20 December 2017, Volume 32 Issue 6

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  • Zhang Wangfei,Chen Erxue,Li Zengyuan,Zhao Lei,Ji Yongjie
    Remote Sensing Technology and Application. 2017, 32(6): 983-997. https://doi.org/10.11873/j.issn.1004-0323.2017.6.0983
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    Forest height estimation is one of the hottest research areas of InSAR/PolInSAR technology within its 30 years’ development.Estimation algorithms play an important role in the forest height assessment by InSAR/PolInSAR technologies.This paper systematically reviewed the basic theories,model assumptions and then summarized the limitation and potential of these algorithms applied in forest height estimation,especially performed in regional or global scale.It also deliberated the intrinsic characteristics of these algorithms like DEM difference method,three\|stage inversion process,coherence amplitude method and so on.Analysis showed that the estimation results of DEM difference method had higher accuracy and less influence from forest types and structure.So it had great potential for global and regional forest height assessment,however,it was limited by the requirement of high accuracy DEM data in those area.The result accuracy of algorithms based on PolInSAR depended more on forest types,structures and also the robust of forest scattering models.It had no restriction of DEM and could perform in global and regional scale,but for the forest area with great heterogeneous,model and algorithm suitability and robust need to further studying.Besides,for the poor penetration of single\|baseline InSAR/PolInSAR,we should focus more on multi\|dimension,multi\|baseline technique for InSAR/PolInSAR application development in the future.
  • Liu Runhong,Liang Shichu,Zhao Hongyan
    Remote Sensing Technology and Application. 2017, 32(6): 998-1011. https://doi.org/10.11873/j.issn.1004-0323.2017.6.0998
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    Coastal wetlands as a unique ecosystems with high productivity and abundant biology diversity,has many important resource values,ecological values,economic values and scientific research values.Due to the multi\|temporal,multi\|platform,macroscopic,objective,informative,real\|time,highly effective,comparable and so on,so the remote sensing technology has been gradually approved and widely promoted in coastal wetland research in the past three decades.Current status of coastal wetland research based on remote sensing technique in China was systematically discussed from multiple aspects,including remote sensing data sources,theories and methods,and the application of remote sensing technology to Chinese coastal wetland is reviewed from the aspects of coastal wetland resource investigation and management,landscape pattern and dynamic change,ecological environment monitoring,ecosystem quality and service evaluation.This paper also points out some shortcomings existed in Chinese coastal wetland research by remote sensing technology include the spatial and temporal distributions of the study area is uneven and dominated by small and medium scale,lack of interdisciplinary comprehensive research,focus on theoretical research and ignore application intelligent application of remote sensing technology,information sharing ability is poor,the improve of interpretation accuracy is difficulties.Related research prospects should be to carry out such as monitoring and mapping on all scale,strengthen the multidisciplinary collaboration,strengthen the comprehensive and comparative study,establish a unified classification system of coastal wetland based on remote sensing and the national coastal wetland information system,emphasis on the development of new remote sensing technology and fusion of multi\|source data,emphasis on the use of new methods and new models.

  • Zhang Ya,Yin Xiaojun,Wang Weiqiang
    Remote Sensing Technology and Application. 2017, 32(6): 1012-1021. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1012
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    The Landsat 8 OLI remote sensing data was used to obtain six kinds of commonly vegetation indices including NDVI,RVI,DVI,EVI,GNDVI and SAVI.Meanwhile,combining with the measured data of grassland in the research area,the research area was divided into two kinds of shady and sunny slope according to the slope.Then the biomass remote sensing estimation models of shady and sunny slope in Ziniquan Ranch were created by Statistical analysis method and biomass space inversion and verification was implemented.The results of correlation analysis showed that the selected vegetation indices were significantly correlated with pasture biomass and there was a significant difference between the correlation of the classified data and the non classified data by slope,in which NDVI was the highest and EVI was the lowest.The optimal inversion model of Ziniquan Ranch biomass was based on the two order polynomial model of SAVI with the accuracy 80%.By using this model reversion,the grassland average yield of Ziniquan Ranch in 2015 was 113 g/m2,which equaled to dry grass yield 41.85 g/m2.The research shows that the slope direction is an important factor affecting the distribution of biomass.Using remote sensing data and ground measured biomass data and combining with the characteristics of the topography of shady and sunny slope of the research area,the biomass estimation model has higher accuracy,which could provide scientific basis for the reasonable estimation of grassland biomass and management of grassland grazing in the pastoral area.
  • Wei Long,Wang Weizhen,Wu Yueru,Ma Chunfeng
    Remote Sensing Technology and Application. 2017, 32(6): 1022-1030. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1022
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    The soil dielectric constant,the basis of the microwave remote sensing inversion of soil water and salt,is one of the main parameters of microwave remote sensing research.It is very important to select the high precision soil water and salt dielectric model to improve the precision of soil water and salt inversion.However,the existing soil water and salt model still can’t quantitatively describe the effect of salt factor on soil permittivity.This paper simulates the complex permittivity of different texture,water content and salinity wet soil by Dobson model,Dobson\|S model,GRMDM model,HQR model and WYR model at L,Cand X bands when soil temperature equal 25 ℃.Comparison and analysis the simulation values with measured values by microwave vector network analyzer.The results show:(1)Dobson model and GRMDM model can accurately simulate the real part of dielectric constant of non\|saline soil,while the stimulated values of imaginary part is less than the measured values;(2)Dobson\|S model can well simulate the real part of the dielectric constant of saline soil,at L,C\nd Xbands the correlation coefficient R equal 0.97,the RMSE is less than 2.10.But for the imaginary part of the dielectric constant of saline soil,the Dobson\|S model,HQR model and WYR model with different simulation accuracy,when soil water content different.This study would benefit the choice of a suitable soil dielectric model for soil moisture and salinity retrieval.

  • Zhao Hongchen,Zhou Xinghua,Liu Yongxue,Ji Xue
    Remote Sensing Technology and Application. 2017, 32(6): 1031-1039. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1031
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    Though the global precipitation measurement microwave imager(GMI)has been a new microwave sensor for about two years,no capability evaluation of GMI SST has been made.For providing some helpful information to using the products later,in the paper,monthly/annual GMI SST measurement coverage are calculated using GMI products during 4/2014 and 3/2016 and spatial and temporal variation of the coverage are also analyzed.Besides,to generate matchups set with buoy and Voluntary Observing Ship Climate(VOSClim)measurements as in\|situ data strategy has been made,and retrieval uncertainty of GMI SST are finally evaluated.All the work show,(1)the GMI SST annual coverage is about 0.51,smaller than global average,which is 0.59,but it’s significant bigger than Infrared SSTs;(2)using±3 h/0.1° as temporal and spatial match windows,and 6.5 m/s as a wind speed threshold to exclude outliers can eliminate some of the errors effectively;(3)GMI SST Bias is-0.02±0.89 ℃,and is approximate to bias of some other SST products.
  • Chen Jian,Zhou Jie,Li Yawen
    Remote Sensing Technology and Application. 2017, 32(6): 1040-1047. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1040
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    The aerosol optical depth were retrieved using deep\|blue algorithm based on the GOCI data of 72 clear\|sky days in 2013 over the Yangtze River Delta,and then were validated by field data from two measured sites.The results show that the GOCI data can be used for inversion of land aerosols,and both sites show high accuracy.The fitting degree of Beichenlou station of Nanjing University of Information Science and Technology is 0.659,and that of AERONET station is 0.747,which shows good agreement compared with MODIS aerosol products.At the same time,it is found that the aerosol products based on the GOCI data of the stationary satellite have the ability to monitor the diurnal variation of aerosol and provide the basis for the aerosol dynamic diffusion and the climate effect study.

