bluuebunny/crossref_metadata_2025 huggingface dataset:
In vitro antioxidant activities of stem bark, leaves and callus extracts from Amoora rohituka
Authors: Basalingappa Kanthesh M , V Kavitharaj , KO Avinash , JR Kumar , Karthikeyan Murugesan , Gnanasekaran Ashok , GK Chandrashekrappa
Published: April 2018

Abstract

The present work examined the in vitro antioxidant activity of sequentially extracted, solvent extracts (Petroleum ether, chloroform and Methanol) of stem bark, leaves and callus from Amoora rohituka. The antioxidative capacity of the extracts were examined by using DPPH (1,1-diphenyl,2-picryl hydrazyl), ABTS (2,2’-azinobis-3-ethyl-benzothiozoline-6-sulphonic acid) and NOS (Nitric oxide scavenging) assays by using Gallic acid as standard control. Among the tested extracts, methanol extract of stem bark showed better antioxidative capacity. The total antioxidant activity was expressed as µg equivalent of Gallic acid per gram on dry weight basis. IC50 values for methanol extract of stem bark were 7.53 µg/ml; 34.92 µg/ml and 56.31 µg/ml in ABTS, DPPH and NOS assays respectively. Whereas, leaves and callus extracts showed moderate antioxidative properties. 
Regulatory aspects of medical devices in India
Authors: Targhotra Monika , Aggarwal Geeta , Popli Harvinder , Gupta Madhu
Published: April 2018

Today millions of patients depend on medical device based treatment for the management and diagnose of several diseases. Quality and safety of device is depends upon the regulatory guidelines. Medical device manufacturing in India should be taken seriously due to large population and the potential severity of the consequences of introducing inferior and unsafe products to the market-place. Therefore a law containing adequate guidelines of rules and regulations are required for monitoring the entry of such devices into the use in public health. The regulations define requirements of medical device design, development and manufacture to ensure that products reaching market are safe and effective. Presently in India regulatory body CDSCO is governing regulation for regulation of devices which with time, amendment introducing in the law will provide safety assurance to public health. This review provides a study on different regulatory aspects of medical device implemented in India. The present review discuss about the classification of medical devices and regulations aspects in India.
Sustained release formulation of metformin-solid dispersion based on gelucire 50/13- PEG4000: an in vitro study
Authors: Momoh Mumini A , Ugwu Calister E , Jackson Tenderwealth Clement , Udodiri Ngumezi C
Published: April 2018

Metformin is a hydrophilic hypoglycemic agent with permeability and short half-life problems which leads to its low bioavailability. Solid dispersion is one of the unique approaches, to improve bioavailability profiles of drugs. The aim of this study was to prepare and evaluate solid dispersions (SDs) of metformin with polyethylene glycol 4000 (PEG 4000) and Gelucire®50/13 in order to increase its permeability and bioavailability. Solid dispersions of Metformin containing various ratios of PEG 4000: Gelucire®50/13 (1:1, 1:2, 2:1, 1:4, 4:1 as Batch A, Batch B, Batch C, Batch D and Batch E) were prepared using solvent evaporation and fusion techniques. The physical mixtures which served as controls were also prepared. The SDs were evaluated using encapsulation efficiency, percentage yield. The formulations were also characterized with FTIR and DSC. The in vitro drug release studies were also evaluated. The results obtained showed that solid dispersion formulations at pH, 1.2 and 7.4 demonstrated higher release rates than the pure drug. The SDs showed high drug release rates and encapsulation efficiency (% EE) although Batch C containing PEG 4000 and Gelucire 50/13 in the ratio of 2:1 appeared as the batch with most % EE, drug release with broad melting peak. The release rate of metformin increased with increasing amount of PEG 4000. Batch C, SDs containing PEG 4000 and Gelucire 50/13 in the ratio of 2:1 were found to be the most optimized batch with enhanced encapsulation efficiency, most drug release and therefore, improved permeability and bioavailability of metformin.
Purified Quercetin From in vitro Cell Suspension Cultures of Caesalpinia pulcherrima Sw. and Its Antimicrobial Potentials
Authors: Greeshma GM , Aswathy JM , Greeshma Murukan , Bosco Lawarence , K Murugan
Published: April 2018

