基于Google Earth Engine平台的湿地景观空间格局演变分析:以白洋淀为例

Evolution characteristics analysis of wetland landscape pattern based on Google Earth Engine platform: A case study on Baiyangdian

长时间序列数据分析有助于人们更好的了解事物本质,但传统的长时间序列数据集的获取和处理需要花费大量的人力和财力,对于大尺度范围的湿地生态系统长时间序列数据的获取更加困难.以Google数据中心数万计CPU为运算基础的Google Earth Engine平台为长时间序列数据的获取和处理提供了契机.鉴于此,基于Google Earth Engine平台,作者生产了白洋淀地区1987—2017年的NDVI、NDWI数据集,并以此对白洋淀湿地生态系统景观类型进行分类,运用景观生态学方法研究了近30 a白洋淀湿地生态系统景观演变特征,同时表明了Google Earth Engine平台在监测湿地生态系统景观空间格局变化的可行性与优越性.

The analysis of long-term time series data helps us to understand the nature of things better.However, more financial and human resource are required when the traditional means are used to obtain long-term time series data. Google Earth Engine platform provides an opportunity for acquisition and processing long-term time series data. In view of this, Landsat images from 1987 to 2017 were downloaded and processed based on Google Earth Engine platform, and the images with annual maximum value of NDVI and NDWI were obtained by means of maximum value composite. In addition, the landscape types of Baiyangdian Wetland ecosystem were classified using NDVI dataset and NDWI dataset, and the landscape evolution characteristics of Baiyangdian Wetland ecosystem over the past 30 years were studied by means of landscape ecology. The study of Baiyangdian Wetland ecosystem showed the feasibility and superiority of Google Earth Engine platform.