Multichannel aerospace multispectral and hyperspectral imagery registration system designed for remote sensing and investigation of the earth surface, ocean, and atmosphere

1997 ◽  
Author(s):  
Alexandre I. Baklanov ◽  
Grigory I. Vishnevsky ◽  
Anatoli V. El'tsov ◽  
Vjacheslav V. Kolotkov ◽  
Timofei V. Kondranin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Imagery ◽  
Earth Surface ◽  
Registration System ◽  
Surface Ocean ◽  
The Earth

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

scholarly journals Assessment of the open-mining prevalence on the territory of Moscow region

2020 ◽  
Vol 28 (4) ◽  
pp. 349-360
Author(s):  
Ksenia O. Naumova ◽  
Elena V. Stanis
Keyword(s):  
Remote Sensing ◽  
Physicochemical Properties ◽  
Satellite Images ◽  
Mineral Resources ◽  
Moscow Region ◽  
Topographic Maps ◽  
Earth Surface ◽  
Construction Sites ◽  
Land Disturbance ◽  
The Earth

Lands disturbed by open cuts and associated dumps often become unsuitable for further use as construction sites. Disturbed lands are technogenically altered soils with new changed physicomechanical and physicochemical properties. The paper examines the results of researching the disturbed lands of common mineral resources open cuts in Moscow region, provides a description of the causes and types of land disturbance, as well as examples of images of disturbed lands on satellite images. For this purposes, thematic and topographic maps and remote sensing materials - satellite images of the territory of the Moscow region were used. The problems of impact of common mineral resources extraction on the natural complexes in the region, the scale of technogenic transformation of the earth surface as a result of open cuts mining as well as the geoecological problems arising in this case are considered. Numerical geoecological assessment of sand quarries in Moscow region is also given.

scholarly journals KNOWLEDGE BASED CLASSIFIER BASED ON BACKSCATTERING COEFFICIENT FOR MONITORING THE CROP GROWTH ANALYSIS USING MULTI-TEMPORAL IMAGES OF SPACE-BORNE SYNTHETIC APERTURE RADAR (SAR) SENSORS

2019 ◽  
Vol XLII-3/W6 ◽  
pp. 643-647
Author(s):  
A. K. Verma ◽  
R. Nandan ◽  
A. Verma
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Crop Growth ◽  
Microwave Spectrum ◽  
Rice Crop ◽  
Synthetic Aperture ◽  
Earth Surface ◽  
Knowledge Based ◽  
The Earth ◽  
Multi Temporal

<p><strong>Abstract.</strong> Space-based observation of crops and agro-system on the Earth surface is one of the most important applications of remote sensing using the sensors in optical and microwave spectrum to assess the crop growth for decision making for developing crop information and management system. Remote sensing technology provides scalable and reliable information in respect of rice crop grown area, its crop growth and prediction of crop yield due to acquisition of satellite imagery during the revisit of the orbit by space-borne sensors in optical and microwave spectrum. Synthetic Aperture Radar has the advantages of all-weather, day and night imaging, canopy penetration, and high-resolution capabilities, which makes Space-borne SAR sensors as an effective system for monitoring crop growth, crop classification and mapping of crop area based on the crop canopy interaction of SAR signals due to backscattering coefficients of the earth surface. SAR data from ERS-1/2 SAR, ENVISAT ASAR, ALOS-1/2 PALSAR, Radarsat-1/2 SAR, TerraSAR, COSMO-SkyMed, and Sentinel-1 have been used by various researchers for identification and analysis of rice crop growth based on the backscattering values in different regions of Asia and European region, where backscattered image depends of various earth surface and SAR sensors parameters. In this paper, knowledge based classifier using SAR images of existing space-borne-SAR sensors have been developed based on modeling of SAR backscattering coefficients in C-band and X-band for monitoring the rice crop growth and its analysis using multi-temporal and multi-frequency- SAR sensors data.</p>

Small spacecraft-based space system for real-time Earth surface monitoring

2021 ◽  
pp. 42-55
Author(s):  
Aleksandr P. DANYLKIN ◽  
Vladimir N. VORONKOV ◽  
Oleg Yu. KAZANTSEV ◽  
Vyacheslav A. KETOV ◽  
Yury N. KOPTEV ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Real Time ◽  
Earth Surface ◽  
Space System ◽  
Earth Remote Sensing ◽  
Design Studies ◽  
Small Spacecraft ◽  
Ground Station ◽  
Current State ◽  
The Earth

The paper presents basic results of exploratory design studies into a space system for real-time monitoring of the Earth surface based on small spacecraft* for Earth remote sensing, which provides acquisition in real time of highly detailed Earth surface images with resolution of 0.7–1.0 m, a swath of 20 km and 15m in-plane georeferencing accuracy from a ~300 km orbit with a mass of spacecraft ~200 kgf repeating with high frequency (at least every 1.0–1.5h). The said parameters are in line with the current state of the art and are quite feasible for our country’s industry. _________________________________________ * — for the purposes of this paper ‘small spacecraft’ is a 150-220 kg spacecraft. Key words: small spacecraft, space system, Earth remote sensing, satellite bus, payload module, electro-optical equipment, multipurpose ground facility, combined ground station, services of space monitoring of the Earth surface.

