scholarly journals AN ANALYSIS OF REMOTE SENSING SENSOR ISSUES AND SENSOR CROSS CALIBRATION

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Sheron Henry Christy
Keyword(s):  
Remote Sensing ◽  
Natural Resources ◽  
Disaster Management ◽  
Satellite Images ◽  
Good Alternative ◽  
Point Of View ◽  
Sensor Calibration ◽  
Alternative Technology ◽  
Irs P6 ◽  
Cross Calibration

Remote sensing is a very good alternative technology for managing natural resources as compared to conventional technologies. This paper highlights the various challenges in UAS sensors. Comparison of IRS-P6 and Land Sat sensors is described from accuracy point of view by covering same areas by both the sensors which gives the performance features of both the sensors. Inter sensor calibration is depicted to realize its importance in applications like precision farming, disaster management, etc. requiring multiple dated satellite images.

scholarly journals REMOTE SENSING DATA FOR MAPPING THE VILLAGE HAZARD OF THE BAMA MILL SITE

2020 ◽  
Vol 1 (2) ◽  
pp. 28-40
Author(s):  
Vladimir P. Stupin
Keyword(s):  
Remote Sensing ◽  
Debris Flow ◽  
Satellite Images ◽  
Remote Sensing Data ◽  
Point Of View ◽  
Digital Elevation ◽  
Age Limits ◽  
The Village ◽  
Debris Flow Hazard ◽  
Mountain Country

The analysis of open access remote sensing materials (satellite images and digital elevation models) from the point of view of their use for the study and mapping of the debris flow hazard of the Baikal mountain country is carried out. Descriptive signs of mudflow phenomena are described, the age limits of their interpretation are substantiated. Maps of debris flow hazard of various territories of the studied region are given.

scholarly journals Utilização de Geotecnologias: Diagnóstico Ambiental do Estuário do Rio Acaraú, Ceará, Como Estudo de Caso

2007 ◽  
Vol 34 (2) ◽  
pp. 33
Author(s):  
MARIA VALDIRENE ARAÚJO ◽  
GEORGE SATANDER SÁ FREIRE
Keyword(s):  
Remote Sensing ◽  
Natural Resources ◽  
Environmental Analysis ◽  
Environmental Conditions ◽  
Satellite Images ◽  
Digital Processing ◽  
Geographical Information ◽  
Good Resolution ◽  
The West ◽  
Resident Population

The Acaraú basin is located to the west of Fortaleza, capital from Ceará state and, it covers an area of 14.500Km² being considered the second largest basin in this state. The study area, which covers 80Km², is in the estuary of the Acaraú river, embracing the munipality of Acaraú and Cruz in the west. The research intended to analyze the geo-environmental conditions, to analyze the use process and occupation and the environmental impacts, as well as to characterize the resident population in the area and to conserve the natural resources in order to guarantee their use by the next generations. The used methodology included pertinent bibliography, pictures and satellite images with good resolution as the images of Quickbird. The geoprocessing activities involved images digital processing of remote sensing and the integration of data in structure of SIG (System of Geographical Information). The obtained results consisted in the integrated environmental analysis generating a proposal of environmental zoning.

Possibilities of Hydrophobization of Thermo-Insulating Materials Based on Natural Resources

2014 ◽  
Vol 897 ◽  
pp. 153-156
Author(s):  
Jiri Zach ◽  
Jitka Peterková ◽  
Nikol Žižková
Keyword(s):  
Natural Resources ◽  
Building Materials ◽  
Natural Fibers ◽  
High Sensitivity ◽  
Good Alternative ◽  
Mineral Wool ◽  
Point Of View ◽  
Renewable Materials ◽  
Insulation Materials ◽  
Negative Environmental Impact

Current times emphasize utilization of new and promising building materials with no negative environmental impact, for reasonable price and with excellent end-use properties. Insulation materials based on natural fibers represent a good alternative for current standardly used insulation materials like foamed plastic materials and mineral wool. Input materials for such industrial insulation materials are particularly crude oil and non-renewable natural resources (moreover, manufacture of these insulation materials consumes high amount of energy). From this point of view, natural insulation materials are more advantageous, because their manufacture uses easily renewable materials resources, like fibers from agriculture (flax, technical hemp). However, these materials have two disadvantages higher sensitivity to humidity (higher water absorbing capacity and hygroscopic nature) and worse reaction to fire. The paper deals with selection of appropriate hydrophobic agent preventing high sensitivity to humidity of developed natural materials and monitoring of moisture content after application of hydrophobized materials within the frame of the ETICS system.

