Use of ICE index for satellite monitoring of irrigation massifs and land condition

Keywords: cooling irrigation effect, MODIS, NDVI, LST, crop irrigation, satellite-based crop monitoring

Abstract

Background. Globally, about half of the world's crops are cultivated under irrigation, which affects the climate of the fields and can also increase the comfort of the environment for humans. The development of satellite technologies has opened up opportunities for rapid and low-cost monitoring of the Irrigation Cooling Effect (ICE). This area of research is in its infancy, which predetermines the relevance of identifying the current trend of its development.

Purpose. To analyze scientific literature in the field of ICE satellite index use for irrigated lands monitoring, to identify main directions of development and research centers.

Materials and methods. Information from the Scopus and RSCI databases was used as the main source of information. The case study demonstrates the relationship between ICE and NDVI for the XUAR irrigated area in the PRC.

Results. Analysis of primary literature sources has shown that at present ICE is used mainly to assess the cooling effect of irrigated crop and its water consumption, the cooling effect of urban vegetation, and to assess the impact of land cover change on local and regional climate. The main research centers are scientific organizations of China and the USA, which is confirmed by the number of scientific publications and amount of their citations. A promising direction is the use of ICE for operational satellite monitoring of crops (including rain-fed crops).

Conclusion. Thus, ICE can be regarded as a useful complement to the NDVI index commonly used in satellite crop monitoring, which causes the increasing use of this index in the world, especially for irrigated land monitoring.

EDN: UWOZGV

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Author Biographies

Igor Yu. Savin, Federal Research Center “V.V. Dokuchaev Soil Science Institute”

Academician of RAS, Dr. Sc. (Agriculture), Chief Researcher

Alexey G. Terekhov, Institute of Information and Computing Technologies, Ministry of Education and Science of the Republic of Kazakhstan

Dr. Sc. (Technical), Chief Researcher

Ravil I. Mukhamediev, K.I. Satpayev Kazakh Research Technical University

Dr. Sc. (Technical), Professor

References

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Fischer, G., van Velthuizen, H. T., Shah, M. M., & Nachtergaele, F. O. (2002). Global Agroecological Assessment for Agriculture in the 21st Century: Methodology and Results. IIASA Research Report. IIASA, Laxenburg, Austria: RR-02-02, 155 p.

Gao, K., Santamouris, M., & Feng, J. (2020). On the cooling potential of irrigation to mitigate urban heat island. Sci. Total Environ., 740, 139754. https://doi.org/10.1016/j.scitotenv.2020.139754 EDN: https://elibrary.ru/IYNCII

Hou, M., Tian, F., Zhang, T., & Huang, M. (2019). Evaluation of canopy temperature depression, transpiration, and canopy greenness in relation to yield of soybean at reproductive stage based on remote sensing imagery. Agric. Water Manag., 222, 182-192. https://doi.org/10.1016/j.agwat.2019.06.005

Hou, M., Zhao, L., & Lin, A. (2023). Irrigation Cooling Effect on Local Temperatures in the North China Plain Based on an Improved Detection Method. Remote Sens., 15, 4571. https://doi.org/10.3390/rs15184571 EDN: https://elibrary.ru/NYVFOZ

Kucera, D., & Jenerette, G. D. (2023). Urban greenness and its cooling effects are influenced by changes in drought, physiography, and socio-demographics in Los Angeles, CA. Urban Climate, 52, 101743. https://doi.org/10.1016/j.uclim.2023.101743 EDN: https://elibrary.ru/PKGLZP

Kueppers, L. M., Snyder, M. A., & Sloan, L. C. (2007). Irrigation cooling effect: Regional climate forcing by land-use change. Geophys. Res. Lett., 34, L03703. https://doi.org/10.1029/2006GL028679

Lawston, P. M., Santanello, J. A., Jr., Hanson, B., & Arsensault, K. (2020). Impacts of irrigation on summertime temperatures in the pacific northwest. Earth Interactions, 24(1), 1. https://doi.org/10.1175/ei-d-19-0015.1 EDN: https://elibrary.ru/BQTKUO

