Estimation of bioclimatic potential of Belarus using remote sensing data and computer modelling
Abstract
Possibility of large-scale bioclimatic potential values (BCP) computation on the base of remote sensing data and surface-level observations was considered in this work. In order to solve this problem, two methods were proposed: first method is based on using of ERA-Interim global reanalysis system data, second method is based on regression dependence between BCP, Selyaninov’s hydrothermic coefficient (HTC) and Normalized Difference Vegetation Index (NDVI). Both methods were realized in Python programming language environment. Analysis of the results obtained showed that method based on reanalysis data allows reflect spatiotemporal changes of BCP with sufficient accuracy, but absolute values of BCP according to this method are always lower than actual. At the same time, BCP values calculated according to the second proposed method are very close to values obtained using observation data. The BCP values set, calculated according to the second method, have distinctive traits ofspatial distribution: absence of latitudinal zonality and high dependence on vegetation type.
About the Authors
V. F. Loginov
Institute for Nature Management of the National Academy of Sciences of Belarus, Minsk
Belarus
Belarus
M. A. Khitrykau
Institute for Nature Management of the National Academy of Sciences of Belarus, Minsk
Belarus
Belarus
References
1. Шашко, Д.И. Агроклиматические ресурсы СССР / Д.И. Шашко. – Л.: Гидрометеоиздат, 1985. – 248 с.
2. Шашко, Д.И. Агроклиматическое районирование СССР / Д.И. Шашко. – М.: Колос, 1967. – 335 с.
3. ERA-Interim Global Reanalysis System [Electronic resource]. – Mode of access: https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim. Date of access: 09.04.2019.
4. Логинов В.Ф. Пространственно-временные изменения биоклиматического потенциала территории Беларуси / В.Ф. Логинов, М.А. Хитриков. // Вес. Нац. акад. навук Беларусі. Сер. аграр. навук. – 2017. – №1. – С. 42–57.
5. Хитриков, М.А. Характеристика изменений биоклиматического потенциала Беларуси и сопредельных территорий Литвы и Украины за период 1977–2015 гг. / М.А. Хитриков // Природопользование. – 2018. – №1. – С. 135–149.
6. Логинов, В.Ф. Прогноз изменения биоклиматического потенциала территории Беларуси на период 2016– 2035 гг. / В.Ф. Логинов, М.А. Хитриков. // Вес. Нац. акад. навук Беларусі. Сер. аграр. навук. – 2018. – №1. – С. 51–64.
7. World meteorological organization, Guide to meteorological instruments and methods of observations, 7th edition, Geneva, WMO, 2008, 716 p.
8. MODIS Vegetation Index Products (NDVI and EVI) [Electronic resource]. – Mode of access: https://modis.gsfc.nasa.gov/data/dataprod/mod13.php. Date of access: 15.04.2019.
9. Лысенко С.А. Сеточный архив метеорологических данных для республики Беларусь и возможности его применения для исследования пространственно-временных особенностей изменений климата / С.А. Лысенко, В.Д. Чернышев, В.В. Коляда // Природопользование. –2019. – № 1. – С. 17–27.
10. Python Programming Language [Electronic resource]. – Mode of access: https://www.python.org. Date of access: 05.03.2019.
11. NumPy package for scientific computing [Electronic resource]. – Mode of access: https://www.numpy.org. Date of access: 11.03.2019.
12. Matplotlib Python plotting library [Electronic resource]. – Mode of access: https://matplotlib.org. Date of access: 15.03.2019.
13. Matplotlib Basemap Toolkit [Electronic resource]. – Mode of access: https://matplotlib.org/basemap/. Date of access: 20.03.2019.
14. netCDF4 module for Python documentation [Electronic resource]. – Mode of access: https://unidata.github.io/netcdf4-python/netCDF4/index.html. Date of access: 12.03.2019.
15. Pandas Data Analysis Library [Electronic resource]. – Mode of access: https://pandas.pydata.org. Date of access: 28.03.2019.
16. HadCRUT4 Global Temperature Dataset [Electronic resource]. – Mode of access: https://crudata.uea.ac.uk/cru/data/temperature/. Date of access: 30.04.2019.
17. Нацыянальны атлас Рэспублікі Беларусь / Белкартаграфія ; пад рэд М.У. Мясніковіча. – Мінск : Белкартаграфія, 2002. – 292 с.
18. Атлас опасных метеорологических явлений на территории Беларуси : учеб. пособие / В.Ф. Логинов [и др.]. – М.: Мещерский филиал ВНИИГиМ им. А.Н. Костякова, 2018. – 58 с.
Review
For citations:
Loginov V.F., Khitrykau M.A. Estimation of bioclimatic potential of Belarus using remote sensing data and computer modelling. Natural resources. 2019;(2):82-93. (In Russ.)
Views: 296
Email this article 