Landsat-based continuous monthly 30m×30m land surface NDVI dataset in Qilian Mountain area (1986-2017)

This data set includes the monthly synthesis of 30m*30m surface vegetation index products in Qilian mountain area in 1986, 1990, 1995, 2000, 2005, 2010, 2015, and 2017. Max value composition (MVC) method was used to synthesize monthly NDVI products on the surface using the reflectivity data of Landsat 5, Landsat 8 and sentinel 2 channels from Red and NIR channels. The data are synthesized monthly through Google Earth Engine cloud platform, and the missing pixels are interpolated by calculating the index of the model. The quality of the data is good, and it can be used in environmental change monitoring and other fields.

本数据集涵盖1986年、1990年、1995年、2000年、2005年、2010年、2015年及2017年祁连山地区30米×30米分辨率地表植被指数产品的月度合成数据。本数据集采用最大值合成（Max Value Composition, MVC）法，以Landsat 5、Landsat 8及哨兵2号（Sentinel-2）的红波段与近红外波段反射率数据为基础，合成月度归一化植被指数（Normalized Difference Vegetation Index, NDVI）地表产品。数据通过谷歌地球引擎（Google Earth Engine, GEE）云平台完成月度合成流程，并通过模型索引计算对缺失像素进行插值修复。该数据集质量优良，可应用于环境变化监测等相关领域。