Crop Classification in Karshi Steppe Using Remote Sensing Information and Google Earth Engine Tool

Gafurov, Zafar; Eltazarov, Sarvarbek; Akhmedova, T. A.

doi:10.29013/esr-18-9.10.1-130-132

Cited by 3 publications

(2 citation statements)

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“…Крім звичайних функцій карт, вони мають додаткові функції, властиві комп'ютерним технологіям, наприклад оптимізація маршрутів. Такий тип порталів застосовують також і спеціалізовані користувачі, наприклад, геодезисти для збирання просторової інформації з певним ступенем точності, аграрії [1]. Одним із найпопулярніших геопорталів є програма Google Планета Земля [2].…”

Section: вступunclassified

Data collection techniques in Google Earth to create DEM of linear and site objects

Musiienko

2023

Bulletin of KhNAHU

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Problem. Online geographic portals have partially replaced paper maps for a wide range of consumers. Besides the usual functions of maps, they use additional functions inherent in computer technology, such as route optimization. This kind of portal is also used by specialized users, such as surveyors, to collect spatial information with a certain degree of accuracy. Among the common geoportals, Google Earth plays a special role. Google Earth provides spatial information in the WGS-84 coordinate system. For geodetic tasks, the accuracy of data representation is of great importance. We have a convenient tool for collecting spatial information – Google Earth. We also have numerical characteristics of the accuracy of this information. The next stage is the technology of collecting this information for specific production tasks. This article is devoted to this issue: technologies for collecting information in Google Earth for the formation of DEMs of linear and site objects. Goal. The goal of the study is to develop technologies for collecting information in Google Earth to form a DEM of linear and site objects. Methodology. In the article we used the methodology of engineering and surveying adapted to the capabilities of Google Earth. Results. The article analyzes previous studies in the field of using Google Earth for geodetic tasks. The technologies for collecting information for the formation of a digital terrain model (DTM) are divided into linear and site objects. The main idea of these technologies is to rationally organize the collection of information on latitude ϕ, longitude λ, height h in WGS-84. Much attention is paid to the accuracy of this information collection. The most accurate coordinates data provide the properties of segments, so it is proposed to divide objects into segments. Practical value. One algorithm was developed for collecting the coordinates of a linear object and two algorithms for collecting the coordinates of site object. These algorithms used the methodology of engineering and geodetic surveys adapted to the capabilities of the Google Earth application, i.e. the technology simulated a field survey. Originality. The spatial information gathering technology via the Google Earth portal presented in the article is original, optimal and concretized.

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Section: вступunclassified

Data collection techniques in Google Earth to create DEM of linear and site objects

Musiienko

2023

Bulletin of KhNAHU

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“…Однією з сфер застосування Google Earth є сільське господарство [6]. Різні культури на полях мають різний кольоровий вигляд, тому можна чітко розрізняти кордони сільськогосподарських насаджень, керувати просторовими даними.…”

Section: аналіз останніх досліджень і публікаційunclassified

Experience of Obtaining Initial Data From Google Earth to Build a Digital Terrain Model

Musiienko

Kazachenko

2022

MEC

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The Google Earth information system is the virtual globe built on connected photographs with terrain information and partially vectorized situation. The system has the ability to obtain information on the WGS-84 coordinates and the universal transverse Mercator projection of any point, but it requires research on the methodology for obtaining such information and the accuracy of spatial information. The answers to these questions will make it possible to specify the range of geodetic and design tasks that can be solved with Google Earth. It has been analyzed the latest research and publications in article. According to this analysis, the problem of using the Google Earth system for geodetic purposes remains relevant. The work focused on the formation of initial data from the Google Earth system in a convenient text format for further loading into a computer-aided design system to create a digital terrain model. An algorithm for obtaining initial data in the form of four columns has been compiled: the name of the point and three coordinates. In this format, you can perform any coordinate transformations with subsequent loading into other programs. The algorithm for obtaining initial data from Google Earth in text format will be as follows: 1) drawing up a plot survey scheme (determining the survey boundary, alphanumeric designation of streets for simplicity, highlighting survey objects, etc.); 2) creation of closed polygons (general survey area, all areal objects), polylines (all linear objects), marks (all point objects); 3) obtaining geodetic coordinates of nodes of areal objects and polylines; 4) creation of longitudinal profiles for finding heights. The problem of assessing the errors of the Google Earth system in the horizontal plane remains relevant in order to be able to form a digital model of the situation.

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Experience of Obtaining Initial Data From Google Earth to Build a Digital Terrain Model

Musiienko

Kazachenko

Batylin

2022

MEC

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The Google Earth system is widely available, which allows to collect geographic spatial information both on a commercial basis and for own needs. Geodetic measurements are accompanied by measurement errors, they are divided into rough, systematic and random. Systematic errors always distort the measurement result in any direction. Systematic errors are tried to be eliminated by introducing amendments. The analysis of publications shows that the question of obtaining data from the Google Earth system has interested many researchers. Some came to the conclusion that it makes no sense to use geospatial height data, but the use of 2-D data requires research. The relevance is substantiated. The purpose of this article is to confirm the hypothesis that the Google Earth system provides precisely the systematic errors in finding distances so that by introducing linear corrections it is possible to increase the accuracy of linear measurements in this system. The order of the experiment: 1) to take several places (territories) located in different parts of the country; 2) in the Google Earth, to find objects with clear contours near the experimenter's location; 2) to measure distances using the Google Earth; 3) to take screenshots of the measured areas; 4) to measure the distance with a tape measure; 5) to calculate the difference; 6) to repeat the experiment in another part of the territory; 8) to calculate the arithmetic mean (using MS Excel); 9) to calculate the standard deviation (using MS Excel). Three territories located in the northern part of eastern Ukraine were considered. 10 experiments were carried out in each territory. The hypothesis (that the Google Earth system gives systematic errors in finding distances) has been proven. Now, through the introduction of linear corrections, it is possible to increase the accuracy of linear measurements in this system. Keywords: Google Earth, systematic measurement errors, digital model of the situation, distance measurement.

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Crop Classification in Karshi Steppe Using Remote Sensing Information and Google Earth Engine Tool

Cited by 3 publications

References 0 publications

Data collection techniques in Google Earth to create DEM of linear and site objects

Data collection techniques in Google Earth to create DEM of linear and site objects

Experience of Obtaining Initial Data From Google Earth to Build a Digital Terrain Model

Experience of Obtaining Initial Data From Google Earth to Build a Digital Terrain Model

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