ҚАШЫҚТЫҚТАН ЗОНДТАУ ЖӘНЕ ГАЖ ТӘСІЛДЕРІН ҚАРАҒАЙЛЫ ОРМАННЫҢ ӨСІМДІК ЖАМЫЛҒЫСЫНЫҢ ҚАЛПЫНА КЕЛУ ПРОЦЕСІН ЗЕРТТЕУДЕ ҚОЛДАНУ  («СЕМЕЙ ОРМАНЫ» МЕМЛЕКЕТТІК ОРМАН ТАБИҒИ РЕЗЕРВАТЫ МЫСАЛЫНДА)

А.Б. Сагынбаева; Б.Т. Мамбетов; А.В. Данчева

doi:10.37884/1-2023/15

Abstract

In the article, the authors considered the need to use geographic information systems and remote sensing data when detecting changes in the territory where a forest fire occurred. ENVI 5.2 and ArcGIS 10.8.1 programs and data from Landsat 5, Landsat 7 Enhanced Thematic Mapper (ETM+), Landsat 8 OLI optical satellites were used to detect changes in the fire zone. In addition, post-fire changes in woodlands are described using methods of remote sensing of the Earth (remote sensing). The research area is the Zhanasemeysky branch of the State Forest Nature Reserve "Semey Ormany", located on the territory of the Abai region of Kazakhstan. The changes in the vegetation cover of the territories over 15 years, that is, in the period from 2007 to 2022, where the fire occurred, are considered.

The research area was digitized based on high-resolution Google Earth images, and then the digitized maps were converted into a shapefile using the ArcGIS software. Before the main processing, the resulting image underwent a pre-processing stage consisting of radiometric and atmospheric corrections. To detect a fire in the resulting image, the index dNBR = (NBRprefire – NBRpostfire) was used. Therefore, first we determine the PreNBR index, which is calculated based on images taken before the fire. In the case of the study, these images are dated 25.03.2008. After making all adjustments to the pictures, PreNBR=(b4-b7)/(b4+b7), PostNbr=(b4-b7)/(b4+b7) were calculated. It is intended for images taken after a fire. In the case of the study, these images are dated 05/20/2008, at the end we calculate dNBR. Classify the images according to the values obtained. Thus, we determine where the fire originated.

In addition, in the article, the authors considered the need to use geographic information systems and remote zoning data for more accurate and effective monitoring of forests.

01 Introduction

The full text of the article is available for download in PDF format on the right panel.

02 References

1. Пахучий В.В. Ведение лесного хозяйства на базе ГИС/ В. В. Пахучий// Сыкт. лесн. ин-т. – Сыктывкар: СЛИ, 2013. – 56 с.
2. Mfoniso AsuquoEnoh, Uzoma Chinenye Okeke, Needam YiinuNarinua / Identification and modelling of forest fire severity and risk zones in the Cross – Niger transition forest with remotely sensed satellite data/ The Egyptian Journal of Remote Sensing and Space Science / Volume 24, Issue 3, Part 2, December 2021, P. 879-887.
3. Попов С.Ю. Геоинформационные системы и пространственный анализ данных в науках о лесе / С.Ю.Попов// Санкт-Петербург : Интермедия, 2013. 400 c.
4. The use of Geographic Information System (GIS) technology in the survey of forest for national development Oricha, K. A, Aniama Salome Ojone International Journal of Advanced Research in Science, Engineering and Technology Vol. 6, Issue 7 , July 2019
5. Баширова, Ч. Ф. Индекс NDVI для дистанционного мониторинга растительности /Ч. Ф. Баширова// Международный научный журнал Молодой ученый. 2019. № 31 (269). — 30-31с.
6. Пахучий В.В. Ведение лесного хозяйства на базе ГИС/ В. В. Пахучий// Сыкт. лесн. ин-т. – Сыктывкар: СЛИ, 2013. – 56 с.
7. Трегуб А. И., Жаворонкин О. В. Дистанционное зондирование земли при геологических исследованиях/ А. И. Трегуб, О. В. Жаворонкин// Издательско-полиграфический центр ВГУ. – Воронеж: 2012. 46с.
8. Carmel Y., Paz S., Jahashan F., Shoshany M. Assessing fire risk using Monte Carlo simula Assessing fire risk using Monte Carlo simulations of fire spread. Forest Ecol. Manag. 257, 370, 2009.
9. Avtaeva T.A., Kushalieva Sh. A. , The History of the Usage of GIS Technologies in Ecological and Faunistic Research/Conference: Proceedings of the International Symposium “Engineering and Earth Sciences: Applied and Fundamental Research” (ISEES 2018) Pages 534-537
10. Kovalev A.V., Tokareva O.S. Using MODIS NDVI products for vegetation state monitoring on the oil production territory in Western Siberia // MATEC Web of Conferences. – 2016. – Vol. 48. – 05003, 4 p.