scholarly journals ASSESSMENT OF THE ANTHROPOGENIC LOAD OF URBANIZED AREAS BASED ON EARTH REMOTE SENSING DATA

2021 ◽  
Vol 2 (6) ◽  
pp. 53-58
Author(s):  
S.A. Yeprintsev ◽  
◽  
, S.A. Kurolap ◽  
O.V. Klepikov ◽  
, S.V. Shekoyan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Images ◽  
Negative Impact ◽  
Remote Sensing Data ◽  
Good Alternative ◽  
Quality Parameters ◽  
Anthropogenic Load ◽  
Landsat 8 ◽  
Central Russia ◽  
Landsat 7

The high anthropogenic load characteristic of urban settlements entails the need for constant monitoring of factors that can potentially have a negative impact on the quality of the environment and the health of the population. Ground-based research methods used for spatial zoning of urbanized territories according to the level of anthropogenic load entail significant time costs, which, despite the high accuracy, significantly reduces their effectiveness. Remote sensing technologies have become a good alternative to ground-based methods. To assess the anthropogenic load of the cities of Central Russia (Voronezh, Lipetsk, Belgorod), an archive of multi-channel satellite images obtained from Landsat-7 and Landsat-8 satellites has been created. The satellite images are grouped into three periods (2001, 2016 and 2020). The processing of satellite images of the studied cities of Central Russia, as well as suburban areas, was carried out in the Scanex Image Processor software package. Spatial assessment of the ratio of the areas of anthropogenic-altered territories and the natural framework was made by determining the value of NDVI within cities and suburban ten-kilometer zones. For the analysis of satellite images of the above-mentioned time periods, equal areas of territories were allocated, where the NDVI indicators of the studied urbanized territories of the cities of Voronezh, Lipetsk, Belgorod, as well as suburban tenkilometer zones with subsequent spatial geoinformation zoning of territories according to this indicator were calculated. The obtained results made it possible to study a number of environmental quality parameters (the level of anthropogenic load, the natural framework of the territory, hydrological objects), as well as their dynamics over a twenty-year period.

The machine training in problems of satellite images’s processing

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Computer Vision ◽  
Satellite Images ◽  
Vision Systems ◽  
Earth Remote Sensing ◽  
Practical Applications ◽  
Convolution Neural Networks ◽  
Computer Vision Systems ◽  
Trained Neural Network

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.

Application of Remote Sensing in Agriculture

2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Jan Piekarczyk
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Crop Production ◽  
Satellite Images ◽  
Crop Yields ◽  
Spatial Scales ◽  
Strong Relationship ◽  
Physical Parameters ◽  
Agricultural Crop ◽  
Remote Sensing Methods

AbstractWith increasing intensity of agricultural crop production increases the need to obtain information about environmental conditions in which this production takes place. Remote sensing methods, including satellite images, airborne photographs and ground-based spectral measurements can greatly simplify the monitoring of crop development and decision-making to optimize inputs on agricultural production and reduce its harmful effects on the environment. One of the earliest uses of remote sensing in agriculture is crop identification and their acreage estimation. Satellite data acquired for this purpose are necessary to ensure food security and the proper functioning of agricultural markets at national and global scales. Due to strong relationship between plant bio-physical parameters and the amount of electromagnetic radiation reflected (in certain ranges of the spectrum) from plants and then registered by sensors it is possible to predict crop yields. Other applications of remote sensing are intensively developed in the framework of so-called precision agriculture, in small spatial scales including individual fields. Data from ground-based measurements as well as from airborne or satellite images are used to develop yield and soil maps which can be used to determine the doses of irrigation and fertilization and to take decisions on the use of pesticides.

TEMPERATURA DE SUPERFÍCIE E A RELAÇÃO COM O ÍNDICE DE VEGETAÇÃO POR DIFERENÇA NORMALIZADA (NDVI) NA MICROBACIA DO RIO DA BATATEIRAS, CRATO-CE

2019 ◽  
Vol 21 (2) ◽  
pp. 1310-1320
Author(s):  
Cícera Celiane Januário da Silva ◽  
Vinicius Ferreira Luna ◽  
Joyce Ferreira Gomes ◽  
Juliana Maria Oliveira Silva
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Temperature Measurement ◽  
Rainy Season ◽  
Satellite Images ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat 8 ◽  
Low Density ◽  
Difference Map