Li, D., Chen, Y., Hu, T., Cui, Y., Luo, Y., Luo, H., & Meng, Q. (2020). Climate changes in the Lhasa River basin, Tibetan Plateau: Irrigation induced cooling along with a warming trend. Theor. Appl. Climatol., 140, 1043-1054. https://doi.org/10.1007/s00704-020-03146-y EDN: https://elibrary.ru/MLEQAS

Li, M. (2024). Research on the effects of extreme heat exposure on human health. Theoretical and Natural Science, 29, 194-199. https://doi.org/10.54254/2753-8818/29/20240777 EDN: https://elibrary.ru/BQKVKA

Li, Y., Guan, K., Peng, B., Franz, T. E., Wardlow, B., & Pan, M. (2020). Quantifying irrigation cooling benefits to maize yield in the US Midwest. Global Change Biology, 26(5), 3065-3078. https://doi.org/10.1111/gcb.15002 EDN: https://elibrary.ru/UQBZXM

Li, Z.-L., Wu, H., Duan, S.-B., Zhao, W., Ren, H., Liu, X., Leng, P., Tang, R., Ye, X., Zhu, J., Sun, Y., Si, S., Liu, M., Li, J., Zhang, X., Shang, G., Tang, B.-H., Yan, G., & Zhou, C. (2022). Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications. Reviews of Geophysics., 61, e2022RG000777. https://doi.org/10.1029/2022RG000777 EDN: https://elibrary.ru/YASDOG

Lin, Y., Li, X., Zhang, T., Chao, N., Yu, J., Cai, J., & Sneeuw, N. (2020). Water Volume Variations Estimation and Analysis Using Multisource Satellite Data: A Case Study of Lake Victoria. Remote Sensing, 12(18), 3052. https://doi.org/10.3390/rs12183052 EDN: https://elibrary.ru/OYXBLN

Liu, J., Jin, J., & Niu, G.-Y. (2021). Effects of Irrigation on Seasonal and Annual Temperature and Precipitation over China Simulated by the WRF Model. Journal of Geophysical Research: Atmospheres, 126(10), e2020JD034222. https://doi.org/10.1029/2020jd034222 EDN: https://elibrary.ru/CKHLTN

Liu, N., Zhao, X., Zhang, X., Zhao, J., Wang, H., & Wu, D. (2023). Remotely sensed evidence of the divergent climate impacts of wind farms on croplands and grasslands. Science of the Total Environment, 905, 167203. https://doi.org/10.1016/j.scitotenv.2023.167203 EDN: https://elibrary.ru/WMEXBO

Lobell, D. B., Bonfils, C. J., Kueppers, L. M., & Snyder, M. A. (2008). Irrigation cooling effect on temperature and heat index extremes. Geophys. Res. Lett., 35, L09705. https://doi.org/10.1029/2008GL034145 EDN: https://elibrary.ru/MEZNKF

Mu, T., Liu, G., Yang, X., & Yu, Y. (2023). Soil-Moisture Estimation Based on Multiple-Source Remote-Sensing Images. Remote Sensing, 15(1), 139. https://doi.org/10.3390/rs15010139 EDN: https://elibrary.ru/TSTQEM

Pan, T., Zhang, C., Kuang, W., Luo, G., Du, G., & Yin, Z. (2020). Large-scale rain-fed to paddy farmland conversion modified land-surface thermal properties in Cold China. Science of the Total Environment, 722, 137917. https://doi.org/10.1016/j.scitotenv.2020.137917 EDN: https://elibrary.ru/VPQTHT

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Published
2025-08-30
How to Cite
Savin, I., Terekhov, A., & Mukhamediev, R. (2025). Use of ICE index for satellite monitoring of irrigation massifs and land condition. Siberian Journal of Life Sciences and Agriculture, 17(2), 154-175. https://doi.org/10.12731/2658-6649-2025-17-2-1128
Section
Ecology, Soil Science and Nature Management