Evaluating the impact of sampling designs on the performance of machine learning techniques for land use land cover classification using Sentinel-2 data.

MLA

Rawat, Shivam, and Rashmi Saini. “Evaluating the Impact of Sampling Designs on the Performance of Machine Learning Techniques for Land Use Land Cover Classification Using Sentinel-2 Data.” International Journal of Remote Sensing, vol. 44, no. 24, Dec. 2023, pp. 7889–908. EBSCOhost, https://doi.org/10.1080/01431161.2023.2290994.

APA

Rawat, S., & Saini, R. (2023). Evaluating the impact of sampling designs on the performance of machine learning techniques for land use land cover classification using Sentinel-2 data. International Journal of Remote Sensing, 44(24), 7889–7908. https://doi.org/10.1080/01431161.2023.2290994

Chicago

Rawat, Shivam, and Rashmi Saini. 2023. “Evaluating the Impact of Sampling Designs on the Performance of Machine Learning Techniques for Land Use Land Cover Classification Using Sentinel-2 Data.” International Journal of Remote Sensing 44 (24): 7889–7908. doi:10.1080/01431161.2023.2290994.