Grass production dataset in central and eastern Mongolia based remote sensing (2006–2015)

Grass production is an important basis for scientific use of grassland resources and management decision-making concerning grass-livestock balance. An accurate timely understanding of the spatio-temporal distribution of grass production and its changes is of great significance for the sustainable development of grassland ecological environment. This dataset used MODIS remote sensing data and meteorological data, in combination with grassland sampling data, to construct a grass production estimation model suitable for high altitude and arid environment in Mongolia. An optimal model was obtained based on an accuracy evaluation of the models, which was used to obtain the spatial and temporal distribution data of grass production in the six provinces of central and eastern Mongolia from 2006 to 2015. The results of data quality evaluation showed that exponential model was more suitable for the estimation of grassland production in this area than linear model or multi-linear model. The exponential model based on MSAVI had the best simulation effect, R2 was 0.72, RMSE was 279.09 kg/hm2, and the simulation accuracy was 78%. This data set is in TIF format with a data volume of 113 MB.

草地生产是科学利用草地资源和草地与牲畜平衡管理决策的重要基础。对草地生产时空分布及其变化的准确及时理解，对于草地生态环境的可持续发展具有重要意义。本数据集采用MODIS遥感数据和气象数据，结合草地采样数据，构建了适用于蒙古高原和干旱环境的草地生产估算模型。通过模型精度评估，获得了一组最优模型，用以获取蒙古中东部六个省份2006年至2015年草地生产的时空分布数据。数据质量评估结果显示，指数模型比线性模型或多线性模型更适合该地区草地生产的估算。基于MSAVI的指数模型具有最佳的模拟效果，R²值为0.72，均方根误差RMSE为279.09千克/公顷，模拟精度达到78%。本数据集以TIF格式存储，数据量为113兆字节。