Science. 1985 Jan 25;227(4685):369-75. doi: 10.1126/science.227.4685.369.
Data from the advanced very-high-resolution radiometer sensor on the National Oceanic and Atmospheric Administration's operational series of meteorological satellites were used to classify land cover and monitor vegetation dynamics for Africa over a 19-month period. There was a correspondence between seasonal variations in the density and extent of green-leaf vegetation and the patterns of rainfall associated with the movement of the Intertropical Convergence Zone. Regional variations, such as the 1983 drought in the Sahel of westem Africa, were observed. Integration of the weekly satellite data with respect to time for a 12-month period produced a remotely sensed estimate of primary production based upon the density and duration of green-leaf biomass. Eight of the 21-day composited data sets covering an 11-month period were used to produce a general land-cover classification that corresponded well with those of existing maps.
利用美国国家海洋和大气管理局业务系列气象卫星上的先进甚高分辨率辐射计传感器的数据,在 19 个月的时间里对非洲的土地覆盖进行分类,并监测植被动态。绿叶植被的密度和范围的季节性变化与与热带辐合带移动相关的降雨模式之间存在对应关系。观察到了区域变化,例如 1983 年西非萨赫勒地区的干旱。将每周卫星数据与 12 个月的时间进行整合,根据绿叶生物量的密度和持续时间,产生了对初级生产力的遥感估算。在涵盖 11 个月的 8 个 21 天合成数据集被用于生成一般土地覆盖分类,与现有地图的分类非常吻合。