Tribal people use the flower extract of Caesalpinia pulcherrima to cure liver, stomach and skin disorders in Indian traditional medicine. This study aimed to evaluate the protective roles of purified quercetin extracted from suspension culture of C. pulcherrima against selected bacterial and fungal pathogens. A simple protocol was developed for callus production using leaf explants. 2, 4-D (2.5 mg/l), BAP (2.5 mg/l) + kin (1 mg/ml) was effective for optimal callus induction. Subsequently, cell suspension culture was established.  Role of effect of elicitors in cell suspension culture was carried. Sucrose, ABA and salicylic acid (SA) at different concentrations influenced cell biomass and quercetin accumulation. Cells cultured in the medium fortified with 45 g/L sucrose without ABA/SA showed the highest quercetin content (16.5 mg/g). Flavonoids was purified, fractionated by HPLC-DAD followed by NMR revealed the presence of quercetin, isoquercetin, quercetrin, rutin, quercetin 3-O-β-D-xyloside, quercetin 3-Oarabinopyranoside, quercetin 3-O- α-arabinopyranosyl (1→2) β-galactopyranoside,  isorhamnetin 3-O-rutinoside and an unknown compound. Subsequently, anthocyanin was evaluated for antimicrobial activity against selected Gram-positive bacteria (S. aureus, Bacillus subtilis, and Enterococcus faecalis), Gram-negative bacteria (E. coli, and Pseudomonas aeruginosa) and fungi such as Aspergillus flavus, Candida albicans and Trichophyton rubrum. Quercetin was found to be active against four bacteria and the fungi- Candida albicans. The highest inhibitory effects were found on S. aureus and Enterococcus faecalis. Gram negative bacteria showed more resistance i.e., with insignificant MIC and MBC values. Among the fungi, Aspergillus flavus and Trichophyton rubrum displayed remarkable MIC and MKC values. These results suggest that quercetin may be used as a natural antimicrobial agent. Future works are designed to trace the molecular mechanism of antimicrobial potentiality of quercetin against these tested pathogens
STUDY ON PRACTICAL TECHNOLOGIES OF AERIAL TRIANGULATION FOR REAL SCENE 3D MOELING WITH OBLIQUE PHOTOGRAPHY
Authors: Cai Z , Liu W. , Luo G. , Xiang Z.
Published: April 2018

Abstract. The key technologies in the real scene 3D modeling of oblique photography mainly include the data acquisition of oblique photography, layout and surveying of photo control points, oblique camera calibration, aerial triangulation, dense matching of multi-angle image, building of triangulation irregular network (TIN) and TIN simplification and automatic texture mapping, among which aerial triangulation is the core and the results of aerial triangulation directly affect the later model effect and the corresponding data accuracy. Starting from this point of view, this paper aims to study the practical technologies of aerial triangulation for real scene 3D modeling with oblique photography and finally proposes a technical method of aerial triangulation with oblique photography which can be put into practice.
RETRIEVAL OF AEROSOL OPTICAL PROPERTIES FROM GROUND-BASED REMOTE SENSING MEASUREMENTS: AEROSOL ASYMMETRY FACTOR AND SINGLE SCATTERING ALBEDO
Authors: Qie L. , Li Z. , Li L. , Li K. , Li D. , Xu H.
Published: April 2018

Abstract. The Devaux-Vermeulen-Li method (DVL method) is a simple approach to retrieve aerosol optical parameters from the Sun-sky radiance measurements. This study inherited the previous works of retrieving aerosol single scattering albedo (SSA) and scattering phase function, the DVL method was modified to derive aerosol asymmetric factor (g). To assess the algorithm performance at various atmospheric aerosol conditions, retrievals from AERONET observations were implemented, and the results are compared with AERONET official products. The comparison shows that both the DVL SSA and g were well correlated with those of AERONET. The RMSD and the absolute value of MBD deviations between the SSAs are 0.025 and 0.015 respectively, well below the AERONET declared SSA uncertainty of 0.03 for all wavelengths. For asymmetry factor g, the RMSD deviations are smaller than 0.02 and the absolute values of MBDs smaller than 0.01 at 675, 870 and 1020 nm bands. Then, considering several factors probably affecting retrieval quality (i.e. the aerosol optical depth (AOD), the solar zenith angle, and the sky residual error, sphericity proportion and Ǻngström exponent), the deviations for SSA and g of these two algorithms were calculated at varying value intervals. Both the SSA and g deviations were found decrease with the AOD and the solar zenith angle, and increase with sky residual error. However, the deviations do not show clear sensitivity to the sphericity proportion and Ǻngström exponent. This indicated that the DVL algorithm is available for both large, non-spherical particles and spherical particles. The DVL results are suitable for the evaluation of aerosol direct radiative effects of different aerosol types.
AN AUTONOMOUS GPS-DENIED UNMANNED VEHICLE PLATFORM BASED ON BINOCULAR VISION FOR PLANETARY EXPLORATION
Authors: Qin M. , Wan X. , Shao Y. Y. , Li S. Y.
Published: April 2018

Abstract. Vision-based navigation has become an attractive solution for autonomous navigation for planetary exploration. This paper presents our work of designing and building an autonomous vision-based GPS-denied unmanned vehicle and developing an ARFM (Adaptive Robust Feature Matching) based VO (Visual Odometry) software for its autonomous navigation. The hardware system is mainly composed of binocular stereo camera, a pan-and tilt, a master machine, a tracked chassis. And the ARFM-based VO software system contains four modules: camera calibration, ARFM-based 3D reconstruction, position and attitude calculation, BA (Bundle Adjustment) modules. Two VO experiments were carried out using both outdoor images from open dataset and indoor images captured by our vehicle, the results demonstrate that our vision-based unmanned vehicle is able to achieve autonomous localization and has the potential for future planetary exploration.
EXPLORING CAPABILITIES OF SENTINEL-2 FOR VEGETATION MAPPING USING RANDOM FOREST
Authors: Saini R. , Ghosh S. K.
Published: April 2018

