scholarly journals STATE AND PROSPECTS OF DEVELOPMENT OF THE MARKET OF SERVICES FOR COLLECTING AND PROCESSING SATELLITE DATA OF REMOTE SENSING OF THE EARTH

2021 ◽  
pp. 85-91
Author(s):  
A.P. Bukharitsin
Keyword(s):  
Remote Sensing ◽  
Satellite Data ◽  
The Earth

Software system for satellite data processing of applied tasks in remote sensing of the Earth

2009 ◽  
Vol 19 (3) ◽  
pp. 372-379 ◽  
Author(s):  
V. V. Asmus ◽  
A. A. Buchnev ◽  
V. P. Pyatkin ◽  
G. I. Salov
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Satellite Data ◽  
Software System ◽  
The Earth

scholarly journals The Technology to Identify Firebreak Plowing Objects Based on the Satellite Data of the Earth Remote Sensing

2019 ◽  
Vol 75 ◽  
pp. 01006
Author(s):  
Evgenii A. Maltsev ◽  
Yuri A. Maglinets ◽  
Gennady M. Tsibulskii
Keyword(s):  
Remote Sensing ◽  
Spatial Resolution ◽  
Satellite Data ◽  
High Spatial Resolution ◽  
Spatial Relations ◽  
Earth Remote Sensing ◽  
The Earth ◽  
Vegetation Indexes

This work describes the technology to identify firebreak plowing objects of agriculture fields based on the satellite data of the Earth Remote Sensing within the medium and high spatial resolution. The technology uses a model of the firebreak plowing object, vegetation indexes and spatial relations between objects.

scholarly journals UTILIZATION OF SAR AND EARTH GRAVITY DATA FOR SUB BITUMINOUS COAL DETECTION

2017 ◽  
Vol 11 (2) ◽  
pp. 143
Author(s):  
Atriyon Julzarika ◽  
Kuncoro Teguh Setiawan
Keyword(s):  
Remote Sensing ◽  
Satellite Data ◽  
Bituminous Coal ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Earth Gravity ◽  
The Earth ◽  
Lignite Coal ◽  
Sar Data ◽  
Height Model

Remote sensing data can be used for geological and mining applications, such as coal detection. Coal consists of five classes of Anthracite, Bituminous, Sub-Bituminous, Lignite coal and Peat coal. In this study, the type of coal that is discussed is Sub bituminous, Lignite coal, and peat coal. This study aims to detect potential sub bituminous using Synthetic Aperture Radar (SAR) data, and earth gravity. One type of remote sensing data to detect potential sub bituminous, lignite coal and peat coal are SAR data and satellite data Geodesy. SAR data used in this study is ALOS PALSAR. SAR data is used to predict the boundary between Lignite coal with Peat coal. The method used is backscattering. In addition to the SAR data is also used to make height model. The method used is interferometry. Geodetic satellite data is used to extract the value of the earth gravity and geodynamics. The method used is physical geodesy. Potential sub-bituminous coal can be known after the correlation between the predicted limits lignite coal-peat coal by the earth gravity, geodynamics, and height model. Volume predictions of potential sub bituminous can be known by calculating the volume using height model and transverse profile test. The results of this study useful for preliminary survey of geological in mining exploration activities.

Forecast of manifestations of dangerous geological processes in Dnipropetrovsk with the use of methods of aerospace remote sensing of the Earth

2004 ◽  
Vol 10 (5-6) ◽  
pp. 194-196
Author(s):  
V.I. Voloshin ◽  
◽  
A.S. Levenko ◽  
N.N. Peremetchik ◽  
◽  
...  
Keyword(s):  
Remote Sensing ◽  
Geological Processes ◽  
The Earth

Algorithm for planning of realization of thematic programs of the Earth remote sensing

2007 ◽  
Vol 13 (2) ◽  
pp. 39-42
Author(s):  
A.I. Kirillov ◽  
◽  
Ye.I. Kapustin ◽  
N.A. Kirillova ◽  
E.I. Makhonin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Earth Remote Sensing ◽  
The Earth

Distributed access and search for the satellite data of remote sensing

2007 ◽  
Vol 13 (1s) ◽  
pp. 80-85
Author(s):  
E.B. Kudashev ◽  
◽  
A.N. Filonov ◽  
Keyword(s):  
Remote Sensing ◽  
Satellite Data

Basis for the technique of the external control of the optical equipment for the remote sensing of the Earth surface

1997 ◽  
Vol 3 (3-4) ◽  
pp. 50-53
Author(s):  
O.D. Fedorovskyi ◽  
◽  
V.I. Kononov ◽  
K.Yu. Sukhanov ◽  
◽  
...  
Keyword(s):  
Remote Sensing ◽  
External Control ◽  
Earth Surface ◽  
The Earth
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