Area-to-point regression Kriging approach fusion of Landsat 8 OLI and Sentinel 2 data for assessment of soil macronutrients at Anaimalai, Coimbatore
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-022-10571-1.pdf
Reference43 articles.
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2. Armannsson, S. E., Ulfarsson, M. O., Sigurdsson, J., Nguyen, H. V., & Sveinsson, J. R. (2021). A comparison of optimized Sentinel-2 super-resolution methods using wald’s protocol and Bayesian optimization. Remote Sensing, 13(11), 2192. https://doi.org/10.3390/rs13112192
3. Bolton, D. K., Gray, J. M., Melaas, E. K., Moon, M., Eklundh, L., & Friedl, M. A. (2020). Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery. Remote Sensing of Environment, 240, 111685. https://doi.org/10.1016/j.rse.2020.111685
4. Brede, B., Verrelst, J., Gastellu-Etchegorry, J. P., Clevers, J. G., Goudzwaard, L., Den Ouden, J., Verbesselt, J., & Herold, M. (2020). Assessment of workflow feature selection on forest LAI prediction with sentinel-2A MSI, landsat 7 ETM+ and Landsat 8 OLI. Remote Sensing, 12(6), 915. https://doi.org/10.3390/rs12060915
5. Chen, B., Jing, L., & Yufang, J. (2021). Deep learning for feature-level data fusion: Higher resolution reconstruction of historical Landsat archive Remote Sensing, 13(2), 167. https://doi.org/10.3390/rs13020167
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