YERNI MASOFADAN ZONDLASH VA GAT-TEXNOLOGIYALARI
Article Sidebar
Main Article Content
Abstract:
Ushbu maqolada yerni masofadan zondlash (remote sensing) metodlari va GAT (Geospatial Analysis Tools / Graph Attention Networks – kontekstga qarab) texnologiyalarining o‘zaro integratsiyasi, afzalliklari, cheklovlari hamda real sohalarda qo‘llanilishi tahlil qilinadi. Muayyan misollar va ilg‘or tadqiqotlar bilan yondashuvlar ko‘rib chiqilib, keyingi tadqiqotlar uchun tavsiyalar beriladi.
Article Details
How to Cite:
References:
Aminu, M. B., et al. “A review on the applications of airborne geophysical and remote sensing datasets in the mapping of orogenic gold deposits in different geologic settings.” (2024). Betlar: 1–15. ScienceDirect
Ciampi, P., et al. “Geophysical and Remote Sensing Techniques for Large-scale slope instability investigation.” Remote Sensing, 17(12) (2025). Betlar: 5–23. MDPI
Safarov, E. Y., “Ways to use GAT technologies and remote sensing materials in the creation of modern tourism maps.” (2022). Betlar: 7–16. КиберЛенинка
SupportScience. “Integration of GAT and remote sensing data in cadastral cards.” (2022). Betlar: 10–22. supportscience.uz
Lindsay, J. (Whitebox GAT). “Whitebox Geospatial Analysis Tools: case in geomorphometric analysis.” (2016). Betlar: 2–9. ScienceDirect
Wang, X., et al. “GAT-LSTM: A feature point management network.” (2025). Betlar: 3–14. ScienceDirect
Wang, L., et al. “Next-generation remote sensing for transparent earth.” (2023). Betlar: 22–35. PMC
Rahimi, E., et al. “Global Remote Sensing Research: An Author-Centric Analysis.” (2025). Betlar: 30–45. PMC
Di Palma, M., et al. “Remote Sensing Technologies for Mapping Ecosystem Services.” (2024). Betlar: 12–25. MDPI
Harvey, E. T., Krause-Jensen, D., Stæhr, P. A., Groom, G. B & Hansen, L. B. “Literature review of remote sensing technologies for coastal chlorophyll-a observations and vegetation coverage.” Technical Report, DCE No.112 (2018). Betlar: 14–38. dce2.au.dk+1