Citation Links

[1]2023. APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE "SEMEY ORMANY"). Izdenister natigeler. 1 (97) (Mar. 2023), 127–138. DOI:https://doi.org/10.37884/1-2023/15.

(1)APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE "SEMEY ORMANY"). Izdenister natigeler 2023, No. 1 (97), 127-138. https://doi.org/10.37884/1-2023/15.

APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE "SEMEY ORMANY"). (2023). Izdenister Natigeler, 1 (97), 127-138. https://doi.org/10.37884/1-2023/15

APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE "SEMEY ORMANY"). Izdenister natigeler, [S. l.], n. 1 (97), p. 127–138, 2023. DOI: 10.37884/1-2023/15. Disponível em: https://natsus.kaznaru.edu.kz/index.php/research/article/view/180. Acesso em: 15 sep. 2026.

“APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE ‘SEMEY ORMANY’)”. 2023. Izdenister Natigeler, no. 1 (97) (March): 127-38. https://doi.org/10.37884/1-2023/15.

“APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE ‘SEMEY ORMANY’)” (2023) Izdenister natigeler, (1 (97), pp. 127–138. doi:10.37884/1-2023/15.

[1]“APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE ‘SEMEY ORMANY’)”, Izdenister natigeler, no. 1 (97), pp. 127–138, Mar. 2023, doi: 10.37884/1-2023/15.

“APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE ‘SEMEY ORMANY’)”. Izdenister Natigeler, no. 1 (97), Mar. 2023, pp. 127-38, https://doi.org/10.37884/1-2023/15.

“APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE ‘SEMEY ORMANY’)”. Izdenister natigeler, no. 1 (97) (March 30, 2023): 127–138. Accessed September 15, 2026. https://natsus.kaznaru.edu.kz/index.php/research/article/view/180.

1.APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE "SEMEY ORMANY"). Izdenister natigeler [Internet]. 2023 Mar. 30 [cited 2026 Sep. 15];(1 (97):127-38. Available from: https://natsus.kaznaru.edu.kz/index.php/research/article/view/180

1.APPLICATION OF THE APPROACH OF REMOTE SENSING OF THE EARTH AND GIS IN THE STUDY OF THE PROCESS OF RESTORATION OF THE VEGETATION COVER OF A PINE FOREST (ON THE EXAMPLE OF THE STATE FOREST NATURAL RESERVE "SEMEY ORMANY"). Izdenister natigeler. 2023;(1 (97):127-138. doi:10.37884/1-2023/15

[1] 1. Пахучий В.В. Ведение лесного хозяйства на базе ГИС/ В. В. Пахучий// Сыкт. лесн. ин-т. – Сыктывкар: СЛИ, 2013. – 56 с.

[2] 2. Mfoniso AsuquoEnoh, Uzoma Chinenye Okeke, Needam YiinuNarinua / Identification and modelling of forest fire severity and risk zones in the Cross – Niger transition forest with remotely sensed satellite data/ The Egyptian Journal of Remote Sensing and Space Science / Volume 24, Issue 3, Part 2, December 2021, P. 879-887.

[3] 3. Попов С.Ю. Геоинформационные системы и пространственный анализ данных в науках о лесе / С.Ю.Попов// Санкт-Петербург : Интермедия, 2013. 400 c.

[4] 4. The use of Geographic Information System (GIS) technology in the survey of forest for national development Oricha, K. A, Aniama Salome Ojone International Journal of Advanced Research in Science, Engineering and Technology Vol. 6, Issue 7 , July 2019

[5] 5. Баширова, Ч. Ф. Индекс NDVI для дистанционного мониторинга растительности /Ч. Ф. Баширова// Международный научный журнал Молодой ученый. 2019. № 31 (269). — 30-31с.

[6] 6. Пахучий В.В. Ведение лесного хозяйства на базе ГИС/ В. В. Пахучий// Сыкт. лесн. ин-т. – Сыктывкар: СЛИ, 2013. – 56 с.

[7] 7. Трегуб А. И., Жаворонкин О. В. Дистанционное зондирование земли при геологических исследованиях/ А. И. Трегуб, О. В. Жаворонкин// Издательско-полиграфический центр ВГУ. – Воронеж: 2012. 46с.

[8] 8. Carmel Y., Paz S., Jahashan F., Shoshany M. Assessing fire risk using Monte Carlo simula Assessing fire risk using Monte Carlo simulations of fire spread. Forest Ecol. Manag. 257, 370, 2009.

[9] 9. Avtaeva T.A., Kushalieva Sh. A. , The History of the Usage of GIS Technologies in Ecological and Faunistic Research/Conference: Proceedings of the International Symposium “Engineering and Earth Sciences: Applied and Fundamental Research” (ISEES 2018) Pages 534-537

[10] 10. Kovalev A.V., Tokareva O.S. Using MODIS NDVI products for vegetation state monitoring on the oil production territory in Western Siberia // MATEC Web of Conferences. – 2016. – Vol. 48. – 05003, 4 p.