Contribution to Real-Time Estimation of Crop Phenological States in a Dynamical Framework Based on NDVI Time Series: Data Fusion With SAR and Temperature.

Caleb De Bernardis,Fernando Vicente-Guijalba,Tomás Martínez-Marín,Juan M. Lopez-Sanchez

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing（2016）

引用 32|浏览5

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摘要

In this study, a methodology based in a dynamical framework is proposed to incorporate additional sources of information to normalized difference vegetation index (NDVI) time series of agricultural observations for a phenological state estimation application. The proposed implementation is based on the particle filter (PF) scheme that is able to integrate multiple sources of data. Moreover, the dy...

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关键词

Agriculture,Predictive models,Data integration,Mathematical model,Estimation,Time series analysis,Remote sensing

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