Mapping and updating grazing capacity are necessary due to spatio-temporal variations of production in rangelands as a result of climatic and management changes. This study utilised short- and long-term grazing capacity mapping and monitoring by using satellite images in the rangelands of southern Zagros, Iran. In 2018, production of 16 rangeland types was estimated at spatial scales of 250 and 10 m from MODIS and Sentinel-2 images, and validated with field production data measured at 185 sampling sites through the R² coefficient of determination. The production maps, along with the parameters of allowable utilisation of rangeland plant species, animal grazing area, animal daily requirement and length of grazing period, were used to calculate grazing capacity. In addition, the effect of climatic fluctuations on grazing capacity was investigated using the Standard Index of Annual Precipitation (SIAP) index from 2009 to 2018. The production obtained from satellite images varied between 2.4 and 393.2 kg ha⁻¹ in 2018. The high correlation (80%) between image production maps and field measurements, as well as the significance of these relationships in all rangeland types (P < 0.05), allowed grazing capacity estimation by using satellite-based production. The minimum and maximum grazing capacities in a 100-day period were 1809 and 297 146 animal units (AU) respectively, in 258 387 ha. Grazing capacity monitoring from 2009 to 2018 showed that during a drought period, AUs were about 0.7 ha⁻¹ below those in years of above-average rainfall. Use of satellite remote-sensing with different spatio-temporal scales therefore appears capable of mapping and monitoring grazing capacity, and can be used as a management tool by rangeland owners and related organisations.

由于气候和管理变化导致牧场生产出现时空变化，因此有必要绘制和更新放牧能力。这项研究利用伊朗扎格罗斯南部牧场的卫星图像进行短期和长期放牧能力测绘和监测。2018 年，根据 MODIS 和 Sentinel-2 图像在 250 和 10 m 的空间尺度上估算了 16 种牧场类型的产量，并通过 R 2 在 185 个采样点测量的现场生产数据进行了^验证决定系数。生产图以及牧场植物种类允许利用、动物放牧面积、动物日需求量和放牧期长度等参数用于计算放牧能力。此外，利用2009年至2018年的年降水量标准指数（SIAP）指数调查了气候波动对放牧能力的影响。从卫星图像获得的2018年产量在2.4至393.2 kg ha -1 之间变化^。 (80%) 图像生成图和现场测量之间的关系，以及这些关系在所有牧场类型中的重要性 ( P < 0.05），允许使用基于卫星的生产来估计放牧能力。100 天期间的最小和最大放牧能力分别为 1809 和 297 146 动物单位 (AU)，面积为 258 387 公顷。2009年至2018年的放牧能力监测显示，在干旱时期，AUs比降雨量高于平均水平的年份低约0.7 ha ^{-1 。}因此，使用不同时空尺度的卫星遥感似乎能够绘制和监测放牧能力，并可以作为牧场所有者和相关组织的管理工具。