Оценка пространственно-временной зависимости между эвапотранспирацией и индексом NDVI в аридных районах южных регионов

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).