Remote Sensing

2004 ◽  
Author(s):  
Dale A. Quattrochi ◽  
Stephen J. Walsh
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Three Dimensions ◽  
Primary Data ◽  
Earth Surface ◽  
Working Definition ◽  
Art And Technology ◽  
The Earth ◽  
American Society ◽  
Patterns And Processes

As noted in the first edition of Geography in America, the term “remote sensing” was coined in the early 1960s by geographers to describe the process of obtaining data by use of both photographic and nonphotographic instruments (Gaile and Wilmot 1989: 46). Although this is still a working definition today, a more explicit and updated definition as it relates to geography can be phrased as: “remote sensing is the science, art, and technology of identifying, characterizing, measuring, and mapping of Earth surface, and near Earth surface phenomena from some position above using photographic or nonphotographic instruments.” Both patterns and processes may be the object of investigation using remote sensing data. The science dimension of geographic remote sensing is rooted in the fact that: (1) it is dealing with primary data, wherein the investigator must have an understanding of the environmental phenomena under scrutiny, and (2) the investigator must understand something of the physics of the energy involved in the sensing instrument and the atmospheric pathway through which the energy passes from the energy source, to the Earth object, to the sensor. The art dimension of geographic remote sensing has to do with the creative ways that the scientific interpretations are presented for visualization and measurement. The technological dimension of geographic remote sensing has to do with the constantly evolving hardware, software, and algorithmic manipulation and modeling involved in the collection, processing, and interpreting of data regarding the Earth phenomena under investigation. It is the rapidly advancing combination of these three dimensions over recent decades that has brought remote sensing to be a vibrant and dynamic part of the discipline of geography today. We wish not to dwell at length on the historical aspects of remote sensing as it relates to geography. This has been done quite adequately in the first edition of Geography in America as well as in other publications, such as the American Society of Photogrammetry and Remote Sensing (ASPRS) Manual of Remote Sensing series (e.g. Colwell 1983), that is now going through a third edition and complete update, and is being presented as a compendium of individual volumes that deal with specific aspects of remote sensing science.

scholarly journals Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review

2018 ◽  
Vol 10 (12) ◽  
pp. 2038 ◽  
Author(s):  
Gianpaolo Balsamo ◽  
Anna Agusti-Panareda ◽  
Clement Albergel ◽  
Gabriele Arduini ◽  
Anton Beljaars ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Remote Sensing Data ◽  
Data Availability ◽  
Spatial And Temporal Variability ◽  
Earth Surface ◽  
Surface Modelling ◽  
The Earth ◽  
In Situ Observations

In this paper, we review the use of satellite-based remote sensing in combination with in situ data to inform Earth surface modelling. This involves verification and optimization methods that can handle both random and systematic errors and result in effective model improvement for both surface monitoring and prediction applications. The reasons for diverse remote sensing data and products include (i) their complementary areal and temporal coverage, (ii) their diverse and covariant information content, and (iii) their ability to complement in situ observations, which are often sparse and only locally representative. To improve our understanding of the complex behavior of the Earth system at the surface and sub-surface, we need large volumes of data from high-resolution modelling and remote sensing, since the Earth surface exhibits a high degree of heterogeneity and discontinuities in space and time. The spatial and temporal variability of the biosphere, hydrosphere, cryosphere and anthroposphere calls for an increased use of Earth observation (EO) data attaining volumes previously considered prohibitive. We review data availability and discuss recent examples where satellite remote sensing is used to infer observable surface quantities directly or indirectly, with particular emphasis on key parameters necessary for weather and climate prediction. Coordinated high-resolution remote-sensing and modelling/assimilation capabilities for the Earth surface are required to support an international application-focused effort.

SMALL SPACECRAFT-BASED SPACE SYSTEM FOR REAL-TIME EARTH SURFACE MONITORING

2021 ◽  
pp. 42-55
Author(s):  
Aleksandr P. DANYLKIN ◽  
Vladimir N. VORONKOV ◽  
Oleg Yu. KAZANTSEV ◽  
Vyacheslav A. KETOV ◽  
Yury N. KOPTEV ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Real Time ◽  
Earth Surface ◽  
Space System ◽  
Earth Remote Sensing ◽  
Design Studies ◽  
Small Spacecraft ◽  
Ground Station ◽  
Current State ◽  
The Earth

The paper presents basic results of exploratory design studies into a space system for real-time monitoring of the Earth surface based on small spacecraft* for Earth remote sensing, which provides acquisition in real time of highly detailed Earth surface images with resolution of 0.7–1.0 m, a swath of 20 km and 15m in-plane georeferencing accuracy from a ~300 km orbit with a mass of spacecraft ~200 kgf repeating with high frequency (at least every 1.0–1.5h). The said parameters are in line with the current state of the art and are quite feasible for our country’s industry. _________________________________________ * — for the purposes of this paper ‘small spacecraft’ is a 150-220 kg spacecraft. Key words: small spacecraft, space system, Earth remote sensing, satellite bus, payload module, electro-optical equipment, multipurpose ground facility, combined ground station, services of space monitoring of the Earth surface.

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