2002 in the same region were used as the study area. Exemplified by green land and urban areas, the results show the validity of this method.
    References | Related Articles | Metrics
    Technology Application
    Calculation and Reliability Analysis of Satellite Sensors Band Solar Irradiance
    HU Shun-shi, ZHANG Li-fu, ZHANG Xia, WANG Qian, HAN Bing, ZHANG Nan
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 97-102.   DOI: 10.6046/gtzyyg.2012.03.18
    Abstract   HTML   PDF (2859KB) ( 3644 )
    Extraterrestrial Solar Spectral Irradiance (ESSI) is an important parameter for calculating Band Mean Solar Irradiances (BMSI) of different satellites. In order to probe into the problem as to which ESSI dataset could acquire a more accurate BMSI result, the authors selected 4 ESSI datasets, namely SBDART simulated solar spectrum dataset, oldkur.dat dataset from MODTRAN4.0, Thuillier solar spectrum dataset and WRC solar spectrum dataset, to calculate BMSI for HJ-1A CCD1(B1-B4), CBERS-02 CCD(B1-B5), Landsat5 TM(B1-B4) and ASTER (B1-B8).A comparison was made between the calculated BMSI result and the BMSI result published by satellite operators.It is found that the calculated BMSI results using WRC solar spectrum dataset and SBDART dataset have a smaller error in comparison with published BMSI, followed by oldkur.dat, while the calculated BMSI results using Thuillier solar spectrum dataset have larger errors than other datasets.
    References | Related Articles | Metrics
    Extraction and Application of Polarimetric Characteristic Parameters Based on Polarimetric Decomposition
    WANG Qing, ZENG Qi-ming, LIAO Jing-juan
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 103-110.   DOI: 10.6046/gtzyyg.2012.03.19
    Abstract   HTML   PDF (1385KB) ( 2240 )
    Based on the polarization decomposition, the authors obtained a set of characteristic parameters to characterize the surface features, and formed some indices by combing these characteristic parameters to extract vegetation growing information such as radar vegetation indexes. These characteristic parameters have the function of reflecting the backscattering information and indirectly obtaining such information as vegetation growing, density and distribution areas. A scene of Radarsat-2 full polarimetric SAR data covering Poyang Lake region was chosen for this experiment and the sample data which included the biomass and vegetation density information were collected in the field at the same time. On the basis of an analysis of vegetation characteristics in this test region, the characteristic parameters were compared with each other and analyzed for their physical meaning. The radar vegetation index and field measurements of biomass sample parameters were statistically correlated. The experimental results show that the four characteristic parameters described in this paper give the same overall trend on the random scattering of vegetation, but different indexes have different indications with the increasing vegetation density, of which the most accurate index is the radar vegetation index, which has the maximum dynamic range. The radar vegetation index has a high linear correlation with the biomass of wetland vegetation, so that it can be used to quantitatively infer the vegetation covering density and the biomass information.
    References | Related Articles | Metrics
    Relationship Between Composition and Spectral Feature of Muscovite
    LIANG Shu-neng, GAN Fu-ping, YAN Bo-kun, WANG Run-sheng, YANG Su-ming, ZHANG Zhi-jun
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 111-115.   DOI: 10.6046/gtzyyg.2012.03.20
    Abstract   HTML   PDF (990KB) ( 2082 )
    The aim of this study is the exploration of the intrinsic relationship between chemical composition and spectral features of rocks and minerals so as to detect mineral micro-information based on the hyperspectral remote sensing technology. Based on rock and mineral microscopic identification, the authors analyzed spectral features of muscovite from the rock sample by using TSG geological spectrum analysis software,and studied the chemical composition of muscovite by means of electron microprobe analysis. On such a basis, spectral variational features of muscovite were statistically analyzed. The results indicate that the diagnostic spectral wavelength position of muscovite moves towards the long wavelength with the reduction of Al cations.
