VNU-UET Repository: No conditions. Results ordered -Date Deposited. 2024-03-28T11:28:36ZEPrintshttp://eprints.uet.vnu.edu.vn/images/sitelogo.pnghttps://eprints.uet.vnu.edu.vn/eprints/2017-12-12T09:27:30Z2017-12-12T09:27:30Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2775This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/27752017-12-12T09:27:30ZTMACT: A Thematic Map Automatically Creating Tool For Maintaining WebGIS SystemsQuang Thang Luuthanglq@fimo.edu.vnThi Nhat Thanh Nguyenthanhntn@vnu.edu.vnThanh Thuy Nguyennguyenthanhthuy@vnu.edu.vnQuang Hung Buihungbq@vnu.edu.vn2017-12-12T07:49:57Z2017-12-12T07:49:57Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2774This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/27742017-12-12T07:49:57ZSEAP: nền tảng mới cho việc khai thác và phân tích dữ liệu không gian lớnQuang Thang Luuthanglq@fimo.edu.vnAnh Phananhp@fimo.edu.vnThi Nhat Thanh Nguyenthanhntn@vnu.edu.vnQuang Hung Buihungbq@vnu.edu.vn2017-12-12T07:49:38Z2017-12-12T07:49:38Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2773This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/27732017-12-12T07:49:38ZSử dụng công nghệ Hadoop và Spark để lưu trữ và xử lý phân tán ảnh vệ tinh VNREDSat-1Quang Thang Luuthanglq@fimo.edu.vnAnh Phananhp@fimo.edu.vnViet Hung Luuhunglv@fimo.edu.vnThi Nhat Thanh Nguyenthanhntn@vnu.edu.vnQuang Hung Buihungbq@vnu.edu.vn2017-12-12T07:49:24Z2017-12-12T07:49:24Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2772This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/27722017-12-12T07:49:24ZSHRIMP: Hệ thống thu nhận, quản lý và chia sẻ dữ liệu ảnh vệ tinh từ trạm thu mặt đấtDuc Chuc Manchucmd@fimo.edu.vnQuang Thang Luuthanglq@fimo.edu.vnThi Nhat Thanh Nguyenthanhntn@vnu.edu.vnThanh Thuy Nguyennguyenthanhthuy@vnu.edu.vnQuang Hung Buihungbq@vnu.edu.vn2017-12-12T07:49:05Z2017-12-12T07:49:05Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2771This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/27712017-12-12T07:49:05ZXây dựng mạng cảm biến giá rẻ không dây FAirNet giám sát nồng độ bụi PM2.5 sử dụng bộ chuẩn OGC SWEDuc Van Havanhd@fimo.edu.vnThi Nhat Thanh Nguyenthanhntn@vnu.edu.vnThanh Thuy Nguyennguyenthanhthuy@vnu.edu.vnDuy Lien VuQuang Hung Buihungbq@vnu.edu.vn2017-12-12T07:48:45Z2017-12-12T07:48:45Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2769This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/27692017-12-12T07:48:45ZDevelopment of Virtual Campus Using 3D GIS Technology: a case study for Vietnam National University, Hanoi.Anh Phananhp@fimo.edu.vnDuc Chuc Manchucmd@fimo.edu.vnQuang Hung Buihungbq@vnu.edu.vnThi Nhat Thanh Nguyenthanhntn@vnu.edu.vn2017-12-12T07:48:19Z2017-12-12T07:48:19Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2768This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/27682017-12-12T07:48:19ZPaddy Rice Mapping in Red River Delta region Using Landsat 8 Images: Preliminary resultsDuc Chuc Manchucmd@fimo.edu.vnHoang Anh NguyenThanh Thuy Nguyennguyenthanhthuy@vnu.edu.vnQuang Hung Buihungbq@vnu.edu.vnThi Nhat Thanh Nguyenthanhntn@vnu.edu.vn2017-12-12T07:47:56Z2017-12-12T07:47:56Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2767This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/27672017-12-12T07:47:56ZSatellite Aerosol Optical Depth over Vietnam, an analysis from VIIRS and CALIOP aerosol products.Tuan Vinh Tranvinhtt@fimo.edu.vnVan Ha Phamhapv@fimo.edu.vnXuan Thanh PhamXuan Anh NguyenQuang Hung Buihungbq@vnu.edu.vnThanh Thuy Nguyennguyenthanhthuy@vnu.edu.vnThi Nhat Thanh Nguyenthanhntn@vnu.edu.vn2017-12-12T07:45:06Z2017-12-12T07:45:06Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2766This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/27662017-12-12T07:45:06ZSatellites may underestimate rice residue and associated burning emissions in VietnamIn this study, we estimate rice residue, associated burning emissions, and compare results with existing emissions inventories employing a bottom-up approach. We first estimated field-level post-harvest rice residues, including separate fuel-loading factors for rice