APPLICATION OF GEOINFORMATION TECHNOLOGIES IN ESTIMATION AND PREDICTION OF ENVIRONMENTAL CONDITION

The rising relevance of systematization, acquisition and use of ecological information on the relief, soil, water, climate, as well as the nature and rate of anthropogenic impact on the environment in a certain area calls for complex information systems. Such data are accumulated in accordance with their complexity level and systematized based on different features: subject, territory, etc. The problem of accumulation and systematization is solved by generating a base of metadata, structured and encoded data that describe characteristics of data-carrying objects, which favors to identification, detection and control of these objects. Modern GIS-applications allow operating all three types of data: vector data, raster data and databases. Regarding the ecological evaluation of areas, the role of map data and geographic information networks grows. For solving environmental problems, the Quantum GIS product appears to be an optimal choice. Application of geoinformation technologies enables connecting heterogeneous geological, geophysical and geochemical information and remote sensing data. Furthermore, it becomes possible to perform higher-level integrated interpretation of data, to rank areas by the stability category, to prepare operational information, to seek and find inexplicit natural ties between nature objects, etc. With the development of geoinformation technologies, ecology has acquired new mighty tools for monitoring, estimation and prediction of environmental condition, which, in turn, governs dynamic and sustainable development in a region.

Keywords

Geoinformation technologies, map data base, GIS (Geographic Information System), remote sensing, NDVI.

Issue number: 8
Year: 2018
ISBN:
UDK: 504.064.36
DOI: 10.25018/0236-1493-2018-8-0-46-53
Authors: Lipinа L. N., Usikov V. I.

About authors: Lipinа L.N., Candidate of Technical Sciences, Researcher, e-mail: geo-lipina@rambler.ru, Usikov V.I., Candidate of Economical Sciences, Senior Researcher, e-mail: v-i-usikov@yandex.ru, Institute of Mining of Far East Branch of the Russian Academy of Sciences, 680000, Khabarovsk, Russia.

REFERENCES:

1. Lisitskiy D. V., Katsko S. YU. Izmenenie sushchnosti i funktsiy kartograficheskikh izobrazheniy na sovremennom etape razvitiya obshchestva [Changing the nature and functions of map images at the current stage of development of society]. Geodeziya i kartografiya. 2008, no 2, pp. 29—32. [In Russ].

2. Metodannye i ikh mesto v khranilishche dannykh http://bourabai.ru/tpoi/metadata.htm. 

3. Internet resource: http://mapservis.ru/docs/Sist_proekt_RIPD.

4. Internet resource: http://www.gisa.ru

5. Borzuchowski J., Schulz K. Retrieval of leaf area index (LAI) and soil water content (WC) using hyperspectral remote sensing under controlled glass house conditions for spring barley and sugar beet, Remote Sensing, 2010, no 2, pp. 1702—1721.

6. Cherepanov A. S. Vegetatsionnye indeksy [Vegetation index]. Geomatika. 2011, no 2, pp. 98—102. [In Russ].

7. Grekhnev N. I., Lipina L. N., Usikov V. I. K voprosu otsenki ekologicheskogo riska s ispol'zovaniem metoda distantsionnogo zondirovaniya zemli [On the question of environmental risk assessment using the method of remote sensing of the earth]. Gornyy informatsionno-analiticheskiy byulleten'. 2015. Special

edition 30, pp. 437—446. [In Russ].

8. Bubnova M. B., Ozaryan Yu. A. Ekologicheskiy monitoring prirodno-gornotekhnicheskikh sistem na osnove dannykh distantsionnogo zondirovaniya [Environmental monitoring natural-mining systems based on remote sensing data]. Ekologicheskie sistemy i pribory. 2015, no 11, pp. 15—22. [In Russ].

9. Myachina K. V. Issledovanie dinamiki landshaftnoy struktury neftedobyvayushchikh territoriy stepnoy zony Predural'ya s primeneniem GIS-tekhnologiy na osnove sputnikovykh dannykh [Investigation of the dynamics of landscape structure of the oil-producing areas of the steppe zone of Ural region using satellitebased GIS technology]. Geoinformatika. 2016, no 2, pp. 2—13. [In Russ].

10. Ustinov S. A., Petrov V. A. Ispol'zovanie detal'nykh tsifrovykh modeley rel'efa dlya strukturno-lineamentnogo analiza (na primere Urtuyskogo granitnogo massiva) [Using a detailed digital elevation models for structural and lineament analysis (for example, Urtuyskogo granite massif)]. Geoinformatika. 2016, no 2,

pp. 51—60. [In Russ].

11. Kalabin G. V., Gornyy V. I., Kritsuk S. G. Sputnikovyy monitoring reaktsii rastitel'nogo pokrova na vozdeystvie predpriyatiya po osvoeniyu Sorskogo medno-molibdenovogo mestorozhdeniya [Satellite monitoring of vegetation response to the impact of the company on the development of Sora copper-molybdenum deposit]. Fiziko-tekhnicheskie problemy razrabotki poleznykh iskopaemykh. 2014, no 1, pp. 153—161. [In Russ].

12. Usikov V. I., Lipina L. N. Geoinformatsionnyy monitoring dlya obespecheniya ekologicheskoy bezopasnosti v regione [Geoinformation monitoring for environmental security in the region]. Ekologiya i bezopasnost'zhiznedeyatel'nosti goroda: problemy i resheniya: materialy 5-y Vserossiyskoy nauchno-prakticheskoy konferentsii s mezhdunarodnym uchastiem, 23—24 August 2016, Khabarovsk, Izd-vo DVGUPS, 2016, pp. 268—271. [In Russ].

13. Usikov V. I., Lipina L. N. Ispol'zovanie informatsionnykh tekhnologiy v ekologo-geokhimicheskoy otsenke otkhodov gornoobogatitel'nykh kombinatov yuga Dal'nego Vostoka [Use of information technologies in eco-geochemical assessment of waste ore processing plants south of the Far East]. Ekologiya promyshlennogo proizvodstva. 2016, no 4, pp. 2—8. [In Russ].

Subscribe for our dispatch