Approbation of the algorithm for atmospheric correction of satellite images of the Earth surface with allowance for radiation polarization on the examples of MODIS images

2019 ◽  
Author(s):  
M.V. Tarasenkov ◽  
A.V. Zimovaya ◽  
V.V. Belov ◽  
M.V. Engel
Keyword(s):  
Satellite Images ◽  
Atmospheric Correction ◽  
Earth Surface ◽  
Radiation Polarization ◽  
The Earth

scholarly journals A tool for analysis of the influence of the Earth surface soil layer temperature on the inhomogeneity of grain crops development by the Earth remote sensing data

2021 ◽  
Author(s):  
R.V. Brezhnev ◽  
Yu.A. Maglinets ◽  
K.V. Raevich ◽  
V.G. Margaryan
Keyword(s):  
Surface Temperature ◽  
Atmospheric Correction ◽  
Sensor Data ◽  
Relational Model ◽  
Landsat 8 ◽  
Earth Surface ◽  
Agricultural Crops ◽  
Landsat 8 Oli ◽  
The Earth ◽  
Vegetation Heterogeneity

The work is devoted to the analysis of the influence of the earth surface temperature on the inhomogeneity of the agricultural crops development. The aim of the work is to expand the object-relational model for describing the inhomogeneous spatial structure of a spatial object by including surface temperature as one of the key features that allow determining the cause of vegetation heterogeneity, along with relief features, differences in the soil chemical composition and other significant characteristics. Experimental studies are carried out at sites located in Sukhobuzimsky district of Krasnoyarsk Territory, for which agricultural crops (grains) and the their sowing dates are known a priori, which allows stating any facts of the vegetation development deviation from the normative trajectory with reference to the sequence and timing norms of phenological phase changing. Landsat-8 OLI (Operational Land Imager) TIRS (Thermal Infrared Sensor) data are used as initial data for temperature measurements. Objects of research are presented in the form of a polygon map in SHP format. The temperature values are calculated using the algorithm for estimating the earth temperature developed by Weng Q., Lu D. and Schubring J. The surface reflectance values are the NDVI vegetation index values also obtained from the Landsat-8 OLI data that underwent atmospheric correction by the DOS method. The research results are implemented in the form of a software module and integrated into the Earth remote monitoring (ERM) system of SFU Space and Information Technologies Institute (SITI). The results are used within the concept of object-oriented monitoring of spatial objects developed by the team of authors, and represent index images of the surface temperature of objects, as well as vector schematic maps.

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.

An Improved RF-PNN Based Annotation Model With Texture and Edge Based Feature Descriptors

2021 ◽  
Author(s):  
Joshua Bapu J ◽  
Jemi Florinabel D
Keyword(s):  
Neural Network ◽  
Land Use ◽  
Satellite Images ◽  
Earth Surface ◽  
Informative Feature ◽  
Feature Descriptors ◽  
The Earth ◽  
Benchmark Datasets ◽  
Comparative Results ◽  
Edge Based

Abstract High informative feature descriptors always improves the classification process. In order to classify the earth surface, it is essential to annotate satellite images using itshigh informative feature descriptors. In this proposed work, an annotation framework has been implemented to improve the image discrimination by extracting texture and edge based feature vectors. So the combination of these features subsequently fed into the Random Forest based Probability Neural Network (RF-PNN) classifier to make an annotation model. The experimental analysis with comparisons shows that the proposed annotation model well performed with earlier works and comparative results of benchmark datasets of AID dataset, UC-Merced Land-Use dataset and WHU-RS19 datasets have been documented with analysis.

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

ESTIMATION OF THE EARTH SURFACE TEMPERATURE BY HIMAWARI-8/AHI

2016 ◽  
Vol 72 (2) ◽  
pp. II_1-II_6 ◽  
Author(s):  
Yuuki UCHIDA ◽  
Tomohito ASAKA ◽  
Takashi NONAKA ◽  
Keishi IWASHITA ◽  
Toshiro SUGIMURA
Keyword(s):  
Surface Temperature ◽  
Earth Surface ◽  
The Earth
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