Publisher
Springer Nature Switzerland
Reference23 articles.
1. Zhu, L., Radeloff, V.C., Ives, A.R.: Improving the mapping of crop types in the Midwestern US by fusing landsat and MODIS satellite data. Int. J. Appl. Earth Obs. Geoinf. 58, 1–11 (2017)
2. Chen, Y., et al.: Mapping croplands, cropping patterns, and crop types using MODIS time-series data. Int. J. Appl. Earth Obs. Geoinf. 69, 133–147 (2018)
3. Chauhan, H.J., Mohan, B.K.: Development of agricultural crops spectral library and classification of crops using hyperion hyperspectral data. J. Remote Sens. Technol. 1(1), 9 (2013)
4. Skriver, H., et al.: Crop classification using short-revisit multitemporal SAR data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 4(2), 423–431 (2011)
5. Khosravi, I., Alavipanah, S.K.: A random forest-based framework for crop mapping using temporal, spectral, textural and polarimetric observations. Int. J. Remote Sens. 40(18), 7221–7251 (2019)