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Application of GIS technologies in surveying the state of forest crops in the green zone of Astana
- Authors: Kabanov A.N.1, Ospangaliev A.S.2, Kabanova S.A.1, Kochegarov I.S.1, Bekbaeva A.M.2, Danchenko M.A.3
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Affiliations:
- A.N. Bukeikhan Kazakh Research Institute of Forestry and Agroforestry
- S. Seifullin Kazakh AgroTechnical Research University
- Tomsk State University
- Issue: Vol 18, No 3 (2023)
- Pages: 361-372
- Section: Protective afforestation
- URL: https://agrojournal.rudn.ru/agronomy/article/view/19925
- DOI: https://doi.org/10.22363/2312-797X-2023-18-3-361-372
- EDN: https://elibrary.ru/NWPPYB
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Abstract
When carrying out forestry, constant monitoring of plant condition and growth is very important. There is a wide range of Earth remote sensing sources for effective management of woody vegetation in vast areas. The purpose of the study was to identify areas with weekened and dying tree crops in the green observation zone of Astana, Kazakhstan, covering ‘Batys’ forestry using remote sensing data. The results of studies carried out for research on the growth and development of artificial plantations were obtained. During the experiment, a comparison of remote sensing data was performed using an unmanned aerial vehicle Supercam S350F with multispectral camera Micasense RedEdge and high-resolution measurements obtained with Sentinel‑2 and PlanetScope satellites in order to select a method for solving the tasks. Based on the materials of multispectral diagnostics, the state of forest plantations in ‘Batys’ forestry was revealed, where 35 % of tree crops were classified as healthy, 30 % — as weakened, and 35 % — as dying.
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Table 1. Assessment of the state of tree crops in ‘Batys’ forestry (planting year — 2010)
Species | Quarter, No. | Total | Healthy plants | Weakened plants | Strongly weakened plants | Dead plants | Survival, % | Plant state assessment, % | State category |
Betula pendula | 67 | 136 | 102 | 10 | 4 | 20 | 83.8 | 81.9 | Healthy |
Betula pendula | 67 | 115 | 45 | 30 | 33 | 7 | 79.6 | 69,1 | Weakened |
Betula pendula | 74 | 124 | 25 | 10 | 45 | 44 | 46.4 | 41,7 | Dying |
Acer negundo | 62 | 135 | 121 | 9 | 0 | 5 | 96.3 | 94.4 | Healthy |
Acer negundo | 66 | 122 | 44 | 47 | 23 | 9 | 45.5 | 70,8 | Weakened |
Ulmus pumila | 63 | 115 | 85 | 15 | 6 | 9 | 89.6 | 85.4 | Healthy |
Ulmus pumila | 66 | 109 | 40 | 25 | 11 | 33 | 64.7 | 58,0 | Weakened |
Ulmus pumila | 62 | 101 | 23 | 12 | 38 | 28 | 53.5 | 47,2 | Dying |
Table 2. Taxation indicators of forest crops
Species | Quarter no. | Average height, m | Average diameter, cm | Condition | ||
X±m | V, % | X±m | V, % | |||
Betula pendula | 67 | 7.8±0.4 | 23.9 | 7.3±0.4 | 24.6 | Healthy |
Betula pendula | 67 | 5.5±0.3 | 23.6 | 6.5±0.5 | 33.9 | Weakened |
Betula pendula | 74 | 5.9±0.4 | 41.7 | 4.4±0.2 | 39.2 | Dying |
Acer negundo | 62 | 3.6±0.10 | 14.5 | 3.8±0.2 | 28.3 | Healthy |
Acer negundo | 66 | 2.8±0.16 | 26.6 | 3.3±0.3 | 37.0 | Weakened |
Ulmus pumila | 62 | 5.6±0.25 | 17.2 | 8.1±0.5 | 22.7 | Healthy |
Ulmus pumila | 63 | 5.0±0.34 | 16.7 | 7.5±0.6 | 19.1 | Weakened |
Ulmus pumila | 66 | 4.9±0.21 | 17.0 | 6.3±0.3 | 18.8 | Dying |
Fig. 1. Vegetation indices NDVI of ‘Batys’ forestry, UAV data
Fig. 2. Comparison of pixel values by terrestrial forest state classes
About the authors
Andrey N. Kabanov
A.N. Bukeikhan Kazakh Research Institute of Forestry and Agroforestry
Author for correspondence.
Email: 7058613132@mail.ru
ORCID iD: 0000-0002-5479-3689
SPIN-code: 9628-4453
PhD student, senior researcher
58 Kirova st., Shchuchinsk, 021704, KazakhstanAskhat S. Ospangaliev
S. Seifullin Kazakh AgroTechnical Research University
Email: a.ospangaliev@mail.ru
ORCID iD: 0000-0001-7478-8505
Senior lecturer
62B Zhenis st., Astana, 010000, KazakhstanSvetlana A. Kabanova
A.N. Bukeikhan Kazakh Research Institute of Forestry and Agroforestry
Email: kabanova.05@mail.ru
ORCID iD: 0000-0002-3117-7381
SPIN-code: 3897-4757
Candidate of Biological Sciences, Associate Professor, Head of the Department of Reforestation and Forest Cultivation
58 Kirova st., Shchuchinsk, 021704, KazakhstanIgor S. Kochegarov
A.N. Bukeikhan Kazakh Research Institute of Forestry and Agroforestry
Email: garik_0188@mail.ru
ORCID iD: 0000-0003-1185-5218
SPIN-code: 8313-4687
Junior researcher
58 Kirova st., Shchuchinsk, 021704, KazakhstanAigul M. Bekbaeva
S. Seifullin Kazakh AgroTechnical Research University
Email: bekbaevaaigul@gmail.com
ORCID iD: 0000-0002-3477-1888
Deputy Director, Center for technological competence in the field of digitalization of the agro-industrial complex
62B Zhenis st., Astana, 010000, KazakhstanMatvey A. Danchenko
Tomsk State University
Email: mtd2005@sibmail.com
ORCID iD: 0000-0002-5974-9556
SPIN-code: 8209-8687
Candidate of Geographical Sciences, Associate Professor, Biological Institute
36 Lenin st., Tomsk, 634050, Russian FederationReferences
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