The collapse of mining tailing dams in Brumadinho, Minas Gerais, Brazil, that occurred in 2019 was one of the worst environmental and social disasters witnessed in the country. In this sense, monitoring any impacted areas both before and after the disaster is crucial to understand the actual scenario and problems of disaster management and environmental impact assessment. In order to find answers to that problem, the aim of this study was to identify and analyze the spatiality of the impacted area by rupture of the tailing dam of the Córrego do Feijão mine in Brumadinho, Minas Gerais, by using orbital remote sensing. Land use and land occupation, phytoplankton chlorophyll-a, water turbidity, total suspended solids on water, and carbon sequestration efficiency by vegetation (CO₂Flux) were estimated by orbital imagery from the Landsat-8/OLI and MSI/Sentinel-2 sensors in order to assess the environmental impacts generated by the disaster. Data were extracted from spectral models in which the variables that best demonstrated the land use variation over the years were sought. Mean comparison by t-test was performed to compare the time series analyzed, that is, before and after the disaster. Through the analysis of water quality, it was observed that the environmental impact was calamitous to natural resources, especially water from Córrego do Feijão.

2019 年发生在巴西米纳斯吉拉斯州 Brumadinho 的采矿尾矿坝倒塌是该国目睹的最严重的环境和社会灾难之一。从这个意义上说，在灾前和灾后监测任何受影响的地区对于了解灾害管理和环境影响评估的实际情况和问题至关重要。为了找到该问题的答案，本研究的目的是通过使用轨道遥感来识别和分析米纳斯吉拉斯州布鲁马迪尼奥的 Córrego do Feijão 矿尾矿坝破裂影响区域的空间性。土地利用和土地占用、浮游植物叶绿素-a、水浊度、水上总悬浮固体和植被固碳效率（CO ₂Flux) 是通过来自 Landsat-8/OLI 和 MSI/Sentinel-2 传感器的轨道图像估计的，以评估灾难产生的环境影响。数据是从光谱模型中提取的，其中寻找最能证明多年来土地利用变化的变量。通过t检验进行均值比较以比较分析的时间序列，即灾难前后。通过对水质的分析，观察到环境影响对自然资源造成了灾难性的影响，尤其是来自 Córrego do Feijão 的水。