Comparative Analysis of Big Data Acquisition Technology from Landsat 8 and Sentinel-2 Satellites

被引:1
|
作者
Veretekhina, Svetlana [1 ]
Sergey, Krapivka [1 ]
Pronkina, Tatiana [2 ]
Khalyukin, Vladimir [1 ]
Alla, Medvedeva [1 ]
Khudyakova, Elena [3 ]
Stepantsevich, Marina [3 ]
机构
[1] Russian State Social Univ, 4 Bldg 1,Wilhelm Pieck St, Moscow 129226, Russia
[2] Yugra State Univ, Inst Digital Econ, Khanty Mansiysk, Russia
[3] Russian State Agr Univ, Moscow Agr Acad, 49 Timiryazevskaya St, Moscow 127550, Russia
关键词
System analysis; Landsat-8 and Sentinel-2 satellites; International classification of BIG DATA processing levels; Portals for free spatial data acquisition;
D O I
10.1007/978-3-031-09073-8_5
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In a scientific study, the authors conduct an experiment to obtain spatial data from the Landsat-8 and Sentinel-2 satellites. An analytical review and a system analysis of the data is carried out. A step-by-step instruction of the BIG DTA collection technology has been developed and described. The review of ISO Geographic information standards is carried out. The technology of obtaining remote sensing data of the earth is described. An example of obtaining spatial images is given. An example of encoding a spatial image is given. Information about Landsat 8 OLU2TIRS C2L images (individual and unique image number, date of shooting, rows) is described. The table "International classification of BIG DATA processing levels" is presented. The technology of converting multi-time composites into digital form is described. The RGB channel is used for the conversion. The collection, systematization and processing of satellite big data is described. The characteristics are described - turnover, variety, accuracy. The main task of remote sensing data processing is determined. An example of processing photos or images with the necessary radio-metric and geometric characteristics is given. The technology of digital color representation is described. It is proved that artificial intelligence algorithms effectively work out the reverse reflected signal represented by a digit. Portals for obtaining spatial data for free are defined. The article describes the summation of information about the state of the natural environment, human economic activity in a remote area. The scope of application of the technology for obtaining BIG DATA from the Landsat-8 and Sentinel-2 satellites is determined. To develop a technology for monitoring terrestrial objects based on ultra-highresolution satellite images, the authors of the scientific experiment carried out scientific research. In conclusion, the authors express their gratitude to domestic and foreign scientists, including the Russian State Social University, Moscow.
引用
收藏
页码:41 / 53
页数:13
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