Abstract. Accurate vegetation mapping is essential for monitoring crop and sustainable agricultural practice. This study aims to explore the capabilities of Sentinel-2 data over Landsat-8 Operational Land Imager (OLI) data for vegetation mapping. Two combination of Sentinel-2 dataset have been considered, first combination is 4-band dataset at 10m resolution which consists of NIR, R, G and B bands, while second combination is generated by stacking 4 bands having 10 m resolution along with other six sharpened bands using Gram-Schmidt algorithm. For Landsat-8 OLI dataset, six multispectral bands have been pan-sharpened to have a spatial resolution of 15 m using Gram-Schmidt algorithm. Random Forest (RF) and Maximum Likelihood classifier (MLC) have been selected for classification of images. It is found that, overall accuracy achieved by RF for 4-band, 10-band dataset of Sentinel-2 and Landsat-8 OLI are 88.38 %, 90.05 % and 86.68 % respectively. While, MLC give an overall accuracy of 85.12 %, 87.14 % and 83.56 % for 4-band, 10-band Sentinel and Landsat-8 OLI respectively. Results shown that 10-band Sentinel-2 dataset gives highest accuracy and shows a rise of 3.37 % for RF and 3.58 % for MLC compared to Landsat-8 OLI. However, all the classes show significant improvement in accuracy but a major rise in accuracy is observed for Sugarcane, Wheat and Fodder for Sentinel 10-band imagery. This study substantiates the fact that Sentinel-2 data can be utilized for mapping of vegetation with a good degree of accuracy when compared to Landsat-8 OLI specifically when objective is to map a sub class of vegetation.
METHODS FROM INFORMATION EXTRACTION FROM LIDAR INTENSITY DATA AND MULTISPECTRAL LIDAR TECHNOLOGY
Authors: Scaioni M. , Höfle B. , Baungarten Kersting A. P. , Barazzetti L. , Previtali M. , Wujanz D.
Published: April 2018

Abstract. LiDAR is a consolidated technology for topographic mapping and 3D reconstruction, which is implemented in several platforms On the other hand, the exploitation of the geometric information has been coupled by the use of laser intensity, which may provide additional data for multiple purposes. This option has been emphasized by the availability of sensors working on different wavelength, thus able to provide additional information for classification of surfaces and objects. Several applications ofmonochromatic and multi-spectral LiDAR data have been already developed in different fields: geosciences, agriculture, forestry, building and cultural heritage. The use of intensity data to extract measures of point cloud quality has been also developed. The paper would like to give an overview on the state-of-the-art of these techniques, and to present the modern technologies for the acquisition of multispectral LiDAR data. In addition, the ISPRS WG III/5 on ‘Information Extraction from LiDAR Intensity Data’ has collected and made available a few open data sets to support scholars to do research on this field. This service is presented and data sets delivered so far as are described.
DETECTION OF THE NITRATE POLLUTION SOURCES IN SHALLOW AQUIFER, USING INTEGRATION OF RS&GIS WITH STABLE ISOTOPES TECHNOLOGIES
Authors: Shakak N. B. I.
Published: April 2018

Abstract. Geographical information system (GIS) and remote sensing technique is a tool which is used for acquiring data from space, storing, analyzing and displaying spatial data, also can use for investigating source of environmental pollution which is affect health. Sudan landsat mosaic image which acquired in 2013 was used in this study to develop land use and land cover maps for tow selected study area, Khartoum urban area, and Bara locality in North kordofan state western Sudan. The main objective to assess the source of Nitrate pollution in shallow aquifer. ERDAS software was used to create land cover-land use maps for the study areas. For Khartoum town we used land sat mosaic image which acquire in 2013, and used supervised classification which more closely controlled than unsupervised. In this process, we select pixel that represent patterns you recognized or can identify with help from knowledge of the data, the classes desired, and the algorithm to be used is required. In this paper we integrated the (GIS&RS), and stable isotopes methods for fingerprinting Nitrate sources in shallow boreholes. The global positioning system (GPS), used in the field to identify the shallow boreholes location in a three dimensional coordinate (Latitude, longitude, and altitude), Water samples were collected from 19 shallow boreholes in the study areas according to the standard sampling method send to laboratory to measure stable nitrogen (δ15Nnitrate), and Nitrate-oxygen (δ18Onitrate) isotopes. Analysis were conducted by using isotope ratio mass spectrometry (IRMS). We can conclude that, special distribution and integration of GIs & RS help to identify the source of nitrate pollution.
THE OPINION OF CROWD PARTICIPATORY FOR OPENSTREETMAP: A SURVEY IN CHINA
Authors: Shen J. , Yang S. , Zang K. , Zhou J. , Fan H. , Mao B.
Published: April 2018

Abstract. At the present, OpenStreetMap (OSM) is considered as one of the most successful and popular VGI (Volunteered Geographic Information) projects. It provides a platform that all the registered members coming from different areas in the world can cooperate with each other to mapping our world. Besides, OSM attracts more and more people, companies and even the governmental agencies because of its free and open source. Studies have proofed that both the quantity and quality of OSM data in several western countries, i.e. Germany, France and the Netherland are even better than the authority data. In recent years, the quantity of the OSM data and the number of contributors in China increased rapidly, but the overall distribution of OSM data is very fit with the distribution of population and the economic development and it displays an uneven development in different provinces and cities in China. Besides, the state of the OSM in China is just similar to that in Germany in 2010 in terms of data quantity and quality, although China is about 25 times to Germany regarding land area and the smartphone penetration in China and Germany does not have a large distance (51.7 % to 68.8 %). Why is the development of OSM in China so poor and backward when comparing that with western countries, although the environment in hardware and software in China are similar to the western countries? Attempting to answer this question, this paper presents a user survey in China. Mainly, knowledges and experiences about OSM and OSM contribution were asked in the user survey. The user survey was conducted both by paper and pen and by using online platform. Totally, over 1200 participants with the age range from 15 to 80 and a huge diverse of background took part in the user survey. In this paper, we would like to describe the design of the questions for the user survey at first. Then we will demonstrate the results of the user survey, as well as the analysis and conclusions, which can be drawn from the user survey.
A NEW PROCESS-ORIENTED AND SPATIOTEMPORAL DATA MODEL FOR GIS DATA
Authors: Shen Y.
Published: April 2018

