太原理工大学学报2019，Vol.50Issue(1)：69-75,7.DOI:10.16355/j.cnki.issn1007-9432tyut.2019.01.011
基于时空融合的NDVI时序生成技术在冬小麦监测中的应用
Application of NDVI Time-series Generation Technique Based on Spatial-temporal Fusion in Winter Wheat Monitoring
摘要
Abstract
Normalized difference vegetation index (NDVI) with high spatial and temporal resolution is of great significance for dynamic monitoring of winter wheat, however, Gaofen-1satellite can not get time-series data.With the aim to solve this problem, northeast Henan province was taken as the experimental area, the GF-1/WFV and MODIS surface reflectance product MOD09Q1 data of 5different phenological periods of winter wheat were analyzed by STARFM spatial-temporal algorithm.The 5different phenological periods include emergence and growth, over-wintering, returning green, jointing, and maturation.Finally, 8dstep NDVI time-series data of GF-1/WFV was generated.The results show that correlation coefficients between predicted NDVI and actual NDVI of 5different phenological periods are 0.695 9, 0.840 4, 0.892 1, 0.897 0, 0.632 9, generated NDVI time-series data of GF-1/WFV has high consistency with corresponding MOD09Q1 NDVI data.关键词
NDVI/时空融合/STARFM/MODIS/GF-1/冬小麦/物候期Key words
NDVI/spatial-temporal fusion/STARFM/MODIS/GF-1/winter wheat/phenological period分类
农业科技引用本文复制引用
李胜林,李大成,韩启金,龙小祥..基于时空融合的NDVI时序生成技术在冬小麦监测中的应用[J].太原理工大学学报,2019,50(1):69-75,7.基金项目
国家自然科学基金资助项目(41501372) （41501372）
山西省高校科技创新研究项目(2016144) （2016144）
民用空间基础设施建设项目([2016]2316) （[2016]2316）
