Janubiy mintaqalarning qurg’oqchil sharoitida Evapotranspiratsiya va NDVI o’rtasida makon-zamon bog’liqliklar tahlili
Qabul qilingan: 2026-07-06 14:55:29
Nashr etilgan: 2026-07-06
Annotatsiya
Masofadan zondlash ma’lumotlari asosida o‘simlik qoplamini baholashda keng
qo‘llaniladigan NDVI indeksi vaevapotranspiratsiya (ET)ko‘rsatkichlari o‘rtasidagi o‘zaro bog‘liqlik,
o‘simliklarning fiziologiyasi, xlorofill miqdori, biomassa va stress darajasini baholashda samarali
indikator hisoblanib, ET tuproq va o‘simliklar orqali suv sarfini aks ettiradi. Tadqiqotda Google Earth
Engine (GEE) platformasi yordamida Qashqadaryo viloyati uchun 2016-2025 yillardagi NDVI va ET
ko‘rsatkichlarining zamon va makon (fazo-vaqt) dinamikasi tahlil qilindi. Olingan natijalar asosida
mazkur ko‘rsatkichlar o‘rtasidagi korrelyatsion bog‘liqlik baholandi hamda ularning qo‘rg‘oqchil
iqlim sharoitidagi o‘ziga xos xususiyatlari aniqlandi. Tadqiqot natijalari mintaqada suv resurslarini
boshqarish va qishloq xo‘jaligi samaradorligini oshirish uchun ilmiy asos yaratadi.
Kalit so‘zlar
Adabiyotlar ro'yxati
-
Kh.Sh.Gafforov., Sh.D.Tursunboev “Assessment of the impact of climate change on hydrological processes in the chirchik river basin, №1(23).2021 Journal “Irrigatsiya va melioratsiya” (Russian)
-
Sun, K., Yang, P., Xia, J., Huang, H., Chen, Y., Wang, C., ... Lu, X. (2025). Multitemporal Drought Vegetation Adaptation: Lag-Cumulative Effects and Resilience Dynamics in Central Asia. Ecohydrology, 18(7), e70145.
-
Olimjonov, N. (2025). ASSESSMENT OF THE LONG-TERM DYNAMICS OF AIR TEMPERATURE CHANGE IN THE KASHKADARYA REGION AND ITS IMPACT ON WATER RESOURCES. In INTERNATIONAL CONFERENCE ON SCIENCE,EDUCATION LAW(Vol. 1,Numbers 3,part 2, pp.35–40). Zenodo. https://doi.org/10.5281/zenodo.17936358
-
Gafforov, K. S., Bao, A., Rakhimov, S., Liu, T., Abdullaev, F., Jiang, L., ... Mukanov, Y. (2020). The assessment of climate change on rainfall-runoff erosivity in the Chirchik–Akhangaran Basin, Uzbekistan. Sustainability, 12(8), 3369. https://doi.org/10.3390/su12083369
-
Wang, J., Chen, C., Wang, J., Yao, Z., Wang, Y., Zhao, Y., ... Liu, T. (2024). NDVI estimation throughout the whole growth period of multi-crops using RGB images and deep learning. Agronomy, 15(1), 63. https://doi.org/10.3390/agronomy15010063
-
Bao, Y., Liu, T., Duan, L., Zhang, W., Liu, H., Singh, V. P. (2025). Evapotranspiration components and its driving mechanism in a sandy shrubland. Ecological Indicators, 180, 114322. https://doi.org/10.1016/j.ecolind.2025.114322
-
Rouse Jr, J. W., Haas, R. H., Schell, J. A., Deering, D. W. (1973, December). Paper a 20. In Third earth resources technology satellite-1 symposium: The proceedings of a symposium held by Goddard space flight center at Washington, DC on (Vol. 351, p. 309).