O objetivo do presente trabalho é fazer uma comparação entre a temperatura de superfície e o Índice de Vegetação por Diferença Normalizada (NDVI) na microbacia do rio da Batateiras/Crato-CE em dois períodos do ano de 2017, um chuvoso (abril) e um seco (setembro) como também analisar o mapa de diferença de temperatura nesses dois referidos períodos. Foram utilizadas imagens de satélite LANDSAT 8 (banda 10) para mensuração de temperatura e a banda 4 e 5 para geração do NDVI. As análises demonstram que no mês de abril a temperatura da superfície variou aproximadamente entre 23.2ºC e 31.06ºC, enquanto no mês correspondente a setembro, os valores variaram de 25°C e 40.5°C, sendo que as maiores temperaturas foram encontradas em locais com baixa densidade de vegetação, de acordo com a carta de NDVI desses dois meses. A maior diferença de temperatura desses dois meses foi de 14.2°C indicando que ocorre um aumento da temperatura proporcionado pelo período que corresponde a um dos mais secos da região, diferentemente de abril que está no período de chuvas e tem uma maior umidade, presença de vegetação e corpos d’água que amenizam a temperatura.Palavras-chave: Sensoriamento Remoto; Vegetação; Microbacia.                                                                                  ABSTRACTThe objective of the present work is to compare the surface temperature and the Normalized Difference Vegetation Index (NDVI) in the Batateiras / Crato-CE river basin in two periods of 2017, one rainy (April) and one (September) and to analyze the temperature difference map in these two periods. LANDSAT 8 (band 10) satellite images were used for temperature measurement and band 4 and 5 for NDVI generation. The analyzes show that in April the surface temperature varied approximately between 23.2ºC and 31.06ºC, while in the month corresponding to September, the values ranged from 25ºC and 40.5ºC, and the highest temperatures were found in locations with low density of vegetation, according to the NDVI letter of these two months. The highest difference in temperature for these two months was 14.2 ° C, indicating that there is an increase in temperature provided by the period that corresponds to one of the driest in the region, unlike April that is in the rainy season and has a higher humidity, presence of vegetation and water bodies that soften the temperature.Key-words: Remote sensing; Vegetation; Microbasin.RESUMENEl objetivo del presente trabajo es hacer una comparación entre la temperatura de la superficie y el Índice de Vegetación de Diferencia Normalizada (NDVI) en la cuenca Batateiras / Crato-CE en dos períodos de 2017, uno lluvioso (abril) y uno (Septiembre), así como analizar el mapa de diferencia de temperatura en estos dos períodos. Las imágenes de satélite LANDSAT 8 (banda 10) se utilizaron para la medición de temperatura y las bandas 4 y 5 para la generación de NDVI. Los análisis muestran que en abril la temperatura de la superficie varió aproximadamente entre 23.2ºC y 31.06ºC, mientras que en el mes correspondiente a septiembre, los valores oscilaron entre 25 ° C y 40.5 ° C, y las temperaturas más altas se encontraron en lugares con baja densidad de vegetación, según el gráfico NDVI de estos dos meses. La mayor diferencia de temperatura de estos dos meses fue de 14.2 ° C, lo que indica que hay un aumento en la temperatura proporcionada por el período que corresponde a uno de los más secos de la región, a diferencia de abril que está en la temporada de lluvias y tiene una mayor humedad, presencia de vegetación y cuerpos de agua que suavizan la temperatura.Palabras clave: Detección remota; vegetación; Cuenca.

On the displacements of the contours of the optic-electronic space images. Mathematical modeling of displacement

2017 ◽  
Vol 992 (4) ◽  
pp. 32-38 ◽  
Author(s):  
E.G. Voronin
Keyword(s):  
Mathematical Modeling ◽  
Remote Sensing ◽  
Mathematical Model ◽  
Point Of View ◽  
Design Features ◽  
Space Images ◽  
Electronic Imaging ◽  
Measuring Accuracy ◽  
Physical Laws

The article opens a cycle of three consecutive publications dedicated to the phenomenon of the displacement of the same points in overlapping scans obtained adjacent CCD matrices with opto-electronic imagery. This phenomenon was noticed by other authors, but the proposed explanation for the origin of displacements and the resulting estimates are insufficient, and developed their solutions seem controversial from the point of view of recovery of the measuring accuracy of opticalelectronic space images, determined by the physical laws of their formation. In the first article the mathematical modeling of the expected displacements based on the design features of a scanning opto-electronic imaging equipment. It is shown that actual bias cannot be forecast, because they include additional terms, which may be gross, systematic and random values. The proposed algorithm for computing the most probable values of the additional displacement and ways to address some of the systematic components of these displacements in a mathematical model of optical-electronic remote sensing.

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