Abstract. With the rapid development of wireless sensor and information technology, there is a trend of transition from "digital monitoring" to "intelligence monitoring" advancing process. The traditional model cannot completely match the dynamic data to accurately describe changes of geographical and environmental changes. In this paper, we try to build a process-oriented and real-time spatiotemporal data model to meet the demands. With various types of monitoring devices, detection methods and the utilization of new technologies, the model can simulate the possible waterlog area in a specific year by analyzing the given data. By testing and modifying the spatiotemporal model, we can come to a rational conclusion that our model can forecast the actual situation in certain extent.
BUILT-UP AREA DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGES USING MULTI-SCALE WAVELET TRANSFORM AND LOCAL SPATIAL STATISTICS
Authors: Chen Y. , Zhang Y. , Gao J. , Yuan Y. , Lv Z.
Published: April 2018

Abstract. Recently, built-up area detection from high-resolution satellite images (HRSI) has attracted increasing attention because HRSI can provide more detailed object information. In this paper, multi-resolution wavelet transform and local spatial autocorrelation statistic are introduced to model the spatial patterns of built-up areas. First, the input image is decomposed into high- and low-frequency subbands by wavelet transform at three levels. Then the high-frequency detail information in three directions (horizontal, vertical and diagonal) are extracted followed by a maximization operation to integrate the information in all directions. Afterward, a cross-scale operation is implemented to fuse different levels of information. Finally, local spatial autocorrelation statistic is introduced to enhance the saliency of built-up features and an adaptive threshold algorithm is used to achieve the detection of built-up areas. Experiments are conducted on ZY-3 and Quickbird panchromatic satellite images, and the results show that the proposed method is very effective for built-up area detection.
EXAMINATION OF SPECTRAL TRANSFORMATIONS ON SPECTRAL MIXTURE ANALYSIS
Authors: Deng Y. , Wu C.
Published: April 2018

Abstract. While many spectral transformation techniques have been applied on spectral mixture analysis (SMA), few study examined their necessity and applicability. This paper focused on exploring the difference between spectrally transformed schemes and untransformed scheme to find out which transformed scheme performed better in SMA. In particular, nine spectrally transformed schemes as well as untransformed scheme were examined in two study areas. Each transformed scheme was tested 100 times using different endmember classes’ spectra under the endmember model of vegetation- high albedo impervious surface area-low albedo impervious surface area-soil (V-ISAh-ISAl-S). Performance of each scheme was assessed based on mean absolute error (MAE). Statistical analysis technique, Paired-Samples T test, was applied to test the significance of mean MAEs’ difference between transformed and untransformed schemes. Results demonstrated that only NSMA could exceed the untransformed scheme in all study areas. Some transformed schemes showed unstable performance since they outperformed the untransformed scheme in one area but weakened the SMA result in another region.
QUALITY INSPECTION AND ANALYSIS OF THREE-DIMENSIONAL GEOGRAPHIC INFORMATION MODEL BASED ON OBLIQUE PHOTOGRAMMETRY
Authors: Dong S. , Yan Q. , Xu Y. , Bai J.
Published: April 2018

Abstract. In order to promote the construction of digital geo-spatial framework in China and accelerate the construction of informatization mapping system, three-dimensional geographic information model emerged. The three-dimensional geographic information model based on oblique photogrammetry technology has higher accuracy, shorter period and lower cost than traditional methods, and can more directly reflect the elevation, position and appearance of the features. At this stage, the technology of producing three-dimensional geographic information models based on oblique photogrammetry technology is rapidly developing. The market demand and model results have been emerged in a large amount, and the related quality inspection needs are also getting larger and larger. Through the study of relevant literature, it is found that there are a lot of researches on the basic principles and technical characteristics of this technology, and relatively few studies on quality inspection and analysis. On the basis of summarizing the basic principle and technical characteristics of oblique photogrammetry technology, this paper introduces the inspection contents and inspection methods of three-dimensional geographic information model based on oblique photogrammetry technology. Combined with the actual inspection work, this paper summarizes the quality problems of three-dimensional geographic information model based on oblique photogrammetry technology, analyzes the causes of the problems and puts forward the quality control measures. It provides technical guidance for the quality inspection of three-dimensional geographic information model data products based on oblique photogrammetry technology in China and provides technical support for the vigorous development of three-dimensional geographic information model based on oblique photogrammetry technology.
HIMAWARI-8 GEOSTATIONARY SATELLITE OBSERVATION OF THE INTERNAL SOLITARY WAVES IN THE SOUTH CHINA SEA
Authors: Gao Q. , Dong D. , Yang X. , Husi L. , Shang H.
Published: April 2018

