scispace - formally typeset
Search or ask a question
Institution

Geophysical Survey

FacilityObninsk, Russia
About: Geophysical Survey is a facility organization based out in Obninsk, Russia. It is known for research contribution in the topics: Geology & Seismology. The organization has 308 authors who have published 256 publications receiving 3067 citations. The organization is also known as: Federal State Institution of Science Geophysical Survey of the Siberian Branch of the Russian Academy of Sciences.


Papers
More filters
Proceedings ArticleDOI
15 Mar 2006
TL;DR: Wang et al. as discussed by the authors used multispectral data of tsunami area in Sumatran island and Namucuo area in Tibet to extract information of Quaternary geology, environment, disaster, and desertification.
Abstract: This paper focuses on remote sensing information extraction in geological environment survey and disaster evaluation. DMC satellite multispectral data of tsunami area in Sumatran island and Namucuo area in Tibet is selected as the data source. After data processing and synthesis analysis such as fine geometric correction, image radiation analysis, information enhancement, information extraction, geological interpretation etc., and with the support of the known remote sensing and geological data, the information of Quaternary geology, environment, disaster, desertification in Namucuo Lake and surrounding area is extracted. With regard to tsunami area in Sumatran island, obvious linear and ringed textures in the image are extracted, mapped and analyzed from chromatic aberration of vegetation and texture information, and its geological meaning is interpreted. Northwest fault is the main fault, the smaller one is the northeast fault which is perpendicular to the main fault. Based on that, we have initially analyzed the fracture distribution characters that probably control or induce geologic disasters of the region, and we have also predicted three regions where geological disasters such as debris flow, landslip, landslide etc easily take place and two probable regions where volcanic activities happen. Using DMC satellite data of Namucuo Lake and its surrounding area in Tibet we can recognize lots of information such as lake-face stratum of the Quaternary, bare bedrock, linear feature, two-level and three-level water system, glacier distribution. Through the comparison and analysis of two-period image, we have found four debris flow areas caused by snow melting in the surrounding region of Bingna, Bencuoduo, and Qinglongxiang. In the aspect of land desertification, through image classification, we can extract remote sensing information such as bare ground with grit, meadow, wetland, desertification land (severe, moderate and slight) and alkaline land (moderate and slight) etc. in Namucuo Lake region and its surrounding region. Geological disaster evaluation using DMC satellite data indicates that it not only have huge application potential for disaster monitoring, but also have important application value for geologic environment monitoring.
01 Jan 2017
TL;DR: This study mainly investigates the inversion accuracies of Cu element in vegetation-covered soil by different vegetation indices according to specific spectral resolutions of ASD (Analytical Spectral Device) and Hyperion data.
Abstract: Remote sensing inversion of heavy metal in vegetation leaves is generally based on the physiological characteristics of vegetation spectrum under heavy metal stress, and empirical models with vegetation indices are established to inverse the heavy metal content of vegetation leaves. However, the research of inversion of heavy metal content in vegetation-covered soil is still rare. In this study, Pulang is chosen as study area. The regression model of a typical heavy metal element, copper (Cu), is established with vegetation indices. We mainly investigate the inversion accuracies of Cu element in vegetation-covered soil by different vegetation indices according to specific spectral resolutions of ASD (Analytical Spectral Device) and Hyperion data. The inversion results of soil copper content in the vegetation-covered area shows a good accuracy, and the vegetation indices under ASD spectral resolution correspond to better results.
Proceedings ArticleDOI
01 Sep 2020
TL;DR: The basic principle, key technology and operation process of oblique photography, and comparative analysis on the layout scheme and accuracy of image control points used in real estate integration right registration are described.
Abstract: At present, the project of rural real estate integration right registration is being launched in many provinces and cities in China. There are three main surveying and mapping methods of real estate integration right registration: full field survey, traditional photogrammetry and Oblique Photography. This paper compared the advantages and disadvantages of the three methods, described the basic principle, key technology and operation process of oblique photography, made comparative analysis on the layout scheme and accuracy of image control points used in real estate integrattion right registration, and put forward an operation scheme which can not only meet the accuracy requirements of surveying and mapping, but also take the efficiency and costs into account.
01 Jan 2017
TL;DR: Wang et al. as mentioned in this paper compared four different water extraction methods with GF-1 data according to different water types in Tibet, including Support Vector Machine (SVM), Principal Component Analysis (PCA), Decision Tree Classifier based on False Normalized Difference Water Index (FNDWI-DTC), and PCA-SVM.
Abstract: In this study, we compared four different water extraction methods with GF-1 data according to different water types in Tibet, including Support Vector Machine (SVM), Principal Component Analysis (PCA), Decision Tree Classifier based on False Normalized Difference Water Index (FNDWI-DTC), and PCA-SVM. The results show that all of the four methods can extract large area water body, but only SVM and PCA-SVM can obtain satisfying extraction results for small size water body. The methods were evaluated by both overall accuracy (OAA) and Kappa coefficient (KC). The OAA of PCA-SVM, SVM, FNDWI-DTC, PCA are 96.68%, 94.23%, 93.99%, 93.01%, and the KCs are 0.9308, 0.8995, 0.8962, 0.8842, respectively, in consistent with visual inspection. In summary, SVM is better for narrow rivers extraction and PCA-SVM is suitable for water extraction of various types. As for dark blue lakes, the methods using PCA can extract more quickly and accurately.

Authors

Showing all 331 results

Network Information
Related Institutions (5)
China University of Geosciences (Wuhan)
27.1K papers, 417.2K citations

73% related

China University of Geosciences (Beijing)
17.1K papers, 314K citations

68% related

Nanjing University of Information Science and Technology
17.9K papers, 267.5K citations

66% related

Hefei University of Technology
24.9K papers, 324.9K citations

66% related

Lamont–Doherty Earth Observatory
8K papers, 504.5K citations

65% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
202220
202119
20209
201916
201810