ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 1, pp. 220-230

Assessment of meteorological drought and morphometric analysis of the relief of agrolandscapes using remote sensing data and meteorological observation data

A.I. Pavlova 1 
1 Novosibirsk State University of Economics and Management, Novosibirsk, Russia
Accepted: 23.01.2024
DOI: 10.21046/2070-7401-2024-21-1-220-230
The work is devoted to the assessment of meteorological drought and morphometric analysis of relief using remote sensing data and meteorological observation data. Standardized Precipitation and Evaporation Index (SPEI) is calculated using daily meteorological data (precipitation and air temperature) from 1970 to 2021. The research was carried out on the example of Novosibirsk Region. Analysis of the temporal distribution of drought in the central forest-steppe Priobsk, Barabinsk and north forest-steppe Kolyvano-Prisairsk agrolandscapes showed that the long-term average SPEI value is characteristic of normal moisturing. However, the nature of the change in the climate index in some years is significantly different. Space images from Japanese satellites ALOS DSM (Advanced Land Observing Satellite Digital Surface Model) and ALOS PALSAR (Phased Array L-band Synthetic Aperture Radar) were used for morphometric analysis of the relief. The central forest-steppe Barabinsk agrolandscape is located on a lowland plain. The normalised height in the Central forest-steppe Barabinsk agrolandscape is 20 m lower than in the Priobsk agrolandscape and 80 m lower than in the Kolyvan-Prisairsky agrolandscape. The Barabinsk agrolandscape is characterized by the prevalence of insignificant slope (less than 0.50). The base level of erosion is 6 m on average. The average value of the topographic index LS (Length and Slope) is about 7 times less than in the central forest-steppe Priobsk agrolandscape and 19 times less than in the Kolyvan-Prisair agrolandscape. In the central forest-steppe Barabinsk agrolandscape, the frequency of occurrence of droughts of low intensity in July and August is the same (0.31). The incidence of moderate-intensity drought in May and August is the highest (0.32). The central forest-steppe Priobsk agrolandscape represents a gentle plain. There are droughts of moderate and extreme intensity (26 %), strong intensity (25 %), weak intensity (23 %). There are no extreme droughts in the conditions of the hilly Prisair Plain for the Kolyvan-Prisair agrolandscape during the growing season of grain crops from May to August. Repeatability of droughts of weak and moderate intensity is 42 and 40 % of the total number of cases, droughts of strong intensity occur in 18 % of cases.
Keywords: standardized precipitation and evaporation index, agrolandscapes, agroclimatic resources, morphometric relief parameters, geomorphometry, digital elevation model
Full text

References:

  1. Barkovskaya T. A., Gladysheva O. V., Kokoreva V. G., Assessment of adaptability and potential productivity of spring soft wheat in the conditions of the Ryazan region, Agricultural Science of the Euro-North-East, 2023, No. 24(1), pp. 58–65 (in Russian), DOI: 10.30766/2072-9081.2023.24.1.58-65.
  2. Ionova E. V., Likhovidova V. A., Lobunskaya I. A., Drought and hydrothermal moisture coefficient as one of the criteria for assessing the degree of its intensity (literature review), Grain Farming in Russia, 2019, No. 6, pp. 18–22 (in Russian), DOI: 10.31367/2079-8725-2019-66-6-18-22.
  3. Pavlova A. I., Spatial databases of agronomic geographic information systems, Siberian J. Life Sciences and Agriculture, 2021, Vol. 13, No. 5, pp. 336–349 (in Russian), DOI: 10.12731/2658-6649-2021-13-5-336-349.
  4. Pavlova A. I., Creation of database of geomorphometric parameters of the relief on the example Novosibirsk region using satellite images, Siberian J. Life Sciences and Agriculture, 2023, Vol. 15, No. 2, pp. 336–349 (in Russian), DOI: 10.12731/2658-6649-2021-13-5-336-349.
  5. Strashnaya A. I., Birman B. A., Bereza O. V., Features of the 2012 drought in the Urals and Western Siberia and its impact on the yield of spring grain crops, Hydrometeorological Studies and Forecasts, 2018, No. 2(368), pp. 154–169 (in Russian).
  6. Tretii otsenochnyi doklad ob izmeneniyakh klimata i ikh posledstviyakh na territorii Rossiiskoi Federatsii. Obshchee rezyume (Third assessment report on climate change and its consequences on the territory of the Russian Federation. General summary), Saint Petersburg: High Technology, 2022, 124 p. (in Russian).
  7. Araneda-Cabrera R. J., Bermúdez M., Puertas J., Benchmarking of drought and climate indices for agricultural drought monitoring in Argentina, Science of the Total Environment, 2021, Vol. 790, Article 148090, DOI: 10.1016/j.scitotenv.2021.148090.
  8. Climate Change 2022: Impacts, adaptation and vulnerability: IPCC Sixth Assessment report, H.-O. Pottner, D. Roberts, M. M. B. Tignor et al. (eds.), Cambridge, UK; New York, USA: Cambridge Univ. Press, 2022, 3056 p., https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf.
  9. Li L., She D., Zheng H., Lin P., Yang Z.-L., Elucidating Diverse Drought Characteristics from Two Meteorological Drought Indices (SPI and SPEI) in China, J. Hydrometeorology, 2020, Vol. 21, Issue 7, pp. 1513–1530, DOI: 10.1175/JHM-D-19-0290.1.
  10. Muse N. M., Taufur G., Safari M. J. S., Meteorological Drought Assessment and Trend Analysis in Puntland Region of Somalia, Sustainability, 2023, Vol. 15(13), Article 10652, DOI: 10.3390/su151310652.
  11. Müller L. M., Bahn M., Drought legacies and ecosystem responses to subsequent drought, Global Change Biology, 2022, Vol. 28, pp. 5086–5103, DOI: 10.1111/gcb.16270.
  12. Ndayiragije J. M., Li F., Effectiveness of Drought Indices in the Assessment of Different Types of Droughts, Managing and Mitigating Their Effects, Climate, 2022, Vol. 10, Article 125, DOI: 10.3390/cli10090125.
  13. Wang Q., Zhang R., Qi J. et al., An improved daily standardized precipitation index dataset for mainland China from 1961 to 2018, Scientific Data, 2022, No. 9, Article 124, DOI: 10.1038/s41597-022-01201-z.
  14. Wang Y., Yang J., Chen Y. et al., Monitoring and Predicting Drought Based on Multiple Indicators in an Arid Area, China, Remote Sensing, 2020, Vol. 12(14), Article 2298, DOI: 10.3390/rs12142298.
  15. Zhang H., Yin G., Zhang L., Evaluating the impact of different normalization strategies on the construction of drought condition indices, Agricultural and Forest Meteorology, 2022, Vol. 323(5), Article 109045, DOI: 10.1016/j.agrformet.2022.109045.