    References | Related Articles | Metrics
    Study of Qinghai-Tibet Plateau Uplift Response to Eco-geological Environment Based on Remote Sensing
    ZHAO Fu-yue, ZHANG Rui-jiang, CHEN Hua, SUN Yan-gui
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 116-121.   DOI: 10.6046/gtzyyg.2012.03.21
    Abstract   HTML   PDF (1062KB) ( 1491 )
    The rapid uplift of the Qinghai-Tibet Plateau has changed the morphologic units, the tectonic frameworks, the rivers strike, the Asian monsoon and the climate. On the basis of the survey and monitoring results of eco-geological environment and from the angle of the uplift of the Qinghai-Tibet Plateau, this paper systematically describes the eco-geological environment features, the response of eco-geological environment and its regularity in the Qinghai-Tibet Plateau. The results show that the geological environment of the Qinghai-Tibet Plateau is the foundation controlling the formation, development and evolution of ecological environment of the Qinghai-Tibet Plateau and its surrounding areas. The rapid uplift of the Qinghai-Tibet Plateau has provided external factors for modern glaciers, desertification and geological disasters. Besides, the climatic environment of the Qinghai-Tibet Plateau is the power source of ecological environment change in China. Human activities have played a catalytic role in ecological environment change in the Qinghai-Tibet Plateau and its surrounding areas.
    References | Related Articles | Metrics
    Lake Change in Past 40 Years in the Southern Nagqu District of Tibet and Analysis of Its Driving Forces
    HUANG Wei-dong, LIAO Jing-juan, SHEN Guo-zhuang
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 122-128.   DOI: 10.6046/gtzyyg.2012.03.22
    Abstract   HTML   PDF (1185KB) ( 2159 )
    This study was based on remote sensing images and DEM of SRTM. Areas of twelve lakes in southern Nagqu district in the period of 1970-2010 were derived by visual interpretation, and levels of nine lakes in the period of 1990-2010 were calculated using lake area data and DEM. Then the change regulations of precipitation, temperature, evaporation, frozen ground, glacier and snow line in this region were analyzed. Correlation analysis between the lake area and the climate change was performed, and the causes of lake change were studied on the basis of a simple hydrological model. According to the results, all lake areas increased during the last 40 years except for Gyaring Co, and the lake area expansion notably happened during 2000-2010, with the total increased area of all 12 lakes in this decade being 743.88 km2, which accounted for about 63.95% of all the increased area in the past 40 years; in addition, the levels of the nine lakes tended to rise too. The main reasons for lake change are attributed to the melting of snow cover, glaciers and frozen grounds and the increasing of precipitation caused by climate warming in the past 45 years. Besides, the decreasing evaporation is also a reason for lake expansion.
    References | Related Articles | Metrics
    Urban Spatial Expansion Prediction Based on CA Model: A Case Study of Jinhu Coastal Area
    SU Lei, ZHU Jing-hai, HU Ke-mei, LIU Miao
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 129-134.   DOI: 10.6046/gtzyyg.2012.03.23
    Abstract   HTML   PDF (1130KB) ( 18651 )
    Jinhu coastal area urban land distribution maps in 1990, 2000 and 2010 were compiled with the help of Erdas and ArcGIS, and they served as the basis for urban spatial expansion simulation. The authors used urban CA model which had time and space dynamic constraints to simulate Jinhu coastal area urban spatial form of 2020. The advanced nature of this model lies in the multi-time interval phase transition rule. It uses transition probability matrix to predict urban land total quantity as constraints of CA model, and utilizes logistic regression to adjust the transition rule of CA model. The authors calculated landscape pattern indexes of various stages and drew the following conclusions: the urban land shape complicated unceasingly, and the degree of fragmentation increased from 1990 to 2010; nevertheless, the urban land shape was becoming regularized and the degree of fragmentation tends to decline from 2010 to 2020. During the period of 1990-2020, the average patch size is on the rise, the influence of the largest patch is enlarging year by year, and the accumulation of urban land is accelerated. The geographical space of cities in Jinhu coastal area is gradually narrowed and, with the improvement of regional transportation conditions, the spatial integrated development of Jinhu will become an inevitable trend.
    References | Related Articles | Metrics
    Quantitative Prediction of Karst Rocky Desertification Deterioration Based on RS and GIS: A Case Study of Typical Karst Rocky Desertification Area of Du’an County, Guangxi
    CHENG Yang, CHEN Jian-ping, HUANGFU Jiang-yun, TONG Li-qiang
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 135-139.   DOI: 10.6046/gtzyyg.2012.03.24
    Abstract   HTML   PDF (1005KB) ( 1343 )
    Taking Du’an County of Guangxi as the study area,using the TM remote sensing images acquired in 1999 and 2009 as the data source, adopting RS and GIS as the technical means and platform, and utilizing the carbonate rock type, land use type,karst landform type,slope of the terrain and population density as the influencing factors, the authors calculated the rocky desertification deterioration index(RDDI) by using the analytical hierarchy process-certainty factor(AHP-CF) method,and then predicted the trend of rocky desertification deterioration quantitatively with RDDI as parameters. The prediction results can provide a scientific basis for making a prospective and specific plan concerning ecological environment protection and recovery and promote the work of rocky desertification prevention and control.