  • Wang Jinhu,Ge Junxiang,Wei Ming,Zhang Qilin,Li Xiangchao
    Remote Sensing Technology and Application. 2017, 32(6): 1048-1055. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1048
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    Centimeter\|wave radar and millimeter wave radar have been widely used to detect cloud and precipitation,two\|phase precipitations may be detected when radars detect meteorological targets and the study on the attenuation characteristics of two\|phase precipitations can help us retrieve the micro\|physical parameters of precipitation particles using radar echoes.Assuming precipitation meets M—P distribution,variations in the attenuation coefficient of precipitation as functions of rainfall rate and temperature,the results showed when the transmitting frequency of radar is less than or equal to 35 GHz,the attenuation coefficient of liquid\|phase precipitation is larger than that of ice\|phase precipitation,however this case is reverse when the transmitting frequency of radar is greater than 94 GHz,the reason is oscillating amplitude and times of the attenuation efficiency in the case of ice\|phase precipitation particle are larger than that of liquid\|phase precipitation particle.Whether ice\|phase precipitation particle or liquid\|phase precipitation,the attenuation coefficients are less affected by temperature changes.At last,the empirical formulas were established to describe the relationships amongst attenuation coefficient,rainfall rate and temperature.Assuming the frequencies of radars are 3 GHz、6 GHz、10 GHz(Centimeter\|wave)and 35 GHz、94 GHz、140 GHz、220 GHz(millimeter\|wave),variations in the complex dielectric constant of two\|phase spherical precipitations as functions of temperature and frequency would be studied,the attenuation efficiency of single precipitation particle can be computed by Lorenz\|Mie theory and the result showed that the oscillating amplitude of ice\|phase precipitation particle is larger than that of liquid\|phase precipitation particle though the permittivity of liquid\|phase precipitation particle is larger than that of ice\|phase precipitation particle.
  • Wang Jiapeng,Shi Runhe,Zhang Chao,Liu Pudong,Zeng Yuyan
    Remote Sensing Technology and Application. 2017, 32(6): 1056-1063. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1056
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    Spartina alterniflora is one of the most important invasive species in the coastal wetlands in China,which have a profound impact on the local ecological system.The information of chlorophyll content is an important basic data for quantitative research on key ecological function of wetland ecosystem.The Yangtze River in Chongming Dongtan wetland is the study area.Based on the measured leaf spectral reflectance and total chlorophyll content of Spartina alterniflora,in the range of 400~1 000 nm,the ratio of the original form of the spectral reflectance and first derivative spectral reflectance(RVI)and normalized difference vegetation index(NDVI)in the form of combination are established for the correlation with the content of chlorophyll and the construction of the estimation model.The results show that RVI and NDVI vegetation index form model based on the original spectra have the highest accuracy,whose root mean square error(RMSE)are up to respectively 0.24 and 0.25;Because of the nosie in the first derivative spectral reflectance,the estimation model of chlorophyll has poor results;Based on the band selected from the model,the red edge band is particularly important in the estimation of chlorophyll content of Spartina alterniflora.
  • Jiang Song,Lan Ailan,Yan Jingye,Sun Lin
    Remote Sensing Technology and Application. 2017, 32(6): 1064-1070. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1064
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    AgileDARN radar system is a kind of sensitive ground coherent high frequency radar system based on all digital phased array technology,which can realize the detection of Middle and high latitude ionosphere.In this paper,The digital signal processing of radar system is studied detailed.The mechanism of digital signal processing of radar system have been designed and analyzed.The FPGA is used to implement the signal transceiver,Amplitude\|phase correction,Digital beam forming and digital filter for radar system,So the system can realizes flexible scanning of the direction map and improves the Echo orientation precision.The feasibility and effectiveness of the FPGA design is verified through the simulation experiments.