Abstract. The new generation geostationary meteorological satellite, Himawari-8 (H-8), was launched in 2015. Its main payload, the Advanced Himawari Imager (AHI), can observe the earth with 10-minute interval and as high as 500–m spatial resolution. This makes the H-8 satellite an ideal data source for marine and atmospheric phenomena monitoring. In this study, the propagation of internal solitary waves (ISWs) in the South China Sea is investigated using AHI imagery time series for the first time. Three ISWs cases were studied at 3:30–8:00 UTC on 30 May, 2016. In all, 28 ISWs were detected and tracked between the time series image pairs. The propagation direction and phase speeds of these ISWs are calculated and analyzed. The observation results show that the properties of ISW propagation not stable and maintains nonlinear during its lifetime. The resultant ISW speeds agree well with the theoretical values estimated from the Taylor-Goldstein equation using Argo dataset. This study has demonstrated that the new generation geostationary satellite can be a useful tool to monitor and investigate the oceanic internal waves.
THE RESEARCH AND EVALUATION OF ROAD ENVIRONMENT IN THE BLOCK OF CITY BASED ON 3-D STREETSCAPE DATA
Authors: Guan L. , Ding Y. , Ge J. , Yang H. , Feng X. , Chen P.
Published: April 2018

Abstract. This paper focus on the problem of the street environment of block unit, based on making clear the acquisition mode and characteristics of 3D streetscape data，the paper designs the assessment model of regional block unit based on 3D streetscape data. The 3D streetscape data with the aid of oblique photogrammetry surveying and mobile equipment，will greatly improve the efficiency and accuracy of urban regional assessment, and expand the assessment scope. Based on the latest urban regional assessment model, with the street environment assessment model of the current situation, this paper analyzes the street form and street environment assessment of current situation in the typical area of Beijing. Through the street environment assessment of block unit, we found that in the megacity street environment assessment model of block unit based on 3D streetscape data has greatly help to improve the assessment efficiency and accuracy. At the same time, motor vehicle lane, green shade deficiency, bad railings and street lost situation is still very serious in Beijing, the street environment improvement of the block unit is still a heavy task. The research results will provide data support for urban fine management and urban design, and provide a solid foundation for the improvement of city image.
REMOTE SENSING MONITORING OF WETLAND OF SANYA AND LINGSHUI IN HAINAN PROVINCE, BASED ON GF DATA
Authors: Guo Y. , Li L.
Published: April 2018

Abstract. Wetland is an important land and natural resources with many functions. It is closely related to the survival, reproduction and development of human beings, as well as one of the most important living environments of human beings. Hainan Province, which is located in the northern edge of the tropics with the tropical monsoon climate and covers a variety of wetland types. In this paper, in order to investigate the change of wetland distribution and the variations of area in study region, the remote sensing data of GF-1 and GF-2 from 2009 to 2015 were used. The method used in this study was automatic information extraction and human-computer interaction. The wetland types in study area mainly was divided into three level-1 classes, including coastal wetland, river wetland and lake wetland, and was also divided into eight level-2 classes at the same time. The results showed that the total area of wetland increased 9.13 km2 in study area from 2009 to 2015, in which the area of constructed wetland increased 6.29 km2, the natural wetland increased only 2.83 km2. The area of natural wetland has not changed much, but its proportion has been reduced. This reflected that the wetland in the research area has been more artificially intervened since 2009, which caused the increasing of the area of constructed wetland. As the wetland resources can coordinate the sustainable benefit of the society, the protection of natural wetland should be strengthened and valued.
A METHOD OF MICROWAVE SOIL MOISTURE INVERSION WITHOUT DEPENDENCE ON THE FIELD MEASUREMENT DATA
Authors: Han L. , Chen L. , Zhang Y. , Qin X.
Published: April 2018

Abstract. In the process of retrieving soil moisture (Mv) by active microwave, surface roughness is an important parameter affecting the accuracy of mv retrieval.Using effective roughness to replace the original measurement value of surface roughness can effectively avoid the error. In the existing methods of soil water inversion, the value of fixed mean square root height (S) was used to retrieve the surface of different types and vegetation coverage, neglecting the difference of different ground surface. This paper proposed a LUT (look up table) soil moisture inversion method based on the pixel scale effective roughness. First, the effective roughness was obtained by using the measured soil moisture value of the sampling point based on the LUT method. And then the empirical function between the optimum roughness (S, Correlation length-l) and the backscattering coefficient of VV/HH polarization was obtained. The value of each pixel's S and L was obtained by using the empirical function. Finally, the soil moisture was retrieved by the LUT method. Using the measured data of the Linze sample area to verify, the results showed that the proposed method was superior to the LUT inversion method using the S fixed value without dependence on the measured data of the roughness. It was also proved that the inversion method proposed in this paper is not only applicable to the bare soil area, but still maintained a high precision in the soil moisture inversion results in the area with large vegetation coverage.
ANALYSIS AND APPLICATION OF LINEAMENTS EXTRACTION USING GF-1 SATELLITE IMAGES IN LOESS COVERED
Authors: Han L. , Liu Z. , Zhao Z. , Ning Y.
Published: April 2018

