Funder
science and engineering research board
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Reference46 articles.
1. Acharya, T. D., Lee, D. H., Yang, I. T., & Lee, J. K. (2016). Identification of water bodies in a Landsat 8 OLI image using a J48 decision tree. Sensors, 16(7), 1075. https://doi.org/10.3390/s16071075.
2. Alexakis, D. D., & Tsanis, I. K. (2016). Comparison of multiple linear regression and artificial neural network models for downscaling TRMM precipitation products using MODIS data. Environmental Earth Sciences, 75(14), 1–13. https://doi.org/10.1007/s12665-016-5883-z.
3. Awad, M. (2014). Sea water chlorophyll-a estimation using hyperspectral images and supervised artificial neural network. Ecological Informatics, 24, 60–68. https://doi.org/10.1016/j.ecoinf.2014.07.004.
4. Bhosle, K., & Musande, V. (2019). Evaluation of deep learning CNN model for land use land cover classification and crop identification using hyperspectral remote sensing images. Journal of the Indian Society of Remote Sensing, 47(11), 1949–1958. https://doi.org/10.1007/s12524-019-01041-2.
5. Caballero, D., Calvini, R., & Amigo, J. M. (2020). Hyperspectral imaging in crop fields: Precision agriculture. Data handling in science and technology (Vol. 32, pp. 453–473). Elsevier.
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