  • Wang Gang,Dong Xiaolong,Zhu Di
    Remote Sensing Technology and Application. 2017, 32(6): 1071-1077. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1071
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    In order to improve a relatively high spatial resolution for spaceborne scatterometer and satisfy the observation requirements of geophysical parameters (such as,snow water equivalent,snow/ice freezing and thawing),the analysis and research is carried on based on the scanning spaceborne microwave radar.Based on the pulse compression processing and Doppler technology,a scanning resolution improvement method is established.For the characteristic that the azimuth is changing with the rotating antenna,a model of different azimuth angles is established.The results show that the azimuth resolution is related to radar Doppler information,and using this relationship can improve the azimuth resolution.The spatial resolution can reach 2km at side\|looking and 2~5 km at inclined front and rear.In view of the snow water equivalent observations,the system Kpc can reach 0.3 when the spatial resolution is 5km,and can reach 0.3~0.5 when the spatial resolution is 2 km.

  • He Haiqing,Pang Yan,Chen Xiaoyong
    Remote Sensing Technology and Application. 2017, 32(6): 1078-1082. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1078
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    In order to solve low separability and rough details in scene recognition,remote sensing image scene oriented convolutional neural network recursive recognition model is presented.Firstly,deep convolutional neural network with multi\|convolutional layers and multi\|pooling layers is constructed by multi\|resolution scenes.Then quad\|grids are subdivided to DCNN scene recursive recognition based on Confusion Index (CI)by softmax probability,and multi\|sliding windows are used to tune recursively for accurately locating scene targets.Experimental results show that the proposed model can adapt scene recognition with different scale,and significantly improve the accuracy compared with the commonly used DCNN.
  • Yang Shuangbao,Zhai Zhenhe,Xu Ke,Wang Zhisen,Shi Lingwei,Wang Lei,Cui Haiying,Xu Xiyu
    Remote Sensing Technology and Application. 2017, 32(6): 1083-1092. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1083
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    The key innovation technology of SAR Altimeter (Synthetic Aperture Radar Altimeter)are Doppler\|beam sharpen and delay/Doppler range compensation.The cooperation of these two technologies makes it has high along track resolution and high precision in height measurement.The ground processor is the key hinge to make sure that SAR altimeter could obtain these superiorities.Many key technologies for SAR altimeter processor,such as Doppler beam\|sharpen,delay/Doppler compensation and the second range correction,multilook,echo model and gradient function for retracker,are introduced in the paper.Based on the processor and related work,some simulation work and airborne experiment were tested by the processor,and both of the quantity results show that the SAR altimeter has more potential superiorities.

  • Wang Xuemei,Ma Mingguo
    Remote Sensing Technology and Application. 2017, 32(6): 1093-1099. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1093
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    The multi\|subject cooperation and intersection becomes the main development tendency of the modern sciences.In this study,the remote sensed nighttime light data from the Defense Meteorological Satellite Program(DMSP)Operational Linescan System(OLS)were combined with the global international papers for obtaining the temporal and spatial distribution characteristics and dynamic change characteristics at national and regional scale.The results indicate that most of the countries or regions have the increasing tendencies with the exponential models.There are good correlation between the nighttime light data and international paper for most of the countries or regions.In the 72 calculated countries,there are 53 countries with the correlation coefficients more than 0.5 when the significance level is more than 0.01.Furthermore,the developing countries have higher correlation coefficients than the developed countries.In the top 18 countries with higher correlation coefficients,16 are the developing countries.The night\|time light data can be potentially used to better predict the numbers of countries’ papers.