Abstract. Faults, folds and other tectonics regions belong to the weak areas of geology, will form linear geomorphology as a result of erosion, which appears as lineaments on the earth surface. Lineaments control the distribution of regional formation, groundwater, and geothermal, etc., so it is an important indicator for the evaluation of the strength and stability of the geological structure. The current algorithms mostly are artificial visual interpretation and computer semi-automatic extraction, not only time-consuming, but labour-intensive. It is difficult to guarantee the accuracy due to the dependence on the expert’s knowledge, experience, and the computer hardware and software. Therefore, an integrated algorithm is proposed based on the GF-1 satellite image data, taking the loess area in the northern part of Jinlinghe basin as an example. Firstly, the best bands with 4-3-2 composition is chosen using optimum index factor (OIF). Secondly, line edge is highlighted by Gaussian high-pass filter and tensor voting. Finally, the Hough Transform is used to detect the geologic lineaments. Thematic maps of geological structure in this area are mapped through the extraction of lineaments. The experimental results show that, influenced by the northern margin of Qinling Mountains and the declined Weihe Basin, the lineaments are mostly distributed over the terrain lines, and mainly in the NW, NE, NNE, and ENE directions. It provided a reliable basis for analysing tectonic stress trend because of the agreement with the existing regional geological survey. The algorithm is more practical and has higher robustness, less disturbed by human factors.
THIN ICE AREA EXTRACTION IN THE SEASONAL SEA ICE ZONES OF THE NORTHERN HEMISPHERE USING MODIS DATA
Authors: Hayashi K. , Naoki K. , Cho K.
Published: April 2018

Abstract. Sea ice has an important role of reflecting the solar radiation back into space. However, once the sea ice area melts, the area starts to absorb the solar radiation which accelerates the global warming. This means that the trend of global warming is likely to be enhanced in sea ice areas. In this study, the authors have developed a method to extract thin ice area using reflectance data of MODIS onboard Terra and Aqua satellites of NASA. The reflectance of thin sea ice in the visible region is rather low. Moreover, since the surface of thin sea ice is likely to be wet, the reflectance of thin sea ice in the near infrared region is much lower than that of visible region. Considering these characteristics, the authors have developed a method to extract thin sea ice areas by using the reflectance data of MODIS (NASA MYD09 product, 2017) derived from MODIS L1B. By using the scatter plots of the reflectance of Band 1 (620 nm–670 nm) and Band 2 (841 nm–876 nm)) of MODIS, equations for extracting thin ice area were derived. By using those equations, most of the thin ice areas which could be recognized from MODIS images were well extracted in the seasonal sea ice zones in the Northern Hemisphere, namely the Sea of Okhotsk, the Bering Sea and the Gulf of Saint Lawrence. For some limited areas, Landsat-8 OLI images were also used for validation.
A COMPARATIVE ANALYSIS OF SPATIOTEMPORAL DATA FUSION MODELS FOR LANDSAT AND MODIS DATA
Authors: Hazaymeh K. , Almagbile A.
Published: April 2018

Abstract. In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODIS surface reflectance, and NDVI. The algorithms included the spatial and temporal adaptive reflectance fusion model (STARFM), sparse representation based on a spatiotemporal reflectance fusion model (SPSTFM), and spatiotemporal image-fusion model (STI-FM). The objectives of this study were to (i) compare the performance of these three fusion models using a one Landsat-MODIS spectral reflectance image pairs using time-series datasets from the Coleambally irrigation area in Australia, and (ii) quantitatively evaluate the accuracy of the synthetic images generated from each fusion model using statistical measurements. Results showed that the three fusion models predicted the synthetic Landsat-7 image with adequate agreements. The STI-FM produced more accurate reconstructions of both Landsat-7 spectral bands and NDVI. Furthermore, it produced surface reflectance images having the highest correlation with the actual Landsat-7 images. This study indicated that STI-FM would be more suitable for spatiotemporal data fusion applications such as vegetation monitoring, drought monitoring, and evapotranspiration.
AN ADAPTIVE SHIP DETECTION ALGORITHM FOR HRWS SAR IMAGES UNDER COMPLEX BACKGROUND: APPLICATION TO SENTINEL1A DATA
Authors: He G. , Xia Z. , Chen H. , Li K. , Zhao Z. , Guo Y. , Feng P.
Published: April 2018

Abstract. Real-time ship detection using synthetic aperture radar (SAR) plays a vital role in disaster emergency and marine security. Especially the high resolution and wide swath (HRWS) SAR images, provides the advantages of high resolution and wide swath synchronously, significantly promotes the wide area ocean surveillance performance. In this study, a novel method is developed for ship target detection by using the HRWS SAR images. Firstly, an adaptive sliding window is developed to propose the suspected ship target areas, based upon the analysis of SAR backscattering intensity images. Then, backscattering intensity and texture features extracted from the training samples of manually selected ship and non-ship slice images, are used to train a support vector machine (SVM) to classify the proposed ship slice images. The approach is verified by using the Sentinl1A data working in interferometric wide swath mode. The results demonstrate the improvement performance of the proposed method over the constant false alarm rate (CFAR) method, where the classification accuracy improved from 88.5 % to 96.4 % and the false alarm rate mitigated from 11.5 % to 3.6 % compared with CFAR respectively.
MAN-MADE OBJECT EXTRACTION FROM REMOTE SENSING IMAGERY BY GRAPH-BASED MANIFOLD RANKING
Authors: He Y. , Wang X. , Hu X. Y. , Liu S. H.
Published: April 2018

