The general consensus on future climate projections poses new and increased concerns about climate change and its impacts. Droughts are primarily worrying, since they contribute to altering the composition, distribution, and abundance of species. Grasslands, for example, are the primary source for grazing mammals and modifications in climate determine variation in the available yields for cattle. To support the agriculture sector, international organizations such as the Food and Agriculture Organization (FAO) of the United Nations are promoting the development of dedicated monitoring initiatives, with particular attention for undeveloped and disadvantaged countries. The temporal scale is very important in this context, where long time series of data are required to compute consistent analyses. In this research, we discuss the results regarding long-term grass biomass estimation in an extended African region. The results are obtained by means of a procedure that is mostly automatic and replicable in other contexts. Zambia has been identified as a significant test area due to its vulnerability to the adverse impacts of climate change as a result of its geographic location, socioeconomic stresses, and low adaptive capacity. In fact, analysis and estimations were performed over a long time window (21 years) to identify correlations with climate variables, such as precipitation, to clarify sensitivity to climate change and possible effects already in place. From the analysis, decline in both grass quality and quantity was not currently evident in the study area. However, pastures in the considered area were found to be vulnerable to changing climate and, in particular, to the water shortages accompanying drought periods.

中文翻译：

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卫星数据对牧场的草地生物量进行长期估算

关于未来气候预测的普遍共识引起了对气候变化及其影响的新的和越来越多的关注。干旱主要令人担忧，因为干旱有助于改变物种的组成，分布和数量。例如，草原是放牧哺乳动物的主要来源，气候的变化决定了牛的可用产量的变化。为了支持农业部门，诸如联合国粮食及农业组织（粮农组织）之类的国际组织正在促进制定专门的监测倡议，特别是对不发达国家和处境不利的国家的关注。在这种情况下，时间尺度非常重要，在这种情况下，需要长时间的数据序列来计算一致的分析。在这项研究中 我们讨论了扩展非洲地区有关长期草木生物量估计的结果。通过大多数情况下可自动复制的程序来获得结果。赞比亚因其地理位置，社会经济压力和低适应能力而易受气候变化不利影响的影响，因此被确定为重要的试验区。实际上，分析和估计是在很长一段时间（21年）内进行的，以确定与气候变量（如降水​​）的相关性，以阐明对气候变化的敏感性和可能的​​影响。根据分析，目前研究区域内草质和数量均没有下降。但是，发现该地区的牧场容易受到气候变化的影响，