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Comparison of NDVI, NDRE, MSAVI and NDSI Indices for Early Diagnosis of Crop Problems Cover

Comparison of NDVI, NDRE, MSAVI and NDSI Indices for Early Diagnosis of Crop Problems

Open Access
|Feb 2023

References

  1. Aceves, E.Á., Guevara, H.J.P., Enríquez, A.C., Gaxiola, J.C., Cervantes, M.P., Barrientos, J.H., Herrera, L.E., Guevara, V.M.P., Samuel, C.L. (2019). Determining Salinity and Ion Soil Using Satellite Image Processing. Polish Journal of Environmental Studies, 28(3), 1549-1560.
  2. Allbed, A. and Kumar, L. (2013). Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review. Advances in Remote Sensing, 2(4), 373-385.
  3. Almeida-Ñauñay, A.F., Benito, R.M., Quemada, M., Losada, J.C., Tarquis, A.M. (2020). Complexity of the Vegetation-Climate System Through Data Analysis. International Conference on Complex Networks and Their Applications, 943, 609-619.
  4. Almeida-Ñauñay, A.F., Tarquisab, A.M., López-Herreraa, J., Pérez-Martína, E., Pancorboac, J.L., Raya-Serenoac, M.D., Quemada, M. (2023). Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery. Computers and Electronics in Agriculture, 205, 107559.
  5. Boiarskii, B., Hasegawa, H. (2019). Comparison of NDVI and NDRE Indices to Detect Differences in Vegetation and Chlorophyll Content. International Conference on Applied Science, Technology and Engineering. Journal of Mathematical and Computational Science, 4, 20-29.
  6. Daldegan, A., Gonzalez-Roglich, G., Noon, M., Zvoleff, A.I. (2020). Assessing the performance of NDVI, 2-band EVI and MSAVI vegetation indices for land degradation monitoring across variable biomass cover at global scale [Absract]. American Geophysical Union, Fall Meeting. Retrieved December 6, 2022, https://ui.adsabs.harvard.edu/abs/2020AGUFMSY0030008A/abstract
  7. Fabijańczyk, P., Zawadzki, J. (2022). Spatial correlations of NDVI and MSAV2 Iindices of green and forested areas of urban agglomeration, case study Warsaw, Poland. Remote Sensing Applications: Society and Environment, 26, 100721.
  8. Hassan, M.A., Rasheed, A., Yang, G., Reynolds, M., Xia, X., Xiao, Y., He, Z. (2019). A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform. Plant Science, 282, 95-103.
  9. Havrylenko Y., Kholodniak Y., Halko S., Vershkov O., Bondarenko L., Suprun O., Miroshnyk O Shchur T., Śrutek M., Gackowska M. (2021). Interpolation with specified error of a point series belonging to a monotone curve. Entropy, 23(5), 493.
  10. Herbei, M.V., Popescu, C.A., Sala, F. (2022). Characterization of vegetation and prediction of biomass production in silage corn crop based on satellite images. Life Science and Sustainable Development, 3(2), 33-40.
  11. Huang, S., Tang, L., Hupy, J.P., Wang, Y., Shao, G. (2021). A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing. Journal of Forestry Research, 32, 1-6.
  12. Kayad, A., Sozzi, M., Gatto, S., Marinello, F., Pirotti, F. (2019). Monitoring Within-Field Variability of Corn Yield using Sentinel-2 and Machine Learning Techniques. Remote Sensing, 11(23), 2873.
  13. Karaiev, O., Bondarenko, L., Halko, S., Miroshnyk, O., Vershkov, O., Karaieva, T., Shchur, T., Findura, P., Prístavka, M. (2021). Mathematical modelling of the fruit-stone culture seeds calibration process using flat sieves. Acta Technologica Agriculturae, 24(3), 119-123.
  14. Meivel, S., Maheswari, S. (2022). Monitoring of potato crops based on multispectral image feature extraction with vegetation indices. Multidimensional Systems and Signal Processing, 33(3), 1-27.
  15. Naguib, N.S., Daliman, S. (2022). Analysis of NDVI and NDRE Indices Using Satellite Images for Crop Identification at Kelantan. 4th International Conference on Tropical Resources and Sustainable Sciences 2022 IOP Conf. Series: Earth and Environmental Science, 1102, 012054.
  16. Nguyen, K., Liou, Y., Tran, H., Hoang, P., Nguyen, T. (2020). Soil salinity assessment by using near-infrared channel and Vegetation Soil Salinity Index derived from Landsat 8 OLI data: a case study in the Tra Vinh Province, Mekong Delta, Vietnam. Progress in Earth and Planetary Science, 7/1, 1-16.
  17. Phung, H., Nguyen, L., Nguyen-Huy, T., Le-Toan, T., Apan, A. (2020). Monitoring rice growth status in the Mekong Delta, Vietnam using multitemporal Sentinel-1 data. Journal of Applied Remote Sensing, 14(1), 014518.
  18. Qawaqzeh, M.Z., Miroshnyk, O., Shchur, T., Kasner, R., Idzikowski, A., Kruszelnicka, W., Tomporowski, A., Bałdowska-Witos, P., Flizikowski, J., Zawada, M., Doerffer, K. (2021). Research of emergency modes of wind power plants using computer simulation. Energies, 14(16), 4780.
  19. Sagan, V., Sidike, P., Daloye, A., Erkbol, H., Fritschi, F., Maimaitijiang, M. (2020). Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning. Remote Sens, 12(9), 1357.
  20. Shammi, S.A., Meng, Q. (2021). Use time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling. Ecological Indicators, 121, 107124.
  21. Solangi, K.A., Siyal, A.A., Wu, Y., Abbasi, B., Solangi, F., Lakhiar, I.A., Zhou, G. (2019). An Assessment of the Spatial and Temporal Distribution of Soil Salinity in Combination with Field and Satellite Data: A Case Study in Sujawal District. Agronomy, 9(12), 869.
DOI: https://doi.org/10.2478/agriceng-2023-0004 | Journal eISSN: 2449-5999 | Journal ISSN: 2083-1587
Language: English
Page range: 47 - 57
Submitted on: Nov 1, 2022
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Accepted on: Jan 1, 2023
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Published on: Feb 28, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Andrii Voitik, Vasyl Kravchenko, Olexandr Pushka, Tetyana Kutkovetska, Taras Shchur, Sławomir Kocira, published by Polish Society of Agricultural Engineering
This work is licensed under the Creative Commons Attribution 4.0 License.