Abstract. The automatic extraction of man-made objects from remote sensing imagery is useful in many applications. This paper proposes an algorithm for extracting man-made objects automatically by integrating a graph model with the manifold ranking algorithm. Initially, we estimate a priori value of the man-made objects with the use of symmetric and contrast features. The graph model is established to represent the spatial relationships among pre-segmented superpixels, which are used as the graph nodes. Multiple characteristics, namely colour, texture and main direction, are used to compute the weights of the adjacent nodes. Manifold ranking effectively explores the relationships among all the nodes in the feature space as well as initial query assignment; thus, it is applied to generate a ranking map, which indicates the scores of the man-made objects. The man-made objects are then segmented on the basis of the ranking map. Two typical segmentation algorithms are compared with the proposed algorithm. Experimental results show that the proposed algorithm can extract man-made objects with high recognition rate and low omission rate.
NOVEL HYPERSPECTRAL ANOMALY DETECTION METHODS BASED ON UNSUPERVISED NEAREST REGULARIZED SUBSPACE
Authors: Hou Z. , Chen Y. , Tan K. , Du P.
Published: April 2018

Abstract. Anomaly detection has been of great interest in hyperspectral imagery analysis. Most conventional anomaly detectors merely take advantage of spectral and spatial information within neighboring pixels. In this paper, two methods of Unsupervised Nearest Regularized Subspace-based with Outlier Removal Anomaly Detector (UNRSORAD) and Local Summation UNRSORAD (LSUNRSORAD) are proposed, which are based on the concept that each pixel in background can be approximately represented by its spatial neighborhoods, while anomalies cannot. Using a dual window, an approximation of each testing pixel is a representation of surrounding data via a linear combination. The existence of outliers in the dual window will affect detection accuracy. Proposed detectors remove outlier pixels that are significantly different from majority of pixels. In order to make full use of various local spatial distributions information with the neighboring pixels of the pixels under test, we take the local summation dual-window sliding strategy. The residual image is constituted by subtracting the predicted background from the original hyperspectral imagery, and anomalies can be detected in the residual image. Experimental results show that the proposed methods have greatly improved the detection accuracy compared with other traditional detection method.
RESEARCH ON THE CRUSTAL DEFORMATION CHARACTERISTICS IN BEIJING USING INSAR AND GNSS TECHNOLOGY
Authors: Hu L. , Xing C. , Dai K. , Li Y. , Li Z. , Zhang J. , Yan R. , Xu B. , Fan Z.
Published: April 2018

Abstract. In this paper, we tried to reveal the characteristics of the crustal deformation in both the horizontal and vertical directions in Beijing using InSAR and GNSS observations. Regarding the serious land subsidence in Beijing plain, we also analysed the mechanism of the occurrence and development of the subsidence in combination with the tectonic settings. The GNSS results reveal that the crust in Beijing shows a significant left-lateral trend movement in the horizontal direction, while the vertical direction shows a gentle rise in the mountainous region and a significant subsidence in the plain area. The INSAR results shows a detailed subsidence area and the deformation characteristics were analyzed considering the fault activity. The foundation of geological structure dominates the subsiding in the Beijing Plain. The exploitation of groundwater exacerbates the level of subsidence and has new development. The active faults controlled the development of the subsiding in present days.
MASHUP SCHEME DESIGN OF MAP TILES USING LIGHTWEIGHT OPEN SOURCE WEBGIS PLATFORM
Authors: Hu T. , Fan J. , He H. , Qin L. , Li G.
Published: April 2018

Abstract. To address the difficulty involved when using existing commercial Geographic Information System platforms to integrate multi-source image data fusion, this research proposes the loading of multi-source local tile data based on CesiumJS and examines the tile data organization mechanisms and spatial reference differences of the CesiumJS platform, as well as various tile data sources, such as Google maps, Map World, and Bing maps. Two types of tile data loading schemes have been designed for the mashup of tiles, the single data source loading scheme and the multi-data source loading scheme. The multi-sources of digital map tiles used in this paper cover two different but mainstream spatial references, the WGS84 coordinate system and the Web Mercator coordinate system. According to the experimental results, the single data source loading scheme and the multi-data source loading scheme with the same spatial coordinate system showed favorable visualization effects; however, the multi-data source loading scheme was prone to lead to tile image deformation when loading multi-source tile data with different spatial references. The resulting method provides a low cost and highly flexible solution for small and medium-scale GIS programs and has a certain potential for practical application values. The problem of deformation during the transition of different spatial references is an important topic for further research.
CITY-LEVEL ADULT STROKE PREVALENCE IN RELATION TO REMOTE SENSING DERIVED PM2.5 ADJUSTING FOR UNHEALTHY BEHAVIORS AND MEDICAL RISK FACTORS
Authors: Hu Z.
Published: April 2018