  • Zhou Xiaoyu,Chen Fulong
    Remote Sensing Technology and Application. 2017, 32(6): 1100-1106. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1100
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    Time series features of SAR backscattering in the period of 2007 to 20011 were used to monitor the change of forest coverage in Wolong and Caopo Nature Reserve in Sichuan Prov.China.Firstly,PALSAR data were separated into 4 groups;then,a decision tree approach was derived using the J48 algorithm for the forest fine mapping,resulting in the overall classification accuracy(OA)and kappa coefficient(KC)equaling to 94.31% and 0.89,respectably.After that,four time\|series maps of forest coverage in study area were obtained in the observation period of 2007\|2011.Change detection demonstrated that the proportion of the forest coverage was reduced from 56.66% to 48.11%(that is 8.55% declining)caused by the Wenchuan Earthquake.However,the ecological system was recovering since the second year of the event,such as the forest coverage increased up to 48.52%(equals to a recovered square of 9.19 km2 that is amounting to 13.24%of the damaged area).This study implied that Wenchuan Earthquake could be a negative impact on the deforestation of the study area;nonetheless the ecological system is recovering nowadays jointly contributed by the combination of natural and anthropogenic impactors.
  • Zhou Yuke,Gao Xizhang,Ni Xiliang
    Remote Sensing Technology and Application. 2017, 32(6): 1107-1113. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1107
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    Satellite\|derived nighttime light (NTL)data have been extensively used as an efficient proxy measure for monitoring urbanization dynamics and socioeconomic activity.This is because remotely sensed NTL signals can be quantitatively connected to demographic and socioeconomic variables.The recently composited cloud\|free NTL imagery derived from the Visible Infrared Imaging Radiometer Suite (VIIRS)provides spatially detailed observations of human settlements.We quantitatively estimated socioeconomic development inequalities across 30 provinces andmunicipalities in mainland China using VIIRS NTL data associated with both regional gross domestic product (GDP)and population census data.We quantitatively investigated relations between NTL,GDP,and population using a linear regression model.Our results suggest that NTL have significant positive correlations with GDP and population at different levels.Several inequality coefficients were derived from VIIRS data and statistical data at multiple spatial scales.NTL\|derived inequality coefficients enabled us to elicit more detailed information on differences in regional development at multiple levels.Our study of provinces and municipalities revealed that county\|level inequality was more significant than city\|level.The results of population\|weighted NTL inequality indicate an obvious regional disparity with NTL distribution being more unequal in China’s undeveloped western regions compared with eastern regions.Our findings suggest that given the timely and spatially explicit advantages of VIIRS,NTL data are capable of providing comprehensive information regarding inequality at multiple levels,which is not possible through the use of traditional statistical sources.
  • Remote Sensing Technology and Application. 2017, 32(6): 1114-1125. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1114
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    Based on Landsat TM/ETM+/OLI remote sensing images in the arid region of Northwest China in 1990,1999,2007 and 2015,104 data of lakes with area greater than 1 km2 were obtained by Normalized Difference Water Index(NDWI)and the driving mechanism of lake change was analyzed.The results show that:(1)From 1990 to 2015,the lake area in northwestern arid region was increasing,and the area of lake in 1999~2007 was the most obvious;(2)In the northwest arid region,the whole lakes showed an expanding trend,but there were obvious regional differences.The area of the lakes decreased first and then increased,and the lakes were the largest and the most widely distributed.Area of the lake continued to reduce the number of small,was distributed in the hinterland of Tengger Desert;(3)Precipitation and temperature are two important factors influencing lake change.The change of lake area is consistent with precipitation,temperature and evaporation,and the impact of human activities on the change of lake area is insignificant.While the change of plain lake area is affected by natural factors and human activities.Desert lake area is the result of climate change and groundwater recharge source changes.The results promote to improve the temporal and spatial characteristics of the lakes in Northwest China,And provide a reasonable basis for the study of lake change and environmental protection in this area.
  • Zhaxi Yangzong,Li Lin,Zhuo Ma,Feng Yan,Li Xuedong,Baima Yangzong
    Remote Sensing Technology and Application. 2017, 32(6): 1126-1131. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1126
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    This study extracted the local glacier information over the Nianchu river basin in the Tibet in 1996 and 2005 by using ice index,snow index and water index of Landsat TM\|5 multi\|spectral images,and Synthetic Aperture Radar (SAR)intensity and coherence information of ERS\|1/2 and Envisat ASAR.The optimized features were determined by their classification accuracies based on Support Vector Machine (SVM)classifier.The result showed that the composition of multi\|spectral and SAR features could effectively discriminate the water and ice from other types,with overall accuracies of 84% and 85% in 1996 and 2005,respectively.Based on the thematic information of these two years,the changes of the local glacial area and boundary were detected.The result showed that the glacial area of the Nianchu river basin was reduced by 154.7 km2,which mainly caused by the climate warming.
