Datasets and relevant code in the Manuscript "Estimation of fire counts and fire radiative power using satellite optical and microwave vegetation indices with random forest method"

1. multiyears_season_fire_ndvi_fwi_edvi_0.25.matMultiyear averages of ln (FC), ln (FRP), DMC, ISI, EDVI10-18, EDVI18-36, and NDVI over East Asia in 2003–2010 2. RF_edvi_data.matEstimated FC and FRP based on RF model with EDVIs and NDVI 3.RF_fwis_data.matEstimated FC and FRP based on RF model without EDVIs and NDVI 4. temporal_variations.matEast Asia Regional Time Series Dataset 5.rf_train_cv_forest_review.pyRandom forest model python code1. multiyears_season_fire_ndvi_fwi_edvi_0.25.mat：包含东亚区域2003-2010年自然对数转换的火消耗量(Fire Consumption, FC)、火辐射功率(Fire Radiative Power, FRP)、达夫湿度码(Duff Moisture Code, DMC)、初始蔓延指数(Initial Spread Index, ISI)、10-18天增强差值植被指数(Enhanced Difference Vegetation Index, EDVI10-18)、18-36天增强差值植被指数(Enhanced Difference Vegetation Index, EDVI18-36)以及归一化植被指数(Normalized Difference Vegetation Index, NDVI)的多年季平均数据集 2. RF_edvi_data.mat：以增强差值植被指数(Enhanced Difference Vegetation Index, EDVI)和归一化植被指数(Normalized Difference Vegetation Index, NDVI)为自变量，基于随机森林(Random Forest, RF)模型估算得到的火消耗量(Fire Consumption, FC)与火辐射功率(Fire Radiative Power, FRP)数据集 3. RF_fwis_data.mat：未使用增强差值植被指数(Enhanced Difference Vegetation Index, EDVI)与归一化植被指数(Normalized Difference Vegetation Index, NDVI)，基于随机森林(Random Forest, RF)模型估算得到的火消耗量(Fire Consumption, FC)与火辐射功率(Fire Radiative Power, FRP)数据集 4. temporal_variations.mat：东亚区域时间序列数据集 5. rf_train_cv_forest_review.py：随机森林模型训练与交叉验证的Python代码