- Article
Construction and Assessment of a Drought-Monitoring Index Based on Multi-Source Data Using a Bias-Corrected Random Forest (BCRF) Model
- Yihao Wang,
- Linghua Meng,
- Huanjun Liu,
- Chong Luo,
- Yilin Bao,
- Beisong Qi and
- Xinle Zhang
Agricultural drought significantly impacts agricultural production, highlighting the need for accurate monitoring. Accurate agricultural-drought-monitoring models are critical for timely warning and prevention. The random forest (RF) is a popular art...

