2010-2020蒙古国草地地上生物量数据集
收藏地球大数据科学工程2024-03-04 收录
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针对蒙古国草地,利用遥感地表反射率率、太阳辐射以及气温信息, 采用Carnegie-Ames-Stanford Approach model (CASA)模型和根冠比相结合的方法,生成草地生长季的地上生物量(单位为g/m2)。利用地上生物量地面观测数据进行验证,结果表明两者R2为0.59-0.79间变化,RMSE为13.91-26.57 g/m2。文件命名方式为Mongolia_MODIS250m_Grassland_AGB_YYYY.tif,其中YYYY代表2010-2020年某一年份。
For grasslands in Mongolia, remote sensing surface reflectance, solar radiation, and air temperature data were used, combined with the Carnegie-Ames-Stanford Approach (CASA) model and root-to-shoot ratio, to generate above-ground biomass (unit: g/m²) during the grass growing season. Validation was performed using ground-observed above-ground biomass data, with results showing that the coefficient of determination (R²) varies between 0.59 and 0.79, and the root mean square error (RMSE) ranges from 13.91 to 26.57 g/m². The file naming convention is Mongolia_MODIS250m_Grassland_AGB_YYYY.tif, where YYYY represents a specific year from 2010 to 2020.
提供机构:
中国科学院空天信息创新研究院



