An Integrated Earth Observation Assessment of Land-Cover Change, Settlement Expansion, and Tropospheric NO2 in East Kazakhstan
The East Kazakhstan Region is characterized by heterogeneous mountain, steppe, agricultural, and urban–industrial landscapes. However, spatially integrated assessments of land-cover conditions, agricultural dynamics, settlement expansion, and atmospheric trace-gas patterns remain limited. This study combines open multi-source Earth observation datasets and products to assess regional land cover, cropland dynamics from 2003 to 2019, built-up-area expansion from 1985 to 2025, and tropospheric nitrogen dioxide (NO2) column density from 2019 to 2024. The land-cover classification was based on Sentinel-2 imagery and ancillary geospatial datasets. Its random forest component achieved an overall accuracy of 90.17%, a Cohen’s kappa coefficient of 0.892, and a macro-averaged F1 score of 0.888. Grassland was the largest mapped land-cover class, covering 39.3% of the study region, followed by dense vegetation (16.2%), rock (14.9%), and sparse vegetation (10.6%). Mapped cropland extent increased from 4771.6 km2 in 2003 to 5043.9 km2 in 2019, representing a net increase of 272.3 km2 (5.7%), although a minor decrease occurred after 2015. The harmonized built-up area time series showed expansion within all nine major settlements, with the largest absolute increase observed in Öskemen (Ust-Kamenogorsk). Newly detected built-up pixels during 2000–2024 were mostly associated with transition from grassland and dense shrubs. Annual Sentinel-5P observations showed recurring elevated tropospheric NO2 column densities in northwestern East Kazakhstan, particularly around Öskemen. Over the built-up footprint, the area-weighted mean increased from 24.1 µmol m−2 in 2019 to 29.2 µmol m−2 in 2024. The integrated framework provides a spatially consistent regional baseline while identifying descriptive patterns that require further process-based investigation in future.
Authors
- Igor Klein (ORCID: https://orcid.org/0000-0003-0113-8637)
- Nurgul Raissova (ORCID: https://orcid.org/0000-0002-3975-5457)
- Диас Дауров (ORCID: https://orcid.org/0000-0003-3073-4577)
- Кабыл Жамбакин (ORCID: https://orcid.org/0000-0001-5243-145X)
- Жанар Абилда (ORCID: https://orcid.org/0000-0001-8505-5243)
- Emma Garcia Boadas
- Malika Shamekova
- Coen Rouppe van der Voort
Institutions
- TU Wien (AT)
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- Institute of Plant Biology and Biotechnology (KZ)
- Wageningen University & Research (NL)
Publication Details
- Journal
- Land
- Published
- 2026-08-20
- DOI
- https://doi.org/10.3390/land15081513
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00