  • Yang Tao,Huang Farong,Li Qian,Bai Lei,Li Lanhai
    Remote Sensing Technology and Application. 2017, 32(6): 1132-1140. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1132
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    Vegetation is the most important component of terrestrial ecosystem,and plays a key role in regulating land carbon balance and climate change.In arid zones,vegetation growth during the growing season primarily depends on winter snowfall,and further research is required on the relationship between vegetation and winter snowfall.Based on GIMMS NDVI during the growing season (April to October )and winter snowfall data simulated by WRF in northern Xinjiang from 1982 to 2013,this study used trend analysis and correlation analysis pixel by pixel to investigate the spatial pattern of NDVI variation,correlation between NDVI and winter snowfall,and the influence of winter snowfall on different ecosystems.The results indicated that:NDVI increased in northern Xinjiang during the growing season,and the increased area is mainly located in farmland and high altitude meadow,while the middle and eastern parts of Junggar Basin showed a decreasing trend.In the study area,winter snowfall showed an increasing trend and the spatial distribution of winter snowfall presented a ring\|shape:winter snowfall increases from the central part to the surrounding area.The largest significantly positive correlation between winter snowfall and NDVI was in May and June,and was mainly concentrated in the desert ecosystem of Junggar basin.NDVI of different ecosystems in northern Xinjiang had the hysteresis to winter snowfall,and the impact of winter snowfall on monthly NDVI increases from April,peaks in June,then decreases until the end of the growth season.
  • He Bingwei,Zhao Wei,Li Ainong,Feng Wenlan,Tan Jianbo,Lei Guangbin,Nan Xi
    Remote Sensing Technology and Application. 2017, 32(6): 1141-1150. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1141
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    A large number of new urban areas have emerged under the rapid urbanization background in recent years in China,and the characteristics of urban thermal environment have significant changes.To analyze the thermal environment diversities between old urban areas and new urban areas and explore the impacting factors,we chose Chengdu City in Sichuan Province as a typical study area.Key surface parameters,including Land Surface Temperature (LST),building index and vegetation index were derived based on Landsat 8 satellite image acquired on August 13,2014.The comparison study was conducted to analyze the differences of the parameters related to thermal environment changes,and the results indicated that:①Overall,the average surface temperature of the old urban area was higher than that of the new urban area.Regarding the spatial distribution,the central and northern region had higher temperature than the southern region for the old urban areas.In the new urban areas,although high temperature spots can be found in the central west or north,this region generally had a relatively low temperature.②The old urban area emphasized a higher Urban\|Heat\|Island\|Ratio\|Index (URI),which revealed the descending trend of surface temperature via analyzing the thermal field profile from the old to the new.This showed that the urban thermal environment effect of the old city was stronger than the new urban area.③“Heat Island Effect” was easy to emerge in those areas with high density urban construction and little urban vegetation coverage,whereas reasonable urban landscape planning and layout would help to perfect the urban thermal environment.The comparison of the thermal environment effects between the new urban areas and the old urban areas shows the new urban planning in Chengdu has positively contributed to improve the thermal environment in the new urban areas,which can provide important reference for the future urban planning.