straw and rice stubble. Results suggested fuel-loading factors of 0.27 kg m−2 (±0.033), 0.61 kg m−2 (±0.076), and 0.88 kg m−2 (±0.083) for rice straw, stubble, and total post-harvest biomass, respectively. Using these factors, we quantified potential emissions from rice residue burning and compared our estimates with other studies. Our results suggest total rice residue burning emissions as 2.24 Gg PM2.5, 36.54 Gg CO and 567.79 Gg CO2 for Hanoi Province, which are significantly higher than earlier studies. We attribute our higher emission estimates to improved fuel-loading factors; moreover, we infer that some earlier studies relying on residue-to-product ratios could be underestimating rice residue emissions by more than a factor of 2.3 for Hanoi, Vietnam. Using the rice planted area data from the Vietnamese government, and combining our fuel-loading factors, we also estimated rice residue PM2.5 emissions for the entirety of Vietnam and compared these estimates with an existing all-sources emissions inventory, and the Global Fire Emissions Database (GFED). Results suggest 75.98 Gg of PM2.5 released from rice residue burning accounting for 12.8% of total emissions for Vietnam. The GFED database suggests 42.56 Gg PM2.5 from biomass burning with 5.62 Gg attributed to agricultural waste burning indicating satellite-based methods may be significantly underestimating emissions. Our results not only provide improved residue and emission estimates, but also highlight the need for emissions mitigation from rice residue burning.Kristofer LaskoKrishna Prasad VadrevuTuan Vinh TranEvan EllicottThi Nhat Thanh Nguyenthanhntn@vnu.edu.vnQuang Hung Buihungbq@vnu.edu.vnChristopher Justice2017-12-12T07:44:09Z2017-12-12T07:44:09Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2765This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/27652017-12-12T07:44:09ZImprovement of land-cover classification over frequently cloud-covered areas using Landsat 8 time-series composites and an ensemble of supervised classifiersRecent abundance of moderate-to-high spatial resolution satellite imagery has facilitated land-cover map production. However, in cloud-prone areas, building high-resolution land-cover maps is still challenging due to infrequent satellite revisits and lack of cloud-free data. We propose a classification method for cloud-persistent areas with high temporal dynamics of land-cover types. First, compositing techniques are employed to create dense time-series composite images from all available Landsat 8 images. Then, spectral–temporal features are extracted to train an ensemble of five supervised classifiers. The resulting composite images are clear with at least 99.78% cloud-free pixels and are 20.47% better than their original images on average. We classify seven land classes, including paddy rice, cropland, grass/shrub, trees, bare land, impervious area, and waterbody over Hanoi, Vietnam, in 2016. Using a time series of composites significantly improves the classification performance with 10.03% higher overall accuracy (OA) compared to single composite classifications. Additionally, using time series of composites and the ensemble technique, which combines the best of five experimented classifiers (eXtreme Gradient Boosting, logistic regression, Support Vector Machine (SVM) with Radial Basis Function (RBF) kernel – SVM–RBF and Linear kernel – SVM–Linear, multilayer perceptron), performed best with 84% OA and 0.79 kappa coefficient.Duc Chuc Manchucmd@fimo.edu.vnThanh Thuy Nguyennguyenthanhthuy@vnu.edu.vnQuang Hung Buihungbq@fimo.edu.vnKristofer LaskoThi Nhat Thanh Nguyenthanhntn@vnu.edu.vn2017-07-24T04:00:09Z2017-07-24T04:00:09Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2561This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/25612017-07-24T04:00:09ZAnnual Scientific Report 2017 (ASR 2017)The VNU-UET Annual Scientific Report has been started from 2016.Xuan Tu Trantutx@vnu.edu.vnXuan Hieu Phanhieupx@vnu.edu.vnDuc Tan Trantantd@vnu.edu.vnManh Thang Phamthangpm@vnu.edu.vnDuc Thang Phampdthang@vnu.edu.vnBao Son Phamsonpb@vnu.edu.vn