-
Abbasi, N., Nouri, H., Didan, K., Barreto-Muñoz, A., Chavoshi Borujeni, S., Salemi, H., Opp, C., Siebert, S., Nagler, P. (2021). Estimating Actual Evapotranspiration over CroplandsUsing Vegetation Index Methods and Dynamic Harvested Area. Remote Sensing, 13(24), 5167. https://doi.org/10.3390/rs13245167
-
Xu, M., Kang, S., Wu, H., Yuan, X.(2018). Detection of spatio-temporal variability of air temperature and precipitation based on long-term meteorological station observations over Tianshan Mountains, Central Asia. Atmospheric research, 203, 141-163.https://doi.org/10.1016/j.atmosres.2017.12.007
-
Kudoyarova, G. R., Xolodova, V. P., Veselov, D. S. (2013). Sovremennoe sostoyanie problemi vodnogo balansa rasteniy pri defitsite vodi. Fiziologiya rasteniy, 60(2), 155-155.(Russian)
-
Wen, R., Jiang, P., Qin, M., Jia, Q., Cong, N., Wang, X., ... Chen, N. (2023). Regulation of NDVI and ET negative responses to increased atmospheric vapor pressure deficit by water availability in global drylands. Frontiers in Forests and Global Change, 6, 1164347. https://doi.org/10.3389/ffgc.2023.1164347
-
Karnieli, A., Ohana-Levi, N., Silver, M., Paz-Kagan, T., Panov, N., Varghese, D., Chrysoulakis, N., Provenzale, A. (2019). Spatial and Seasonal Patterns in Vegetation Growth-Limiting Factors over Europe. Remote Sensing, 11(20), 2406. https://doi.org/10.3390/rs11202406
-
Liu, L., Zhang, S., Zhou, Y., He, Q., Ruishen, L., Han, Y., Fang, K., Luo, M. (2024). The lag response time of reference evapotranspiration to VPD and air temperature is influenced by both climate and vegetation: Evidence from Inner Mongolia, China. Wiley. https://doi.org/10.22541/au.173168289.90455938/v1
-
Brown, M. E., Pinzon, J. E., Didan, K., Morisette, J. T., Tucker, C. J. (2006). Evaluation of the consistency of long-term NDVI time series derived from AVHRR,SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors. IEEE Transactions on Geoscience and Remote Sensing, 44(7), 1787–1793. https://doi.org/10.1109/tgrs.2005.860205
-
Jasso, A., Muñoz, I., Pinto, D., Ramírez, J. M. (2026). Atmospheric Correction forMultispectral Satellite Imagery: An introductory review. Geofísica Internacional, 65(2), 2187-2221. https://doi.org/10.22201/igeof.2954436xe.2026.65.2.1901 ISSN: 2181-1369; Irrigation and Melioration 2026; 12 (2). 58 of 58
-
Letu, H., Shang, H., Ma, R., Shi, C., Nakajima, T. Y., Ishimoto, H., ... Shi, G. (2026). CARE: A next generation high resolution cloud and radiation remote sensing product and its Earth system applications. Science Bulletin. https://doi.org/10.1016/j.scib.2026.02.046
-
Almalki, R., Khaki, M., Saco, P. M., Rodriguez, J. F. (2022). Monitoring and mapping vegetation cover changes in arid and semi-arid areas using remote sensing technology: A review. Remote Sensing, 14(20), 5143. https://doi.org/10.3390/rs14205143
-
Xu, Y., Dai, Q. Y., Lu, Y. G., Zhao, C., Huang, W. T., Xu, M., Feng, Y. X. (2024). Identification of ecologically sensitive zones affected by climate change and anthropogenic activities in Southwest China through a NDVI-based spatial-temporal model. Ecological Indicators, 158, 111482. https://doi.org/10.1016/j.ecolind.2023.111482
-
Allen, R. G., Pereira, L. S., Raes, D., Smith, M. (1998). Crop evapotranspiration- Guidelines for computing crop water requirements- FAO Irrigation and drainage paper 56. In Irrigation and Drainage. https://doi.org/10.1016/j.eja.2010.12.001
-
Makhmudova, U., Khasanov, S., Karimov, A., Abdurakhmonov, S. (2023). Evaluation of perennial reference evapotranspiration (ETo) over a typical dryland using satellite images: A case study from Uzbekistan. Ecohydrology Hydrobiology, 23(3), 484-497. https://doi.org/10.1016/j.ecohyd.2023.03.006Get rights and content
-
Gao, F., Hilker, T., Zhu, X., Anderson, M., Masek, J., Wang, P., Yang, Y. (2015). Fusing Landsat and MODIS data for vegetation monitoring. IEEE Geoscience and Remote Sensing Magazine, 3(3), 47-60. 10.1109/MGRS.2015.2434351
-
Robinson, N. P., Allred, B. W., Jones, M. O., Moreno, A., Kimball, J. S., Naugle, D. E., Erickson, T. A., Richardson, A. D. (2017). A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States. Remote Sensing, 9(8).863.https://doi.org/10.3390/rs9080863
-
Ustin, S. L., Middleton, E. M. (2024). Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications. Sensors, 24(11), 3488. https://doi.org/10.3390/s24113488
-
Adugna, T., Xu, W., Fan, J., Luo, X., Jia, H. (2024). Multi-Temporal Pixel-Based Compositing for Cloud Removal Based on Cloud Masks Developed Using Classification Techniques. Remote Sensing, 16(19),3665. https://doi.org/10.3390/rs16193665
-
Tittebrand, A., Spank, U., Bernhofer, C. H. (2009). Comparison of satellite-and ground-based NDVI above different land-use types. Theoretical and Applied Climatology, 98(1), 171-186. https://doi.org/10.1007/s00704-009-0103-3
-
Zeng, Z., Liu, X. (2025). Modelled Sensitivity of Evapotranspiration to Vegetation Change: Reconciling Observations and Earth System Models. https://doi.org/10.5194/egusphere-egu25-7853
-
Gusev, A. P. (2022). Prostranstvenno-vremennaya dinamika NDVI polesskix landshaftov kak reaksiya na klimaticheskie izmeneniya. (Russian).
Mualliflar haqida
Litsenziya
Mualliflik huquqi (c) Irrigation and Melioration

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.