Detecting crop phenology from vegetation index time-series data by improved shape model fitting in each phenological stage

Crop phenology provides important information for crop growth management and yield estimations. The popular shape model fitting (SMF) method detects crop phenology from vegetation index (VI) time-series data, but it has two limitations. First, SMF assumes the same “relative position” of phenological...

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Veröffentlicht in:	Remote sensing of environment 2022-08, Vol.277, p.113060, Article 113060
Hauptverfasser:	Liu, Licong, Cao, Ruyin, Chen, Jin, Shen, Miaogen, Wang, Shuai, Zhou, Ji, He, Binbin
Format:	Artikel
Sprache:	eng
Schlagworte:	Crop classification Crop growth Crop phenology Crops Curve fitting Estimates Iterative methods Modelling Phenology Pixels Shape model Spatial variations Temporal variations Time series Triticum aestivum Vegetation Vegetation index Vegetation index time series Wheat Winter wheat
Online-Zugang:	Volltext
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