Using Sentinel-2 Imagery and Machine Learning Algorithms to Assess the Inundation Status of Nebraska Conservation Easements during 2018–2021
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Zhang, L.; Hu, Q.; Tang, Z. Using Sentinel-2 Imagery and Machine Learning Algorithms to Assess the Inundation Status of Nebraska Conservation Easements during 2018–2021. Remote Sens. 2022, 14, 4382. https://doi.org/10.3390/rs14174382
Zhang L, Hu Q, Tang Z. Using Sentinel-2 Imagery and Machine Learning Algorithms to Assess the Inundation Status of Nebraska Conservation Easements during 2018–2021. Remote Sensing. 2022; 14(17):4382. https://doi.org/10.3390/rs14174382
Chicago/Turabian StyleZhang, Ligang, Qiao Hu, and Zhenghong Tang. 2022. "Using Sentinel-2 Imagery and Machine Learning Algorithms to Assess the Inundation Status of Nebraska Conservation Easements during 2018–2021" Remote Sensing 14, no. 17: 4382. https://doi.org/10.3390/rs14174382
APA StyleZhang, L., Hu, Q., & Tang, Z. (2022). Using Sentinel-2 Imagery and Machine Learning Algorithms to Assess the Inundation Status of Nebraska Conservation Easements during 2018–2021. Remote Sensing, 14(17), 4382. https://doi.org/10.3390/rs14174382