Abstract. This research explores the use of PM2.5 gird derived from remote sensing for assessing the effect of long-term exposure to PM2.5 (ambient air pollution of particulate matter with an aerodynamic diameter of 2.5 μm or less) on stroke, adjusting for unhealthy behaviors and medical risk factors. Health data was obtained from the newly published CDC “500 Cities Project” which provides city- and census tract-level small area estimates for chronic disease risk factors, and clinical preventive service use for the largest 500 cities in the United States. PM2.5 data was acquired from the “The Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD), V1 (1998–2012)” datasets. Average PM2.5 were calculated for each city using a GIS zonal statistics function. Map data visualization and pattern comparison, univariate linear regression, and a multivariate linear regression model fitted using a generalized linear model via penalized maximum likelihood found that long-term exposure to ambient PM2.5 may increase the risk of stroke. Increasing physical activity, reducing smoking and body weight, enough sleeping, controlling diseases such as blood pressure, coronary heart disease, diabetes, and cholesterol, may mitigate the effect. PM2.5 grids derived from moderate resolution satellite remote sensing imagery may offer a unique opportunity to fill the data gap due to limited ground monitoring at broader scales. The evidence of raised stroke prevalence risk in high PM2.5 areas would support targeting of policy interventions on such areas to reduce pollution levels and protect human health.
A STUDY ON THE INTRODUCTION OF TOTAL NATURAL RESOURCES MANAGEMENT SYSTEM USING THE ENVIRONMENTAL CONSERVATION VALUE ASSESSMENT MAP
Authors: Hwang J. , Lee K. , Jang R. , Jeon S.
Published: April 2018

Abstract. The environmental impact assessment system and the environmental plan for the preservation of the land environment are carried out with the aim of preventing damage to the environment caused by human activities, improving the quality of life and creating a pleasant environment. However, despite these various systems, the natural resources have been continuously damaged, and the system to cope with them has been advanced, but there has been a limit to fully conserve natural resources from development. The total amount of natural resources is being promoted as a part of the purpose of supplementing the system, but the evaluation method of the total amount of natural resources suitable for domestic situation is not presented yet. Natural resources are diverse and complicated in their categories and elements, and their measurement units are also diverse, making it difficult to synthesize them into one unit. Therefore, in this study, we proposed a method to calculate the total amount by using the evaluation map of the Environmental Conservation Value Assessment Map (ECVAM) which derives the final achievement with 5 grades using 65 evaluation items. However, we consistently applied the weight twice as much as the grade and did not utilize any information other than the map of ECVAM. The results of this study can be applied to the Total Natural Resources Management System through follow-up study such as application of various environmental information and weighting method.
ESTIMATION OF CARBON SINK IN SURFACE CARBONATE ROCKS OF GUANGXI PROVINCE BY USING REMOTE SENSING IMAGES
Authors: Jia B. , Zhou G. , Wang H. , Yue T. , Huang W.
Published: April 2018

Abstract. Studies of the imbalance of source sinks in the carbon cycle show that CO2 absorbed during rock weathering is part of the "miss carbon" of the global carbon cycle. The carbon sink contribution of carbonate rocks obviously plays a very important role in the absorption of atmospheric CO2. Estimation of carbon sinks in karst dynamic system of Guangxi province has great significance for further understanding of global karst carbon cycle and global climate research. This paper quotes the rock data from Tao Xiaodong's paper, which is obtained using RS and GIS techniques. At the same time, the dissolution rate model studied by Zhou Guoqing and others was used to estimate the dissolution rate of carbonate rocks in Guangxi Province. Finally, the CO2 content consumed by carbonate karstification in Guangxi Province was 1342910.447 t a-1. The results obtained are in the same order of magnitude as the CO2 content consumed by carbonate rock karstification in Guangxi Province calculated by Tao Xiaodong.
CHINA’S MISSION IN SURVEYING，MAPPING AND GEOGRAPHIC INFORMATION DURING GLOBAL GOVERNANCE
Authors: Jia D. , Xue C. , Chen X.
Published: April 2018

Abstract. In the new era, it is proposed that China should be transformed from a participant and a cooperator into a designer, an impeller and a leader, continue taking an effect of responsible great power, increase public product supply, perfect a global governance system and contribute to China’s wisdom and China’s schemes during global governance, thus surveying and mapping geographic information takes on great mission. On the one hand, we have to timely grasp global geographic information data resources to provide an important scientific data support for China’s wisdom and China’s schemes. On the other hand, we have to provide surveying and mapping geographic information infrastructure construction and public products for developing countries, support location services within a global territorial scope, and realize the smoothness of talent flow, material flow and information flow between China and countries in the world. Meanwhile, external assistance and international communication and cooperation of surveying and mapping geographic information are also enhanced, and popularization and application of a geographic information technology in underdeveloped countries and regions are promoted.
A METHOD USING GNSS LH-REFLECTED SIGNALS FOR SOIL ROUGHNESS ESTIMATION
Authors: Jia Y. , Li W. , Chen Y. , Lv H. , Pei Y.
Published: April 2018

Abstract. Global Navigation Satellite System Reflectometry (GNSS-R) is based on the concept of receiving GPS signals reflected by the ground using a passive receiver. The receiver can be on the ground or installed on a small aircraft or UAV and collects the electromagnetic field scattered from the surface of the Earth. The received signals are then analyzed to determine the characteristics of the surface. Many research has been reported showing the capability of the GNSS-R technique. However, the roughness of the surface impacts the phase and amplitude of the received signals, which is still a worthwhile study. This paper presented a method can be used by GNSS-R to estimate the surface roughness. First, the data was calculated in the specular reflection with the assumption of a flat surface with different permittivity. Since the power reflectivity can be evaluated as the ratio of left-hand (LH) reflected signal to the direct right-hand (RH) signal. Then a semi-empirical roughness model was applied to the data for testing. The results showed the method can distinguish the water and the soil surface. The sensitivity of the parameters was also analyzed. It indicates this method for soil roughness estimation can be used by GNSS-R LH reflected signals. In the next step, several experiments need to be done for improving the model and exploring the way of the estimation.