  • Li Yuqin,Su Cheng,Wang Xizhi,Huang Zhicai,Zhang Xiaocan
    Remote Sensing Technology and Application. 2017, 32(6): 1151-1160. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1151
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    In order to build the remote sensing prospecting model for porphyry copper\|gold deposits and delineated prospecting target area in the porphyry copper\|gold deposits strategic area of Cordillera Central in Luzon (Philippines),the geological background of the porphyry copper\|gold deposits and the spectral characteristics of the main altered minerals are analyzed in detail,and the mineralizing alteration information is extracted from ASTER remote sensing data using the Crosta technique.To increase the proportion of weak alteration information which is hard to extract,a principal component analysis (PCA)approach based on object’s character was proposed in this paper.The principle of this approach is that calculating the feature vector based on the specific alteration mineral and applying them in the whole study area in PCA,which can enhance the weak alteration information in a directed way and avoid the strong background information and noises.On the basis of the approach iron dye,argillization and propylitization alteration information are extracted precisely.After consider the ore\|controlling structure,rock mass and alteration information comprehensively,A remote sensing geological prospecting model of porphyry copper\|gold deposits in the study area is established and finally 6 preferable ore\|finding area are delineated.
  • Wang Shuai,Xu Hanqiu,Tang Fei
    Remote Sensing Technology and Application. 2017, 32(6): 1161-1170. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1161
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    At present,the automatic extraction of urban built\|up area is still a problem.Taking Shanghai city as an example,this research uses the binary image,which was derived from an IBI(index\|based built\|up index)image,as the geographical cellular automaton initial input data.This was then imported to the extended cellular automata model for further processing.After a series of processing such as thresholding,corrosion and connectivity test,the urban built\|up area was simulated and can be extracted.Based on this method,the urban built\|up area of Shanghai in five different years between 1987 and 2015 was extracted using multi\|temporal Landsat images of Shanghai.In addition,the urban growth intensity index,the concentric buffers analysis and radar chart analysis were calculated and used to analysis spatiotemporal pattern of Shanghai urban expansion in the 28 study years.The result shows that the built\|up area of Shanghai was expanded from 195 km2 in 1987 to 1759 km2 in 2015,which is eight times as large as that in 1987.In the period between 1987 and 2002,the urban built\|up area expanded mainly along the North\|South axis of the Huangpu River.However,after 2002 the expansion rate was increased more quickly,and the direction of the expansion was shifted to an east to west direction.Generally speaking,Shanghai has experienced a rapid urban expansion in the recent three decades.

  • Zhao Mengyu,Xue Liang
    Remote Sensing Technology and Application. 2017, 32(6): 1171-1180. https://doi.org/10.11873/j.issn.1004-0323.2017.6.1171
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    With the accelerating process of society,economy and urbanization,land use and landscape changes have gradually become important to make effects on regional habitat quality.It is necessary to further investigate those two effects,the result of which can provide a scientific basis for regional habitat conservation and reasonable utilization of land,then will be of great importance in habitat protection and development of the region.In this paper,the study area was located in Xianyang city,Shaanxi Province,which had the frequent human activities and obvious land use changes.Based on the classification of land use data which interpreted by remote sensing,supported by ArcGIS software,the land use transfer matrix of Xianyang from 2000 to 2010 was analyzed.Landscape metrics were calculated by the Fragstats software,which represented for the landscape pattern changes and spatial characteristics.The InVEST model was selected to evaluate habitat quality in study area.The habitat quality changes was monitored.The results indicate that the integrated land use dynamics of Xianyang city is 2.34%,and the changes of land use rate is slow.The main transition from cultivated land and grassland to forest and construction land,which cause the area of first two land use types reduced,and the latter two types increased.The degree of fragmentation and the complexity of structure in landscape are higher than before.Habitat quality improved slightly,and its overall spatial pattern is that central and north areas are relatively higher than the south.Area percentage of excellent,good and poor grades increase,while the habitat quality of medium grade significantly decline.Among 14 districts and counties of habitat quality in Xianyang city,Xunyi County is the best,and the improved magnitude of Liquan county is the most significant.The main driving force of habitat quality change is the transform of land use pattern.Therefore,the relevant departments of Xianyang city should continue to implement the ecological protection measures,and increase the intensity about the protection and management of environment.Thereby to promote the coordinated sustainable development of land use and habitats.