    References | Related Articles | Metrics
    Updated Evaluation and Analysis of Farmland Classification in Qilihe District of Lanzhou
    FU Tian-xin, YAN Hao-wen, LUO Cheng-feng, SHA Yu-kun, QIAO Zhan-ming
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 140-145.   DOI: 10.6046/gtzyyg.2012.03.25
    Abstract   HTML   PDF (1101KB) ( 1708 )
    This paper used high-resolution images such as QuickBird and WorldView to interpret agricultural map spots of Qilihe,and took the spots as the study objects. According to the actual situation of Qilihe,the authors combined the Delphi method with experts’ opinions to determine seven evaluation factors such as the terrain slope,effective soil depth,soil PH value and the irrigation assurance rate for agricultural land updated classification. Detailed spot investigation method and calculation model in farmland classification procedures were used to amend and update the Qilihe agricultural spot. The results show that the quality of the natural agricultural land tends to decline, the agricultural land use has no significant changes, the agricultural input and output levels somewhat decrease, and the agricultural lands of various classes show certain spatial distribution regularity.
    References | Related Articles | Metrics
    Remote Sensing Monitoring of the Mineral Resources Exploration and Mining Environment of the Salt Lake Based on SPOT5 Data
    ZHANG Kun, MA Shi-bin, LIU Li-ping
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 146-153.   DOI: 10.6046/gtzyyg.2012.03.26
    Abstract   HTML   PDF (1227KB) ( 1323 )
    Using the remote sensing interpretation data of the SPOT5 images acquired in three periods from 2008 to 2010, the authors analyzed the mining geological environment and the status of mineral resources exploitation in the Chaerhan salt lake. The results show that the numbers of factories and pump stations have increased, the exploited saline land,tailings and waste bittern convergence areas are rapidly expanding. Both extracting ditches and transporting ditches are extending. The monitoring scheme for the study area is discussed in detail,which provides some essential scientific references for regulating a monitoring system and technical standard in this field.
    References | Related Articles | Metrics
    Tailings Reservoir Recognition Factors of the High Resolution Remote Sensing Image in Southeastern Hubei
    HAO Li-na, ZHANG Zhi, HE Wen-xi, CHEN Teng
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 154-158.   DOI: 10.6046/gtzyyg.2012.03.27
    Abstract   HTML   PDF (1121KB) ( 1661 )
    Tailings with the characteristics of very small particles determine their high reflectivity of each band in remote sensing images. The accumulation process of the tailings determines their unique surface texture, including parallel zoning texture features and radial texture features. The authors mainly studied spectral features, texture features and some other features such as roads, mine buildings, reservoirs distribution and their geographical position which are associated with the tailings reservoir, and established the comprehensive recognition factors of the tailings reservoir in high resolution remote sensing image in this paper. On the basis of these factors, the tailings reservoirs can be identified and their scales can be preliminary determined from WorldView-2 images.
    References | Related Articles | Metrics
    GIS
    Research on the Emergency-Response-Oriented Rapid Mapping Based on RS Data
    HE Hai-xia, YANG Si-quan, HUANG He, LI Xin, NIE Juan
    REMOTE SENSING FOR LAND & RESOURCES. 2012, 24 (3): 159-164.   DOI: 10.6046/gtzyyg.2012.03.28
    Abstract   HTML   PDF (1203KB) ( 2026 )
    Emergency-response-oriented rapid mapping can respond to emergent natural disasters quickly and provide timely, intuitive and reliable services for emergency decision and relief. The timeliness and normativeness in current cartography are low and can’t meet the need of the emergency. To solve the problem, the authors have prepared a detailed emergency plan for rapid mapping to explain the purpose, content,staff organization and process. The plan can tighten regulations when the disaster occurs. At the same time, the processing algorithms of remote sensing data are optimized and the mapping templates are prepared for different kinds of disasters. The comprehensive knowledge from experts and technical staff was summarized and inverted into rules and indexes which can be recognized by the computer so as to achieve the automatic and rapid cartography.
    References | Related Articles | Metrics
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech