Department of Geographical Sciences, University of Maryland, College Park, MD 20740, USA.
Science. 2019 Jan 11;363(6423). doi: 10.1126/science.aar3629. Epub 2019 Jan 10.
Baccini (Reports, 13 October 2017, p. 230) report MODIS-derived pantropical forest carbon change, with spatial patterns of carbon loss that do not correspond to higher-resolution Landsat-derived tree cover loss. The assumption that map results are unbiased and free of commission and omission errors is not supported. The application of passive moderate-resolution optical data to monitor forest carbon change overstates our current capabilities.
巴奇尼(报道,2017 年 10 月 13 日,第 230 页)报告了 MODIS 衍生的泛热带森林碳变化,其碳损失的空间模式与分辨率更高的陆地卫星衍生的树木覆盖损失不对应。没有证据表明地图结果是无偏的,也没有委员会和遗漏错误。将被动中分辨率光学数据应用于监测森林碳变化,夸大了我们当前的能力。