Nurmakhambet Sydyk

ORCID: 0000-0003-1429-2393
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About
Contact & Profiles
Research Areas
  • Marine and environmental studies
  • Climate change and permafrost
  • Cryospheric studies and observations
  • Landslides and related hazards
  • Fire effects on ecosystems
  • Remote-Sensing Image Classification
  • Oil Spill Detection and Mitigation
  • Fire Detection and Safety Systems
  • Ecology and biodiversity studies
  • earthquake and tectonic studies
  • Geology and Paleoclimatology Research
  • Geochemistry and Geologic Mapping
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Mining Techniques and Economics
  • Tree Root and Stability Studies
  • Mining and Gasification Technologies
  • Arctic and Antarctic ice dynamics
  • Geotechnical and Geomechanical Engineering

Ionosphere Institute
2022-2024

Al-Farabi Kazakh National University
2022-2024

In today's world, fire forecasting and early detection play a critical role in preventing disasters minimizing damage to the environment human settlements. The main goal of study is development testing machine learning algorithms for automated initial stages fires based on analysis multispectral images. Within framework this study, capabilities three popular methods: extreme gradient boosting, logistic regression, vanilla convolutional neural network (vanilla CNN), are considered task...

10.11591/ijece.v14i2.pp1842-1850 article EN International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering 2024-01-26

Oil spills pose significant threats to marine and coastal ecosystems, necessitating advanced methodologies for environmental sensitivity vulnerability assessments. This study enhances existing frameworks better manage oil spill risks in the Caspian Sea, a region characterized by its ecological economic dependence on extraction. Utilizing Environmental Sensitivity Index (ESI), we adapted global standards unique conditions of Sea built map coastline, which later became one components integral...

10.3390/su16219566 article EN Sustainability 2024-11-02

While rock glaciers (RGs) are widespread in the Zhetysu Alatau mountain range of Tien Shan (Kazakhstan), they have not yet been systematically investigated. In this study, we present first glacier inventory region containing 256 with quantitative information about their locations, geomorphic parameters, and downslope velocities, as established using a method that combines SAR interferometry optical images from Google Earth. Our shows most RGs talus-derived (61%). The maximum velocity active...

10.3390/rs15010197 article EN cc-by Remote Sensing 2022-12-30

An updated glacier inventory is important for understanding the current dynamics in conditions of actual accelerating retreat observed around world. Here, we present a detailed analysis glaciation areas Zhetysu Alatau Range (Tien Shan) 1956–2016 using well-established semiautomatic methods based on band ratios. The total area decreased by 49 ± 2.8% or 399 11.2 km2 from 813.6 22.8 to 414.6 11.6 during 1956–2016, while number glaciers increased 985 813. Similar rates change characterized...

10.3390/rs15082133 article EN cc-by Remote Sensing 2023-04-18

The research goal of these studies was to monitor ground deformations for Almaty city during 2017–2023 and determine the spatial relationships with faults tectonic plate boundaries. small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) deployed measurements using Sentinel-1 satellite images. Distinct deformation patterns were observed from both sides boundary, indicating a standard faulting process. Identical trends south north, forming three transition zones subsidence...

10.3389/fbuil.2024.1502403 article EN cc-by Frontiers in Built Environment 2024-12-16

In the current work, authors reviewed latest research results in landslide susceptibility mapping (LSM) using artificial intelligence (AI) methods. Based on an overall review of collected publications, was classified into four sections based their complexity: single-model approaches, enhanced models with optimization, ensemble models, and hybrid models. Each category offers distinct advantages is suited to specific geographic data conditions, enabling selection optimal model type complexity...

10.3390/rs17010034 article EN cc-by Remote Sensing 2024-12-26

Small lakes are important elements of the ecosystem, especially under conditions climate change and active water use. Studying their condition is key importance for understanding balance biodiversity region. This study compares remote sensing techniques small using Landsat-8, Sentinel-2, Planet unmanned aerial vehicle (UAV) data. The aim work to determine most effective approach monitoring lake by analyzing accuracy different methods indices. used include analysis multispectral data such as...

10.26577/jgem.2024.v75.i4.6 article EN Journal of Geography and Environmental Management 2024-01-01

10.5593/sgem2020/2.2/s10.030 article EN International Multidisciplinary Scientific GeoConference SGEM ... 2020-09-20
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