ANALYSIS OF SOIL DEGRADATION AND DESERTIFICATION IN SOUTHERN BALKASH DESERT BASED ON GIS-Reference-Cited by-同舟云学术

ANALYSIS OF SOIL DEGRADATION AND DESERTIFICATION IN SOUTHERN BALKASH DESERT BASED ON GIS

Published:2020-04-15 Issue:330 Volume:2 Page:41-48
ISSN:2518-1483
Container-title:REPORTS
language:en
Short-container-title:

Author:

Gabdykadyr A.G.¹^ORCID,Issanova G.T.²^ORCID,Kakimzhanov Y.Kh.³^ORCID,Ma Long⁴^ORCID

Affiliation:

1. master student at the Al-Farabi Kazakh National University, Faculty of Geography and Environment, gabdykadyr@inbox.ru; https://orcid.org/0000-0002-4640-1980;

2. PhD in Natural Sciences (Physical Geography), scientific secretary at the Research Centerfor Ecology and Environment of Central Asia (Almaty) and PostDoc at the Al-Farabi Kazakh National University, gul_nur.777@mail.ru; https://orcid.org/0000-0002-4496-0463

3. PhD, lecturer at the Al-Farabi Kazakh National University; erka_7717@mail.ru; https://orcid.org/0000-0001-6454-681X;

4. an associate professor at Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences; https://orcid.org/0000-0001-8483-1554

Abstract

Desertification and degradation provide a clear picture of global environmental and socio-economic issues. Most of Kazakhstan is located in a desert region, including the suburbs of South Balkhash. The reason is that desertification of the region has a strong influence on natural and anthropogenic factors. To consider the geomorphological state of the region and the problem of desertification of the territory, it is necessary to determine the importance of the process of relief of geological structure and relief of tectonics. In recent years, the environmental situation in Balkhash has deteriorated sharply not only as a result of river flow regulation, but also as a result of non-commercial economic activities. Therefore, it is very important to assess the situation of desertification and degradation in the Balkhash region. Desert vegetation has been identified, since information in the spectral range is often insufficient to describe the state of plants, plant indices often develop by combining two or more spectral bands. Land cover index is the percentage of vegetation over a given surface area. Remote sensing information was used to detect the entire land cover. Remote sensing with time and space limitations is widely used to classify vegetation cover. In this work, the proportion of vegetation was estimated by NDVI. The proportion of land cover is based on the relationship between NDVI (NDVIS) and NDVI (NDVIV) in the soil. Using the NDVI index, land cover zones were determined based on satellite images of 2006 and Landsat-5 from 2011. TCT (Tasseled Cap Transformation) coefficients are used in the widest range of problems solved using Earth remote sensing data: from recognition of the coastline of water bodies to determination of forest disturbances. Stressful vegetation may be an indirect sign of the presence of salt in soils. Saline soils are usually characterized by poorly planted areas. A normalized differential salinity index (NDSI) was also determined.

Publisher

National Academy of Sciences of the Republic of Kazakshtan

Subject

General Medicine

Link

http://reports-science.kz/images/pdf/d20202/41-48.pdf

Reference27 articles.

1. Babkov A.A. (1867). On the progress of topographic research of Lake Balkhash and its coasts. J. Notes of the Empire of the Russian Geographical Society for General Geography. St. Petersburg, p. 337-338, (in Rus.).

2. Mushketov I.V. (1886), Turkestan SPb., T.1. p. 102, (in Rus.).

3. Fisher V. (1884). Lake Balkhash and the Ile river coasts. J. West Siberian Division of the Imperial Russian Geographical Society. Omsk, Book 6. P. 2-7,(in Rus.).

4. Nikolsky A.M. (1885). Journey to the lake Balkhash to Semirechensk Oblast. J. West Siberian Division of the Imperial Russian Geographical Society. Omsk, Book 7. Issue 1. P. 12-17 (in Rus.).

5. Meffert B.F. (1911). Sketch of the northern Balkhash and the coasts of western Balkhash: Department of Geography of Mathematics and Physical Geography Russian Geographical Society. St. Petersburg, p. 44 (in Rus.).